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Christian S. Gourieroux

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Gourieroux, Christian & Josiak, Joann, 1999. "Nonlinear persistence and copersistence," CEPREMAP Working Papers (Couverture Orange) 9920, CEPREMAP.

    Mentioned in:

    1. Non-linear Functions of Non-Stationary Data Can be Stationary
      by Dave Giles in Econometrics Beat: Dave Giles' Blog on 2013-02-27 03:17:00
  2. Christian Gouriéroux & Jean-Michel Zakoian, 2012. "Estimation Adjusted VaR," Working Papers 2012-16, Center for Research in Economics and Statistics.

    Mentioned in:

    1. What I Learned Last Week
      by Dave Giles in Econometrics Beat: Dave Giles' Blog on 2012-10-13 09:19:00
  3. Author Profile
    1. REPEC December 2018 Academic Economic Report Cards
      by Matthew Kahn in Environmental and Urban Economics on 2019-01-04 01:16:00

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Georges Dionne & Christian Gourieroux & Charles Vanasse, 2001. "Testing for Evidence of Adverse Selection in the Automobile Insurance Market: A Comment," Journal of Political Economy, University of Chicago Press, vol. 109(2), pages 444-473, April.

    Mentioned in:

    1. Testing for Evidence of Adverse Selection in the Automobile Insurance Market: A Comment (JPE 2001) in ReplicationWiki ()
  2. Author Profile
    1. Christian Gourieroux in Wikipedia (German)

Working papers

  1. Christian Gouriéroux & Alain Monfort & Jean-Michel Zakoian, 2018. "Consistent Pseudo-Maximum Likelihood Estimators and Groups of Transformations," Working Papers 2018-08, Center for Research in Economics and Statistics.

    Cited by:

    1. Gourieroux, Christian & Lu, Yang, 2019. "Least impulse response estimator for stress test exercises," Journal of Banking & Finance, Elsevier, vol. 103(C), pages 62-77.
    2. Francisco Blasques & Siem Jan Koopman & Andre Lucas, 2014. "Maximum Likelihood Estimation for Score-Driven Models," Tinbergen Institute Discussion Papers 14-029/III, Tinbergen Institute, revised 23 Oct 2017.

  2. Christian Gouriéroux & Alain Monfort, 2017. "Composite Indirect Inference with Application," Working Papers 2017-07, Center for Research in Economics and Statistics.

    Cited by:

    1. Blasques, F. & Gorgi, P. & Koopman, S.J., 2021. "Missing observations in observation-driven time series models," Journal of Econometrics, Elsevier, vol. 221(2), pages 542-568.

  3. Christian Gouriéroux & Alain Monfort & Jean-Paul Renne, 2017. "Identification and Estimation in Non-Fundamental Structural VARMA Models," Working Papers 2017-08, Center for Research in Economics and Statistics.

    Cited by:

    1. Moneta, Alessio & Pallante, Gianluca, 2022. "Identification of Structural VAR Models via Independent Component Analysis: A Performance Evaluation Study," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    2. Christis Katsouris, 2023. "Structural Analysis of Vector Autoregressive Models," Papers 2312.06402, arXiv.org, revised Feb 2024.
    3. Gabriele Fiorentini & Enrique Sentana, 2020. "Discrete Mixtures of Normals Pseudo Maximum Likelihood Estimators of Structural Vector Autoregressions," Working Papers wp2020_2023, CEMFI.
    4. Drautzburg, Thorsten & Wright, Jonathan H, 2021. "Refining Set-Identification in VARs through Independence," Economics Working Paper Archive 64575, The Johns Hopkins University,Department of Economics.
    5. Zema, Sebastiano Michele, 2022. "Directed acyclic graph based information shares for price discovery," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    6. Paul Levine & Joseph Pearlman & Stephen Wright & Bo Yang, 2023. "Imperfect Information and Hidden Dynamics," School of Economics Discussion Papers 1223, School of Economics, University of Surrey.
    7. Mélard, Guy, 2022. "An indirect proof for the asymptotic properties of VARMA model estimators," Econometrics and Statistics, Elsevier, vol. 21(C), pages 96-111.
    8. Sebastiano Michele Zema, 2023. "A non-Normal framework for price discovery: The independent component based information shares measure," LEM Papers Series 2023/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. Sascha A. Keweloh, 2023. "Structural Vector Autoregressions and Higher Moments: Challenges and Solutions in Small Samples," Papers 2310.08173, arXiv.org.
    10. Guay, Alain & Pelgrin, Florian, 2023. "Structural VAR models in the Frequency Domain," Journal of Econometrics, Elsevier, vol. 236(1).
    11. Miguel Cabello, 2022. "Robust Estimation of the non-Gaussian Dimension in Structural Linear Models," Papers 2212.07263, arXiv.org, revised Sep 2023.

  4. Christian Gouriéroux & Alain Monfort & Eric Renault, 2016. "Consistent Pseudo-Maximum Likelihood Estimators," Working Papers 2016-33, Center for Research in Economics and Statistics.

    Cited by:

    1. Gouriéroux, Christian & Monfort, Alain & Zakoian, Jean-Michel, 2017. "Pseudo-Maximum Likelihood and Lie Groups of Linear Transformations," MPRA Paper 79623, University Library of Munich, Germany.
    2. Moreno Bevilacqua & Christian Caamaño‐Carrillo & Reinaldo B. Arellano‐Valle & Víctor Morales‐Oñate, 2021. "Non‐Gaussian geostatistical modeling using (skew) t processes," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 48(1), pages 212-245, March.

  5. Christian Gouriéroux & Alain Monfort, 2016. "Composite Indirect Inference with Application to Corporate Risks," Working Papers 2016-32, Center for Research in Economics and Statistics.

    Cited by:

    1. Christian Gouriéroux & Alain Monfort & Eric Renault, 2017. "Consistent Pseudo-Maximum Likelihood Estimators," Working Papers 2017-10, Center for Research in Economics and Statistics.
    2. Antoine Djogbenou & Christian Gouri'eroux & Joann Jasiak & Maygol Bandehali, 2021. "Composite Likelihood for Stochastic Migration Model with Unobserved Factor," Papers 2109.09043, arXiv.org, revised Nov 2023.
    3. Kerem Tuzcuoglu, 2019. "Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects," Staff Working Papers 19-16, Bank of Canada.
    4. Gourieroux, Christian & Jasiak, Joann, 2018. "Misspecification of noncausal order in autoregressive processes," Journal of Econometrics, Elsevier, vol. 205(1), pages 226-248.

  6. Gouriéroux, Christian & Zakoian, Jean-Michel, 2016. "Local Explosion Modelling by Noncausal Process," MPRA Paper 71105, University Library of Munich, Germany.

    Cited by:

    1. Gourieroux, Christian & Jasiak, Joann, 2019. "Robust analysis of the martingale hypothesis," Econometrics and Statistics, Elsevier, vol. 9(C), pages 17-41.
    2. Frédérique Bec & Heino Bohn Nielsen & Sarra Saïdi, 2020. "Mixed Causal–Noncausal Autoregressions: Bimodality Issues in Estimation and Unit Root Testing," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1413-1428, December.
    3. Frédérique Bec & Alain Guay, 2020. "A simple unit root test consistent against any stationary alternative," THEMA Working Papers 2020-10, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    4. Kramkov, Viacheslav & Maksimov, Andrey, 2020. "Loan market markups and noncausal autoregressions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 60, pages 48-69.
    5. Davis, Richard A. & Song, Li, 2020. "Noncausal vector AR processes with application to economic time series," Journal of Econometrics, Elsevier, vol. 216(1), pages 246-267.
    6. Fries, Sébastien, 2018. "Conditional moments of noncausal alpha-stable processes and the prediction of bubble crash odds," MPRA Paper 97353, University Library of Munich, Germany, revised Nov 2019.
    7. Christian Gourieroux & Joann Jasiak & Michelle Tong, 2021. "Convolution‐based filtering and forecasting: An application to WTI crude oil prices," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1230-1244, November.
    8. Gourieroux, Christian & Jasiak, Joann, 2018. "Misspecification of noncausal order in autoregressive processes," Journal of Econometrics, Elsevier, vol. 205(1), pages 226-248.
    9. Frederique Bec & Alain Guay, 2020. "A Simple Unit Root Test Consistent Against Any Stationary Alternative," Working Papers 20-20, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.

  7. Christian Gouriéroux & Joann Jasiak, 2016. "Robust Analysis of the Martingale Hypothesis," Working Papers 2016-18, Center for Research in Economics and Statistics.

    Cited by:

    1. Maynard, Alex & Ren, Dongmeng, 2019. "The finite sample power of long-horizon predictive tests in models with financial bubbles," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 418-430.
    2. Cerruti, Gianluca & Lombardini, Simone, 2022. "Financial bubbles as a recursive process lead by short-term strategies," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 555-568.
    3. Christian Gourieroux & Joann Jasiak & Michelle Tong, 2021. "Convolution‐based filtering and forecasting: An application to WTI crude oil prices," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1230-1244, November.

  8. Christian Gouriéroux & Joann Jasiak & Alain Monfort, 2016. "Stationary Bubble Equilibria in Rational Expectation Models," Working Papers 2016-31, Center for Research in Economics and Statistics.

    Cited by:

    1. Marina Friedrich & Sébastien Fries & Michael Pahle & Ottmar Edenhofer, 2020. "Rules vs. Discretion in Cap-and-Trade Programs: Evidence from the EU Emission Trading System," CESifo Working Paper Series 8637, CESifo.
    2. Alain Hecq & Sean Telg & Lenard Lieb, 2017. "Do Seasonal Adjustments Induce Noncausal Dynamics in Inflation Rates?," Econometrics, MDPI, vol. 5(4), pages 1-22, October.
    3. Hecq, Alain & Voisin, Elisa, 2021. "Forecasting bubbles with mixed causal-noncausal autoregressive models," Econometrics and Statistics, Elsevier, vol. 20(C), pages 29-45.
    4. Dave, Chetan & Sorge, Marco, 2023. "Fat Tailed DSGE Models: A Survey and New Results," Working Papers 2023-3, University of Alberta, Department of Economics.
    5. Fries, Sébastien, 2018. "Conditional moments of noncausal alpha-stable processes and the prediction of bubble crash odds," MPRA Paper 97353, University Library of Munich, Germany, revised Nov 2019.
    6. Fries, Sébastien & Zakoian, Jean-Michel, 2017. "Mixed Causal-Noncausal AR Processes and the Modelling of Explosive Bubbles," MPRA Paper 81345, University Library of Munich, Germany.
    7. Christian Gouriéroux & Yang Lu, 2023. "Noncausal affine processes with applications to derivative pricing," Mathematical Finance, Wiley Blackwell, vol. 33(3), pages 766-796, July.

  9. Christian Gouriéroux & Alain Monfort & Jean-Paul Renne, 2016. "Statistical Inference for Independent Component Analysis: Application to Structural VAR Models," Working Papers 2016-20, Center for Research in Economics and Statistics.

    Cited by:

    1. Stephan B. Bruns & Alessio Moneta & David I. Stern, 2019. "Estimating the Economy-Wide Rebound Effect Using Empirically Identified Structural Vector Autoregressions," LEM Papers Series 2019/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Moneta, Alessio & Pallante, Gianluca, 2022. "Identification of Structural VAR Models via Independent Component Analysis: A Performance Evaluation Study," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    3. Jordi Brandts & Sabrine El Baroudi & Stefanie Huber & Christina Rott, 2022. "Gender Differences in Private and Public Goal Setting," Tinbergen Institute Discussion Papers 22-008/II, Tinbergen Institute.
    4. Mattia Guerini & Alessio Moneta & Mauro Napoletano & Andrea Roventini, 2017. "The Janus-faced nature of debt : results form a data driven cointegrated SVAR approach," Sciences Po publications 2017-02, Sciences Po.
    5. Shakeeb Khan & Arnaud Maurel & Yichong Zhang, 2021. "Informational Content of Factor Structures in Simultaneous Binary Response Models," NBER Working Papers 28327, National Bureau of Economic Research, Inc.
    6. Giulio Ecchia & Francesca Gagliardi & Caterina Giannetti, 2020. "Social Investment And Youth Labor Market Participation," Contemporary Economic Policy, Western Economic Association International, vol. 38(2), pages 343-358, April.
    7. Alain Guay, 2020. "Identification of Structural Vector Autoregressions Through Higher Unconditional Moments," Working Papers 20-19, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    8. Herwartz, Helmut & Lange, Alexander & Maxand, Simone, 2019. "Statistical identification in SVARs - Monte Carlo experiments and a comparative assessment of the role of economic uncertainties for the US business cycle," University of Göttingen Working Papers in Economics 375, University of Goettingen, Department of Economics.
    9. Guay, Alain, 2021. "Identification of structural vector autoregressions through higher unconditional moments," Journal of Econometrics, Elsevier, vol. 225(1), pages 27-46.
    10. Ishaya Tambari & Pierre Failler, 2020. "Determining If Oil Prices Significantly Affect Renewable Energy Investment in African Countries with Energy Security Concerns," Energies, MDPI, vol. 13(24), pages 1-21, December.
    11. Dominik Bertsche & Robin Braun, 2018. "Identification of Structural Vector Autoregressions by Stochastic Volatility," Working Paper Series of the Department of Economics, University of Konstanz 2018-03, Department of Economics, University of Konstanz.
    12. Mattia Guerini & Alessio Moneta & Mauro Napoletano & Andrea Roventini, 2018. "The Janus face nature of debt : results from a data-driven cointegrated SVAR approach," Sciences Po publications info:hdl:2441/574jpbbn0f8, Sciences Po.
    13. Ciarli, Tommaso & Coad, Alex & Moneta, Alessio, 2023. "Does exporting cause productivity growth? Evidence from Chilean firms," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 228-239.
    14. HAFNER Christian, & HERWARTZ Helmut, & MAXAND Simone,, 2018. "Identification of structural multivariate GARCH models," LIDAM Discussion Papers CORE 2018020, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    15. Philippe Andrade & Filippo Ferroni & Leonardo Melosi, 2023. "Identification Using Higher-Order Moments Restrictions," Working Paper Series WP 2023-28, Federal Reserve Bank of Chicago.
    16. Bernoth, Kerstin & Herwartz, Helmut, 2021. "Exchange rates, foreign currency exposure and sovereign risk," Journal of International Money and Finance, Elsevier, vol. 117(C).
    17. Herwartz, Helmut & Maxand, Simone & Rohloff, Hannes, 2018. "Lean against the wind or float with the storm? Revisiting the monetary policy asset price nexus by means of a novel statistical identification approach," University of Göttingen Working Papers in Economics 354, University of Goettingen, Department of Economics.
    18. Berner, Anne & Bruns, Stephan B. & Moneta, Alessio & Stern, David I., 2021. "Do energy efficiency improvements reduce energy use? Empirical evidence on the economy-wide rebound effect in Europe and the United States," University of Göttingen Working Papers in Economics 422, University of Goettingen, Department of Economics.
    19. Christian Gouriéroux & Alain Monfort & Jean-Michel Zakoian, 2018. "Consistent Pseudo-Maximum Likelihood Estimators and Groups of Transformations," Working Papers 2018-08, Center for Research in Economics and Statistics.
    20. Gabriele Fiorentini & Enrique Sentana, 2020. "Discrete Mixtures of Normals Pseudo Maximum Likelihood Estimators of Structural Vector Autoregressions," Working Papers wp2020_2023, CEMFI.
    21. Karamysheva, Madina & Skrobotov, Anton, 2022. "Do we reject restrictions identifying fiscal shocks? identification based on non-Gaussian innovations," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
    22. Herwartz, Helmut & Rohloff, Hannes & Wang, Shu, 2020. "Proxy SVAR identification of monetary policy shocks: MonteCarlo evidence and insights for the US," University of Göttingen Working Papers in Economics 404, University of Goettingen, Department of Economics.
    23. Marc Hallin & Simos Meintanis & Klaus Nordhausen, 2024. "Consistent Distribution–Free Affine–Invariant Tests for the Validity of Independent Component Models," Working Papers ECARES 2024-04, ULB -- Universite Libre de Bruxelles.
    24. Drautzburg, Thorsten & Wright, Jonathan H, 2021. "Refining Set-Identification in VARs through Independence," Economics Working Paper Archive 64575, The Johns Hopkins University,Department of Economics.
    25. Christian Gourieroux & Joann Jasiak, 2022. "Long Run Risk in Stationary Structural Vector Autoregressive Models," Papers 2202.09473, arXiv.org.
    26. Lukas Hoesch & Adam Lee & Geert Mesters, 2022. "Robust inference for non-Gaussian SVAR models," Economics Working Papers 1847, Department of Economics and Business, Universitat Pompeu Fabra.
    27. Davis, Richard & Ng, Serena, 2023. "Time series estimation of the dynamic effects of disaster-type shocks," Journal of Econometrics, Elsevier, vol. 235(1), pages 180-201.
    28. Andrea Giovanni Gazzani & Alejandro Vicondoa, 2019. "Proxy-SVAR as a Bridge for Identification with Higher Frequency Data," 2019 Meeting Papers 855, Society for Economic Dynamics.
    29. Jan R. Magnus & Henk G. J. Pijls & Enrique Sentana, 2020. "The Jacobian of the Exponential Function," Working Papers wp2020_2005, CEMFI.
    30. Zema, Sebastiano Michele, 2022. "Directed acyclic graph based information shares for price discovery," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    31. Braun, Robin, 2021. "The importance of supply and demand for oil prices: evidence from non-Gaussianity," Bank of England working papers 957, Bank of England.
    32. Giulio Ecchia & Francesca Gagliardi & Caterina Giannetti, 2018. "Social Investment and youth labour market participation: a EU regional analysis," Discussion Papers 2018/236, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    33. Christian Gouriéroux & Alain Monfort & Eric Renault, 2017. "Consistent Pseudo-Maximum Likelihood Estimators," Working Papers 2017-10, Center for Research in Economics and Statistics.
    34. Helmut Herwartz & Simone Maxand & Hannes Rohloff, 2022. "The Link between Monetary Policy, Stock Prices, and House Prices—Evidence from a Statistical Identification Approach," International Journal of Central Banking, International Journal of Central Banking, vol. 18(5), pages 1-53, December.
    35. Herwartz, Helmut & Wang, Shu, 2023. "Point estimation in sign-restricted SVARs based on independence criteria with an application to rational bubbles," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    36. Hafner, Christian M. & Herwartz, Helmut, 2022. "Dynamic score driven independent component analysis," LIDAM Reprints ISBA 2022010, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    37. Sascha A. Keweloh, 2023. "Uncertain Short-Run Restrictions and Statistically Identified Structural Vector Autoregressions," Papers 2303.13281, arXiv.org, revised Apr 2024.
    38. Mélard, Guy, 2022. "An indirect proof for the asymptotic properties of VARMA model estimators," Econometrics and Statistics, Elsevier, vol. 21(C), pages 96-111.
    39. Keweloh, Sascha A. & Hetzenecker, Stephan & Seepe, Andre, 2023. "Monetary policy and information shocks in a block-recursive SVAR," Journal of International Money and Finance, Elsevier, vol. 137(C).
    40. Mario Martinoli & Alessio Moneta & Gianluca Pallante, 2022. "Calibration and Validation of Macroeconomic Simulation Models by Statistical Causal Search," LEM Papers Series 2022/33, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    41. Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2022. "Specification tests for non-Gaussian structural vector autoregressions," Working Papers wp2022_2212, CEMFI.
    42. Giacomo Bormetti & Fulvio Corsi, 2021. "A Lucas Critique Compliant SVAR model with Observation-driven Time-varying Parameters," Papers 2107.05263, arXiv.org, revised Feb 2022.
    43. Sebastiano Michele Zema, 2023. "A non-Normal framework for price discovery: The independent component based information shares measure," LEM Papers Series 2023/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    44. Andrea Gazzani & Fabrizio Venditti & Giovanni Veronese, 2024. "Oil price shocks in real time," Temi di discussione (Economic working papers) 1448, Bank of Italy, Economic Research and International Relations Area.
    45. Bernd Funovits, 2020. "Identifiability and Estimation of Possibly Non-Invertible SVARMA Models: A New Parametrisation," Papers 2002.04346, arXiv.org, revised Feb 2021.
    46. Petrova, Katerina, 2022. "Asymptotically valid Bayesian inference in the presence of distributional misspecification in VAR models," Journal of Econometrics, Elsevier, vol. 230(1), pages 154-182.
    47. Richard Davis & Serena Ng, 2021. "Time Series Estimation of the Dynamic Effects of Disaster-Type Shock," Papers 2107.06663, arXiv.org, revised Mar 2022.
    48. Puonti, Päivi, 2019. "Data-driven structural BVAR analysis of unconventional monetary policy," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
    49. Guy Melard, 2020. "An Indirect Proof for the Asymptotic Properties of VARMA Model Estimators," Working Papers ECARES 2020-10, ULB -- Universite Libre de Bruxelles.
    50. Helmut Herwartz & Alexander Lange & Simone Maxand, 2022. "Data‐driven identification in SVARs—When and how can statistical characteristics be used to unravel causal relationships?," Economic Inquiry, Western Economic Association International, vol. 60(2), pages 668-693, April.
    51. Emanuele Bacchiocchi & Toru Kitagawa, 2020. "Locally- but not globally-identified SVARs," CeMMAP working papers CWP40/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    52. Bernd Funovits, 2019. "Identification and Estimation of SVARMA models with Independent and Non-Gaussian Inputs," Papers 1910.04087, arXiv.org.
    53. Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2022. "Moment tests of independent components," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 13(1), pages 429-474, May.
    54. Kerstin Bernoth & Helmut Herwartz & Lasse Trienens, 2023. "The Impacts of Global Risk and US Monetary Policy on US Dollar Exchange Rates and Excess Currency Returns," Discussion Papers of DIW Berlin 2037, DIW Berlin, German Institute for Economic Research.
    55. Tommaso Ciarli & Alex Coad & Alessio Moneta, 2019. "Exporting and productivity as part of the growth process: Causal evidence from a data-driven structural VAR," LEM Papers Series 2019/39, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    56. Adam Lee & Geert Mesters, 2021. "Robust non-Gaussian inference for linear simultaneous equations models," Economics Working Papers 1792, Department of Economics and Business, Universitat Pompeu Fabra.
    57. Shoukun Jiao & Wuyi Ye, 2022. "Dependence and Systemic Risk Analysis Between S&P 500 Index and Sector Indexes: A Conditional Value-at-Risk Approach," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 1203-1229, March.
    58. Brancaccio, Emiliano & Califano, Andrea & Lopreite, Milena & Moneta, Alessio, 2020. "Nonperforming loans and competing rules of monetary policy: A statistical identification approach," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 127-136.
    59. Herwartz, Helmut & Rohloff, Hannes & Wang, Shu, 2022. "Proxy SVAR identification of monetary policy shocks - Monte Carlo evidence and insights for the US," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    60. Lukas Hoesch & Adam Lee & Geert Mesters, 2022. "Locally Robust Inference for Non-Gaussian SVAR Models," Working Papers 1367, Barcelona School of Economics.
    61. Maxand, Simone, 2020. "Identification of independent structural shocks in the presence of multiple Gaussian components," Econometrics and Statistics, Elsevier, vol. 16(C), pages 55-68.
    62. Daniel J Lewis, 2021. "Identifying Shocks via Time-Varying Volatility [First Order Autoregressive Processes and Strong Mixing]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(6), pages 3086-3124.
    63. Helmut Herwartz, 2022. "Modelling interaction patterns in a predator-prey system of two freshwater organisms in discrete time: an identified structural VAR approach," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(1), pages 63-85, March.
    64. Sebastiano Michele Zema, 2020. "Directed Acyclic Graph based Information Shares for Price Discovery," LEM Papers Series 2020/28, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    65. Miguel Cabello, 2022. "Robust Estimation of the non-Gaussian Dimension in Structural Linear Models," Papers 2212.07263, arXiv.org, revised Sep 2023.
    66. Francesco Cordoni & Nicolas Doremus & Alessio Moneta, 2023. "Identification of Vector Autoregressive Models with Nonlinear Contemporaneous Structure," LEM Papers Series 2023/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

  10. Christian Gouriéroux & Joann Jasiak, 2015. "Semi-Parametric Estimation of Noncausal Vector Autoregression," Working Papers 2015-02, Center for Research in Economics and Statistics.

    Cited by:

    1. Gouriéroux, Christian & Monfort, Alain & Renne, Jean-Paul, 2017. "Statistical inference for independent component analysis: Application to structural VAR models," Journal of Econometrics, Elsevier, vol. 196(1), pages 111-126.
    2. Cubadda, Gianluca & Hecq, Alain & Telg, Sean, 2017. "Detecting Co-Movements in Noncausal Time Series," MPRA Paper 77254, University Library of Munich, Germany, revised 02 Mar 2017.
    3. Gouriéroux, Christian & Monfort, Alain & Zakoian, Jean-Michel, 2017. "Pseudo-Maximum Likelihood and Lie Groups of Linear Transformations," MPRA Paper 79623, University Library of Munich, Germany.
    4. Alain Hecq & Li Sun, 2019. "Identification of Noncausal Models by Quantile Autoregressions," Papers 1904.05952, arXiv.org.
    5. Hecq Alain & Sun Li, 2021. "Selecting between causal and noncausal models with quantile autoregressions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(5), pages 393-416, December.

  11. Christian Gouriéroux & Alain Monfort, 2014. "Revisiting Identification and estimation in Structural VARMA Models," Working Papers 2014-30, Center for Research in Economics and Statistics.

    Cited by:

    1. Lütkepohl, Helmut & Netšunajev, Aleksei, 2017. "Structural vector autoregressions with heteroskedasticity: A review of different volatility models," Econometrics and Statistics, Elsevier, vol. 1(C), pages 2-18.
    2. Gouriéroux, Christian & Monfort, Alain & Renne, Jean-Paul, 2017. "Statistical inference for independent component analysis: Application to structural VAR models," Journal of Econometrics, Elsevier, vol. 196(1), pages 111-126.
    3. Lanne, Markku & Meitz, Mika & Saikkonen, Pentti, 2017. "Identification and estimation of non-Gaussian structural vector autoregressions," Journal of Econometrics, Elsevier, vol. 196(2), pages 288-304.
    4. Herwartz, Helmut & Plödt, Martin, 2016. "The macroeconomic effects of oil price shocks: Evidence from a statistical identification approach," Journal of International Money and Finance, Elsevier, vol. 61(C), pages 30-44.
    5. Gourieroux, Christian & Jasiak, Joann, 2018. "Misspecification of noncausal order in autoregressive processes," Journal of Econometrics, Elsevier, vol. 205(1), pages 226-248.

  12. Christian Gouriéroux & Joann Jasiak, 2014. "Filtering and Prediction in Noncausal Processes," Working Papers 2014-15, Center for Research in Economics and Statistics.

    Cited by:

    1. Markku Lanne & Henri Nyberg, 2015. "Nonlinear dynamic interrelationships between real activity and stock returns," CREATES Research Papers 2015-36, Department of Economics and Business Economics, Aarhus University.

  13. Gouriéroux, Christian & Zakoian, Jean-Michel, 2014. "On uniqueness of moving average representations of heavy-tailed stationary processes," MPRA Paper 54907, University Library of Munich, Germany.

    Cited by:

    1. Frédérique Bec & Heino Bohn Nielsen & Sarra Saïdi, 2020. "Mixed Causal–Noncausal Autoregressions: Bimodality Issues in Estimation and Unit Root Testing," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1413-1428, December.
    2. Christian Gourieroux & Andrew Hencic & Joann Jasiak, 2021. "Forecast performance and bubble analysis in noncausal MAR(1, 1) processes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(2), pages 301-326, March.
    3. Fries, Sébastien & Zakoian, Jean-Michel, 2017. "Mixed Causal-Noncausal AR Processes and the Modelling of Explosive Bubbles," MPRA Paper 81345, University Library of Munich, Germany.
    4. Gourieroux, Christian & Jasiak, Joann, 2018. "Misspecification of noncausal order in autoregressive processes," Journal of Econometrics, Elsevier, vol. 205(1), pages 226-248.

  14. Christian Gouriéroux & Joann Jasiak, 2014. "Misspecification of Causal and Noncausal Orders in Autoregressive Processes," Working Papers 2014-25, Center for Research in Economics and Statistics.

    Cited by:

    1. Hecq, A.W. & Lieb, L.M. & Telg, J.M.A., 2015. "Identification of Mixed Causal-Noncausal Models : How Fat Should We Go?," Research Memorandum 035, Maastricht University, Graduate School of Business and Economics (GSBE).

  15. Christian Gouriéroux & Alain Monfort & Fulvio Pegoraro & Jean-Paul Renne, 2013. "Regime Switching and Bond Pricing," Working Papers 2013-48, Center for Research in Economics and Statistics.

    Cited by:

    1. Alain Monfort & Fulvio Pegoraro & Jean-Paul Renne & Guillaume Roussellet, 2017. "Staying at zero with affine processes : an application to term structure modelling," Rue de la Banque, Banque de France, issue 52, november.
    2. Haixiang Yao & Xun Li & Zhifeng Hao & Yong Li, 2016. "Dynamic asset–liability management in a Markov market with stochastic cash flows," Quantitative Finance, Taylor & Francis Journals, vol. 16(10), pages 1575-1597, October.
    3. Malik, Sheheryar & Meldrum, Andrew, 2014. "Evaluating the robustness of UK term structure decompositions using linear regression methods," Bank of England working papers 518, Bank of England.
    4. Augustyniak, Maciej & Badescu, Alexandru & Bégin, Jean-François, 2023. "A discrete-time hedging framework with multiple factors and fat tails: On what matters," Journal of Econometrics, Elsevier, vol. 232(2), pages 416-444.
    5. Chiara Sabelli & Michele Pioppi & Luca Sitzia & Giacomo Bormetti, 2014. "Multi-curve HJM modelling for risk management," Papers 1411.3977, arXiv.org, revised Oct 2015.

  16. Christian Gouriéroux & Alain Monfort & Jean-Paul Renne, 2013. "Pricing Default Events : Surprise, Exogeneity and Contagion," Working Papers 2013-03, Center for Research in Economics and Statistics.

    Cited by:

    1. Christian Gouriéroux & Yang Lu, 2013. "Love and Death : A Freund Model with Frailty," Working Papers 2013-09, Center for Research in Economics and Statistics.
    2. Alain MONFORT & Jean-Paul RENNE & Guillaume ROUSSELLET, 2020. "Affine Modeling of Credit Risk, Pricing of Credit Events and Contagion," Working Papers 2020-01, Center for Research in Economics and Statistics.
    3. Azizpour, S & Giesecke, K. & Schwenkler, G., 2018. "Exploring the sources of default clustering," Journal of Financial Economics, Elsevier, vol. 129(1), pages 154-183.
    4. Gouriéroux Christian & Monfort Alain & Mouabbi Sarah & Renne Jean-Paul, 2020. "Disastrous Defaults," Working papers 778, Banque de France.
    5. Francine Gresnigt & Erik Kole & Philip Hans Franses, 2017. "Specification Testing in Hawkes Models," Journal of Financial Econometrics, Oxford University Press, vol. 15(1), pages 139-171.
    6. Patrick Augustin & Mikhail Chernov & Dongho Song, 2018. "Sovereign Credit Risk and Exchange Rates: Evidence from CDS Quanto Spreads," NBER Working Papers 24506, National Bureau of Economic Research, Inc.
    7. Francine Gresnigt & Erik Kole & Philip Hans Franses, 2017. "Exploiting Spillovers to Forecast Crashes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(8), pages 936-955, December.
    8. Dumitru, Ana-Maria & Holden, Thomas, 2019. "Quantifying the transmission of European sovereign default risk," EconStor Preprints 193632, ZBW - Leibniz Information Centre for Economics.

  17. Serge Darolles & Christian Gouriéroux, 2013. "The Effects of Management and Provision Accounts on Hedge Fund Returns - Part II : The Loss Carry Forward Scheme," Working Papers 2013-23, Center for Research in Economics and Statistics.

    Cited by:

    1. Serge Darolles & Christian Gouriéroux, 2013. "The Effects of Management and Provision Accounts on Hedge Fund Returns - Part I : The High Water Mark Scheme," Working Papers 2013-22, Center for Research in Economics and Statistics.

  18. Serge Darolles & Christian Gouriéroux, 2013. "The Effects of Management and Provision Accounts on Hedge Fund Returns - Part I : The High Water Mark Scheme," Working Papers 2013-22, Center for Research in Economics and Statistics.

    Cited by:

    1. Serge Darolles & Christian Gouriéroux, 2013. "The Effects of Management and Provision Accounts on Hedge Fund Returns - Part II : The Loss Carry Forward Scheme," Working Papers 2013-23, Center for Research in Economics and Statistics.
    2. Serge Darolles & Patrick Gagliardini & Christian Gouriéroux, 2012. "Survival of Hedge Funds : Frailty vs Contagion," Working Papers 2012-36, Center for Research in Economics and Statistics.

  19. Christian Gouriéroux & Jean-Cyprien Heam & Alain Monfort, 2013. "Liquidation Equilibrium with Seniority and Hidden CDO," Working Papers 2013-06, Center for Research in Economics and Statistics.

    Cited by:

    1. Nicolas Houy & Frédéric Jouneau & François Le Grand, 2020. "Defaulting firms and systemic risks in financial networks: a normative approach," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 70(2), pages 503-526, September.
    2. Roukny, Tarik & Battiston, Stefano & Stiglitz, Joseph E., 2018. "Interconnectedness as a source of uncertainty in systemic risk," Journal of Financial Stability, Elsevier, vol. 35(C), pages 93-106.
    3. Tathagata Banerjee & Zachary Feinstein, 2018. "Pricing of debt and equity in a financial network with comonotonic endowments," Papers 1810.01372, arXiv.org, revised Sep 2021.
    4. Paul Glasserman & H. Peyton Young, 2015. "Contagion in Financial Markets," Working Papers 15-21, Office of Financial Research, US Department of the Treasury.
    5. Hitoshi Hayakawa, 2020. "Liquidity in Financial Networks," Computational Economics, Springer;Society for Computational Economics, vol. 55(1), pages 253-301, January.
    6. Paul Glasserman & H. Peyton Young, 2016. "Contagion in Financial Networks," Journal of Economic Literature, American Economic Association, vol. 54(3), pages 779-831, September.
    7. Jose Fique, 2017. "Retrieving Implied Financial Networks from Bank Balance-Sheet and Market Data," Staff Working Papers 17-30, Bank of Canada.
    8. Fourel, V. & Héam, J-C. & Salakhova, D. & Tavolaro, S., 2013. "Domino Effects when Banks Hoard Liquidity: The French network," Working papers 432, Banque de France.
    9. Ivan Alves & Stijn Ferrari & Pietro Franchini & Jean-Cyprien Heam & Pavol Jurca & Sam Langfield & Sebastiano Laviola & Franka Liedorp & Antonio Sánchez & Santiago Tavolaro & Guillaume Vuillemey, 2013. "The structure and resilience of the European interbank market," ESRB Occasional Paper Series 03, European Systemic Risk Board.
    10. O. de Bandt & J.-C. Héam & C. Labonne & S. Tavolaro, 2013. "Measuring Systemic Risk in a Post-Crisis World," Débats économiques et financiers 6, Banque de France.
    11. Paul Glasserman & Peyton Young, 2015. "Contagion in Financial Networks," Economics Series Working Papers 764, University of Oxford, Department of Economics.
    12. Jean-Cyprien H'eam & Erwan Koch, 2014. "Diversification and Endogenous Financial Networks," Papers 1408.4618, arXiv.org, revised Feb 2015.
    13. Johannes Hain & Tom Fischer, 2015. "Valuation Algorithms for Structural Models of Financial Interconnectedness," Papers 1501.07402, arXiv.org.

  20. Christian Gouriéroux & Jean-Michel Zakoian, 2013. "Explosive Bubble Modelling by Noncausal Process," Working Papers 2013-04, Center for Research in Economics and Statistics.

    Cited by:

    1. Saikkonen, Pentti & Sandberg, Rickard, 2013. "Testing for a unit root in noncausal autoregressive models," Bank of Finland Research Discussion Papers 26/2013, Bank of Finland.
    2. Christian Gourieroux & Joann Jasiak, 2016. "Filtering, Prediction and Simulation Methods for Noncausal Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(3), pages 405-430, May.
    3. Francesco Giancaterini & Alain Hecq & Claudio Morana, 2022. "Is climate change time reversible?," Working Paper series 22-08, Rimini Centre for Economic Analysis, revised Dec 2022.
    4. Maynard, Alex & Ren, Dongmeng, 2019. "The finite sample power of long-horizon predictive tests in models with financial bubbles," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 418-430.
    5. Nelimarkka, Jaakko, 2017. "Evidence on News Shocks under Information Deficiency," MPRA Paper 80850, University Library of Munich, Germany.
    6. Andras Fulop & Jun Yu, 2014. "Bayesian Analysis of Bubbles in Asset Prices," Working Papers 04-2014, Singapore Management University, School of Economics.
    7. Cerruti, Gianluca & Lombardini, Simone, 2022. "Financial bubbles as a recursive process lead by short-term strategies," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 555-568.
    8. Alain Hecq & Daniel Velasquez-Gaviria, 2023. "Spectral identification and estimation of mixed causal-noncausal invertible-noninvertible models," Papers 2310.19543, arXiv.org.
    9. Gouriéroux, Christian & Zakoian, Jean-Michel, 2014. "On uniqueness of moving average representations of heavy-tailed stationary processes," MPRA Paper 54907, University Library of Munich, Germany.

  21. Christian Gouriéroux & Yang Lu, 2013. "Love and Death : A Freund Model with Frailty," Working Papers 2013-09, Center for Research in Economics and Statistics.

    Cited by:

    1. Kira Henshaw & Corina Constantinescu & Olivier Menoukeu Pamen, 2020. "Stochastic Mortality Modelling for Dependent Coupled Lives," Risks, MDPI, vol. 8(1), pages 1-28, February.
    2. Gerard J. van den Berg & Bettina Drepper, 2022. "A unique bond: Twin bereavement and lifespan associations of identical and fraternal twins," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(2), pages 677-698, April.
    3. David Blake & Nicole El Karoui & Stéphane Loisel & Richard Macminn, 2018. "Longevity risk and capital markets: The 2015–16 update," Post-Print hal-01995778, HAL.
    4. Ying Jiao & Yahia Salhi & Shihua Wang, 2021. "Dynamic Bivariate Mortality Modelling," Working Papers hal-03244324, HAL.
    5. Ying Jiao & Yahia Salhi & Shihua Wang, 2022. "Dynamic Bivariate Mortality Modelling," Methodology and Computing in Applied Probability, Springer, vol. 24(2), pages 917-938, June.
    6. Blake, David & Cairns, Andrew J.G., 2021. "Longevity risk and capital markets: The 2019-20 update," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 395-439.
    7. Ayuso, Mercedes & Bravo, Jorge M. & Holzmann, Robert, 2021. "Getting life expectancy estimates right for pension policy: period versus cohort approach," Journal of Pension Economics and Finance, Cambridge University Press, vol. 20(2), pages 212-231, April.
    8. Christian Gourieroux & Yang Lu, 2013. "Long Term Care and Longevity," Working Papers 2013-16, Center for Research in Economics and Statistics.
    9. Joanna Dębicka & Stanisław Heilpern & Agnieszka Marciniuk, 2023. "Pricing Marriage Insurance with Mortality Dependence," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 15(1), pages 31-64, March.
    10. van den Berg, Gerard J. & Drepper, Bettina, 2018. "A Unique Bond: Twin Bereavement and Lifespan Associations of Identical and Fraternal Twins," IZA Discussion Papers 11448, Institute of Labor Economics (IZA).

  22. Serge Darolles & Christian Gouriéroux & Emmanuelle Jay, 2012. "Robust Portfolio Allocation with Systematic Risk Contribution Restrictions," Working Papers 2012-35, Center for Research in Economics and Statistics.

    Cited by:

    1. Eric Benhamou & Beatrice Guez, 2018. "Incremental Sharpe and other performance ratios," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 7(4), pages 1-2.
    2. Simon Trimborn & Mingyang Li & Wolfgang Karl Härdle, 2020. "Investing with Cryptocurrencies—a Liquidity Constrained Investment Approach," Journal of Financial Econometrics, Oxford University Press, vol. 18(2), pages 280-306.
    3. Eric Benhamou & Beatrice Guez, 2021. "Computation of the marginal contribution of Sharpe ratio and other performance ratios," Working Papers hal-03189299, HAL.
    4. Marius ACATRINEI, 2015. "Individual contributions to portfolio risk: risk decomposition for the BET-FI index," Computational Methods in Social Sciences (CMSS), "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 3(1), pages 75-80, June.
    5. Emmanuelle Jay & Thibault Soler & Eugénie Terreaux & Jean-Philippe Ovarlez & Frédéric Pascal & Philippe De Peretti & Christophe Chorro, 2019. "Improving portfolios global performance using a cleaned and robust covariance matrix estimate," Documents de travail du Centre d'Economie de la Sorbonne 19022, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.

  23. Christian Gouriéroux & Jean-Michel Zakoian, 2012. "Estimation Adjusted VaR," Working Papers 2012-16, Center for Research in Economics and Statistics.

    Cited by:

    1. Farkas, Walter & Fringuellotti, Fulvia & Tunaru, Radu, 2020. "A cost-benefit analysis of capital requirements adjusted for model risk," Journal of Corporate Finance, Elsevier, vol. 65(C).
    2. Christophe Hurlin & Sébastien Laurent & Rogier Quaedvlieg & Stephan Smeekes, 2017. "Risk Measure Inference," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(4), pages 499-512, October.
    3. Ophélie Couperier & Jérémy Leymarie, 2020. "Backtesting Expected Shortfall via Multi-Quantile Regression," Working Papers halshs-01909375, HAL.
    4. Wang, Zheqi & Crook, Jonathan & Andreeva, Galina, 2020. "Reducing estimation risk using a Bayesian posterior distribution approach: Application to stress testing mortgage loan default," European Journal of Operational Research, Elsevier, vol. 287(2), pages 725-738.
    5. Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
    6. Gourieroux, Christian & Tiomo, Andre, 2019. "The Evaluation of Model Risk for Probability of Default and Expected Loss," MPRA Paper 95795, University Library of Munich, Germany.

  24. Dubecq, S. & Gourieroux, C., 2012. "Shock on Variable or Shock on Distribution with Application to Stress-Tests," Working papers 368, Banque de France.

    Cited by:

    1. Gourieroux, C. & Heam, J.C. & Monfort, A., 2012. "Bilateral Exposures and Systemic Solvency Risk," Working papers 414, Banque de France.
    2. Darne, O. & Levy-Rueff, O. & Pop, A., 2013. "Calibrating Initial Shocks in Bank Stress Test Scenarios: An Outlier Detection Based Approach," Working papers 426, Banque de France.

  25. Gourieroux, C. & Heam, J.C. & Monfort, A., 2012. "Bilateral Exposures and Systemic Solvency Risk," Working papers 414, Banque de France.

    Cited by:

    1. Tathagata Banerjee & Alex Bernstein & Zachary Feinstein, 2018. "Dynamic Clearing and Contagion in Financial Networks," Papers 1801.02091, arXiv.org, revised Nov 2022.
    2. International Monetary Fund, 2013. "France: Financial Sector Assessment Program—Technical Note on Stress Testing the Banking Sector," IMF Staff Country Reports 2013/185, International Monetary Fund.
    3. Gabrielle Demange, 2018. "Contagion in Financial Networks: A Threat Index," Management Science, INFORMS, vol. 64(2), pages 955-970, February.
    4. Irena Barjav{s}i'c & Stefano Battiston & Vinko Zlati'c, 2023. "Credit Valuation Adjustment in Financial Networks," Papers 2305.16434, arXiv.org.
    5. Gagliardini, Patrick & Gouriéroux, Christian, 2017. "Double instrumental variable estimation of interaction models with big data," Journal of Econometrics, Elsevier, vol. 201(2), pages 176-197.
    6. Carlos León & Javier Miguélez, 2021. "Securities cross-holding in the Colombian financial system: a topological approach," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 38(4), pages 786-806, February.
    7. Tathagata Banerjee & Zachary Feinstein, 2018. "Pricing of debt and equity in a financial network with comonotonic endowments," Papers 1810.01372, arXiv.org, revised Sep 2021.
    8. Susanne M. Schennach, 2013. "Long memory via networking," CeMMAP working papers CWP13/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Olivier de Bandt & Jean-Cyprien Héam & Claire Labonne & Santiago Tavolaro, 2015. "La mesure du risque systémique après la crise financière," Revue économique, Presses de Sciences-Po, vol. 66(3), pages 481-500.
    10. Christian Gouriéroux & Jean-Cyprien Heam & Alain Monfort, 2013. "Liquidation Equilibrium with Seniority and Hidden CDO," Working Papers 2013-06, Center for Research in Economics and Statistics.
    11. Hamed Amini & Zachary Feinstein, 2020. "Optimal Network Compression," Papers 2008.08733, arXiv.org, revised Jul 2022.
    12. Bakoush, Mohamed & Gerding, Enrico & Mishra, Tapas & Wolfe, Simon, 2022. "An integrated macroprudential stress test of bank liquidity and solvency," Journal of Financial Stability, Elsevier, vol. 60(C).
    13. Yann Braouezec & Lakshithe Wagalath, 2016. "Risk-based capital requirements and optimal liquidation in a stress scenario," Working Papers 2016-ACF-01, IESEG School of Management.
    14. Jiajia, Liu & Kun, Guo & Fangcheng, Tang & Yahan, Wang & Shouyang, Wang, 2023. "The effect of the disposal of non-performing loans on interbank liquidity risk in China: A cash flow network-based analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 105-119.
    15. Ivan Alves & Jeroen Brinkhoff & Stanislav Georgiev & Jean-Cyprien Héam & Iulia Moldovan & Marco Scotto di Carlo, 2015. "Network analysis of the EU insurance sector," ESRB Occasional Paper Series 07, European Systemic Risk Board.
    16. Maxim Bichuch & Nils Detering, 2022. "Optimal Support for Distressed Subsidiaries -- a Systemic Risk Perspective," Papers 2201.12731, arXiv.org, revised Mar 2024.
    17. T. R. Hurd, 2018. "Bank Panics And Fire Sales, Insolvency And Illiquidity," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 21(06), pages 1-30, September.
    18. Lei Li & Kun Qin & Desheng Wu, 2023. "A Hybrid Approach for the Assessment of Risk Spillover to ESG Investment in Financial Networks," Sustainability, MDPI, vol. 15(7), pages 1-16, April.
    19. Damiano Sandri, 2018. "Dealing with Systemic Sovereign Debt Crises: Fiscal Consolidation, Bail-Ins, or Bail-Outs?," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 66(4), pages 665-693, December.
    20. Michele Leonardo Bianchi & Alberto Maria Sorrentino, 2020. "Measuring CoVaR: An Empirical Comparison," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 511-528, February.
    21. Michele Bonollo & Irene Crimaldi & Andrea Flori & Fabio Pammolli & Massimo Riccaboni, 2014. "Systemic importance of financial institutions: from a global to a local perspective? A network theory approach," Working Papers 9/2014, IMT School for Advanced Studies Lucca, revised Sep 2014.
    22. Chen, Yu & Jin, Shuyue & Wang, Xiasi, 2021. "Solvency contagion risk in the Chinese commercial banks’ network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
    23. Amini, Hamed & Feinstein, Zachary, 2023. "Optimal network compression," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1439-1455.
    24. Weidong Lin & Jose Olmo & Abderrahim Taamouti, 2022. "Portfolio Selection Under Systemic Risk," Working Papers 202208, University of Liverpool, Department of Economics.
    25. Hauton, G. & Héam, J.-C., 2015. "How to measure interconnectedness between banks, insurers and financial conglomerates?," Rue de la Banque, Banque de France, issue 04, March..
    26. Gaël Hauton & Jean-Cyprien Héam, 2015. "Interconnectedness of Financial Conglomerates," Risks, MDPI, vol. 3(2), pages 1-25, May.
    27. Barauskaite, Kristina & Nguyen, Anh D.M., 2021. "Global intersectoral production network and aggregate fluctuations," Economic Modelling, Elsevier, vol. 102(C).
    28. Sylvain Benoît & Gilbert Colletaz & Christophe Hurlin & Christophe Pérignon, 2013. "A Theoretical and Empirical Comparison of Systemic Risk Measures," Working Papers halshs-00746272, HAL.
    29. Yann Braouezec & Lakshithe Wagalath, 2018. "Risk-Based Capital Requirements and Optimal Liquidation in a Stress Scenario [Testing macroprudential stress tests: the risk of regulatory risk weights]," Review of Finance, European Finance Association, vol. 22(2), pages 747-782.
    30. Jean-Cyprien Héam, 2014. "How to Measure Interconnectedness," EIOPA Financial Stability Report - Thematic Articles 3, EIOPA, Risks and Financial Stability Department.
    31. G. Hauton & J.-C. Héam, 2014. "How to Measure Interconnectedness between Banks, Insurers and Financial Conglomerates?," Débats économiques et financiers 15, Banque de France.
    32. Fourel, V. & Héam, J-C. & Salakhova, D. & Tavolaro, S., 2013. "Domino Effects when Banks Hoard Liquidity: The French network," Working papers 432, Banque de France.
    33. Michele Bonollo & Irene Crimaldi & Andrea Flori & Fabio Pammolli & Massimo Riccaboni, 2014. "Systemic importance of financial institutions: regulations, research, open issues, proposals," Working Papers 2/2014, IMT School for Advanced Studies Lucca, revised Mar 2014.
    34. Ivan Alves & Stijn Ferrari & Pietro Franchini & Jean-Cyprien Heam & Pavol Jurca & Sam Langfield & Sebastiano Laviola & Franka Liedorp & Antonio Sánchez & Santiago Tavolaro & Guillaume Vuillemey, 2013. "The structure and resilience of the European interbank market," ESRB Occasional Paper Series 03, European Systemic Risk Board.
    35. Banulescu, Georgiana-Denisa & Dumitrescu, Elena-Ivona, 2015. "Which are the SIFIs? A Component Expected Shortfall approach to systemic risk," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 575-588.
    36. Zachary Feinstein & T. R. Hurd, 2020. "Contingent Convertible Obligations and Financial Stability," Papers 2006.01037, arXiv.org, revised Oct 2022.
    37. O. de Bandt & J.-C. Héam & C. Labonne & S. Tavolaro, 2013. "Measuring Systemic Risk in a Post-Crisis World," Débats économiques et financiers 6, Banque de France.
    38. Cincinelli, Peter & Pellini, Elisabetta & Urga, Giovanni, 2021. "Leverage and systemic risk pro-cyclicality in the Chinese financial system," International Review of Financial Analysis, Elsevier, vol. 78(C).
    39. Jean-Cyprien H'eam & Erwan Koch, 2014. "Diversification and Endogenous Financial Networks," Papers 1408.4618, arXiv.org, revised Feb 2015.
    40. Cincinelli, Peter & Pellini, Elisabetta & Urga, Giovanni, 2022. "Systemic risk in the Chinese financial system: A panel Granger causality analysis," International Review of Financial Analysis, Elsevier, vol. 82(C).
    41. T. Bennani & C. Couaillier & A. Devulder & S. Gabrieli & J. Idier & P. Lopez & T. Piquard & V. Scalone, 2017. "An analytical framework to calibrate macroprudential policy," Working papers 648, Banque de France.
    42. Constantin ANGHELACHE & Andreea – Ioana MARINESCU & Maria MIREA, 2017. "Models of Insolvency Risk Analysis in Financial and Banking Institutions," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 65(11), pages 72-78, November.
    43. Matthew Elliott & Benjamin Golub & Matthew O. Jackson, 2014. "Financial Networks and Contagion," American Economic Review, American Economic Association, vol. 104(10), pages 3115-3153, October.
    44. T. R. Hurd, 2017. "Bank Panics and Fire Sales, Insolvency and Illiquidity," Papers 1711.05289, arXiv.org.
    45. Ahn, Dohyun & Kim, Kyoung-Kuk & Kwon, Eunji, 2023. "Multivariate stress scenario selection in interbank networks," Journal of Economic Dynamics and Control, Elsevier, vol. 154(C).
    46. J. Idier & T. Piquard, 2017. "Pandemic crises in financial systems: a simulation-model to complement stress-testing frameworks," Working papers 621, Banque de France.
    47. Feinstein, Zachary & Hałaj, Grzegorz, 2023. "Interbank asset-liability networks with fire sale management," Working Paper Series 2806, European Central Bank.

  26. Patrick Gagliardini & Christian Gouriéroux, 2012. "Correlated Risks vs Contagion in Stochastic Transition Models," Working Papers 2012-07, Center for Research in Economics and Statistics.

    Cited by:

    1. Gouriéroux, C. & Monfort, A. & Renne, J.P., 2014. "Pricing default events: Surprise, exogeneity and contagion," Journal of Econometrics, Elsevier, vol. 182(2), pages 397-411.
    2. Gourieroux, C. & Heam, J.C. & Monfort, A., 2012. "Bilateral Exposures and Systemic Solvency Risk," Working papers 414, Banque de France.
    3. Das, Bikramjit & Fasen-Hartmann, Vicky, 2018. "Risk contagion under regular variation and asymptotic tail independence," Journal of Multivariate Analysis, Elsevier, vol. 165(C), pages 194-215.
    4. Serge Darolles & Patrick Gagliardini & Christian Gouriéroux, 2012. "Survival of Hedge Funds : Frailty vs Contagion," Working Papers 2012-36, Center for Research in Economics and Statistics.
    5. Choe, Geon Ho & Choi, So Eun & Jang, Hyun Jin, 2020. "Assessment of time-varying systemic risk in credit default swap indices: Simultaneity and contagiousness," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).

  27. Serge Darolles & Patrick Gagliardini & Christian Gouriéroux, 2012. "Survival of Hedge Funds : Frailty vs Contagion," Working Papers 2012-36, Center for Research in Economics and Statistics.

    Cited by:

    1. Patrick Gagliardini & Christian Gouriéroux, 2012. "Correlated Risks vs Contagion in Stochastic Transition Models," Working Papers 2012-07, Center for Research in Economics and Statistics.
    2. Gouriéroux, C. & Monfort, A. & Renne, J.P., 2014. "Pricing default events: Surprise, exogeneity and contagion," Journal of Econometrics, Elsevier, vol. 182(2), pages 397-411.
    3. Gourieroux, C. & Heam, J.C. & Monfort, A., 2012. "Bilateral Exposures and Systemic Solvency Risk," Working papers 414, Banque de France.
    4. Mardi Dungey & Eric Renault, 2018. "Identifying contagion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(2), pages 227-250, March.
    5. Gagliardini, Patrick & Gouriéroux, Christian, 2019. "Identification by Laplace transforms in nonlinear time series and panel models with unobserved stochastic dynamic effects," Journal of Econometrics, Elsevier, vol. 208(2), pages 613-637.

  28. Christian Gouriéroux & University of Lugano, 2011. "Granularity Theory with Application to Finance and Insurance," Working Papers 2011-22, Center for Research in Economics and Statistics.

    Cited by:

    1. Gagliardini, Patrick & Gouriéroux, Christian, 2017. "Double instrumental variable estimation of interaction models with big data," Journal of Econometrics, Elsevier, vol. 201(2), pages 176-197.
    2. Barras, Laurent & Scaillet, Olivier & Gagliardini, Patrick, 2021. "Skill, scale, and value creation in the mutual fund industry," Working Papers unige:150822, University of Geneva, Geneva School of Economics and Management.

  29. Christian GOURIEROUX & Alain MONFORT, 2011. "Allocating Systematic and Unsystematic Risks in a Regulatory Perspective," Working Papers 2011-04, Center for Research in Economics and Statistics.

    Cited by:

    1. Idier, J. & Lamé, G. & Mésonnier, J S., 2011. "How useful is the Marginal Expected Shortfall for the measurement of systemic exposure? A practical assessment," Working papers 348, Banque de France.
    2. Genest, Benoit & Cao, Zhili, 2014. "Value-at-Risk in turbulence time," MPRA Paper 62906, University Library of Munich, Germany.
    3. O. de Bandt & J.-C. Héam & C. Labonne & S. Tavolaro, 2013. "Measuring Systemic Risk in a Post-Crisis World," Débats économiques et financiers 6, Banque de France.

  30. Simon Dubecq & Christian Gourieroux, 2010. "An Analysis of the Ultra Long-Term Yields," Working Papers 2010-49, Center for Research in Economics and Statistics.

    Cited by:

    1. Renne Jean-Paul, 2017. "A model of the euro-area yield curve with discrete policy rates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(1), pages 99-116, February.
    2. Gourieroux, C. & Monfort, A., 2015. "Pricing with finite dimensional dependence," Journal of Econometrics, Elsevier, vol. 187(2), pages 408-417.

  31. Patrick GAGLIARDINI & Christian GOURIEROUX, 2010. "Approximate Derivative Pricing for Large Classes of Homogeneous Assets with Systematic Risk," Working Papers 2010-07, Center for Research in Economics and Statistics.

    Cited by:

    1. Fermanian, Jean-David, 2014. "The limits of granularity adjustments," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 9-25.
    2. Jean-David Fermanian, 2013. "The Limits of Granularity Adjustments," Working Papers 2013-27, Center for Research in Economics and Statistics.
    3. Gordy, Michael B. & Marrone, James, 2012. "Granularity adjustment for mark-to-market credit risk models," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1896-1910.
    4. Serge Darolles & Christian Gouriéroux & Emmanuelle Jay, 2012. "Robust Portfolio Allocation with Systematic Risk Contribution Restrictions," Working Papers 2012-35, Center for Research in Economics and Statistics.
    5. M. B. Gordy & E. Lutkebohmert, 2013. "Granularity Adjustment for Regulatory Capital Assessment," International Journal of Central Banking, International Journal of Central Banking, vol. 9(3), pages 38-77, September.

  32. Patrick GAGLIARDINI & Christian GOURIEROUX & Alain MONFORT, 2010. "Microinformation, Nonlinear Filtering and Granularity," Swiss Finance Institute Research Paper Series 10-23, Swiss Finance Institute.

    Cited by:

    1. Patrick GAGLIARDINI & Christian GOURIEROUX, 2010. "Approximate Derivative Pricing for Large Classes of Homogeneous Assets with Systematic Risk," Working Papers 2010-07, Center for Research in Economics and Statistics.
    2. Christophe Boucher & Benjamin Hamidi & Patrick Kouontchou & Bertrand Maillet, 2012. "Une évaluation économique du risque de modèle pour les investisseurs de long-terme," Post-Print hal-01386007, HAL.
    3. Patrick Gagliardini & Christian Gouriéroux, 2012. "Correlated Risks vs Contagion in Stochastic Transition Models," Working Papers 2012-07, Center for Research in Economics and Statistics.

  33. Patrick GAGLIARDINI & Christian GOURIEROUX, 2009. "Efficiency in Large Dynamic Panel Models with Common Factor," Swiss Finance Institute Research Paper Series 09-12, Swiss Finance Institute.

    Cited by:

    1. Gregory Connor & Robert A. Korajczyk, 2019. "Semi-strong factors in asset returns," Economics Department Working Paper Series n294-19.pdf, Department of Economics, National University of Ireland - Maynooth.
    2. Geert Dhaene & Koen Jochmans, 2013. "Likelihood inference in an Autoregression with fixed effects," Sciences Po publications 2013-07, Sciences Po.
    3. Torben G. Andersen & Nicola Fusari & Viktor Todorov & Rasmus T. Varneskov, 2018. "Unified Inference for Nonlinear Factor Models from Panels with Fixed and Large Time Span," CREATES Research Papers 2018-03, Department of Economics and Business Economics, Aarhus University.
    4. Francesco Audrino & Fulvio Corsi & Kameliya Filipova, 2010. "Bond Risk Premia Forecasting: A Simple Approach for Extracting¨Macroeconomic Information from a Panel of Indicators," University of St. Gallen Department of Economics working paper series 2010 2010-09, Department of Economics, University of St. Gallen.
    5. Barigozzi, Matteo & Brownlees, Christian & Gallo, Giampiero M. & Veredas, David, 2014. "Disentangling systematic and idiosyncratic dynamics in panels of volatility measures," Journal of Econometrics, Elsevier, vol. 182(2), pages 364-384.
    6. Gagliardini, Patrick & Gouriéroux, Christian, 2017. "Double instrumental variable estimation of interaction models with big data," Journal of Econometrics, Elsevier, vol. 201(2), pages 176-197.
    7. Chen, Liang & Dolado, Juan José & Gonzalo, Jesús, 2011. "Detecting big structural breaks in large factor models," UC3M Working papers. Economics we1141, Universidad Carlos III de Madrid. Departamento de Economía.
    8. Christian Gourieroux & Joann Jasiak, 2022. "Long Run Risk in Stationary Structural Vector Autoregressive Models," Papers 2202.09473, arXiv.org.
    9. Matteo Barigozzi & Christian T. Brownlees & Giampiero M. Gallo & David Veredas, 2010. "Disentangling Systematic and Idiosyncratic Risk for Large Panels of Assets," Econometrics Working Papers Archive wp2010_06, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    10. Dalderop, Jeroen, 2023. "Semiparametric estimation of latent variable asset pricing models," Journal of Econometrics, Elsevier, vol. 236(1).
    11. Carlos Perez Montes, 2015. "Estimation of Regulatory Credit Risk Models," Journal of Financial Services Research, Springer;Western Finance Association, vol. 48(2), pages 161-191, October.
    12. Elena Andreou & Patrick Gagliardini & Eric Ghysels & Mirco Rubin, 2016. "Is Industrial Production Still the Dominant Factor for the US Economy?," Swiss Finance Institute Research Paper Series 16-11, Swiss Finance Institute.
    13. Antoine Djogbenou & Christian Gouri'eroux & Joann Jasiak & Maygol Bandehali, 2021. "Composite Likelihood for Stochastic Migration Model with Unobserved Factor," Papers 2109.09043, arXiv.org, revised Nov 2023.
    14. Carlos Pérez Montes, 2013. "Estimation of Regulatory Credit Risk Models," Working Papers 1305, Banco de España.
    15. Kerem Tuzcuoglu, 2019. "Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects," Staff Working Papers 19-16, Bank of Canada.
    16. Gagliardini, Patrick & Gouriéroux, Christian, 2019. "Identification by Laplace transforms in nonlinear time series and panel models with unobserved stochastic dynamic effects," Journal of Econometrics, Elsevier, vol. 208(2), pages 613-637.

  34. Christian Gourieroux & Alain Monfort, 2007. "Quadratic Stochastic Intensity and Prospective Mortality Tables," Working Papers 2007-30, Center for Research in Economics and Statistics.

    Cited by:

    1. Patrick GAGLIARDINI & Christian GOURIEROUX, 2010. "Approximate Derivative Pricing for Large Classes of Homogeneous Assets with Systematic Risk," Working Papers 2010-07, Center for Research in Economics and Statistics.
    2. David Blake & Nicole El Karoui & Stéphane Loisel & Richard Macminn, 2018. "Longevity risk and capital markets: The 2015–16 update," Post-Print hal-01995778, HAL.
    3. Monfort, A. & Renne, J.-P. & Roussellet, G., 2014. "A Quadratic Kalman Filter," Working papers 486, Banque de France.
    4. Pauline Barrieu & Harry Bensusan & Nicole El Karoui & Caroline Hillairet & Stéphane Loisel & Claudia Ravanelli & Yahia Salhi, 2012. "Understanding, Modeling and Managing Longevity Risk: Key Issues and Main Challenges," Post-Print hal-00417800, HAL.
    5. Biffis, Enrico & Blake, David, 2010. "Securitizing and tranching longevity exposures," Insurance: Mathematics and Economics, Elsevier, vol. 46(1), pages 186-197, February.
    6. Blake, David & Cairns, Andrew J.G., 2021. "Longevity risk and capital markets: The 2019-20 update," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 395-439.
    7. Christian Gourieroux & Yang Lu, 2013. "Long Term Care and Longevity," Working Papers 2013-16, Center for Research in Economics and Statistics.
    8. Dubecq, Simon & Monfort, Alain & Renne, Jean-Paul & Roussellet, Guillaume, 2016. "Credit and liquidity in interbank rates: A quadratic approach," Journal of Banking & Finance, Elsevier, vol. 68(C), pages 29-46.

  35. Joan Jasiak & D. Feng & C. Gourieroux, 2006. "The Ordered Qualitative Model For Credit Rating Transitions," Working Papers 2006_2, York University, Department of Economics.

    Cited by:

    1. Rosati, Nicoletta & Bellia, Mario & Matos, Pedro Verga & Oliviera, Vasco, 2019. "Ratings matter: announcements in times of crisis and the dynamics of stock markets," Working Papers 2019-08, Joint Research Centre, European Commission.
    2. Alain Monfort & Jean-Paul Renne, 2010. "Default, Liquidity and Crises : An Econometric Framework," Working Papers 2010-46, Center for Research in Economics and Statistics.
    3. Patrick GAGLIARDINI & Christian GOURIEROUX, 2010. "Approximate Derivative Pricing for Large Classes of Homogeneous Assets with Systematic Risk," Working Papers 2010-07, Center for Research in Economics and Statistics.
    4. Guglielmo Maria Caporale & Roman Matousek & Chris Stewart, 2010. "EU Banks Rating Assignments: Is there Heterogeneity between New and Old Member Countries?," CESifo Working Paper Series 3074, CESifo.
    5. Irina Peaucelle, 2005. "Dynamic analysis of bankruptcy and economic waves," PSE Working Papers halshs-00590851, HAL.
    6. Telg, Sean & Dubinova, Anna & Lucas, Andre, 2023. "Covid-19, credit risk management modeling, and government support," Journal of Banking & Finance, Elsevier, vol. 147(C).
    7. Areski Cousin & J'er^ome Lelong & Tom Picard, 2021. "Rating transitions forecasting: a filtering approach," Papers 2109.10567, arXiv.org, revised Jun 2023.
    8. Guglielmo Maria Caporale & Roman Matousek & Chris Stewart, 2009. "Rating Assignments: Lessons from International Banks," CESifo Working Paper Series 2618, CESifo.
    9. Silvia Centanni & Immacolata Oliva & Paola Tardelli, 2017. "Credit Risk in an Economy with New Firms Arrivals," Methodology and Computing in Applied Probability, Springer, vol. 19(3), pages 891-912, September.
    10. Alexander B. Matthies, 2013. "Empirical Research on Corporate Credit-Ratings: A Literature Review," SFB 649 Discussion Papers SFB649DP2013-003, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    11. Chateau, John-Peter D., 2009. "Marking-to-model credit and operational risks of loan commitments: A Basel-2 advanced internal ratings-based approach," International Review of Financial Analysis, Elsevier, vol. 18(5), pages 260-270, December.
    12. Mariusz Górajski & Dobromił Serwa & Zuzanna Wośko, 2016. "Measuring expected time to default under stress conditions for corporate loans," NBP Working Papers 237, Narodowy Bank Polski.
    13. Myriam Ben Ayed & Adel Karaa & Jean-Luc Prigent, 2018. "Duration Models For Credit Rating Migration: Evidence From The Financial Crisis," Post-Print hal-03679407, HAL.
    14. Balios, Dimitris & Thomadakis, Stavros & Tsipouri, Lena, 2016. "Credit rating model development: An ordered analysis based on accounting data," Research in International Business and Finance, Elsevier, vol. 38(C), pages 122-136.
    15. Cuadros-Solas, Pedro Jesús & Salvador Muñoz, Carlos, 2022. "Disentangling the sources of sovereign rating adjustments: An examination of changes in rating policies following the GFC," Research in International Business and Finance, Elsevier, vol. 59(C).
    16. Patrick GAGLIARDINI & Christian GOURIEROUX, 2010. "Efficiency in Large Dynamic Panel Models with Common Factor," Working Papers 2010-05, Center for Research in Economics and Statistics.
    17. Gourieroux, C. & Monfort, A., 2008. "Quadratic stochastic intensity and prospective mortality tables," Insurance: Mathematics and Economics, Elsevier, vol. 43(1), pages 174-184, August.
    18. Chateau, Jean-Pierre D., 2011. "Contribution à la réglementation de Bâle-3 : de la consistance interne du continuum du crédit commercial en marquant à la « valeur de modèle » le risque de crédit des engagements de crédit," L'Actualité Economique, Société Canadienne de Science Economique, vol. 87(4), pages 445-479, décembre.
    19. Helene Bouscasse Newinger & Iragaël Joly & Jean Peyhardi, 2019. "A new family of qualitative choice models: An application of reference models to travel mode choice," Post-Print hal-01984289, HAL.
    20. Forster, Jonathan J. & Buzzacchi, Matteo & Sudjianto, Agus & Nagao, Risa, 2016. "Modelling credit grade migration in large portfolios using cumulative t-link transition models," European Journal of Operational Research, Elsevier, vol. 254(3), pages 977-984.
    21. Areski Cousin & Mohamed Reda Kheliouen, 2016. "A comparative study on the estimation of factor migration models," Working Papers halshs-01351926, HAL.
    22. Chan, Ngai Hang & Wong, Hoi Ying & Zhao, Jing, 2012. "Structural model of credit migration," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3477-3490.
    23. Antoine Djogbenou & Christian Gouri'eroux & Joann Jasiak & Maygol Bandehali, 2021. "Composite Likelihood for Stochastic Migration Model with Unobserved Factor," Papers 2109.09043, arXiv.org, revised Nov 2023.
    24. Alexander Karminsky, 2016. "Rating models: emerging market distinctions," Papers 1607.02422, arXiv.org.
    25. Edwin O. Fischer & Lisa-Maria Kampl & Ines Wöckl, 2020. "On the Valuation and Analysis of Risky Debt: A Practical Approach Using Raging Migrations," Working Paper Series, Social and Economic Sciences 2020-01, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
    26. Kerem Tuzcuoglu, 2019. "Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects," Staff Working Papers 19-16, Bank of Canada.
    27. Areski Cousin & Jérôme Lelong & Tom Picard, 2023. "Rating transitions forecasting: a filtering approach," Post-Print hal-03347521, HAL.
    28. Dimitris Gavalas & Theodore Syriopoulos, 2014. "Bank Credit Risk Management and Rating Migration Analysis on the Business Cycle," IJFS, MDPI, vol. 2(1), pages 1-22, March.
    29. Oliver Blümke, 2020. "Estimating the probability of default for no‐default and low‐default portfolios," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(1), pages 89-107, January.
    30. Anisa Caja & Quentin Guibert & Frédéric Planchet, 2015. "Influence of Economic Factors on the Credit Rating Transitions and Defaults of Credit Insurance Business," Working Papers hal-01178812, HAL.
    31. Gourieroux, C. & Jasiak, J., 2012. "Granularity adjustment for default risk factor model with cohorts," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1464-1477.
    32. Hwang, Ruey-Ching & Chung, Huimin & Chu, C.K., 2010. "Predicting issuer credit ratings using a semiparametric method," Journal of Empirical Finance, Elsevier, vol. 17(1), pages 120-137, January.
    33. Adrian Gepp & Kuldeep Kumar & Sukanto Bhattacharya, 2010. "Business failure prediction using decision trees," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(6), pages 536-555.

  36. Christian Gourieroux & Peter C. B. Phillips & Jun Yu, 2006. "Indirect Inference for Dynamic Panel Models," Cowles Foundation Discussion Papers 1550, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Peter Fuleky & Eric Zivot, 2010. "Indirect Inference Based on the Score," Working Papers UWEC-2010-08, University of Washington, Department of Economics.
    2. In Choi & Sanghyun Jung, 2020. "Cross-sectional quasi maximum likelihood and bias-corrected pooled least squares estimators for short dynamic panels," Working Papers 2007, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    3. Norkutė, Milda & Westerlund, Joakim, 2019. "The factor analytical method for interactive effects dynamic panel models with moving average errors," Econometrics and Statistics, Elsevier, vol. 11(C), pages 83-104.
    4. Kruse, Yves Robinson & Kaufmann, Hendrik, 2015. "Bias-corrected estimation in mildly explosive autoregressions," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112897, Verein für Socialpolitik / German Economic Association.
    5. Peter C. B. Phillips & Yangru Wu & Jun Yu, 2011. "EXPLOSIVE BEHAVIOR IN THE 1990s NASDAQ: WHEN DID EXUBERANCE ESCALATE ASSET VALUES?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 52(1), pages 201-226, February.
    6. Carneiro, Anabela & Portugal, Pedro & Raposo, Pedro & Rodrigues, Paulo M.M., 2023. "The persistence of wages," Journal of Econometrics, Elsevier, vol. 233(2), pages 596-611.
    7. Sule Alan & Seda Ertac & Elif Kubilay & Gyongyi Loranth, 2020. "Understanding Gender Differences in Leadership," The Economic Journal, Royal Economic Society, vol. 130(626), pages 263-289.
    8. Calvet, Laurent E. & Czellar, Veronika, 2015. "Through the looking glass: Indirect inference via simple equilibria," Journal of Econometrics, Elsevier, vol. 185(2), pages 343-358.
    9. Efstathios Panayi & Gareth W. Peters, 2015. "Stochastic simulation framework for the limit order book using liquidity-motivated agents," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 2(02), pages 1-52.
    10. Smith, Simon C. & Timmermann, Allan & Zhu, Yinchu, 2019. "Variable selection in panel models with breaks," Journal of Econometrics, Elsevier, vol. 212(1), pages 323-344.
    11. Lynda Khalaf & Beatriz Peraza López, 2020. "Simultaneous Indirect Inference, Impulse Responses and ARMA Models," Econometrics, MDPI, vol. 8(2), pages 1-26, April.
    12. Yu, Jun, 2014. "Econometric Analysis Of Continuous Time Models: A Survey Of Peter Phillips’S Work And Some New Results," Econometric Theory, Cambridge University Press, vol. 30(4), pages 737-774, August.
    13. Zhenlin Yang, 2014. "Initial-Condition Free Estimation of Fixed Effects Dynamic Panel Data Models," Working Papers 16-2014, Singapore Management University, School of Economics.
    14. Michael Creel & Dennis Kristensen, "undated". "Indirect Likelihood Inference," Working Papers 558, Barcelona School of Economics.
    15. Bao, Yong & Yu, Xuewen, 2023. "Indirect inference estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1027-1053.
    16. Jean-Jacques Forneron & Serena Ng, 2015. "The ABC of Simulation Estimation with Auxiliary Statistics," Papers 1501.01265, arXiv.org, revised Oct 2017.
    17. Jun Yu, 2009. "Econometric Analysis of Continuous Time Models : A Survey of Peter Phillips’ Work and Some New Results," Microeconomics Working Papers 23046, East Asian Bureau of Economic Research.
    18. W. Robert Reed & Min Zhu, 2016. "On Estimating Long-Run Effects In Models with Lagged Dependent Variables," Working Papers in Economics 16/16, University of Canterbury, Department of Economics and Finance.
    19. Cizek, P. & Sadikoglu, S., 2014. "Bias-Corrected Quantile Regression Estimation of Censored Regression Models," Other publications TiSEM b351916f-03f7-4763-b47c-4, Tilburg University, School of Economics and Management.
    20. Stelios Arvanitis & Antonis Demos, 2015. "A class of indirect inference estimators: higher‐order asymptotics and approximate bias correction," Econometrics Journal, Royal Economic Society, vol. 18(2), pages 200-241, June.
    21. Yanbo Liu & Peter C. B. Phillips & Jun Yu, 2022. "A Panel Clustering Approach to Analyzing Bubble Behavior," Cowles Foundation Discussion Papers 2323, Cowles Foundation for Research in Economics, Yale University.
    22. Michael Creel, 2021. "Inference Using Simulated Neural Moments," Econometrics, MDPI, vol. 9(4), pages 1-15, September.
    23. Dang, Viet Anh & Kim, Minjoo & Shin, Yongcheol, 2015. "In search of robust methods for dynamic panel data models in empirical corporate finance," Journal of Banking & Finance, Elsevier, vol. 53(C), pages 84-98.
    24. Lealand Morin & Ying Shang, 2021. "Federal Reserve policy after the zero lower bound: an indirect inference approach," Empirical Economics, Springer, vol. 60(4), pages 2105-2124, April.
    25. Khalaf, Lynda & Saunders, Charles J., 2020. "Monte Carlo two-stage indirect inference (2SIF) for autoregressive panels," Journal of Econometrics, Elsevier, vol. 218(2), pages 419-434.
    26. Martin Browning & Lars Gårn Hansen & Sinne Smed, 2019. "Heterogeneous Consumer Reactions to Health News," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(2), pages 579-599.
    27. P Čížek & S Sadıkoğlu, 2022. "Misclassification-robust semiparametric estimation of single-index binary-choice models [Local NLLS estimation of semi-parametric binary choice models]," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 433-454.
    28. Jan Frederik Kiviet & Milan Pleus & Rutger Poldermans, 2015. "Accuracy and Efficiency of Various GMM Inference Techniques in Dynamic Micro Panel Data Models," CESifo Working Paper Series 5189, CESifo.
    29. Chen, Weihao & Cizek, Pavel, 2023. "Bias-Corrected Instrumental Variable Estimation in Linear Dynamic Panel Data Models," Other publications TiSEM 9bf2c16c-522f-4223-8037-c, Tilburg University, School of Economics and Management.
    30. Martin Browning & Lars Gårn Hansen & Sinne Smed, 2013. "Rational inattention or rational overreaction? Consumer reactions to health news," IFRO Working Paper 2013/14, University of Copenhagen, Department of Food and Resource Economics.
    31. Arvanitis Stelios & Demos Antonis, 2018. "On the Validity of Edgeworth Expansions and Moment Approximations for Three Indirect Inference Estimators," Journal of Econometric Methods, De Gruyter, vol. 7(1), pages 1-38, January.
    32. Pavel K. Koval & Andrey V. Polbin, 2023. "Estimation of Heterogenous Consumption and Income Parameters," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 6, pages 76-92, December.
    33. Gonçalves, Sílvia & Kaffo, Maximilien, 2015. "Bootstrap inference for linear dynamic panel data models with individual fixed effects," Journal of Econometrics, Elsevier, vol. 186(2), pages 407-426.
    34. Batarce, Marco & Basso, Franco & Basso, Leonardo J., 2023. "The elasticity of demand on urban highways: The case of Santiago," Transport Policy, Elsevier, vol. 133(C), pages 234-241.
    35. Zhang, Xiaoge & Chen, Maolong, 2023. "Indirect inference approach to estimating dynamic panel data models with irregular spacing," Economics Letters, Elsevier, vol. 226(C).
    36. Peter C.B. Phillips, 2011. "Folklore Theorems, Implicit Maps and New Unit Root Limit Theory," Cowles Foundation Discussion Papers 1781, Cowles Foundation for Research in Economics, Yale University.
    37. Chau, Tak Wai, 2014. "On the equivalence of indirect inference and bootstrap bias correction for linear IV estimators," Economics Letters, Elsevier, vol. 123(3), pages 333-335.
    38. Devdatta Ray & Mikael Linden, 2020. "Health expenditure, longevity, and child mortality: dynamic panel data approach with global data," International Journal of Health Economics and Management, Springer, vol. 20(1), pages 99-119, March.
    39. Rubio-Ramírez, Juan Francisco & Schorfheide, Frank & Fernández-Villaverde, Jesús, 2015. "Solution and Estimation Methods for DSGE Models," CEPR Discussion Papers 11032, C.E.P.R. Discussion Papers.
    40. Sundström, David, 2016. "A Comparison of Techniques to Evaluate Policies in Public Procurement," Umeå Economic Studies 928, Umeå University, Department of Economics, revised 17 Jun 2016.
    41. Alvarez, Luis Antonio, 2023. "Approximate Bayesian Computation for Partially Identified Models," MPRA Paper 117339, University Library of Munich, Germany.
    42. Prosper Dovonon & Alastair R. Hall, 2017. "The Asymptotic Properties of GMM and Indirect Inference Under Second-Order Identification," Economics Discussion Paper Series 1705, Economics, The University of Manchester.
    43. Huang, Naqun & Yang, Zhenlin, 2021. "Spatial dynamic models with short panels: Evaluating the impact of purchase restrictions on housing prices," Economic Modelling, Elsevier, vol. 103(C).
    44. Dovonon, Prosper & Hall, Alastair R., 2018. "The asymptotic properties of GMM and indirect inference under second-order identification," Journal of Econometrics, Elsevier, vol. 205(1), pages 76-111.
    45. Chen, Weihao & Cizek, Pavel, 2023. "Bias-Corrected Instrumental Variable Estimation in Linear Dynamic Panel Data Models," Discussion Paper 2023-028, Tilburg University, Center for Economic Research.
    46. Sadikoglu, Serhan, 2019. "Essays in econometric theory," Other publications TiSEM 99d83644-f9dc-49e3-a4e1-5, Tilburg University, School of Economics and Management.
    47. Dennis Kristensen & Bernard Salanié, 2010. "Higher Order Improvements for Approximate Estimators," CAM Working Papers 2010-04, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    48. Mehrabani, Ali, 2023. "Estimation and identification of latent group structures in panel data," Journal of Econometrics, Elsevier, vol. 235(2), pages 1464-1482.
    49. Arel-Bundock, Vincent, 2013. "A solution to the weak instrument bias in 2SLS estimation: Indirect inference with stochastic approximation," Economics Letters, Elsevier, vol. 120(3), pages 495-498.
    50. Shuowen Chen, 2022. "Indirect Inference for Nonlinear Panel Models with Fixed Effects," Papers 2203.10683, arXiv.org, revised Apr 2022.
    51. Richard A. Davis & Thiago do Rêgo Sousa & Claudia Klüppelberg, 2021. "Indirect inference for time series using the empirical characteristic function and control variates," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(5-6), pages 653-684, September.
    52. Vicky Fasen‐Hartmann & Sebastian Kimmig, 2020. "Robust estimation of stationary continuous‐time arma models via indirect inference," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(5), pages 620-651, September.
    53. Aushev, Alexander & Pesonen, Henri & Heinonen, Markus & Corander, Jukka & Kaski, Samuel, 2022. "Likelihood-free inference with deep Gaussian processes," Computational Statistics & Data Analysis, Elsevier, vol. 174(C).
    54. Li, Rui & Wan, Alan T.K. & You, Jinhong, 2016. "Semiparametric GMM estimation and variable selection in dynamic panel data models with fixed effects," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 401-423.
    55. Stelios Arvanitis, 2013. "On the Existence of Strongly Consistent Indirect Estimators When the Binding Function Is Compact Valued," Journal of Mathematics, Hindawi, vol. 2013, pages 1-14, November.
    56. Hendrik Kaufmannz & Robinson Kruse, 2013. "Bias-corrected estimation in potentially mildly explosive autoregressive models," CREATES Research Papers 2013-10, Department of Economics and Business Economics, Aarhus University.
    57. Efstathios Panayi & Gareth Peters, 2015. "Stochastic simulation framework for the Limit Order Book using liquidity motivated agents," Papers 1501.02447, arXiv.org, revised Jan 2015.
    58. Matteo Barigozzi & Roxana Halbleib & David Veredas, 2012. "Which model to match?," Working Papers 1229, Banco de España.
    59. Nikolay Gospodinov & Ivana Komunjer & Serena Ng, 2014. "Minimum Distance Estimation of Dynamic Models with Errors-In-Variables," FRB Atlanta Working Paper 2014-11, Federal Reserve Bank of Atlanta.
    60. Jean-Jacques Forneron & Serena Ng, 2020. "Inference by Stochastic Optimization: A Free-Lunch Bootstrap," Papers 2004.09627, arXiv.org, revised Sep 2020.
    61. Jan F. Kiviet & Milan Pleus & Rutger Poldermans, 2014. "Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models," UvA-Econometrics Working Papers 14-09, Universiteit van Amsterdam, Dept. of Econometrics.
    62. Alperovych, Yan & Cumming, Douglas & Czellar, Veronika & Groh, Alexander, 2021. "M&A rumors about unlisted firms," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1324-1339.
    63. Giorgio Calzolari & Laura Magazzini, 2013. "A powerful test of mean stationarity in dynamic models for panel data: Monte Carlo evidence," Working Papers 14/2013, University of Verona, Department of Economics.
    64. Michael Creel & Dennis Kristensen, 2013. "Indirect Likelihood Inference (revised)," UFAE and IAE Working Papers 931.13, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    65. Yong Bao, 2021. "Indirect Inference Estimation of a First-Order Dynamic Panel Data Model," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 79-98, December.

  37. Christian Gourieroux & Wei Liu, 2006. "Sensitivity Analysis of Distortion Risk Measures," Working Papers 2006-33, Center for Research in Economics and Statistics.

    Cited by:

    1. John Cotter & Kevin Dowd, 2011. "Estimating Financial Risk Measures for Futures Positions:A Non-Parametric Approach," Working Papers 200613, Geary Institute, University College Dublin.
    2. John Cotter & Kevin Dowd, 2011. "Evaluating the Precision of Estimators of Quantile-Based Risk Measures," Working Papers 200743, Geary Institute, University College Dublin.
    3. Peter W. Glynn & Yijie Peng & Michael C. Fu & Jian-Qiang Hu, 2021. "Computing Sensitivities for Distortion Risk Measures," INFORMS Journal on Computing, INFORMS, vol. 33(4), pages 1520-1532, October.
    4. Christian Gourieroux & Wei Liu, 2006. "Efficient Portfolio Analysis Using Distortion Risk Measures," Working Papers 2006-17, Center for Research in Economics and Statistics.
    5. Wozabal, Nancy, 2009. "Uniform limit theorems for functions of order statistics," Statistics & Probability Letters, Elsevier, vol. 79(12), pages 1450-1455, June.
    6. Debora Daniela Escobar & Georg Ch. Pflug, 2020. "The distortion principle for insurance pricing: properties, identification and robustness," Annals of Operations Research, Springer, vol. 292(2), pages 771-794, September.
    7. Daniela Escobar & Georg Pflug, 2018. "The distortion principle for insurance pricing: properties, identification and robustness," Papers 1809.06592, arXiv.org.

  38. Christian Gourieroux & Alain Monfort, 2006. "(Non) consistency of the Beta Kernel Estimator for Recovery Rate Distribution," Working Papers 2006-31, Center for Research in Economics and Statistics.

    Cited by:

    1. Hirukawa, Masayuki, 2010. "Nonparametric multiplicative bias correction for kernel-type density estimation on the unit interval," Computational Statistics & Data Analysis, Elsevier, vol. 54(2), pages 473-495, February.
    2. Ouimet, Frédéric & Tolosana-Delgado, Raimon, 2022. "Asymptotic properties of Dirichlet kernel density estimators," Journal of Multivariate Analysis, Elsevier, vol. 187(C).
    3. Salvatore D. Tomarchio & Antonio Punzo, 2019. "Modelling the loss given default distribution via a family of zero‐and‐one inflated mixture models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 182(4), pages 1247-1266, October.
    4. J. Samuel Baixauli & Susana Alvarez, 2010. "The Role of Market-Implied Severity Modeling for Credit VaR," Annals of Economics and Finance, Society for AEF, vol. 11(2), pages 337-353, November.
    5. Song Li & Mervyn J. Silvapulle & Param Silvapulle & Xibin Zhang, 2012. "Bayesian Approaches to Non-parametric Estimation of Densities on the Unit Interval," Monash Econometrics and Business Statistics Working Papers 3/12, Monash University, Department of Econometrics and Business Statistics.
    6. J. Baixauli & Susana Alvarez, 2012. "Implied Severity Density Estimation: An Extended Semiparametric Method to Compute Credit Value at Risk," Computational Economics, Springer;Society for Computational Economics, vol. 40(2), pages 115-129, August.
    7. Han, Chulwoo & Jang, Youngmin, 2013. "Effects of debt collection practices on loss given default," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 21-31.
    8. Bessa, Ricardo J. & Miranda, V. & Botterud, A. & Zhou, Z. & Wang, J., 2012. "Time-adaptive quantile-copula for wind power probabilistic forecasting," Renewable Energy, Elsevier, vol. 40(1), pages 29-39.
    9. Gospodinov, Nikolay & Hirukawa, Masayuki, 2012. "Nonparametric estimation of scalar diffusion models of interest rates using asymmetric kernels," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 595-609.
    10. Calabrese, Raffaella & Zenga, Michele, 2010. "Bank loan recovery rates: Measuring and nonparametric density estimation," Journal of Banking & Finance, Elsevier, vol. 34(5), pages 903-911, May.

  39. Christian Gourieroux & Wei Liu, 2006. "Efficient Portfolio Analysis Using Distortion Risk Measures," Working Papers 2006-17, Center for Research in Economics and Statistics.

    Cited by:

    1. Adam, Alexandre & Houkari, Mohamed & Laurent, Jean-Paul, 2008. "Spectral risk measures and portfolio selection," Journal of Banking & Finance, Elsevier, vol. 32(9), pages 1870-1882, September.
    2. Alfred Galichon, 2009. "The var at risk," Working Papers hal-00401793, HAL.

  40. Joan Jasiak & C. Gourieroux, 2006. "Dynamic Quantile Models," Working Papers 2006_4, York University, Department of Economics.

    Cited by:

    1. Charle Augusto Londoño, 2011. "Regresión del cuantil aplicada al modelo de redes neuronales artificiales," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 29(64), pages 62-109, July.
    2. Hamidi, Benjamin & Maillet, Bertrand & Prigent, Jean-Luc, 2014. "A dynamic autoregressive expectile for time-invariant portfolio protection strategies," Journal of Economic Dynamics and Control, Elsevier, vol. 46(C), pages 1-29.
    3. Julio Galvez & Javier Mencía, 2014. "Distributional Linkages between European Sovereign Bond and Bank Asset Returns," Working Papers wp2014_1407, CEMFI.
    4. Ayoub Ammy-Driss & Matthieu Garcin, 2021. "Efficiency of the financial markets during the COVID-19 crisis: time-varying parameters of fractional stable dynamics," Working Papers hal-02903655, HAL.
    5. Li, Jingyu & Yao, Yanzhen & Li, Jianping & Zhu, Xiaoqian, 2019. "Network-based estimation of systematic and idiosyncratic contagion: The case of Chinese financial institutions," Emerging Markets Review, Elsevier, vol. 40(C), pages 1-1.
    6. Francq, Christian & Zakoian, Jean-Michel, 2015. "Looking for efficient qml estimation of conditional value-at-risk at multiple risk levels," MPRA Paper 67195, University Library of Munich, Germany.
    7. Ayoub Ammy-Driss & Matthieu Garcin, 2020. "Efficiency of the financial markets during the COVID-19 crisis: time-varying parameters of fractional stable dynamics," Papers 2007.10727, arXiv.org, revised Nov 2021.
    8. Benjamin Hamidi & Bertrand Maillet & Jean-Luc Prigent, 2009. "A Risk Management Approach for Portfolio Insurance Strategies," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00389789, HAL.
    9. Juan Carlos Escanciano & Jose Olmo, 2007. "Backtesting Parametric Value-at-Risk with Estimation Risk," CAEPR Working Papers 2007-005, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington, revised Sep 2008.
    10. Serge Darolles & Christian Gourieroux & Joann Jasiak, 2009. "L-performance with an application to hedge funds," Post-Print halshs-00677730, HAL.
    11. Timo Dimitriadis & Tobias Fissler & Johanna Ziegel, 2020. "The Efficiency Gap," Papers 2010.14146, arXiv.org, revised Sep 2022.
    12. Chen, Cathy W.S. & Gerlach, Richard & Wei, D.C.M., 2009. "Bayesian causal effects in quantiles: Accounting for heteroscedasticity," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 1993-2007, April.
    13. Alex Maynard & Katsumi Shimotsu & Nina Kuriyama, 2023. "Inference in Predictive Quantile Regressions," Papers 2306.00296, arXiv.org.
    14. Manuel Arellano & Stéphane Bonhomme, 2015. "Nonlinear panel data estimation via quantile regressions," CeMMAP working papers CWP40/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    15. Giovanni Bonaccolto & Massimiliano Caporin & Bertrand Maillet, 2022. "Dynamic Large Financial Networks via Conditional Expected Shortfalls," Post-Print hal-03287947, HAL.
    16. Harvey,Andrew C., 2013. "Dynamic Models for Volatility and Heavy Tails," Cambridge Books, Cambridge University Press, number 9781107630024.
    17. Escanciano, J. C. & Olmo, J., 2007. "Estimation risk effects on backtesting for parametric value-at-risk models," Working Papers 07/11, Department of Economics, City University London.
    18. Cathy Chen & Richard Gerlach, 2013. "Semi-parametric quantile estimation for double threshold autoregressive models with heteroskedasticity," Computational Statistics, Springer, vol. 28(3), pages 1103-1131, June.
    19. Luis Melo Velandia & Luis Fernando Melo Velandia, 2019. "Regresión cuantílica dinámica para la medición del valor en riesgo: Una aplicación a datos colombianos," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 38(76), pages 23-50, January.
    20. Nieto, María Rosa & Ruiz Ortega, Esther, 2008. "Measuring financial risk : comparison of alternative procedures to estimate VaR and ES," DES - Working Papers. Statistics and Econometrics. WS ws087326, Universidad Carlos III de Madrid. Departamento de Estadística.
    21. Christian Francq & Jean-Michel Zakoian, 2014. "Multi-level Conditional VaR Estimation in Dynamic Models," Working Papers 2014-01, Center for Research in Economics and Statistics.
    22. Georges Tsafack & James Cataldo, 2021. "Backtesting and estimation error: value-at-risk overviolation rate," Empirical Economics, Springer, vol. 61(3), pages 1351-1396, September.
    23. Guodong Li & Yang Li & Chih-Ling Tsai, 2015. "Quantile Correlations and Quantile Autoregressive Modeling," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(509), pages 246-261, March.
    24. Zhijie Xiao & Roger Koenker, 2009. "Conditional Quantile Estimation for GARCH Models," Boston College Working Papers in Economics 725, Boston College Department of Economics.
    25. Harvey, Andrew & Oryshchenko, Vitaliy, 2012. "Kernel density estimation for time series data," International Journal of Forecasting, Elsevier, vol. 28(1), pages 3-14.
    26. Emmanuel Jurczenko & Bertrand Maillet & Paul Merlin, 2008. "Efficient Frontier for Robust Higher-order Moment Portfolio Selection," Post-Print halshs-00336475, HAL.
    27. Semeyutin, Artur & O’Neill, Robert, 2019. "A brief survey on the choice of parameters for: “Kernel density estimation for time series data”," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    28. Fuertes, Ana-Maria & Olmo, Jose, 2013. "Optimally harnessing inter-day and intra-day information for daily value-at-risk prediction," International Journal of Forecasting, Elsevier, vol. 29(1), pages 28-42.
    29. Christian Gourieroux & Wei Liu, 2009. "Control and Out‐of‐Sample Validation of Dependent Risks," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(3), pages 683-707, September.
    30. Leopoldo Catania & Alessandra Luati & Pierluigi Vallarino, 2021. "Economic vulnerability is state dependent," CREATES Research Papers 2021-09, Department of Economics and Business Economics, Aarhus University.
    31. Zongwu Cai & Xiyuan Liu, 2020. "A Functional-Coefficient VAR Model for Dynamic Quantiles with Constructing Financial Network," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202017, University of Kansas, Department of Economics, revised Oct 2020.
    32. Juan Carlos Escanciano & Pei Pei, 2012. "Pitfalls in Backtesting Historical Simulation VaR Models," CAEPR Working Papers 2012-003, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    33. Guillaume Bernis & Nicolas Brunel & Antoine Kornprobst & Simone Scotti, 2017. "Stochastic Evolution of Distributions - Applications to CDS indices," Post-Print halshs-01467736, HAL.
    34. Huang, Dashan & Yu, Baimin & Fabozzi, Frank J. & Fukushima, Masao, 2009. "CAViaR-based forecast for oil price risk," Energy Economics, Elsevier, vol. 31(4), pages 511-518, July.
    35. Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
    36. Bernard, Carole & Czado, Claudia, 2015. "Conditional quantiles and tail dependence," Journal of Multivariate Analysis, Elsevier, vol. 138(C), pages 104-126.
    37. CORONEO, Laura & VEREDAS, David, 2006. "Intradaily seasonality of returns distribution. A quantile regression approach and intradaily VaR estimation," LIDAM Discussion Papers CORE 2006077, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    38. Yuta Kurose & Yasuhiro Omori, 2012. "Bayesian Analysis of Time-Varying Quantiles Using a Smoothing Spline," CIRJE F-Series CIRJE-F-845, CIRJE, Faculty of Economics, University of Tokyo.
    39. Mauro Bernardi & Ghislaine Gayraud & Lea Petrella, 2013. "Bayesian inference for CoVaR," Papers 1306.2834, arXiv.org, revised Nov 2013.
    40. Ammy-Driss, Ayoub & Garcin, Matthieu, 2023. "Efficiency of the financial markets during the COVID-19 crisis: Time-varying parameters of fractional stable dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    41. Cheng Peng & Stanislav Uryasev, 2023. "Factor Model of Mixtures," Papers 2301.13843, arXiv.org, revised Mar 2023.
    42. Guillaume Bernis & Nicolas Brunel & Antoine Kornprobst & Simone Scotti, 2017. "Stochastic Evolution of Distributions - Applications to CDS indices," Documents de travail du Centre d'Economie de la Sorbonne 17007, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    43. Guillaume Bernis & Nicolas Brunel & Antoine Kornprobst & Simone Scotti, 2017. "Stochastic Evolution of Distributions - Applications to CDS indices," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01467736, HAL.
    44. Bertrand B. Maillet & Jean-Philippe R. M�decin, 2010. "Extreme Volatilities, Financial Crises and L-moment Estimations of Tail-indexes," Working Papers 2010_10, Department of Economics, University of Venice "Ca' Foscari".
    45. Komunjer, Ivana, 2013. "Quantile Prediction," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 961-994, Elsevier.

  41. Patrick Gagliardini & C. Gourieroux & E. Renault, 2005. "Efficient Derivative Pricing by Extended Method of Moments," University of St. Gallen Department of Economics working paper series 2005 2005-05, Department of Economics, University of St. Gallen.

    Cited by:

    1. Gianluca Cassese, 2014. "Option pricing in an imperfect world," Working Papers 277, University of Milano-Bicocca, Department of Economics, revised Jun 2014.
    2. Torben G. Andersen & Nicola Fusari & Viktor Todorov, 2012. "Parametric Inference and Dynamic State Recovery from Option Panels," Global COE Hi-Stat Discussion Paper Series gd12-266, Institute of Economic Research, Hitotsubashi University.
    3. Torben G. Andersen & Nicola Fusari & Viktor Todorov & Rasmus T. Varneskov, 2018. "Unified Inference for Nonlinear Factor Models from Panels with Fixed and Large Time Span," CREATES Research Papers 2018-03, Department of Economics and Business Economics, Aarhus University.
    4. Dario Alitab & Giacomo Bormetti & Fulvio Corsi & Adam A. Majewski, 2019. "A realized volatility approach to option pricing with continuous and jump variance components," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 42(2), pages 639-664, December.
    5. Xu, Ke-Li, 2020. "Inference of local regression in the presence of nuisance parameters," Journal of Econometrics, Elsevier, vol. 218(2), pages 532-560.
    6. Jaroslav Borovička & Lars P. Hansen & José A. Scheinkman, 2014. "Misspecified Recovery," NBER Working Papers 20209, National Bureau of Economic Research, Inc.
      • Jaroslav Borovička & Lars Peter Hansen & José A. Scheinkman, 2016. "Misspecified Recovery," Journal of Finance, American Finance Association, vol. 71(6), pages 2493-2544, December.
      • Jaroslav Borovicka & Lars Peter Hansen & Jose A. Scheinkman, 2015. "Misspecified Recovery," Working Papers 063_2014, Princeton University, Department of Economics, Econometric Research Program..
      • Jaroslav Boroviv{c}ka & Lars Peter Hansen & Jos'e A. Scheinkman, 2014. "Misspecified Recovery," Papers 1412.0042, arXiv.org, revised Oct 2015.
    7. Jia Li & Dacheng Xiu, 2016. "Generalized Method of Integrated Moments for High‐Frequency Data," Econometrica, Econometric Society, vol. 84, pages 1613-1633, July.
    8. Jarrow, Robert & Kwok, Simon Sai Man, 2015. "Specification tests of calibrated option pricing models," Journal of Econometrics, Elsevier, vol. 189(2), pages 397-414.
    9. Xiaohong Chen & Lars Peter Hansen & Peter G. Hansen, 2020. "Robust identification of investor beliefs," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(52), pages 33130-33140, December.
    10. Gourieroux, C. & Jasiak, J., 2008. "Dynamic quantile models," Journal of Econometrics, Elsevier, vol. 147(1), pages 198-205, November.
    11. Francesca Lilla, 2021. "Volatility Bursts: A discrete-time option model with multiple volatility components," Temi di discussione (Economic working papers) 1336, Bank of Italy, Economic Research and International Relations Area.
    12. Bruno Feunou & Cédric Okou, 2017. "Risk-Neutral Moment-Based Estimation of Affine Option Pricing Models," Staff Working Papers 17-55, Bank of Canada.
    13. Antoine, Bertille & Renault, Eric, 2012. "Efficient minimum distance estimation with multiple rates of convergence," Journal of Econometrics, Elsevier, vol. 170(2), pages 350-367.
    14. Chaudhuri, Saraswata & Renault, Eric, 2020. "Score tests in GMM: Why use implied probabilities?," Journal of Econometrics, Elsevier, vol. 219(2), pages 260-280.
    15. Cui, Liyuan & Hong, Yongmiao & Li, Yingxing, 2021. "Solving Euler equations via two-stage nonparametric penalized splines," Journal of Econometrics, Elsevier, vol. 222(2), pages 1024-1056.
    16. Gourieroux, C. & Monfort, A., 2007. "Econometric specification of stochastic discount factor models," Journal of Econometrics, Elsevier, vol. 136(2), pages 509-530, February.
    17. Francesco Audrino & Dominik Colangelo, 2009. "Option trading strategies based on semi-parametric implied volatility surface prediction," University of St. Gallen Department of Economics working paper series 2009 2009-24, Department of Economics, University of St. Gallen.
    18. Yuichi Kitamura, 2006. "Empirical Likelihood Methods in Econometrics: Theory and Practice," CIRJE F-Series CIRJE-F-430, CIRJE, Faculty of Economics, University of Tokyo.
    19. Cui, Zhenyu & Kirkby, J. Lars & Nguyen, Duy, 2021. "A data-driven framework for consistent financial valuation and risk measurement," European Journal of Operational Research, Elsevier, vol. 289(1), pages 381-398.
    20. Raymond Kan & Cesare Robotti, 0. "Comment on: Pseudo-True SDFs in Conditional Asset Pricing Models," Journal of Financial Econometrics, Oxford University Press, vol. 18(4), pages 729-735.
    21. Gagliardini, Patrick & Ronchetti, Diego, 2013. "Semi-parametric estimation of American option prices," Journal of Econometrics, Elsevier, vol. 173(1), pages 57-82.
    22. Gianluca Cassese, 2015. "Nonparametric Estimates of Option Prices Using Superhedging," Working Papers 293, University of Milano-Bicocca, Department of Economics, revised Feb 2015.
    23. Majewski, Adam A. & Bormetti, Giacomo & Corsi, Fulvio, 2015. "Smile from the past: A general option pricing framework with multiple volatility and leverage components," Journal of Econometrics, Elsevier, vol. 187(2), pages 521-531.
    24. Corsi, Fulvio & Fusari, Nicola & La Vecchia, Davide, 2013. "Realizing smiles: Options pricing with realized volatility," Journal of Financial Economics, Elsevier, vol. 107(2), pages 284-304.
    25. Julia Jiang & Weidong Tian, 2019. "Semi-nonparametric approximation and index options," Annals of Finance, Springer, vol. 15(4), pages 563-600, December.
    26. Zhentao Shi & Huanhuan Zheng, 2018. "Structural estimation of behavioral heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(5), pages 690-707, August.
    27. Han, Hyojin & Khrapov, Stanislav & Renault, Eric, 2020. "The leverage effect puzzle revisited: Identification in discrete time," Journal of Econometrics, Elsevier, vol. 217(2), pages 230-258.

  42. Christian Gourieroux & Razvan Sufana, 2005. "A Classification of Two Factor Affine Diffusion Term Structure Models," Working Papers 2005-42, Center for Research in Economics and Statistics.

    Cited by:

    1. Gourieroux, Christian & Sufana, Razvan, 2011. "Discrete time Wishart term structure models," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 815-824, June.
    2. Chiarella, Carl & Hsiao, Chih-Ying & Tô, Thuy-Duong, 2016. "Stochastic correlation and risk premia in term structure models," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 59-78.
    3. Gourieroux, C. & Monfort, A., 2008. "Quadratic stochastic intensity and prospective mortality tables," Insurance: Mathematics and Economics, Elsevier, vol. 43(1), pages 174-184, August.
    4. Eduardo Abi Jaber & Bruno Bouchard & Camille Illand & Eduardo Abi Jaber, 2018. "Stochastic invariance of closed sets with non-Lipschitz coefficients," Post-Print hal-01349639, HAL.
    5. Cheridito, Patrick & Filipovic, Damir & Kimmel, Robert L., 2006. "Affine Term Structure Models," Working Paper Series 2007-2, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    6. Abi Jaber, Eduardo & Bouchard, Bruno & Illand, Camille, 2019. "Stochastic invariance of closed sets with non-Lipschitz coefficients," Stochastic Processes and their Applications, Elsevier, vol. 129(5), pages 1726-1748.
    7. Alain Monfort & Fulvio Pegoraro, 2007. "Switching VARMA Term Structure Models - Extended Version," Working Papers 2007-19, Center for Research in Economics and Statistics.

  43. Christian Gourieroux & Alain Monfort & Vassilis Polimenis, 2005. "Affine Model for Credit Risk Analysis," Working Papers 2005-44, Center for Research in Economics and Statistics.

    Cited by:

    1. Alain Monfort & Jean-Paul Renne, 2010. "Default, Liquidity and Crises : An Econometric Framework," Working Papers 2010-46, Center for Research in Economics and Statistics.
    2. Jérémy Leymarie & Christophe Hurlin & Antoine Patin, 2018. "Loss Functions for LGD Models Comparison," Post-Print hal-01923050, HAL.
    3. Gourieroux, Christian & Sufana, Razvan, 2011. "Discrete time Wishart term structure models," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 815-824, June.
    4. Gourieroux, C. & Monfort, A., 2013. "Linear-price term structure models," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 24-41.
    5. Alain Monfort & Olivier Féron, 2011. "Joint Econometric Modeling of Spot Electricity Prices, Forwards and Options," Working Papers 2011-12, Center for Research in Economics and Statistics.
    6. Hao Wang & Anthony Bellotti & Rong Qu & Ruibin Bai, 2024. "Discrete-Time Survival Models with Neural Networks for Age–Period–Cohort Analysis of Credit Risk," Risks, MDPI, vol. 12(2), pages 1-26, February.
    7. Henri Bertholon & Alain Monfort & Fulvio Pegoraro, 2007. "Econometric Asset Pricing Modelling," Working Papers 2007-18, Center for Research in Economics and Statistics.
    8. Patrick Gagliardini, 2005. "Stochastic Migration Models with Application to Corporate Risk," Journal of Financial Econometrics, Oxford University Press, vol. 3(2), pages 188-226.
    9. Gouriéroux, C. & Monfort, A. & Renne, J.P., 2014. "Pricing default events: Surprise, exogeneity and contagion," Journal of Econometrics, Elsevier, vol. 182(2), pages 397-411.
    10. Bertholon, H. & Monfort, A. & Pegoraro, F., 2007. "Pricing and Inference with Mixtures of Conditionally Normal Processes," Working papers 188, Banque de France.
    11. Bjørn Eraker, 2008. "Affine General Equilibrium Models," Management Science, INFORMS, vol. 54(12), pages 2068-2080, December.
    12. Monfort, A. & Pegoraro, F., 2012. "Asset Pricing with Second-Order Esscher Transforms," Working papers 397, Banque de France.
    13. Gourieroux, C. & Monfort, A. & Sufana, R., 2010. "International money and stock market contingent claims," Journal of International Money and Finance, Elsevier, vol. 29(8), pages 1727-1751, December.
    14. Gonzalo Camba-Méndez & Dobromił Serwa, 2014. "Market perception of sovereign credit risk in the euro area during the financial crisis," NBP Working Papers 185, Narodowy Bank Polski.
    15. Gouriéroux, Christian, 2003. "Économétrie de la finance : l’exemple du risque de crédit," L'Actualité Economique, Société Canadienne de Science Economique, vol. 79(4), pages 399-418, Décembre.
    16. Anand Deo & Sandeep Juneja, 2019. "Credit Risk: Simple Closed Form Approximate Maximum Likelihood Estimator," Papers 1912.12611, arXiv.org.
    17. Masakazu Miura & Kenichiro Tamaki & Takayuki Shiohama, 2013. "Asymptotic Expansion for Term Structures of Defaultable Bonds with Non-Gaussian Dependent Innovations," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 20(4), pages 311-344, November.
    18. Gourieroux, C. & Monfort, A., 2007. "Econometric specification of stochastic discount factor models," Journal of Econometrics, Elsevier, vol. 136(2), pages 509-530, February.
    19. Bogdan Constantin VORONEANU, 2013. "Current Trends In The Approach Of The Credit Relationships Between Banks And Companies," Journal of Public Administration, Finance and Law, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 3(3), pages 91-97, June.
    20. Anand Deo & Sandeep Juneja, 2021. "Credit Risk: Simple Closed-Form Approximate Maximum Likelihood Estimator," Operations Research, INFORMS, vol. 69(2), pages 361-379, March.
    21. Gagliardini, P. & Gourieroux, C., 2005. "Migration correlation: Definition and efficient estimation," Journal of Banking & Finance, Elsevier, vol. 29(4), pages 865-894, April.
    22. Alain Monfort & Fulvio Pegoraro, 2007. "Switching VARMA Term Structure Models - Extended Version," Working Papers 2007-19, Center for Research in Economics and Statistics.
    23. Alain Monfort & Fulvio Pegoraro, 2006. "Multi-Lag Term Structure Models with Stochastic Risk Premia," Working Papers 2006-29, Center for Research in Economics and Statistics.
    24. Antoine Djogbenou & Christian Gouri'eroux & Joann Jasiak & Maygol Bandehali, 2021. "Composite Likelihood for Stochastic Migration Model with Unobserved Factor," Papers 2109.09043, arXiv.org, revised Nov 2023.
    25. Hurlin, Christophe & Leymarie, Jérémy & Patin, Antoine, 2018. "Loss functions for Loss Given Default model comparison," European Journal of Operational Research, Elsevier, vol. 268(1), pages 348-360.
    26. Monfort, A. & Renne, J-P., 2011. "Credit and liquidity risks in euro area sovereign yield curves," Working papers 352, Banque de France.
    27. Christian Gouriéroux & Yang Lu, 2023. "Noncausal affine processes with applications to derivative pricing," Mathematical Finance, Wiley Blackwell, vol. 33(3), pages 766-796, July.

  44. Joan Jasiak & R. Sufana & C. Gourieroux, 2005. "The Wishart Autoregressive Process of Multivariate Stochastic Volatility," Working Papers 2005_2, York University, Department of Economics.

    Cited by:

    1. Audrino, Francesco & Fengler, Matthias, 2013. "Are classical option pricing models consistent with observed option second-order moments? Evidence from high-frequency data," Economics Working Paper Series 1311, University of St. Gallen, School of Economics and Political Science.
    2. Gianni Amisano & Roberto Casarin, 2008. "Particle Filters for Markov-Switching Stochastic-Correlation Models," Working Papers 0814, University of Brescia, Department of Economics.
    3. Bauwens, Luc & Xu, Yongdeng, 2023. "DCC- and DECO-HEAVY: Multivariate GARCH models based on realized variances and correlations," International Journal of Forecasting, Elsevier, vol. 39(2), pages 938-955.
    4. Gourieroux, Christian & Sufana, Razvan, 2011. "Discrete time Wishart term structure models," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 815-824, June.
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    75. Roxana Halbleib & Valeri Voev, 2016. "Forecasting Covariance Matrices: A Mixed Approach," Journal of Financial Econometrics, Oxford University Press, vol. 14(2), pages 383-417.
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    78. Andrew Gordon Wilson & David A. Knowles & Zoubin Ghahramani, 2011. "Gaussian Process Regression Networks," Papers 1110.4411, arXiv.org.
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    80. Rama Cont & Lakshithe Wagalath, 2014. "Institutional Investors and the Dependence Structure of Asset Returns," Working Papers 2014-ACF-01, IESEG School of Management.
    81. Fengler, Matthias R. & Okhrin, Ostap, 2016. "Managing risk with a realized copula parameter," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 131-152.
    82. K. Triantafyllopoulos, 2012. "Multi‐variate stochastic volatility modelling using Wishart autoregressive processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 33(1), pages 48-60, January.
    83. Bastian Gribisch, 2018. "A latent dynamic factor approach to forecasting multivariate stock market volatility," Empirical Economics, Springer, vol. 55(2), pages 621-651, September.
    84. Robertson, Scott & Xing, Hao, 2015. "Large time behavior of solutions to semi-linear equations with quadratic growth in the gradient," LSE Research Online Documents on Economics 60578, London School of Economics and Political Science, LSE Library.
    85. LAURENT, Sébastien & ROMBOUTS, Jeroen V. K. & VIOLANTE, Francesco, 2010. "On the forecasting accuracy of multivariate GARCH models," LIDAM Discussion Papers CORE 2010025, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    86. László Márkus & Ashish Kumar, 2021. "Modelling Joint Behaviour of Asset Prices Using Stochastic Correlation," Methodology and Computing in Applied Probability, Springer, vol. 23(1), pages 341-354, March.
    87. Branger, Nicole & Muck, Matthias, 2012. "Keep on smiling? The pricing of Quanto options when all covariances are stochastic," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1577-1591.
    88. Golosnoy, Vasyl & Gribisch, Bastian & Liesenfeld, Roman, 2010. "The conditional autoregressive wishart model for multivariate stock market volatility," Economics Working Papers 2010-07, Christian-Albrechts-University of Kiel, Department of Economics.
    89. Yaojie Zhang & Yu Wei & Li Liu, 2019. "Improving forecasting performance of realized covariance with extensions of HAR-RCOV model: statistical significance and economic value," Quantitative Finance, Taylor & Francis Journals, vol. 19(9), pages 1425-1438, September.
    90. Benny Ren & Ian Barnett, 2022. "Autoregressive mixture models for clustering time series," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(6), pages 918-937, November.
    91. Trojan, Sebastian, 2014. "Multivariate Stochastic Volatility with Dynamic Cross Leverage," Economics Working Paper Series 1424, University of St. Gallen, School of Economics and Political Science.
    92. Manabu Asai & Mike K. P. So, 2021. "Quasi‐maximum likelihood estimation of conditional autoregressive Wishart models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(3), pages 271-294, May.
    93. Hiroaki Hata & Jun Sekine, 2017. "Risk-Sensitive Asset Management in a Wishart-Autoregressive Factor Model with Jumps," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 24(3), pages 221-252, September.
    94. Minchul Shin & Molin Zhong, 2020. "A New Approach to Identifying the Real Effects of Uncertainty Shocks," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 367-379, April.
    95. Lakshithe Wagalath, 2017. "Lost In Contagion? Building A Liquidation Index From Covariance Dynamics," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(01), pages 1-26, February.
    96. Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility (Revised in May 2007, Handbook of Financial Time Series (Published in "Handbook of Financial Time Series" (eds T.G. Andersen, R.A. Davis, Jens-Peter Kreiss," CARF F-Series CARF-F-094, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    97. Eduardo Abi Jaber, 2019. "The Laplace transform of the integrated Volterra Wishart process," Papers 1911.07719, arXiv.org, revised Jun 2020.
    98. Chiarella, Carl & Da Fonseca, José & Grasselli, Martino, 2014. "Pricing range notes within Wishart affine models," Insurance: Mathematics and Economics, Elsevier, vol. 58(C), pages 193-203.
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  45. Christian Gourieroux & Alain Monfort & Razvan Sufana, 2005. "International Money and Stock Market Contingent Claims," Working Papers 2005-41, Center for Research in Economics and Statistics.

    Cited by:

    1. Gourieroux, Christian & Sufana, Razvan, 2011. "Discrete time Wishart term structure models," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 815-824, June.
    2. Gourieroux, C. & Monfort, A., 2013. "Linear-price term structure models," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 24-41.
    3. Henri Bertholon & Alain Monfort & Fulvio Pegoraro, 2007. "Econometric Asset Pricing Modelling," Working Papers 2007-18, Center for Research in Economics and Statistics.
    4. Alessandro Gnoatto, 2012. "The Wishart Short Rate Model," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 15(08), pages 1-24.
    5. Monfort, A. & Renne, J.-P. & Roussellet, G., 2014. "A Quadratic Kalman Filter," Working papers 486, Banque de France.
    6. C. Gourieroux, 2006. "Continuous Time Wishart Process for Stochastic Risk," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 177-217.
    7. Pegoraro, F. & Siegel, A. F. & Tiozzo Pezzoli, L., 2014. "Specification Analysis of International Treasury Yield Curve Factors," Working papers 490, Banque de France.
    8. Alessandro Gnoatto & Martino Grasselli, 2011. "The explicit Laplace transform for the Wishart process," Papers 1107.2748, arXiv.org, revised Aug 2013.
    9. Chiarella, Carl & Da Fonseca, José & Grasselli, Martino, 2014. "Pricing range notes within Wishart affine models," Insurance: Mathematics and Economics, Elsevier, vol. 58(C), pages 193-203.
    10. Branger, Nicole & Herold, Michael & Muck, Matthias, 2021. "International stochastic discount factors and covariance risk," Journal of Banking & Finance, Elsevier, vol. 123(C).
    11. Christa Cuchiero & Damir Filipovi'c & Eberhard Mayerhofer & Josef Teichmann, 2009. "Affine processes on positive semidefinite matrices," Papers 0910.0137, arXiv.org, revised Apr 2011.

  46. Christian Gourieroux & Joann Jasiak & Razvan Sufana, 2004. "The Wishart Autoregressive of Multivariate Stochastic Volatility," Working Papers 2004-32, Center for Research in Economics and Statistics.

    Cited by:

    1. Gianni Amisano & Roberto Casarin, 2008. "Particle Filters for Markov-Switching Stochastic-Correlation Models," Working Papers 0814, University of Brescia, Department of Economics.
    2. Roberto Casarin & Marco Tronzano & Domenico Sartore, 2013. "Bayesian Markov Switching Stochastic Correlation Models," Working Papers 2013:11, Department of Economics, University of Venice "Ca' Foscari".
    3. Alexander Philipov & Mark Glickman, 2006. "Factor Multivariate Stochastic Volatility via Wishart Processes," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 311-334.
    4. Henri Bertholon & Alain Monfort & Fulvio Pegoraro, 2007. "Econometric Asset Pricing Modelling," Working Papers 2007-18, Center for Research in Economics and Statistics.
    5. Jun Ma, 2009. "Pricing Foreign Equity Options with Stochastic Correlation and Volatility," Annals of Economics and Finance, Society for AEF, vol. 10(2), pages 303-327, November.
    6. Roberto Casarin & Domenico Sartore, 2007. "Matrix-State Particle Filter for Wishart Stochastic Volatility Processes," Working Papers 2007_30, Department of Economics, University of Venice "Ca' Foscari".
    7. C. Gourieroux, 2006. "Continuous Time Wishart Process for Stochastic Risk," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 177-217.
    8. Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility," CIRJE F-Series CIRJE-F-488, CIRJE, Faculty of Economics, University of Tokyo.
    9. Jun Ma, 2009. "A Stochastic Correlation Model with Mean Reversion for Pricing Multi-Asset Options," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 16(2), pages 97-109, June.
    10. Christian Gourieroux & Joann Jasiak, 2006. "A Degeneracy in the Analysis of Volatility and Covolatility Effects," Working Papers 2006-30, Center for Research in Economics and Statistics.
    11. Alain Monfort & Fulvio Pegoraro, 2007. "Switching VARMA Term Structure Models - Extended Version," Working Papers 2007-19, Center for Research in Economics and Statistics.
    12. Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility (Revised in May 2007, Handbook of Financial Time Series (Published in "Handbook of Financial Time Series" (eds T.G. Andersen, R.A. Davis, Jens-Peter Kreiss," CARF F-Series CARF-F-094, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    13. Christian Gourieroux & Razvan Sufana, 2004. "Derivative Pricing with Multivariate Stochastic Volatility : Application to Credit Risk," Working Papers 2004-31, Center for Research in Economics and Statistics.
    14. Asai, Manabu & McAleer, Michael, 2009. "The structure of dynamic correlations in multivariate stochastic volatility models," Journal of Econometrics, Elsevier, vol. 150(2), pages 182-192, June.
    15. Branger, Nicole & Herold, Michael & Muck, Matthias, 2021. "International stochastic discount factors and covariance risk," Journal of Banking & Finance, Elsevier, vol. 123(C).

  47. Patrick Gagliardini & Christian Gourieroux, 2004. "Stochastic Migration Models with Application to Corporate Risk," Working Papers 2004-35, Center for Research in Economics and Statistics.

    Cited by:

    1. Alain Monfort & Jean-Paul Renne, 2010. "Default, Liquidity and Crises : An Econometric Framework," Working Papers 2010-46, Center for Research in Economics and Statistics.
    2. Patrick GAGLIARDINI & Christian GOURIEROUX, 2010. "Approximate Derivative Pricing for Large Classes of Homogeneous Assets with Systematic Risk," Working Papers 2010-07, Center for Research in Economics and Statistics.
    3. Parrini, Alessandro, 2013. "Importance Sampling for Portfolio Credit Risk in Factor Copula Models," MPRA Paper 103745, University Library of Munich, Germany.
    4. Christian Gouriéroux & Alain Monfort, 2017. "Composite Indirect Inference with Application," Working Papers 2017-07, Center for Research in Economics and Statistics.
    5. Monica Billio & Roberto Casarin, 2010. "Bayesian Estimation of Stochastic-Transition Markov-Switching Models for Business Cycle Analysis," Working Papers 1002, University of Brescia, Department of Economics.
    6. Telg, Sean & Dubinova, Anna & Lucas, Andre, 2023. "Covid-19, credit risk management modeling, and government support," Journal of Banking & Finance, Elsevier, vol. 147(C).
    7. Areski Cousin & J'er^ome Lelong & Tom Picard, 2021. "Rating transitions forecasting: a filtering approach," Papers 2109.10567, arXiv.org, revised Jun 2023.
    8. Trueck, Stefan & Rachev, Svetlozar T., 2008. "Rating Based Modeling of Credit Risk," Elsevier Monographs, Elsevier, edition 1, number 9780123736833.
    9. Christian Gouriéroux & Alain Monfort, 2016. "Composite Indirect Inference with Application to Corporate Risks," Working Papers 2016-32, Center for Research in Economics and Statistics.
    10. Myriam Ben Ayed & Adel Karaa & Jean-Luc Prigent, 2018. "Duration Models For Credit Rating Migration: Evidence From The Financial Crisis," Post-Print hal-03679407, HAL.
    11. Koopman, Siem Jan & Lucas, Andre & Monteiro, Andre, 2008. "The multi-state latent factor intensity model for credit rating transitions," Journal of Econometrics, Elsevier, vol. 142(1), pages 399-424, January.
    12. Monteiro, André A., 2009. "The econometrics of randomly spaced financial data: a survey," DES - Working Papers. Statistics and Econometrics. WS ws097924, Universidad Carlos III de Madrid. Departamento de Estadística.
    13. Anand Deo & Sandeep Juneja, 2019. "Credit Risk: Simple Closed Form Approximate Maximum Likelihood Estimator," Papers 1912.12611, arXiv.org.
    14. Stefanescu, Catalina & Tunaru, Radu & Turnbull, Stuart, 2009. "The credit rating process and estimation of transition probabilities: A Bayesian approach," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 216-234, March.
    15. Monica Billio & Roberto Casarin, 2008. "Identifying Business Cycle Turning Points with Sequential Monte Carlo Methods," Working Papers 0815, University of Brescia, Department of Economics.
    16. Anand Deo & Sandeep Juneja, 2021. "Credit Risk: Simple Closed-Form Approximate Maximum Likelihood Estimator," Operations Research, INFORMS, vol. 69(2), pages 361-379, March.
    17. Andre Lucas & Bastiaan Verhoef, 2012. "Aggregating Credit and Market Risk: The Impact of Model Specification," Tinbergen Institute Discussion Papers 12-057/2/DSF36, Tinbergen Institute.
    18. Areski Cousin & Mohamed Reda Kheliouen, 2016. "A comparative study on the estimation of factor migration models," Working Papers halshs-01351926, HAL.
    19. McNeil, Alexander J. & Wendin, Jonathan P., 2007. "Bayesian inference for generalized linear mixed models of portfolio credit risk," Journal of Empirical Finance, Elsevier, vol. 14(2), pages 131-149, March.
    20. Kerem Tuzcuoglu, 2019. "Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects," Staff Working Papers 19-16, Bank of Canada.
    21. Areski Cousin & Jérôme Lelong & Tom Picard, 2023. "Rating transitions forecasting: a filtering approach," Post-Print hal-03347521, HAL.
    22. Djeundje, Viani Biatat & Crook, Jonathan, 2018. "Incorporating heterogeneity and macroeconomic variables into multi-state delinquency models for credit cards," European Journal of Operational Research, Elsevier, vol. 271(2), pages 697-709.
    23. Gourieroux, C. & Jasiak, J., 2012. "Granularity adjustment for default risk factor model with cohorts," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1464-1477.

  48. Christian Gourieroux & Razvan Sufana, 2004. "Derivative Pricing with Multivariate Stochastic Volatility : Application to Credit Risk," Working Papers 2004-31, Center for Research in Economics and Statistics.

    Cited by:

    1. Richter, Anja, 2014. "Explicit solutions to quadratic BSDEs and applications to utility maximization in multivariate affine stochastic volatility models," Stochastic Processes and their Applications, Elsevier, vol. 124(11), pages 3578-3611.
    2. Branger, Nicole & Muck, Matthias & Seifried, Frank Thomas & Weisheit, Stefan, 2017. "Optimal portfolios when variances and covariances can jump," Journal of Economic Dynamics and Control, Elsevier, vol. 85(C), pages 59-89.
    3. Jacinto Marabel Romo, 2012. "Worst-Of Options And Correlation Skew Under A Stochastic Correlation Framework," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 15(07), pages 1-32.
    4. Dionne, Georges & Gauthier, Geneviève & Ouertani, Nadia & Tahani, Nabil, 2006. "Heterogeneous basket options pricing using analytical approximations," Working Papers 06-1, HEC Montreal, Canada Research Chair in Risk Management.
    5. Gourieroux, C. & Monfort, A. & Sufana, R., 2010. "International money and stock market contingent claims," Journal of International Money and Finance, Elsevier, vol. 29(8), pages 1727-1751, December.
    6. C. Gourieroux, 2006. "Continuous Time Wishart Process for Stochastic Risk," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 177-217.
    7. He, Yunhao & Leippold, Markus, 2020. "Short-run risk, business cycle, and the value premium," Journal of Economic Dynamics and Control, Elsevier, vol. 120(C).
    8. Jun Ma, 2009. "A Stochastic Correlation Model with Mean Reversion for Pricing Multi-Asset Options," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 16(2), pages 97-109, June.
    9. Andreas Mühlbacher & Thomas Guhr, 2018. "Credit Risk Meets Random Matrices: Coping with Non-Stationary Asset Correlations," Risks, MDPI, vol. 6(2), pages 1-25, April.
    10. José Fonseca & Martino Grasselli & Claudio Tebaldi, 2007. "Option pricing when correlations are stochastic: an analytical framework," Review of Derivatives Research, Springer, vol. 10(2), pages 151-180, May.
    11. JosE Da Fonseca & Martino Grasselli & Claudio Tebaldi, 2008. "A multifactor volatility Heston model," Quantitative Finance, Taylor & Francis Journals, vol. 8(6), pages 591-604.

  49. ALLARD, Marie & BRONSARD, Camille & GOURIÉROUX Christian, 2003. "Aversion Analysis," Cahiers de recherche 2003-06, Universite de Montreal, Departement de sciences economiques.
    • ALLARD, Marie & BRONSARD, Camille & GOURIÉROUX, Christian, 2003. "Aversion Analysis," Cahiers de recherche 04-2003, Centre interuniversitaire de recherche en économie quantitative, CIREQ.

    Cited by:

    1. Alexander Harin, 2005. "A Rational Irrational Man," Public Economics 0511005, University Library of Munich, Germany.
    2. Alexander Harin, 2005. "Gains and losses. The same or different choices?," International Finance 0508004, University Library of Munich, Germany.
    3. Alexander Harin, 2005. "Gains and losses: the same or different choices? A “non-ideal” economics approach," International Finance 0509002, University Library of Munich, Germany.
    4. Alexander Harin, 2005. "Scientific Revolution. A Farewell to EconWPA," Method and Hist of Econ Thought 0512003, University Library of Munich, Germany.

  50. Christian Gourieroux & Razvan Sufana, 2003. "Whishart Quadratic Term Structure Models," Working Papers 2003-50, Center for Research in Economics and Statistics.

    Cited by:

    1. Richter, Anja, 2014. "Explicit solutions to quadratic BSDEs and applications to utility maximization in multivariate affine stochastic volatility models," Stochastic Processes and their Applications, Elsevier, vol. 124(11), pages 3578-3611.
    2. Martino Grasselli & Claudio Tebaldi, 2008. "Solvable Affine Term Structure Models," Mathematical Finance, Wiley Blackwell, vol. 18(1), pages 135-153, January.
    3. Mesias Alfeus, 2019. "Stochastic Modelling of New Phenomena in Financial Markets," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2019.
    4. Eduardo Abi Jaber, 2022. "The Laplace transform of the integrated Volterra Wishart process," Mathematical Finance, Wiley Blackwell, vol. 32(1), pages 309-348, January.
    5. Gourieroux, C. & Monfort, A. & Sufana, R., 2010. "International money and stock market contingent claims," Journal of International Money and Finance, Elsevier, vol. 29(8), pages 1727-1751, December.
    6. C. Gourieroux, 2006. "Continuous Time Wishart Process for Stochastic Risk," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 177-217.
    7. Alfeus, Mesias & Grasselli, Martino & Schlögl, Erik, 2020. "A consistent stochastic model of the term structure of interest rates for multiple tenors," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    8. He, Yunhao & Leippold, Markus, 2020. "Short-run risk, business cycle, and the value premium," Journal of Economic Dynamics and Control, Elsevier, vol. 120(C).
    9. M. Costabile & I. Massabò & E. Russo, 2012. "On Pricing Contingent Claims Under The Double Heston Model," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 15(05), pages 1-27.
    10. Pauline Barrieu & Harry Bensusan & Nicole El Karoui & Caroline Hillairet & Stéphane Loisel & Claudia Ravanelli & Yahia Salhi, 2012. "Understanding, Modeling and Managing Longevity Risk: Key Issues and Main Challenges," Post-Print hal-00417800, HAL.
    11. Marco Realdon, 2006. "Quadratic Term Structure Models in Discrete Time," Discussion Papers 06/01, Department of Economics, University of York.
    12. Eduardo Abi Jaber, 2019. "The Laplace transform of the integrated Volterra Wishart process," Papers 1911.07719, arXiv.org, revised Jun 2020.
    13. Eduardo Abi Jaber, 2022. "The Laplace transform of the integrated Volterra Wishart process," Post-Print hal-02367200, HAL.
    14. Filipova, Kameliya & Audrino, Francesco & De Giorgi, Enrico, 2014. "Monetary policy regimes: Implications for the yield curve and bond pricing," Journal of Financial Economics, Elsevier, vol. 113(3), pages 427-454.
    15. JosE Da Fonseca & Martino Grasselli & Claudio Tebaldi, 2008. "A multifactor volatility Heston model," Quantitative Finance, Taylor & Francis Journals, vol. 8(6), pages 591-604.
    16. Eduardo Abi Jaber, 2022. "The Laplace transform of the integrated Volterra Wishart process," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-02367200, HAL.
    17. Ming Lin & Changjiang Liu & Linlin Niu, 2013. "Bayesian Estimation of Wishart Autoregressive Stochastic Volatility Model," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.

  51. Patrick Gagliardini & Christian Gourieroux, 2002. "Duration Time Series Models with Proportional Hazard," Working Papers 2002-21, Center for Research in Economics and Statistics.

    Cited by:

    1. Beare, Brendan K., 2009. "Copulas and Temporal Dependence," University of California at San Diego, Economics Working Paper Series qt87p829d4, Department of Economics, UC San Diego.
    2. Yanqin Fan & Xiaohong Chen & Andrew Patton, 2004. "(IAM Series No 003) Simple Tests for Models of Dependence Between Multiple Financial Time Series, with Applications to U.S. Equity Returns and Exchange Rates," FMG Discussion Papers dp483, Financial Markets Group.
    3. Longla, Martial & Peligrad, Magda, 2012. "Some aspects of modeling dependence in copula-based Markov chains," Journal of Multivariate Analysis, Elsevier, vol. 111(C), pages 234-240.
    4. Chen, Xiaohong & Fan, Yanqin, 2006. "Estimation of copula-based semiparametric time series models," Journal of Econometrics, Elsevier, vol. 130(2), pages 307-335, February.
    5. Beare, Brendan K., 2010. "Archimedean Copulas and Temporal Dependence," University of California at San Diego, Economics Working Paper Series qt0xh8q1g3, Department of Economics, UC San Diego.
    6. Costanza Naguib & Patrick Gagliardini, 2023. "A Semi-nonparametric Copula Model for Earnings Mobility," Diskussionsschriften dp2302, Universitaet Bern, Departement Volkswirtschaft.
    7. Xiaohong Chen & Yanqin Fan, 2002. "Evaluating Density Forecasts via the Copula Approach," Vanderbilt University Department of Economics Working Papers 0225, Vanderbilt University Department of Economics, revised Sep 2003.
    8. Beare, Brendan K. & Seo, Juwon, 2014. "Time Irreversible Copula-Based Markov Models," Econometric Theory, Cambridge University Press, vol. 30(5), pages 923-960, October.
    9. Brendan K. Beare & Juwon Seo, 2015. "Vine Copula Specifications for Stationary Multivariate Markov Chains," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(2), pages 228-246, March.

  52. Christian Gourieroux & Alain Monfort & Vassilis Polimenis, 2002. "Affine Term Structure Models," Working Papers 2002-49, Center for Research in Economics and Statistics.

    Cited by:

    1. Patrick GAGLIARDINI & Christian GOURIEROUX, 2010. "Approximate Derivative Pricing for Large Classes of Homogeneous Assets with Systematic Risk," Working Papers 2010-07, Center for Research in Economics and Statistics.
    2. Marco Realdon, 2006. "The Target Rate and Term Structure of Interest Rates," Discussion Papers 06/15, Department of Economics, University of York.
    3. Qiang Dai & Kenneth J. Singleton & Wei Yang, 2007. "Regime Shifts in a Dynamic Term Structure Model of U.S. Treasury Bond Yields," The Review of Financial Studies, Society for Financial Studies, vol. 20(5), pages 1669-1706, 2007 12.
    4. Nielsen, Heino Bohn & Rahbek, Anders, 2014. "Unit root vector autoregression with volatility induced stationarity," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 144-167.
    5. Bertholon, H. & Monfort, A. & Pegoraro, F., 2007. "Pricing and Inference with Mixtures of Conditionally Normal Processes," Working papers 188, Banque de France.
    6. Michael Gallmeyer & Burton Hollifield & Francisco Palomino & Stanley Zin, 2017. "Term Premium Dynamics and the Taylor Rule," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 7(04), pages 1-39, December.
    7. Gourieroux, C. & Monfort, A. & Sufana, R., 2010. "International money and stock market contingent claims," Journal of International Money and Finance, Elsevier, vol. 29(8), pages 1727-1751, December.
    8. Drew D. Creal & Jing Cynthia Wu, 2014. "Estimation of Affine Term Structure Models with Spanned or Unspanned Stochastic Volatility," NBER Working Papers 20115, National Bureau of Economic Research, Inc.
    9. Alain Monfort, 2008. "Optimal portfolio allocation under asset and surplus VaR constraints," Journal of Asset Management, Palgrave Macmillan, vol. 9(3), pages 178-192, September.
    10. Gourieroux, C. & Monfort, A., 2008. "Quadratic stochastic intensity and prospective mortality tables," Insurance: Mathematics and Economics, Elsevier, vol. 43(1), pages 174-184, August.
    11. Koo, B. & La Vecchia, D. & Linton, O., 2019. "Nonparametric Recovery of the Yield Curve Evolution from Cross-Section and Time Series Information," Cambridge Working Papers in Economics 1916, Faculty of Economics, University of Cambridge.
    12. Marco Realdon, 2006. "Quadratic Term Structure Models in Discrete Time," Discussion Papers 06/01, Department of Economics, University of York.
    13. Gourieroux, C. & Monfort, A., 2007. "Econometric specification of stochastic discount factor models," Journal of Econometrics, Elsevier, vol. 136(2), pages 509-530, February.
    14. Qiang Dai & Kenneth Singleton, 2003. "Term Structure Dynamics in Theory and Reality," The Review of Financial Studies, Society for Financial Studies, vol. 16(3), pages 631-678, July.
    15. Marco Realdon, 2007. "Extended-Gaussian Term Structure Models and Credit Risk Applications," Discussion Papers 07/27, Department of Economics, University of York.
    16. Dai, Qiang & Singleton, Kenneth J., 2003. "Fixed-income pricing," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 20, pages 1207-1246, Elsevier.
    17. Alain Monfort & Fulvio Pegoraro, 2007. "Switching VARMA Term Structure Models - Extended Version," Working Papers 2007-19, Center for Research in Economics and Statistics.
    18. Alain Monfort & Fulvio Pegoraro, 2006. "Multi-Lag Term Structure Models with Stochastic Risk Premia," Working Papers 2006-29, Center for Research in Economics and Statistics.
    19. Koo, Bonsoo & La Vecchia, Davide & Linton, Oliver, 2021. "Estimation of a nonparametric model for bond prices from cross-section and time series information," Journal of Econometrics, Elsevier, vol. 220(2), pages 562-588.

  53. Christian Gourieroux & Alain Monfort, 2002. "Pricing with Splines," Working Papers 2002-50, Center for Research in Economics and Statistics.

    Cited by:

    1. Christophe Chorro & Dominique Guegan & Florian Ielpo, 2008. "Option Pricing under GARCH models with Generalized Hyperbolic innovations (I) : Methodology," Post-Print halshs-00281585, HAL.
    2. Christophe Chorro & Dominique Guegan & Florian Ielpo, 2008. "Option Pricing under GARCH models with Generalized Hyperbolic innovations (I) : Methodology," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00281585, HAL.
    3. Holly, Alberto & Monfort, Alain & Rockinger, Michael, 2011. "Fourth order pseudo maximum likelihood methods," Journal of Econometrics, Elsevier, vol. 162(2), pages 278-293, June.
    4. Gourieroux, C. & Monfort, A., 2007. "Econometric specification of stochastic discount factor models," Journal of Econometrics, Elsevier, vol. 136(2), pages 509-530, February.

  54. Patrick Gagliardini & Christian Gourieroux, 2002. "Constrained Nonparametric Copulas," Working Papers 2002-20, Center for Research in Economics and Statistics.

    Cited by:

    1. Chen, Xiaohong & Fan, Yanqin, 2006. "Estimation of copula-based semiparametric time series models," Journal of Econometrics, Elsevier, vol. 130(2), pages 307-335, February.
    2. Jean-David Fermanian, 2003. "Goodness of Fit Tests for Copulas," Working Papers 2003-34, Center for Research in Economics and Statistics.
    3. Fermanian, Jean-David, 2005. "Goodness-of-fit tests for copulas," Journal of Multivariate Analysis, Elsevier, vol. 95(1), pages 119-152, July.

  55. Christian Gourieroux & Alain Monfort, 2002. "Equidependence in Qualitative and Duration Models with Application to Credit Risk," Working Papers 2002-51, Center for Research in Economics and Statistics.

    Cited by:

    1. Patrick Gagliardini, 2005. "Stochastic Migration Models with Application to Corporate Risk," Journal of Financial Econometrics, Oxford University Press, vol. 3(2), pages 188-226.
    2. Roberto Casarin, 2005. "Stochastic Processes in Credit Risk Modelling," Working Papers ubs0505, University of Brescia, Department of Economics.
    3. Gagliardini, P. & Gourieroux, C., 2005. "Migration correlation: Definition and efficient estimation," Journal of Banking & Finance, Elsevier, vol. 29(4), pages 865-894, April.

  56. Cécile Boyer & Christian Gourieroux & Gaëlle Le Fol, 2001. "Ajustement des prix bid et ask en présence d'information privée," Working Papers 2001-25, Center for Research in Economics and Statistics.

    Cited by:

    1. Marc Fleurbaey, 2006. "Social welfare, priority to the worst-off and the dimensions of individual well-being," Post-Print hal-00246841, HAL.
    2. Marc Fleurbaey, 2005. "Is Commodity Taxation Unfair?," IDEP Working Papers 0502, Institut d'economie publique (IDEP), Marseille, France, revised Jan 2005.
    3. Bovenberg, Lans & Boone, Jan, 2002. "The Optimal Taxation of Unskilled Labour with Job Search and Social Assistance," CEPR Discussion Papers 3446, C.E.P.R. Discussion Papers.
    4. Moffitt, Robert A., 2002. "Welfare programs and labor supply," Handbook of Public Economics, in: A. J. Auerbach & M. Feldstein (ed.), Handbook of Public Economics, edition 1, volume 4, chapter 34, pages 2393-2430, Elsevier.
    5. Robert Moffitt, 2002. "The Temporary Assistance for Needy Families Program," NBER Working Papers 8749, National Bureau of Economic Research, Inc.
    6. Olivier Bargain, 2008. "Normative evaluation of tax policies: from households to individuals," Journal of Population Economics, Springer;European Society for Population Economics, vol. 21(2), pages 339-371, April.

  57. Christian Gourieroux & Joanna Jasiak, 2001. "Local Likelihood Density Estimation and Value at Risk," Working Papers 2001-31, Center for Research in Economics and Statistics.

    Cited by:

    1. Hagmann, M. & Scaillet, O., 2007. "Local multiplicative bias correction for asymmetric kernel density estimators," Journal of Econometrics, Elsevier, vol. 141(1), pages 213-249, November.
    2. Marc Joëts, 2013. "Energy price transmissions during extreme movements," Working Papers 2013-28, Department of Research, Ipag Business School.
    3. Tae-Hwy Lee & Yong Bao & Burak Saltoğlu, 2007. "Comparing density forecast models Previous versions of this paper have been circulated with the title, 'A Test for Density Forecast Comparison with Applications to Risk Management' since October 2003;," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(3), pages 203-225.
    4. Dionne, Georges & Duchesne, Pierre & Pacurar, Maria, 2005. "Intraday Value at Risk (IVaR) using tick-by-tick data with application to the Toronto Stock Exchange," Working Papers 05-9, HEC Montreal, Canada Research Chair in Risk Management.

  58. Serge Darolles & Christian Gourieroux & Joanna Jasiak, 2001. "Compound Autoregressive Models," Working Papers 2001-21, Center for Research in Economics and Statistics.

    Cited by:

    1. Donkers, Bas & Schafgans, Marcia M. A., 2005. "A method of moments estimator for semiparametric index models," LSE Research Online Documents on Economics 6815, London School of Economics and Political Science, LSE Library.
    2. Roberto Casarin, 2005. "Stochastic Processes in Credit Risk Modelling," Working Papers ubs0505, University of Brescia, Department of Economics.
    3. MEDDAHI, Nour, 2001. "An Eigenfunction Approach for Volatility Modeling," Cahiers de recherche 2001-29, Universite de Montreal, Departement de sciences economiques.
    4. Peter F. Christoffersen & Francis X.Diebold, 2003. "Financial Asset Returns, Direction-of-Change Forecasting, and Volatility Dynamics," PIER Working Paper Archive 04-009, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    5. Donkers, A.C.D. & Schafgans, M., 2003. "A Derivative Based Estimator for Semiparametric Index Models," Discussion Paper 2003-22, Tilburg University, Center for Economic Research.
    6. Peter Christoffersen & Francis X. Diebold, 2002. "Financial Asset Returns, Market Timing, and Volatility Dynamics," CIRANO Working Papers 2002s-02, CIRANO.
    7. Peter D Spencer, "undated". "Coupon Bond Valuation with a Non-Affine Discount Yield Model," Discussion Papers 03/16, Department of Economics, University of York.

  59. Christian Gourieroux & Christian Yann Robert, 2001. "Tails and Extremal Behaviour of Stochastic Unit Root Models," Working Papers 2001-28, Center for Research in Economics and Statistics.

    Cited by:

    1. Anders Rahbek & Neil Shephard, 2001. "Autoregressive conditional root model," Economics Papers 2002-W7, Economics Group, Nuffield College, University of Oxford, revised 01 Feb 2002.

  60. Pierre Druilhet, 2001. "Conditions for Optimality in Experimental Designs," Working Papers 2001-20, Center for Research in Economics and Statistics.

    Cited by:

    1. Roberto Casarin, 2005. "Stochastic Processes in Credit Risk Modelling," Working Papers ubs0505, University of Brescia, Department of Economics.
    2. MEDDAHI, Nour, 2001. "An Eigenfunction Approach for Volatility Modeling," Cahiers de recherche 2001-29, Universite de Montreal, Departement de sciences economiques.
    3. Peter F. Christoffersen & Francis X.Diebold, 2003. "Financial Asset Returns, Direction-of-Change Forecasting, and Volatility Dynamics," PIER Working Paper Archive 04-009, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    4. Peter Christoffersen & Francis X. Diebold, 2002. "Financial Asset Returns, Market Timing, and Volatility Dynamics," CIRANO Working Papers 2002s-02, CIRANO.

  61. Christian Gourieroux & J. P. Laurent & Olivier Scaillet, 2000. "Sensitivity Analysis of Values at Risk," Econometric Society World Congress 2000 Contributed Papers 0162, Econometric Society.

    Cited by:

    1. Young Kim & Rosella Giacometti & Svetlozar Rachev & Frank Fabozzi & Domenico Mignacca, 2012. "Measuring financial risk and portfolio optimization with a non-Gaussian multivariate model," Annals of Operations Research, Springer, vol. 201(1), pages 325-343, December.
    2. Solange M. Berstein & Rómulo A. Chumacero, 2006. "Quantifying the costs of investment limits for Chilean pension funds," Fiscal Studies, Institute for Fiscal Studies, vol. 27(1), pages 99-123, March.
    3. Alex Huang, 2013. "Value at risk estimation by quantile regression and kernel estimator," Review of Quantitative Finance and Accounting, Springer, vol. 41(2), pages 225-251, August.
    4. Borgonovo, Emanuele & Hazen, Gordon B. & Jose, Victor Richmond R. & Plischke, Elmar, 2021. "Probabilistic sensitivity measures as information value," European Journal of Operational Research, Elsevier, vol. 289(2), pages 595-610.
    5. Paul Doukhan & Jean-David Fermanian & Gabriel Lang, 2009. "An empirical central limit theorem with applications to copulas under weak dependence," Statistical Inference for Stochastic Processes, Springer, vol. 12(1), pages 65-87, February.
    6. Sung Ik Kim, 2022. "ARMA–GARCH model with fractional generalized hyperbolic innovations," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-25, December.
    7. Tasche, Dirk, 2002. "Expected shortfall and beyond," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1519-1533, July.
    8. Rosen, Dan & Saunders, David, 2010. "Risk factor contributions in portfolio credit risk models," Journal of Banking & Finance, Elsevier, vol. 34(2), pages 336-349, February.
    9. Jeroen V.K. Rombouts & Marno Verbeek, 2004. "Evaluating Portfolio Value-at-Risk using Semi-Parametric GARCH Models," Cahiers de recherche 04-14, HEC Montréal, Institut d'économie appliquée.
    10. Fermanian, Jean-David & Scaillet, Olivier, 2003. "Nonparametric estimation of copulas for time series," Working Papers unige:41797, University of Geneva, Geneva School of Economics and Management.
    11. Jansen, Dennis W. & Koedijk, Kees G. & de Vries, Casper G., 2000. "Portfolio selection with limited downside risk," Journal of Empirical Finance, Elsevier, vol. 7(3-4), pages 247-269, November.
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  62. Serge Darolles & Jean-Pierre Florens & Christian Gourieroux, 2000. "Kernel Based Nonlinear Canonical Analysis and Time Reversibility," Working Papers 2000-18, Center for Research in Economics and Statistics.

    Cited by:

    1. Escanciano, J C. & Hoderlein, S. & Lewbel, A. & Linton, O. & Srisuma, S., 2020. "Nonparametric Euler Equation Identi?cation and Estimation," Cambridge Working Papers in Economics 2064, Faculty of Economics, University of Cambridge.
    2. McCAUSLAND, William J., 2004. "Time Reversibility of Stationary Regular Finite State Markov Chains," Cahiers de recherche 09-2004, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    3. Xiaohong Chen & Lars Peter Hansen & Jos´e A. Scheinkman, 2005. "Principal Components and the Long Run," Levine's Bibliography 122247000000000997, UCLA Department of Economics.
    4. Tommaso Proietti, 2020. "Peaks, Gaps, and Time Reversibility of Economic Time Series," CEIS Research Paper 492, Tor Vergata University, CEIS, revised 17 Jun 2020.
    5. Shibin Zhang, 2023. "A copula spectral test for pairwise time reversibility," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 75(5), pages 705-729, October.
    6. Beare, Brendan K. & Seo, Juwon, 2014. "Time Irreversible Copula-Based Markov Models," Econometric Theory, Cambridge University Press, vol. 30(5), pages 923-960, October.
    7. Zacharias Psaradakis, 2008. "Assessing Time‐Reversibility Under Minimal Assumptions," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(5), pages 881-905, September.
    8. Christian Gouriéroux & Eric Renault & Pascale Valery, 2007. "Diffusion Processes with Polynomial Eigenfunctions," Annals of Economics and Statistics, GENES, issue 85, pages 115-130.
    9. Christian Gourieroux & Hung T. Nguyen & Songsak Sriboonchitta, 2017. "Nonparametric estimation of a scalar diffusion model from discrete time data: a survey," Annals of Operations Research, Springer, vol. 256(2), pages 203-219, September.
    10. Xiaohong Chen & Lars Peter Hansen & Jose Scheinkman, 2009. "Principal Components and Long Run Implications of Multivariate Diffusions," Cowles Foundation Discussion Papers 1694, Cowles Foundation for Research in Economics, Yale University.

  63. Gourieroux, Christian & Josiak, Joann, 1999. "Nonlinear persistence and copersistence," CEPREMAP Working Papers (Couverture Orange) 9920, CEPREMAP.

    Cited by:

    1. Dittmann, Ingolf & Granger, Clive W. J., 2000. "Properties of nonlinear transformations of fractionally integrated processes," Technical Reports 2000,25, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    2. Darolles, Serge & Florens, Jean-Pierre & Gourieroux, Christian, 2004. "Kernel-based nonlinear canonical analysis and time reversibility," Journal of Econometrics, Elsevier, vol. 119(2), pages 323-353, April.

  64. Christian Gourieroux & Joanna Jasiak, 1999. "Dynamic Factor Models," Working Papers 99-08, Center for Research in Economics and Statistics.

    Cited by:

    1. Luc Bauwens & Pierre Giot & Joachim Grammig & David Veredas, 2000. "A Comparison of Financial Duration Models via Density Forecasts," Econometric Society World Congress 2000 Contributed Papers 0810, Econometric Society.
    2. David Mihaela & Jemna Dănuţ-Vasile, 2015. "Modeling the Frequency of Auto Insurance Claims by Means of Poisson and Negative Binomial Models," Scientific Annals of Economics and Business, Sciendo, vol. 62(2), pages 151-168, July.
    3. Patrick Gagliardini & Christian Gouriéroux, 2012. "Correlated Risks vs Contagion in Stochastic Transition Models," Working Papers 2012-07, Center for Research in Economics and Statistics.
    4. Barbara Choroś-Tomczyk & Wolfgang Karl Härdle & Ostap Okhrin, 2013. "CDO Surfaces Dynamics," SFB 649 Discussion Papers SFB649DP2013-032, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    5. Eric Ghysels & Christian Gourieroux & Joanna Jasiak, 1997. "Stochastic Volatility Duration Models," Working Papers 97-46, Center for Research in Economics and Statistics.
    6. Aït-Sahalia, Yacine & Xiu, Dacheng, 2017. "Using principal component analysis to estimate a high dimensional factor model with high-frequency data," Journal of Econometrics, Elsevier, vol. 201(2), pages 384-399.
    7. Matthias Fengler & Wolfgang Härdle & Enno Mammen, 2005. "A Dynamic Semiparametric Factor Model for Implied Volatility String Dynamics," SFB 649 Discussion Papers SFB649DP2005-020, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    8. Fengler, Matthias R. & Härdle, Wolfgang & Mammen, Enno, 2003. "Implied volatility string dynamics," SFB 373 Discussion Papers 2003,54, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    9. Michele Campolieti & Deborah Gefang & Gary Koop, 2013. "A new look at variation in employment growth in Canada," Working Papers 26145565, Lancaster University Management School, Economics Department.

  65. Darolles, S. & Florens, J.-P. & Gourieroux, C., 1999. "Kernel Based Nonlinear Canonical Analysis," Papers 99.514, Toulouse - GREMAQ.

    Cited by:

    1. Gourieroux, Christian & Josiak, Joann, 1999. "Nonlinear persistence and copersistence," CEPREMAP Working Papers (Couverture Orange) 9920, CEPREMAP.
    2. Nour Meddahi, 2000. "Temporal Aggregation of Volatility Models," Econometric Society World Congress 2000 Contributed Papers 1903, Econometric Society.
    3. Darolles, Serge & Gourieroux, Christian, 2001. "Truncated dynamics and estimation of diffusion equations," Journal of Econometrics, Elsevier, vol. 102(1), pages 1-22, May.

  66. Chesher, Andrew & Dhaene, Geert & Gouriéroux, Christian & Scaillet, Olivier, 1999. "Bartlett Identities Tests," LIDAM Discussion Papers IRES 1999019, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).

    Cited by:

    1. Marcelo Fernandes & Joachim Grammig, 2000. "Non-Parametric Specification Tests For Conditional Duration Models," Computing in Economics and Finance 2000 40, Society for Computational Economics.
    2. J.L. Prigent & O. Renault & O. Scaillet., 1999. "Option pricing with discrete rebalancing," THEMA Working Papers 99-41, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    3. Prigent, Jean-Luc & Renault, Olivier & Scaillet, Olivier, 2000. "An auto-regressive conditional binomial option pricing model," LSE Research Online Documents on Economics 119095, London School of Economics and Political Science, LSE Library.
    4. Chen, Yi-Ting, 2012. "A simple approach to standardized-residuals-based higher-moment tests," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 427-453.

  67. Gourieroux, Christian & Jasiak, Joanna, 1999. "Nonlinear innovations and impulse responses," CEPREMAP Working Papers (Couverture Orange) 9906, CEPREMAP.

    Cited by:

    1. Christian Gourieroux & Jean-Paul Laurent & Olivier Scaillet, 2000. "Sensitivity analysis of Values at Risk," Post-Print hal-03676327, HAL.
    2. Karapanagiotidis, Paul, 2013. "Empirical evidence for nonlinearity and irreversibility of commodity futures prices," MPRA Paper 56801, University Library of Munich, Germany.
    3. Jardet, C. & Monfort, A. & Pegoraro, F., 2009. "New Information Response Functions," Working papers 235, Banque de France.
    4. Caroline JARDET & Alain MONFORT & Fulvio PEGORARO, 2011. "No-arbitrage Near-Cointegrated VAR(p) Term Structure Models, Term Premia and GDP Growth," Working Papers 2011-03, Center for Research in Economics and Statistics.
    5. Lars Hansen & Jaroslav Borovicka, 2013. "Robust preference expansions," 2013 Meeting Papers 1199, Society for Economic Dynamics.
    6. Lan, Hong & Meyer-Gohde, Alexander, 2013. "Solving DSGE models with a nonlinear moving average," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2643-2667.
    7. Karapanagiotidis, Paul, 2014. "Dynamic modeling of commodity futures prices," MPRA Paper 56805, University Library of Munich, Germany.
    8. Hujer Reinhard & Grammig Joachim & Kokot Stefan, 2000. "Time Varying Trade Intensities and the Deutsche Telekom IPO / Zeitvariable Handelsintensitaten und die Deutsche Telekom IPO," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 220(6), pages 689-714, December.
    9. Jaroslav Borovička & Lars P. Hansen & Jose A. Scheinkman, 2014. "Shock Elasticities and Impulse Responses," NBER Working Papers 20104, National Bureau of Economic Research, Inc.

  68. Gourieroux, Christian & Jasiaky, Joanna, 1998. "Truncated maximum likelihood, goodness of fit tests and tail analysis," SFB 373 Discussion Papers 1998,36, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

    Cited by:

    1. Suárez-García, Pablo & Gómez-Ullate, David, 2013. "Scaling, stability and distribution of the high-frequency returns of the Ibex35 index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(6), pages 1409-1417.

  69. Dionne, G. & Gourieroux, C. & Vanasse, C., 1998. "The Informational Content of Household Decisions with Applications to Insurance under Adverse Selection," Papers 9806, Paris X - Nanterre, U.F.R. de Sc. Ec. Gest. Maths Infor..

    Cited by:

    1. Dionne, Georges, 1998. "La mesure empirique des problèmes d’information," L'Actualité Economique, Société Canadienne de Science Economique, vol. 74(4), pages 585-606, décembre.
    2. G. Dionne & R. Gagné, 2000. "Replacement Cost Endorsement and Opportunistic Fraud in Automobile Insurance," THEMA Working Papers 2000-06, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    3. Georges Dionne & Robert Gagné, 2001. "Deductible Contracts Against Fraudulent Claims: Evidence From Automobile Insurance," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 290-301, May.

  70. Christian Gourieroux & Alain Monfort, 1998. "The Econometrics of Efficient Frontiers," Working Papers 98-34, Center for Research in Economics and Statistics.

    Cited by:

  71. Dionne, G. & Gourieroux, C. & Vanasse, C., 1998. "Evidence of Adverse Selection in Automobile Insurance Markets," Papers 9822, Paris X - Nanterre, U.F.R. de Sc. Ec. Gest. Maths Infor..

    Cited by:

    1. Shengkun Xie, 2021. "Improving Explainability of Major Risk Factors in Artificial Neural Networks for Auto Insurance Rate Regulation," Risks, MDPI, vol. 9(7), pages 1-21, July.
    2. Dionne, G. & Doherty, N., 1991. "Adverse Selection in Insurance Markets: a Selective Survey," Cahiers de recherche 9105, Universite de Montreal, Departement de sciences economiques.
    3. Maria del Carmen Melgar & Jose Antonio Ordaz, 2010. "The Utility Of Zero-Inflated Models In The Estimation Of The Number Of Accidents In The Automobile Insurance Industry," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 5(2), pages 181-194, December.
    4. Dionne, Georges, 1998. "La mesure empirique des problèmes d’information," L'Actualité Economique, Société Canadienne de Science Economique, vol. 74(4), pages 585-606, décembre.
    5. Makki, Shiva S. & Somwaru, Agapi, 2002. "Asymmetric Information In Cotton Insurance Markets: Evidence From Texas," 2002 Annual meeting, July 28-31, Long Beach, CA 19827, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Makki Shiva S. & Somwaru Agapi L., 2007. "Assessing Adverse Selection in Crop Insurance Markets: An Application of Parametric and Nonparametric Methods," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 2(1), pages 1-22, May.
    7. M. Dahchour & G. Dionne, 2002. "Pricing of Automobile Insurance Under Asymmetric Information : a Study on Panel Data," THEMA Working Papers 2002-12, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    8. G. Dionne & C. Vanasse, 1997. "Une évaluation empirique de la nouvelle tarification de l'assurance automobile (1992) au Québec," THEMA Working Papers 97-22, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    9. Pierre-André Chiappori & Bernard Salanié, 2002. "Testing Contract Theory : A Survey of Some Recent Work," Working Papers 2002-11, Center for Research in Economics and Statistics.
    10. Jose Antonio Ordaz & Maria del Carmen Melgar & M. Kazim Khan, 2010. "Use and Extension of Count Data Models in the Determination of Relevant Factors for Claims in the Automobile Insurance Sector," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 119-138.
    11. Georges Dionne & Nathalie Fombaron & Neil Doherty, 2012. "Adverse Selection in Insurance Contracting," Cahiers de recherche 1231, CIRPEE.
    12. Chiappori, P.A. & Durand, F. & Geoffard, P.Y., 1998. "Moral Hazard and the Demand for Physician Services: First Lessons from a French Natural Experiment," DELTA Working Papers 98-05, DELTA (Ecole normale supérieure).
    13. Gourieroux, C. & Jasiak, J., 2004. "Heterogeneous INAR(1) model with application to car insurance," Insurance: Mathematics and Economics, Elsevier, vol. 34(2), pages 177-192, April.
    14. Dionne, G. & Maurice, M. & Pinquet, J. & Vanasse, C., 2001. "The Role of Memory in Long-Term Contracting with Moral Hazard: Empirical Evidence in Automobile Insurance," Ecole des Hautes Etudes Commerciales de Montreal- 01-05, Ecole des Hautes Etudes Commerciales de Montreal-Chaire de gestion des risques..
    15. Jose Antonio Ordaz & Maria del Carmen Melgar & M. Kazim Khan, 2011. "An Analysis Of Spanish Accidents In Automobile Insurance: The Use Of The Probit Model And Theoretical Potential Of Other Econometric Tools," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 6(3), pages 117-134, September.
    16. Donatella Porrini, 2015. "Risk Classification Efficiency and the Insurance Market Regulation," Risks, MDPI, vol. 3(4), pages 1-10, September.

  72. Christian Gourieroux & Joanna Jasiak, 1998. "Nonlinear Autocorrelograms : An Application to Intra-Trade Durations," Working Papers 98-41, Center for Research in Economics and Statistics.

    Cited by:

    1. Uwe Hassler & Paulo M.M. Rodrigues & Antonio Rubia, 2016. "Quantile Regression for Long Memory Testing: A Case of Realized Volatility," Journal of Financial Econometrics, Oxford University Press, vol. 14(4), pages 693-724.
    2. Darolles, Serge & Florens, Jean-Pierre & Gourieroux, Christian, 2004. "Kernel-based nonlinear canonical analysis and time reversibility," Journal of Econometrics, Elsevier, vol. 119(2), pages 323-353, April.
    3. Gourieroux, Christian & Josiak, Joann, 1999. "Nonlinear persistence and copersistence," CEPREMAP Working Papers (Couverture Orange) 9920, CEPREMAP.
    4. Drost, F.C. & Werker, B.J.M., 2004. "Semiparametric duration models," Other publications TiSEM a1895e3e-f720-454b-9613-f, Tilburg University, School of Economics and Management.
    5. Christian Gourieroux & Joann Jasiak, 2011. "Nonlinear Persistence and Copersistence," Palgrave Macmillan Books, in: Greg N. Gregoriou & Razvan Pascalau (ed.), Nonlinear Financial Econometrics: Markov Switching Models, Persistence and Nonlinear Cointegration, chapter 4, pages 77-103, Palgrave Macmillan.
    6. J. V. Andersen & D Sornette, 2003. "Fearless versus Fearful Speculative Financial Bubbles," Papers cond-mat/0311089, arXiv.org.
    7. Vladimir Filimonov & Didier Sornette, 2013. "Apparent criticality and calibration issues in the Hawkes self-excited point process model: application to high-frequency financial data," Papers 1308.6756, arXiv.org, revised Jul 2014.

  73. Christian Gourieroux & Joanna Jasiak, 1998. "Truncated Maximum Likelihood and Nonparametric Tail Analysis," Working Papers 98-25, Center for Research in Economics and Statistics.

    Cited by:

    1. Y. Malevergne & D. Sornette, 2001. "Testing the Gaussian Copula Hypothesis for Financial Assets Dependences," Papers cond-mat/0111310, arXiv.org.
    2. Bali, Turan G. & Neftci, Salih N., 2003. "Disturbing extremal behavior of spot rate dynamics," Journal of Empirical Finance, Elsevier, vol. 10(4), pages 455-477, September.
    3. Engle, Robert F. & Manganelli, Simone, 2001. "Value at risk models in finance," Working Paper Series 75, European Central Bank.

  74. Christian Gourieroux & Joanna Jasiak, 1998. "Nonlinear Panel Data Models with Dynamic Heterogeneity," Working Papers 98-50, Center for Research in Economics and Statistics.

    Cited by:

    1. Chihwa Kao & Yongmiao Hong, 2004. "Detecting Neglected Nonlinearity in Dynamic Panel Data with Time-Varying Conditional Heteroskedasticity," Econometric Society 2004 Far Eastern Meetings 753, Econometric Society.

  75. Eric Ghysels & Christian Gourieroux & Joanna Jasiak, 1998. "Causality Between Returns and Trated Volumes," Working Papers 98-40, Center for Research in Economics and Statistics.

    Cited by:

    1. Müller, Christian, 2012. "A new interpretation of known facts: The case of two-way causality between trading and volatility," Economic Modelling, Elsevier, vol. 29(3), pages 664-670.
    2. Chuang, Wen-I & Liu, Hsiang-Hsi & Susmel, Rauli, 2012. "The bivariate GARCH approach to investigating the relation between stock returns, trading volume, and return volatility," Global Finance Journal, Elsevier, vol. 23(1), pages 1-15.
    3. Luo, Dan & Mao, Yipeng, 2021. "Fundamental volatility and informative trading volume in a rational expectations equilibrium," Economic Modelling, Elsevier, vol. 105(C).

  76. Denis Fougère & Christian Gourieroux & A, Tiomo & Alain Trognon, 1997. "An Econometric Analysis of Household Portfolio Allocation," Working Papers 97-45, Center for Research in Economics and Statistics.

    Cited by:

    1. Raffaele Miniaci & Sergio Pastorello, 2010. "Mean-variance econometric analysis of household portfolios," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(3), pages 481-504.

  77. Serge Darolles & Christian Gourieroux, 1997. "Truncated Dynamics and Estimation of DiffusionEquations," Working Papers 97-36, Center for Research in Economics and Statistics.

    Cited by:

    1. Dennis Kristensen, 2007. "Nonparametric Estimation and Misspecification Testing of Diffusion Models," CREATES Research Papers 2007-01, Department of Economics and Business Economics, Aarhus University.
    2. Dennis Kristensen, 2009. "Pseudo-Maximum Likelihood Estimation in Two Classes of Semiparametric Diffusion Models," CREATES Research Papers 2009-41, Department of Economics and Business Economics, Aarhus University.
    3. Wilfling, Bernd & Trede, Mark, 2004. "Estimating Exchange Rate Dynamics with Diffusion Processes: An Application to Greek EMU Data," HWWA Discussion Papers 267, Hamburg Institute of International Economics (HWWA).
    4. Darolles, Serge & Florens, Jean-Pierre & Gourieroux, Christian, 2004. "Kernel-based nonlinear canonical analysis and time reversibility," Journal of Econometrics, Elsevier, vol. 119(2), pages 323-353, April.
    5. Dennis Kristensen, 2004. "Estimation in Two Classes of Semiparametric Diffusion Models," FMG Discussion Papers dp500, Financial Markets Group.
    6. Kristensen, Dennis, 2008. "Estimation of partial differential equations with applications in finance," Journal of Econometrics, Elsevier, vol. 144(2), pages 392-408, June.
    7. Wilfling Bernd, 2003. "Interest Rate Volatility Prior to Monetary Union under Alternative Pre-Switch Regimes," German Economic Review, De Gruyter, vol. 4(4), pages 433-457, December.
    8. Christian Gouriéroux & Eric Renault & Pascale Valery, 2007. "Diffusion Processes with Polynomial Eigenfunctions," Annals of Economics and Statistics, GENES, issue 85, pages 115-130.
    9. Christian Gourieroux & Hung T. Nguyen & Songsak Sriboonchitta, 2017. "Nonparametric estimation of a scalar diffusion model from discrete time data: a survey," Annals of Operations Research, Springer, vol. 256(2), pages 203-219, September.
    10. Ruijun Bu & Jihyun Kim & Bin Wang, 2020. "Uniform and Lp Convergences of Nonparametric Estimation for Diffusion Models," Working Papers 202021, University of Liverpool, Department of Economics.
    11. Bu, Ruijun & Kim, Jihyun & Wang, Bin, 2023. "Uniform and Lp convergences for nonparametric continuous time regressions with semiparametric applications," Journal of Econometrics, Elsevier, vol. 235(2), pages 1934-1954.

  78. Gouriéroux, C. & Scaillet, O., 1997. "Multiregime Term Structure Models," LIDAM Discussion Papers IRES 1998002, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES), revised 00 Dec 1997.

    Cited by:

    1. E, Clement & Christian Gourieroux & Alain Monfort, 1997. "Econometric Specification of the Risk Neutral Valuation Model," Working Papers 97-33, Center for Research in Economics and Statistics.

  79. Eric Ghysels & Christian Gourieroux & Joanna Jasiak, 1997. "Stochastic Volatility Duration Models," Working Papers 97-46, Center for Research in Economics and Statistics.

    Cited by:

    1. Luc Bauwens & Pierre Giot & Joachim Grammig & David Veredas, 2000. "A Comparison of Financial Duration Models via Density Forecasts," Econometric Society World Congress 2000 Contributed Papers 0810, Econometric Society.
    2. Hiroyuki Kawakatsu, 2019. "Jointly Modeling Autoregressive Conditional Mean and Variance of Non-Negative Valued Time Series," Econometrics, MDPI, vol. 7(4), pages 1-19, December.
    3. Veredas, David & Rodríguez Poo, Juan M. & Espasa, Antoni, 2001. "On the (intradaily) seasonality and dynamics of a financial point process: a semiparametric approach," DES - Working Papers. Statistics and Econometrics. WS ws013321, Universidad Carlos III de Madrid. Departamento de Estadística.
    4. Taoufik Bouezmarni & Jeroen V.K. Rombouts, 2006. "Nonparametric Density Estimation for Positive Time Series," Cahiers de recherche 06-09, HEC Montréal, Institut d'économie appliquée.
    5. Allen, David & Lazarov, Zdravetz & McAleer, Michael & Peiris, Shelton, 2009. "Comparison of alternative ACD models via density and interval forecasts: Evidence from the Australian stock market," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2535-2555.
    6. Bjoern Schulte-Tillmann & Mawuli Segnon & Timo Wiedemann, 2023. "A comparison of high-frequency realized variance measures: Duration- vs. return-based approaches," CQE Working Papers 10523, Center for Quantitative Economics (CQE), University of Muenster.
    7. Marcelo Fernandes & Joachim Grammig, 2000. "Non-Parametric Specification Tests For Conditional Duration Models," Computing in Economics and Finance 2000 40, Society for Computational Economics.
    8. Giovanni De Luca & Giampiero M. Gallo, 2005. "Time-varying Mixing Weights in Mixture Autoregressive Conditional Duration Models," Econometrics Working Papers Archive wp2005_11, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    9. N. Taylor & Y. Xu, 2017. "The logarithmic vector multiplicative error model: an application to high frequency NYSE stock data," Quantitative Finance, Taylor & Francis Journals, vol. 17(7), pages 1021-1035, July.
    10. Luc Bauwens & David Veredas, 2004. "The stochastic conditional duration model: a latent factor model for the analysis of financial durations," ULB Institutional Repository 2013/136234, ULB -- Universite Libre de Bruxelles.
    11. COSMA, Antonio & GALLI, Fausto, 2006. "A nonparametric ACD model," LIDAM Discussion Papers CORE 2006067, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    12. Wang, Guochao & Zheng, Shenzhou & Wang, Jun, 2019. "Complex and composite entropy fluctuation behaviors of statistical physics interacting financial model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 97-113.
    13. Nour Meddahi, 2002. "ARMA Representation of Two-Factor Models," CIRANO Working Papers 2002s-92, CIRANO.
    14. Jiang, Zhi-Qiang & Chen, Wei & Zhou, Wei-Xing, 2008. "Scaling in the distribution of intertrade durations of Chinese stocks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(23), pages 5818-5825.
    15. Li, Zhicheng & Chen, Xinyun & Xing, Haipeng, 2023. "A multifactor regime-switching model for inter-trade durations in the high-frequency limit order market," Economic Modelling, Elsevier, vol. 118(C).
    16. Bodnar, Taras & Hautsch, Nikolaus, 2013. "Copula-based dynamic conditional correlation multiplicative error processes," CFS Working Paper Series 2013/19, Center for Financial Studies (CFS).
    17. Hautsch, Nikolaus, 2007. "Capturing common components in high-frequency financial time series: A multivariate stochastic multiplicative error model," CFS Working Paper Series 2007/25, Center for Financial Studies (CFS).
    18. Cho, Jin Seo & White, Halbert, 2010. "Testing for unobserved heterogeneity in exponential and Weibull duration models," Journal of Econometrics, Elsevier, vol. 157(2), pages 458-480, August.
    19. Drost, F.C. & Werker, B.J.M., 2004. "Semiparametric duration models," Other publications TiSEM a1895e3e-f720-454b-9613-f, Tilburg University, School of Economics and Management.
    20. Trojan, Sebastian, 2014. "Modeling Intraday Stochastic Volatility and Conditional Duration Contemporaneously with Regime Shifts," Economics Working Paper Series 1425, University of St. Gallen, School of Economics and Political Science.
    21. Luintel, Kul B & Xu, Yongdeng, 2013. "Testing weak exogeneity in multiplicative error models," Cardiff Economics Working Papers E2013/6, Cardiff University, Cardiff Business School, Economics Section.
    22. Bodnar, Taras & Hautsch, Nikolaus, 2016. "Dynamic conditional correlation multiplicative error processes," Journal of Empirical Finance, Elsevier, vol. 36(C), pages 41-67.
    23. Pérez-Rodríguez, Jorge V. & Gómez-Déniz, Emilio & Sosvilla-Rivero, Simón, 2021. "Testing unobserved market heterogeneity in financial markets: The case of Banco Popular," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 151-160.
    24. BAUWENS, Luc & GIOT, Pierre, 1998. "Asymmetric ACD models: introducing price information in ACD models with a two state transition model," LIDAM Discussion Papers CORE 1998044, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    25. Joel Hasbrouck, 1999. "Trading Fast and Slow: Security Market Events in Real Time," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-012, New York University, Leonard N. Stern School of Business-.
    26. Monteiro, André A., 2009. "The econometrics of randomly spaced financial data: a survey," DES - Working Papers. Statistics and Econometrics. WS ws097924, Universidad Carlos III de Madrid. Departamento de Estadística.
    27. MEDDAHI, Nour, 2001. "An Eigenfunction Approach for Volatility Modeling," Cahiers de recherche 2001-29, Universite de Montreal, Departement de sciences economiques.
    28. BAUWENS, Luc & HAUTSCH, Nikolaus, 2006. "Modelling financial high frequency data using point processes," LIDAM Discussion Papers CORE 2006080, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    29. Fei Chen & Francis X. Diebold & Frank Schorfheide, 2012. "A Markov-Switching Multi-Fractal Inter-Trade Duration Model, with Application to U.S. Equities," NBER Working Papers 18078, National Bureau of Economic Research, Inc.
    30. Chun Liu & John M Maheu, 2010. "Intraday Dynamics of Volatility and Duration: Evidence from the Chinese Stock Market," Working Papers tecipa-401, University of Toronto, Department of Economics.
    31. Grammig, Joachim & Wellner, Marc, 1999. "Modeling the interdependence of volatility and inter-transaction duration processes," SFB 373 Discussion Papers 1999,21, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    32. BAUWENS, Luc & GALLI, Fausto & GIOT, Pierre, 2003. "The moments of Log-ACD models," LIDAM Discussion Papers CORE 2003011, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    33. Patrick Gagliardini & Christian Gourieroux, 2002. "Duration Time Series Models with Proportional Hazard," Working Papers 2002-21, Center for Research in Economics and Statistics.
    34. Wong, Woon K. & Tan, Dijun & Tian, Yixiang, 2009. "Informed trading and liquidity in the Shanghai Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 66-73, March.
    35. Stanislav Anatolyev & Dmitry Shakin, 2006. "Trade intensity in the Russian stock market:dynamics, distribution and determinants," Working Papers w0070, New Economic School (NES).
    36. Brendan P.M. McCabe & Gael Martin & Keith Freeland, 2010. "A Quasi-locally Most powerful Test for Correlation in the conditional Variance of Positive Data," Monash Econometrics and Business Statistics Working Papers 2/10, Monash University, Department of Econometrics and Business Statistics.
    37. Yiing Fei Tan & Kok Haur Ng & You Beng Koh & Shelton Peiris, 2022. "Modelling Trade Durations Using Dynamic Logarithmic Component ACD Model with Extended Generalised Inverse Gaussian Distribution," Mathematics, MDPI, vol. 10(10), pages 1-20, May.
    38. Jorge Pérez-Rodríguez & Emilio Gómez-Déniza & Simón Sosvilla-Rivero, 2019. "“Testing for private information using trade duration models with unobserved market heterogeneity: The case of Banco Popular”," IREA Working Papers 201907, University of Barcelona, Research Institute of Applied Economics, revised Apr 2019.
    39. Anthony Tay & Christopher Ting & Yiu Kuen Tse & Mitch Warachka, 2007. "Modeling Transaction Data of Trade Direction and Estimation of Probability of Informed Trading," Finance Working Papers 22483, East Asian Bureau of Economic Research.
    40. Hujer, Reinhard & Vuletic, Sandra, 2007. "Econometric analysis of financial trade processes by discrete mixture duration models," Journal of Economic Dynamics and Control, Elsevier, vol. 31(2), pages 635-667, February.
    41. Tina Hviid Rydberg & Neil Shephard, 2000. "BIN Models for Trade-by-Trade Data. Modelling the Number of Trades in a Fixed Interval of Time," Econometric Society World Congress 2000 Contributed Papers 0740, Econometric Society.
    42. Araichi, Sawssen & Peretti, Christian de & Belkacem, Lotfi, 2016. "Solvency capital requirement for a temporal dependent losses in insurance," Economic Modelling, Elsevier, vol. 58(C), pages 588-598.
    43. Fernandes, Marcelo & Grammig, Joachim, 2002. "A family of autoregressive conditional duration models," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 440, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    44. Denisa Georgiana Banulescu & Gilbert Colletaz & Christophe Hurlin & Sessi Tokpavi, 2013. "High-Frequency Risk Measures," Working Papers halshs-00859456, HAL.
    45. Roman Huptas, 2019. "Point forecasting of intraday volume using Bayesian autoregressive conditional volume models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 38(4), pages 293-310, July.
    46. Wei Sun & Svetlozar Rachev & Frank Fabozzi & Petko Kalev, 2008. "Fractals in trade duration: capturing long-range dependence and heavy tailedness in modeling trade duration," Annals of Finance, Springer, vol. 4(2), pages 217-241, March.
    47. Massimiliano Caporin & Eduardo Rossi & Paolo Santucci de Magistris, 2014. "Chasing volatility - A persistent multiplicative error model with jumps," CREATES Research Papers 2014-29, Department of Economics and Business Economics, Aarhus University.
    48. Dungey, Mardi & Jeyasreedharan, Nagaratnam & Li, Tuo, 2010. "Modelling the Time Between Trades in the After-Hours Electronic Equity Futures Market," Working Papers 10451, University of Tasmania, Tasmanian School of Business and Economics, revised 30 May 2012.
    49. Gao, Jiti & Kim, Nam Hyun & Saart, Patrick W., 2015. "A misspecification test for multiplicative error models of non-negative time series processes," Journal of Econometrics, Elsevier, vol. 189(2), pages 346-359.
    50. Dimitrakopoulos, Stefanos & Tsionas, Mike G. & Aknouche, Abdelhakim, 2020. "Ordinal-response models for irregularly spaced transactions: A forecasting exercise," MPRA Paper 103250, University Library of Munich, Germany, revised 01 Oct 2020.
    51. Yogo Purwono & Irwan Adi Ekaputra & Zaäfri Ananto Husodo, 2018. "Estimation of Dynamic Mixed Hitting Time Model Using Characteristic Function Based Moments," Computational Economics, Springer;Society for Computational Economics, vol. 51(2), pages 295-321, February.
    52. Caporin, Massimiliano & Rossi, Eduardo & Santucci de Magistris, Paolo, 2017. "Chasing volatility," Journal of Econometrics, Elsevier, vol. 198(1), pages 122-145.
    53. Strickland, Chris M. & Forbes, Catherine S. & Martin, Gael M., 2006. "Bayesian analysis of the stochastic conditional duration model," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2247-2267, May.
    54. Zhicheng Li & Haipeng Xing & Xinyun Chen, 2019. "A multifactor regime-switching model for inter-trade durations in the limit order market," Papers 1912.00764, arXiv.org.
    55. Liu, Chun & Maheu, John M., 2012. "Intraday dynamics of volatility and duration: Evidence from Chinese stocks," Pacific-Basin Finance Journal, Elsevier, vol. 20(3), pages 329-348.
    56. Patrick W Saart & Jiti Gao & Nam Hyun Kim, 2014. "Econometric Time Series Specification Testing in a Class of Multiplicative Error Models," Monash Econometrics and Business Statistics Working Papers 1/14, Monash University, Department of Econometrics and Business Statistics.
    57. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, November.
    58. Yongmiao Hong & Yoon-Jin Lee, 2007. "Detecting Misspecifications in Autoregressive Conditional Duration Models," CAEPR Working Papers 2007-019, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    59. Roman Huptas, 2014. "Bayesian Estimation and Prediction for ACD Models in the Analysis of Trade Durations from the Polish Stock Market," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 6(4), pages 237-273, December.
    60. Renault, Eric & van der Heijden, Thijs & Werker, Bas J.M., 2014. "The dynamic mixed hitting-time model for multiple transaction prices and times," Journal of Econometrics, Elsevier, vol. 180(2), pages 233-250.

  80. Christian Gourieroux & Olivier Scaillet & Ariane Szafarz, 1997. "Econométrie de la Finance: approches historiques," ULB Institutional Repository 2013/651, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. Marie Briere & Bastien Drut & Valérie Mignon & Kim Oosterlinck & Ariane Szafarz, 2012. "Is the Market Portfolio Efficient? A New Test of Mean-Variance Efficiency when All Assets Are Risky," Working Papers CEB 12-003, ULB -- Universite Libre de Bruxelles.
    2. Dhaoui, Elwardi, 2013. "What we have learnt from financial econometrics modeling?," MPRA Paper 63843, University Library of Munich, Germany.
    3. Marie Brière & Bastien Drut & Valérie Mignon & Kim Oosterlinck & Ariane Szafarz, 2011. "Is the Market Portfolio Efficient? A New Test to Revisit the Roll (1977) versus Levy and Roll (2010) Controversy," Working Papers hal-04140988, HAL.
    4. Christian Gourieroux & Gaëlle Le Fol, 1997. "Volatilités et mesures de risque," Post-Print halshs-00877048, HAL.
    5. E, Clement & Christian Gourieroux & Alain Monfort, 1997. "Econometric Specification of the Risk Neutral Valuation Model," Working Papers 97-33, Center for Research in Economics and Statistics.
    6. Gourieroux, Christian & Tiomo, A. & Trognon, A., 1997. "Composition des portefeuilles des ménages: une analyse scores sur données françaises," CEPREMAP Working Papers (Couverture Orange) 9716, CEPREMAP.
    7. Sylvie Lecarpentier-Moyal & Georges Prat & Patricia Renou-Maissant & Remzi Uctum, 2013. "Persistence of announcement effects on the intraday volatility of stock returns: evidence from individual data," Working Papers hal-04141172, HAL.

  81. Clément, E. & Gourieroux, Christian & Monfort, Alain, 1997. "Econometric specification of the risk neutral valuation model," CEPREMAP Working Papers (Couverture Orange) 9706, CEPREMAP.

    Cited by:

    1. G.C. Lim & G.M. Martin & V.L. Martin, 2002. "Parametric Pricing of Higher Order Moments in S&P500 Options," Monash Econometrics and Business Statistics Working Papers 1/02, Monash University, Department of Econometrics and Business Statistics.
    2. Bollerslev, Tim, 2001. "Financial econometrics: Past developments and future challenges," Journal of Econometrics, Elsevier, vol. 100(1), pages 41-51, January.
    3. Gourieroux, C. & Monfort, A., 2005. "The econometrics of efficient portfolios," Journal of Empirical Finance, Elsevier, vol. 12(1), pages 1-41, January.
    4. Lim, G.C. & Martin, G.M. & Martin, V.L., 2006. "Pricing currency options in the presence of time-varying volatility and non-normalities," Journal of Multinational Financial Management, Elsevier, vol. 16(3), pages 291-314, July.
    5. G.C. Lim & G.M. Martin & V.L. Martin, 2002. "Pricing Currency Options in Tranquil Markets: Modelling Volatility Frowns," Monash Econometrics and Business Statistics Working Papers 4/02, Monash University, Department of Econometrics and Business Statistics.

  82. Georges Dionne & Christian Gourieroux & Charles Vanasse, 1997. "The Informational Content of Household Decisions," Working Papers 97-01, Center for Research in Economics and Statistics.

    Cited by:

    1. Dionne, G. & Doherty, N., 1991. "Adverse Selection in Insurance Markets: a Selective Survey," Cahiers de recherche 9105, Universite de Montreal, Departement de sciences economiques.
    2. Yarmukhamedov, Sherzod, 2013. "Empirical analysis of moral hazard: a study of a vehicle insurance tax reform," Working papers in Transport Economics 2013:14, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    3. Spindler, M., 2014. "“They do know what they are doing ... at least most of them.†Asymmetric Information in the (private) Disability Insurance," Health, Econometrics and Data Group (HEDG) Working Papers 14/16, HEDG, c/o Department of Economics, University of York.
    4. Pierre-André Chiappori & Bernard Salanié, 2002. "Testing Contract Theory : A Survey of Some Recent Work," Working Papers 2002-11, Center for Research in Economics and Statistics.
    5. John E. Murray, 2011. "Asymmetric Information and Countermeasures in Early Twentieth‐Century American Short‐Term Disability Microinsurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 78(1), pages 117-138, March.
    6. Dionne, Georges & Michaud, Pierre-Carl & Pinquet, Jean, 2012. "A review of recent theoretical and empirical analyses of asymmetric information in road safety and automobile insurance," Working Papers 12-1, HEC Montreal, Canada Research Chair in Risk Management.
    7. Georges Dionne & Nathalie Fombaron & Neil Doherty, 2012. "Adverse Selection in Insurance Contracting," Cahiers de recherche 1231, CIRPEE.
    8. Chiappori, P.A. & Durand, F. & Geoffard, P.Y., 1998. "Moral Hazard and the Demand for Physician Services: First Lessons from a French Natural Experiment," DELTA Working Papers 98-05, DELTA (Ecole normale supérieure).
    9. Spindler, Martin, 2013. "“They do know what they are doing... at least most of them.†Asymmetric Information in the (private) Disability Insurance," MEA discussion paper series 201209, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    10. Dionne, Georges, 2012. "The empirical measure of information problems with emphasis on insurance fraud and dynamic data," Working Papers 12-10, HEC Montreal, Canada Research Chair in Risk Management.
    11. Gourieroux, Christian & Tiomo, A. & Trognon, A., 1997. "Composition des portefeuilles des ménages: une analyse scores sur données françaises," CEPREMAP Working Papers (Couverture Orange) 9716, CEPREMAP.
    12. Xiaoqi Zhang & Yi Chen & Yi Yao, 2021. "Dynamic information asymmetry in micro health insurance: implications for sustainability," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 46(3), pages 468-507, July.
    13. Pierre Picard & Kili Wang, 2015. "INSURANCE FRAUD THROUGH COLLUSION BETWEEN POLICYHOLDERS AND CAR DEALERS: THEORY AND EMPIRICAL EVIDENCE Pierre PICARD," Working Papers hal-01140590, HAL.

  83. Christian Gourieroux & A, Tiomo & Alain Trognon, 1997. "The Portfolio Composition of Households : A Scoring Analysis from French Data," Working Papers 97-06, Center for Research in Economics and Statistics.

    Cited by:

  84. Gourieroux, C. & Renault, E. & Touzi, N., 1996. "Calibrarion By Simulation for Small Sample Bias Correction," Papers 96.428, Toulouse - GREMAQ.

    Cited by:

    1. Mealli, Fabrizia & Rampichini, Carla, 1999. "Estimating binary multilevel models through indirect inference," Computational Statistics & Data Analysis, Elsevier, vol. 29(3), pages 313-324, January.
    2. Mardi Dungey & Vance L Martin & Adrian R Pagan, 2000. "A multivariate latent factor decomposition of international bond yield spreads," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 697-715.

  85. Gourieroux, Christian & Laurent, Jean-Paul & Pham, Huyên, 1996. "Mean-variance hedging and numeraire," CEPREMAP Working Papers (Couverture Orange) 9611, CEPREMAP.

    Cited by:

    1. Prigent, Jean-Luc & Renault, Olivier & Scaillet, Olivier, 2000. "An auto-regressive conditional binomial option pricing model," LSE Research Online Documents on Economics 119095, London School of Economics and Political Science, LSE Library.
    2. Liao Wang & Jin Yao & Xiaowei Zhang, 2022. "How Does Risk Hedging Impact Operations? Insights from a Price-Setting Newsvendor Model," Papers 2201.01026, arXiv.org, revised Jun 2023.
    3. Dorival Le~ao & Alberto Ohashi & Vinicius Siqueira, 2013. "A general Multidimensional Monte Carlo Approach for Dynamic Hedging under stochastic volatility," Papers 1308.1704, arXiv.org, revised Aug 2013.
    4. Leitner, Johannes, 2000. "Mean-Variance Efficiency and Intertemporal Price for Risk," CoFE Discussion Papers 00/35, University of Konstanz, Center of Finance and Econometrics (CoFE).
    5. Kohlmann, Michael & Tang, Shanjian, 2000. "Global Adapted Solution of One-Dimensional Backward Stochastic Riccati Equations, with Application to the Mean-Variance Hedging," CoFE Discussion Papers 00/26, University of Konstanz, Center of Finance and Econometrics (CoFE).
    6. Hirbod Assa & Nikolay Gospodinov, 2017. "A Robust Approach to Hedging and Pricing in Imperfect Markets," Risks, MDPI, vol. 5(3), pages 1-20, July.
    7. Kohlmann, Michael & Tang, Shanjian, 2000. "Recent Advances in Backward Stochastics Riccati Equations and Their Applications," CoFE Discussion Papers 00/30, University of Konstanz, Center of Finance and Econometrics (CoFE).
    8. M. Mania & R. Tevzadze, 2003. "Backward Stochastic PDE and Imperfect Hedging," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 6(07), pages 663-692.
    9. Liao Wang & Johannes Wissel, 2013. "Mean-variance hedging with oil futures," Finance and Stochastics, Springer, vol. 17(4), pages 641-683, October.
    10. George Bouzianis & Lane P. Hughston, 2020. "Optimal Hedging in Incomplete Markets," Papers 2006.12989, arXiv.org, revised Sep 2020.
    11. Stephane Goutte & Armand Ngoupeyou, 2012. "Optimization problem and mean variance hedging on defaultable claims," Papers 1209.5953, arXiv.org.
    12. Stéphane Goutte & Armand Ngoupeyou, 2015. "The use of BSDEs to characterize the mean–variance hedging problem and the variance optimal martingale measure for defaultable claims," Post-Print hal-02879222, HAL.
    13. Saeed Marzban & Erick Delage & Jonathan Yumeng Li, 2020. "Equal Risk Pricing and Hedging of Financial Derivatives with Convex Risk Measures," Papers 2002.02876, arXiv.org, revised Sep 2020.
    14. L. Carassus & E. Temam, 2014. "Pricing and hedging basis risk under no good deal assumption," Annals of Finance, Springer, vol. 10(1), pages 127-170, February.
    15. Claudio Fontana, 2015. "Weak And Strong No-Arbitrage Conditions For Continuous Financial Markets," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 1-34.
    16. Woll, Oliver, 2015. "Mean-risk hedging strategies in electricity markets with limited liquidity," ZEW Discussion Papers 15-056, ZEW - Leibniz Centre for European Economic Research.
    17. Kohlmann, Michael & Tang, Shanjian, 2002. "Global adapted solution of one-dimensional backward stochastic Riccati equations, with application to the mean-variance hedging," Stochastic Processes and their Applications, Elsevier, vol. 97(2), pages 255-288, February.
    18. Herdegen, Martin & Muhle-Karbe, Johannes, 2019. "Sensitivity of optimal consumption streams," Stochastic Processes and their Applications, Elsevier, vol. 129(6), pages 1964-1992.
    19. Michael Mania & Revaz Tevzadze, 2008. "Backward Stochastic PDEs Related to the Utility Maximization Problem," ICER Working Papers - Applied Mathematics Series 07-2008, ICER - International Centre for Economic Research.
    20. Anne Eyraud-Loisel, 2013. "Quadratic hedging in an incomplete market derived by an influent informed investor," Post-Print hal-00450949, HAL.
    21. Claudio Fontana, 2013. "Weak and strong no-arbitrage conditions for continuous financial markets," Papers 1302.7192, arXiv.org, revised May 2014.
    22. Kramkov, D. & Sîrbu, M., 2007. "Asymptotic analysis of utility-based hedging strategies for small number of contingent claims," Stochastic Processes and their Applications, Elsevier, vol. 117(11), pages 1606-1620, November.
    23. Thorsten Rheinländer & Jenny Sexton, 2011. "Hedging Derivatives," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 8062, January.
    24. Samuel Drapeau & Yunbo Zhang, 2019. "Pricing and Hedging Performance on Pegged FX Markets Based on a Regime Switching Model," Papers 1910.08344, arXiv.org, revised May 2020.
    25. Samuel Njoh, 2007. "Cross Hedging Within A Log Mean Reverting Model," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 10(05), pages 887-914.
    26. Mostovyi, Oleksii, 2020. "Asymptotic analysis of the expected utility maximization problem with respect to perturbations of the numéraire," Stochastic Processes and their Applications, Elsevier, vol. 130(7), pages 4444-4469.
    27. Wanyang Dai, 2014. "Mean-variance hedging based on an incomplete market with external risk factors of non-Gaussian OU processes," Papers 1410.0991, arXiv.org, revised Aug 2015.
    28. Kohlmann, Michael & Tang, Shanjian, 2000. "Multi-Dimensional Backward Stochastic Riccati Equations, and Applications," CoFE Discussion Papers 00/29, University of Konstanz, Center of Finance and Econometrics (CoFE).
    29. Vicky Henderson & David Hobson & Sam Howison & Tino Kluge, 2003. "A Comparison of q-optimal Option Prices in a Stochastic Volatility Model with Correlation," OFRC Working Papers Series 2003mf02, Oxford Financial Research Centre.

  86. Bossaerts, P. & Ghysels, E. & Gourieroux, C., 1996. "Arbitrage-Based Pricing when Volatility is Stochastic," Cahiers de recherche 9615, Centre interuniversitaire de recherche en économie quantitative, CIREQ.

    Cited by:

    1. Barone-Adesi, Giovanni & Fusari, Nicola & Mira, Antonietta & Sala, Carlo, 2020. "Option market trading activity and the estimation of the pricing kernel: A Bayesian approach," Journal of Econometrics, Elsevier, vol. 216(2), pages 430-449.
    2. German Rodikov & Nino Antulov-Fantulin, 2022. "Can LSTM outperform volatility-econometric models?," Papers 2202.11581, arXiv.org.
    3. Amigues, J-P & Favard, P. & Gaudet, G. & Moreaux, M, 1996. "On the Optimal Order of Natural Resource Use When the Capacity of the Inexhaustible Substitute is Limited," Cahiers de recherche 9628, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    4. Dias, Fabio S. & Peters, Gareth W., 2021. "Option pricing with polynomial chaos expansion stochastic bridge interpolators and signed path dependence," Applied Mathematics and Computation, Elsevier, vol. 411(C).
    5. Prigent, Jean-Luc & Renault, Olivier & Scaillet, Olivier, 2000. "An auto-regressive conditional binomial option pricing model," LSE Research Online Documents on Economics 119095, London School of Economics and Political Science, LSE Library.
    6. Cartea, Álvaro & Meyer-Brandis, Thilo, 2009. "How Duration Between Trades of Underlying Securities Affects Option Prices," MPRA Paper 16179, University Library of Munich, Germany.
    7. Solomon Abayomi Olakojo, 2020. "A Markov‐switching analysis of Nigeria's business cycles: Are election cycles important?," African Development Review, African Development Bank, vol. 32(1), pages 67-79, March.
    8. Benjamin Poignard & Manabu Asai, 2022. "High-Dimensional Sparse Multivariate Stochastic Volatility Models," Papers 2201.08584, arXiv.org, revised May 2022.
    9. Ahsan, Md. Nazmul & Dufour, Jean-Marie, 2021. "Simple estimators and inference for higher-order stochastic volatility models," Journal of Econometrics, Elsevier, vol. 224(1), pages 181-197.
    10. Bossaerts, Peter & Hillion, Pierre, 2003. "Local parametric analysis of derivatives pricing and hedging," Journal of Financial Markets, Elsevier, vol. 6(4), pages 573-605, August.
    11. Carmen Broto & Esther Ruiz, 2004. "Estimation methods for stochastic volatility models: a survey," Journal of Economic Surveys, Wiley Blackwell, vol. 18(5), pages 613-649, December.
    12. Juan Hoyo & Guillermo Llorente & Carlos Rivero, 2020. "A Testing Procedure for Constant Parameters in Stochastic Volatility Models," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 163-186, June.
    13. Isaenko, Sergey, 2023. "Trading strategies and the frequency of time-series," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 267-283.
    14. Izzeldin, Marwan & Muradoğlu, Yaz Gülnur & Pappas, Vasileios & Sivaprasad, Sheeja, 2021. "The impact of Covid-19 on G7 stock markets volatility: Evidence from a ST-HAR model," International Review of Financial Analysis, Elsevier, vol. 74(C).
    15. Liao, Wen Ju & Sung, Hao-Chang, 2020. "Implied risk aversion and pricing kernel in the FTSE 100 index," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).

  87. Breitung, Jörg & Gouriéroux, Christian, 1996. "Rank tests for unit roots," SFB 373 Discussion Papers 1996,9, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

    Cited by:

    1. Kramer, Walter & Davies, Laurie, 2002. "Testing for unit roots in the context of misspecified logarithmic random walks," Economics Letters, Elsevier, vol. 74(3), pages 313-319, February.
    2. Richard Luger, 2001. "Exact Non-Parametric Tests for a Random Walk with Unknown Drift under Conditional Heteroscedasticity," Staff Working Papers 01-2, Bank of Canada.
    3. Marc Hallin & Ramon van den Akker & Bas Werker, 2012. "Rank-Based Tests of the Cointegrating Rank in Semiparametric Error Correction Models," Working Papers ECARES ECARES 2012-042, ULB -- Universite Libre de Bruxelles.
    4. Hill, Jonathan B. & Aguilar, Mike, 2013. "Moment condition tests for heavy tailed time series," Journal of Econometrics, Elsevier, vol. 172(2), pages 255-274.
    5. Chen, Tsung-Yu & Chou, Pin-Huang & Ko, Kuan-Cheng & Rhee, S. Ghon, 2021. "Non-parametric momentum based on ranks and signs," Journal of Empirical Finance, Elsevier, vol. 60(C), pages 94-109.
    6. Hallin, M. & Werker, B.J.M. & van den Akker, R., 2015. "Optimal Pseudo-Gaussian and Rank-based Tests of the Cointegration Rank in Semiparametric Error-correction Models," Discussion Paper 2015-001, Tilburg University, Center for Economic Research.
    7. Breitung, Jorg, 2002. "Nonparametric tests for unit roots and cointegration," Journal of Econometrics, Elsevier, vol. 108(2), pages 343-363, June.
    8. Helmut Herwartz & Florian Siedenburg, 2010. "A New Approach to Unit Root Testing," Computational Economics, Springer;Society for Computational Economics, vol. 36(4), pages 365-384, December.
    9. Ibrahim Onour, "undated". "North Africa Stock Markets: Analysis of Unit Root and Long Memory Process," API-Working Paper Series 0906, Arab Planning Institute - Kuwait, Information Center.
    10. Donald J. Brown & Rustam Ibragimov, 2005. "Sign Tests for Dependent Observations and Bounds for Path-Dependent Options," Cowles Foundation Discussion Papers 1518, Cowles Foundation for Research in Economics, Yale University.
    11. Onour, Ibrahim, 2008. "Financial Integration of GCC Capital Markets:Evidence of Nonlinear Cointegration," MPRA Paper 15187, University Library of Munich, Germany.
    12. In Choi, 2014. "Unit root tests for dependent and heterogeneous micropanels," Working Papers 1404, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    13. V. A. Reisen & C. Lévy-Leduc & M. Bourguignon & H. Boistard, 2017. "Robust Dickey–Fuller tests based on ranks for time series with additive outliers," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 80(1), pages 115-131, January.
    14. Breitung, Jörg, 1998. "Rank tests for nonlinear cointegration," SFB 373 Discussion Papers 1998,65, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    15. Mohamed El Hedi Arouri & Jamel Jouini & Nhu Tuyen Le & Duc Khuong Nguyen, 2012. "On the Relationship between World Oil Prices and GCC Stock Markets," Journal of Quantitative Economics, The Indian Econometric Society, vol. 10(1), pages 98-120, January.
    16. Herwartz, Helmut & Siedenburg, Florian, 2009. "A new approach to unit root testing," Economics Working Papers 2009-06, Christian-Albrechts-University of Kiel, Department of Economics.
    17. Marc Hallin & Ramon van den Akker & Bas J.M. Werker, 2011. "A class of simple distribution-free rank-based unit root tests," Post-Print hal-00834424, HAL.
    18. Hallin, Marc & van den Akker, Ramon & Werker, Bas J.M., 2016. "Semiparametric error-correction models for cointegration with trends: Pseudo-Gaussian and optimal rank-based tests of the cointegration rank," Journal of Econometrics, Elsevier, vol. 190(1), pages 46-61.
    19. Aparicio, Felipe M. & Escribano, Álvaro, 2003. "Cointegration tests based on record counting statistics," DES - Working Papers. Statistics and Econometrics. WS ws036615, Universidad Carlos III de Madrid. Departamento de Estadística.
    20. Chin Wen Cheong & Ng Sew Lai & Nurul Afidah Mohmad Yusof & Khor Chia Ying, 2012. "Asymmetric Fractionally Integrated Volatility Modelling of Asian Equity Markets under the Subprime Mortgage Crisis," Journal of Quantitative Economics, The Indian Econometric Society, vol. 10(1), pages 70-84, January.
    21. Onour, Ibrahim, 2009. "Financial Integration of North Africa Stock Markets," MPRA Paper 14938, University Library of Munich, Germany.
    22. Andrew Davies, 2006. "Testing for international equity market integration using regime switching cointegration techniques," Review of Financial Economics, John Wiley & Sons, vol. 15(4), pages 305-321.
    23. Pelagatti, Matteo M. & Sen, Pranab K., 2013. "Rank tests for short memory stationarity," Journal of Econometrics, Elsevier, vol. 172(1), pages 90-105.
    24. Xiao‐Ming Li, 2006. "A Revisit Of International Stock Market Linkages: New Evidence From Rank Tests For Nonlinear Cointegration," Scottish Journal of Political Economy, Scottish Economic Society, vol. 53(2), pages 174-197, May.
    25. Aparicio, Felipe M., 2003. "On the record properties of integrated time series," DES - Working Papers. Statistics and Econometrics. WS ws036414, Universidad Carlos III de Madrid. Departamento de Estadística.
    26. Marc Hallin & Ramon van den Akker & Bas Werker, 2009. "A class of Simple Semiparametrically Efficient Rank-Based Unit Root Tests," Working Papers ECARES 2009_001, ULB -- Universite Libre de Bruxelles.
    27. Aparicio, Felipe M. & Escribano, Álvaro, 1998. "A characterization of cointegrating relationships using induced-order statistics," DES - Working Papers. Statistics and Econometrics. WS 10942, Universidad Carlos III de Madrid. Departamento de Estadística.
    28. Stergios B. Fotopoulos & Sung K. Ahn, 2003. "Rank Based Dickey–Fuller Test Statistics," Journal of Time Series Analysis, Wiley Blackwell, vol. 24(6), pages 647-662, November.
    29. Davies, Andrew, 2006. "Testing for international equity market integration using regime switching cointegration techniques," Review of Financial Economics, Elsevier, vol. 15(4), pages 305-321.
    30. Hallin, M. & van den Akker, R. & Werker, B.J.M., 2011. "A Class of Simple Distribution-free Rank-based Unit Root Tests (Revision of DP 2010-72)," Discussion Paper 2011-002, Tilburg University, Center for Economic Research.
    31. Aparicio, Felipe M. & Escribano, Álvaro & García, Ana, 2000. "Syncronicity between macroeconomic time series: an exploratory analysis," DES - Working Papers. Statistics and Econometrics. WS 9922, Universidad Carlos III de Madrid. Departamento de Estadística.
    32. Kenourgios, Dimitris & Samitas, Aristeidis, 2009. "Financial Market Dynamics in an Enlarged European Union," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 24, pages 197-221.
    33. Delgado, Miguel A. & Velasco, Carlos, 2005. "Sign tests for long-memory time series," Journal of Econometrics, Elsevier, vol. 128(2), pages 215-251, October.

  88. Eric Ghysels & Christian Gouriéroux & Joann Jasiak, 1996. "Kernel Autocorrelogram for Time Deformed Processes," CIRANO Working Papers 96s-19, CIRANO.

    Cited by:

    1. Christian Gourieroux & Gaëlle Le Fol, 1997. "Volatilités et mesures de risque," Post-Print halshs-00877048, HAL.

  89. Ghysels, E. & Gourieroux, C. & Jasiak, J., 1995. "Market Time and Asset Price Movements: Theory and Estimation," Cahiers de recherche 9536, Universite de Montreal, Departement de sciences economiques.

    Cited by:

    1. de Jong, F.C.J.M. & Nijman, T.E., 1995. "High frequency analysis of lead-lag relationships between financial markets," Discussion Paper 1995-34, Tilburg University, Center for Economic Research.
    2. Michel Baroni & Fabrice Barthélémy & Mahdi Mokrane, 2007. "Is it possible to construct derivatives for the Paris residential market?," THEMA Working Papers 2007-24, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    3. Eric Ghysels & Jean-Pierre Florens & Mikhail Chernov & Marine Carrasco, 2003. "Efficient Estimation of Jump Diffusions and General Dynamic Models with a Continuum of Moment Conditions," CIRANO Working Papers 2003s-02, CIRANO.
    4. Ghysels, E. & Jasiak, J., 1994. "Stochastic Volatility and time Deformation: An Application of trading Volume and Leverage Effects," Cahiers de recherche 9403, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    5. Helmut Herwartz, 2006. "Econometric analysis of high frequency data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 89-104, March.
    6. Bollerslev, T. & Ghysels, E., 1994. "Periodic Autoregressive Conditional Heteroskedasticity," Cahiers de recherche 9408, Universite de Montreal, Departement de sciences economiques.
    7. Amigues, J-P & Favard, P. & Gaudet, G. & Moreaux, M, 1996. "On the Optimal Order of Natural Resource Use When the Capacity of the Inexhaustible Substitute is Limited," Cahiers de recherche 9628, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    8. GHYSELS, Eric & HARVEY, Andrew & RENAULT, Eric, 1995. "Stochastic Volatility," LIDAM Discussion Papers CORE 1995069, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    9. Christian Gourieroux & Gaëlle Le Fol, 1997. "Volatilités et mesures de risque," Post-Print halshs-00877048, HAL.
    10. Joel Hasbrouck, 1999. "Trading Fast and Slow: Security Market Events in Real Time," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-012, New York University, Leonard N. Stern School of Business-.
    11. Mouna Cherkaoui & Eric Ghysels, 1999. "Emerging Markets and Trading Costs," CIRANO Working Papers 99s-04, CIRANO.
    12. A. Saichev & D. Sornette, 2014. "A simple microstructure return model explaining microstructure noise and Epps effects," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 25(06), pages 1-36.
    13. Laurent-Emmanuel Calvet & Benoît B. Mandelbrot & Adlai J. Fisher, 2011. "A Multifractal Model of Asset Returns," Working Papers hal-00601870, HAL.
    14. Eric Ghysels & Joann Jasiak, 1997. "GARCH for Irregularly Spaced Data: The ACD-GARCH Model," CIRANO Working Papers 97s-06, CIRANO.
    15. Cayetano, Gea, 2007. "Studying the Properties of the Correlation Trades," MPRA Paper 22318, University Library of Munich, Germany.
    16. Eric Ghysels & Christian Gouriéroux & Joann Jasiak, 1995. "Trading Patterns, Time Deformation and Stochastic Volatility in Foreign Exchange Markets," CIRANO Working Papers 95s-42, CIRANO.
    17. Eric M. Aldrich & Indra Heckenbach & Gregory Laughlin, 2014. "A Compound Multifractal Model for High-Frequency Asset Returns," BYU Macroeconomics and Computational Laboratory Working Paper Series 2014-05, Brigham Young University, Department of Economics, BYU Macroeconomics and Computational Laboratory.
    18. Touhami, A. & Martens, A., 1996. "Macroemesures in Computable General Equilibrium Models: a Probabilistic Treatment with an Application to Morocco," Cahiers de recherche 9621, Universite de Montreal, Departement de sciences economiques.
    19. J. Jimenez & R. Biscay & T. Ozaki, 2005. "Inference Methods for Discretely Observed Continuous-Time Stochastic Volatility Models: A Commented Overview," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 12(2), pages 109-141, June.
    20. René Garcia & Eric Ghysels & Eric Renault, 2004. "The Econometrics of Option Pricing," CIRANO Working Papers 2004s-04, CIRANO.
    21. Adlai Fisher & Laurent Calvet & Benoit Mandelbrot, 1997. "Multifractality of Deutschemark/US Dollar Exchange Rates," Cowles Foundation Discussion Papers 1166, Cowles Foundation for Research in Economics, Yale University.

  90. Laurence Broze & Christian Gourieroux & Ariane Szafarz, 1995. "Solutions of Multivariate Rational Expectations Models," ULB Institutional Repository 2013/701, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. Ariane Szafarz, 2015. "Market Efficiency and Crises: Don’t Throw the Baby out with the Bathwater," ULB Institutional Repository 2013/239874, ULB -- Universite Libre de Bruxelles.
    2. Christian Gouriéroux & Joann Jasiak & Alain Monfort, 2016. "Stationary Bubble Equilibria in Rational Expectation Models," Working Papers 2016-31, Center for Research in Economics and Statistics.
    3. Jones, John Bailey, 2002. "Has fiscal policy helped stabilize the postwar U.S. economy?," Journal of Monetary Economics, Elsevier, vol. 49(4), pages 709-746, May.
    4. John Bailey Jones & Sohini Sahu, 2017. "Transition accounting for India in a multi-sector dynamic general equilibrium model," Economic Change and Restructuring, Springer, vol. 50(4), pages 299-339, November.
    5. Majid M. Al-Sadoon, 2016. "The Linear Systems Approach to Linear Rational Expectations Models," Working Papers 875, Barcelona School of Economics.
    6. Ariane Szafarz, 2009. "How Did Financial-Crisis-Based Criticisms of Market Efficiency Get It So Wrong?," Working Papers CEB 09-048.RS, ULB -- Universite Libre de Bruxelles.
    7. Onatski, Alexei, 2006. "Winding number criterion for existence and uniqueness of equilibrium in linear rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 30(2), pages 323-345, February.
    8. Binder, Michael & Pesaran, Hashem, 2000. "Solution of finite-horizon multivariate linear rational expectations models and sparse linear systems," Journal of Economic Dynamics and Control, Elsevier, vol. 24(3), pages 325-346, March.
    9. Bernd Funovits, 2014. "Implications of Stochastic Singularity in Linear Multivariate Rational Expectations Models," Vienna Economics Papers vie1405, University of Vienna, Department of Economics.
    10. Gary S. Anderson, 2006. "Solving linear rational expectations models: a horse race," Finance and Economics Discussion Series 2006-26, Board of Governors of the Federal Reserve System (U.S.).
    11. Bernd Funovits, 2020. "The Dimension of the Set of Causal Solutions of Linear Multivariate Rational Expectations Models," Papers 2002.04369, arXiv.org.
    12. John G. Thistle, 2018. "The Origin and the Resolution of Nonuniqueness in Linear Rational Expectations," Papers 1806.06657, arXiv.org, revised Apr 2019.
    13. Zadrozny, Peter A., 1998. "An eigenvalue method of undetermined coefficients for solving linear rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1353-1373, August.
    14. Timmermann, Allan, 1995. "Cointegration Tests of Present Value Models with a Time-Varying Discount Factor," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(1), pages 17-31, Jan.-Marc.
    15. Tan, Fei & Walker, Todd B., 2015. "Solving generalized multivariate linear rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 60(C), pages 95-111.
    16. Majid M. Al-Sadoon, 2020. "The Spectral Approach to Linear Rational Expectations Models," Papers 2007.13804, arXiv.org, revised Jun 2023.

  91. Eric Ghysels & Christian Gouriéroux & Joann Jasiak, 1995. "Trading Patterns, Time Deformation and Stochastic Volatility in Foreign Exchange Markets," CIRANO Working Papers 95s-42, CIRANO.

    Cited by:

    1. Ghysels, E. & Jasiak, J., 1994. "Stochastic Volatility and time Deformation: An Application of trading Volume and Leverage Effects," Cahiers de recherche 9403, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    2. Weihua Shi & Cheng-Few Lee, 2008. "Volatility Persistence of High-Frequency Returns in the Japanese Government Bond Futures Market," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 11(04), pages 511-530.
    3. Kunst, Robert M. & Franses, Philip Hans, 2010. "Asymmetric Time Aggregation and its Potential Benefits for Forecasting Annual Data," Economics Series 252, Institute for Advanced Studies.
    4. GHYSELS, Eric & HARVEY, Andrew & RENAULT, Eric, 1995. "Stochastic Volatility," LIDAM Discussion Papers CORE 1995069, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    5. Ghysels, E. & Gourieroux, C. & Jasiak, J., 1995. "Market Time and Asset Price Movements: Theory and Estimation," Cahiers de recherche 9536, Universite de Montreal, Departement de sciences economiques.
    6. Eisler, Z. & Kertész, J., 2004. "Multifractal model of asset returns with leverage effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 343(C), pages 603-622.
    7. Alfonso Dufour & Robert F Engle, 2000. "The ACD Model: Predictability of the Time Between Concecutive Trades," ICMA Centre Discussion Papers in Finance icma-dp2000-05, Henley Business School, University of Reading.
    8. A. Saichev & D. Sornette, 2014. "A simple microstructure return model explaining microstructure noise and Epps effects," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 25(06), pages 1-36.
    9. Laurent-Emmanuel Calvet & Benoît B. Mandelbrot & Adlai J. Fisher, 2011. "A Multifractal Model of Asset Returns," Working Papers hal-00601870, HAL.
    10. Andersen, Torben G & Bollerslev, Tim, 1997. "Heterogeneous Information Arrivals and Return Volatility Dynamics: Uncovering the Long-Run in High Frequency Returns," Journal of Finance, American Finance Association, vol. 52(3), pages 975-1005, July.
    11. Eric Ghysels & Joann Jasiak, 1997. "GARCH for Irregularly Spaced Data: The ACD-GARCH Model," CIRANO Working Papers 97s-06, CIRANO.
    12. Goodhart, Charles A. E. & O'Hara, Maureen, 1997. "High frequency data in financial markets: Issues and applications," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 73-114, June.
    13. Robert F. Engle, 2000. "The Econometrics of Ultra-High Frequency Data," Econometrica, Econometric Society, vol. 68(1), pages 1-22, January.
    14. Jérôme Fillol, 2003. "Multifractality: Theory and Evidence an Application to the French Stock Market," Economics Bulletin, AccessEcon, vol. 3(31), pages 1-12.
    15. Adlai Fisher & Laurent Calvet & Benoit Mandelbrot, 1997. "Multifractality of Deutschemark/US Dollar Exchange Rates," Cowles Foundation Discussion Papers 1166, Cowles Foundation for Research in Economics, Yale University.

  92. Gouriéroux, Christian & Jouneau, F., 1994. "Multivariate distributions for limited dependent variable models," CEPREMAP Working Papers (Couverture Orange) 9414, CEPREMAP.

    Cited by:

    1. Dewar, Diane M., 1998. "Do those with more formal education have better health insurance opportunities?," Economics of Education Review, Elsevier, vol. 17(3), pages 267-277, June.

  93. Gouriéroux, Christian & Monfort, Alain & Tenreiro, Carlos, 1994. "Kernel m-estimators : non parametric diagnostics for structural models," CEPREMAP Working Papers (Couverture Orange) 9405, CEPREMAP.

    Cited by:

    1. Gouriéroux, Christian, 1994. "Modèles économétriques : utilisation et interprétation (les)," CEPREMAP Working Papers (Couverture Orange) 9423, CEPREMAP.
    2. Gouriéroux, Christian & Scaillet, O., 1994. "Estimation of the term structure from bond data," CEPREMAP Working Papers (Couverture Orange) 9415, CEPREMAP.

  94. Gouriéroux, Christian & Monfort, Alain, 1994. "Testing, encompassing and simulating dynamic econometric models," CEPREMAP Working Papers (Couverture Orange) 9406, CEPREMAP.

    Cited by:

    1. Wieland, Volker & Coenen, Günter, 2000. "A small estimated euro area model with rational expectations and nominal rigidities," Working Paper Series 30, European Central Bank.
    2. Dhaene, Geert & Scaillet, Olivier, 2000. "Reversed Score and Likelihood Ratio Tests," LIDAM Discussion Papers IRES 2000026, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    3. Neil R. Ericsson, 2008. "The fragility of sensitivity analysis: an encompassing perspective," International Finance Discussion Papers 959, Board of Governors of the Federal Reserve System (U.S.).
    4. Massimiliano Marcellino & Barbara Rossi, 2008. "Model Selection for Nested and Overlapping Nonlinear, Dynamic and Possibly Mis‐specified Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(s1), pages 867-893, December.
    5. Zhipeng Liao & Xiaoxia Shi, 2020. "A nondegenerate Vuong test and post selection confidence intervals for semi/nonparametric models," Quantitative Economics, Econometric Society, vol. 11(3), pages 983-1017, July.
    6. Dridi, Ramdan & Renault, Eric, 2000. "Semi-parametric indirect inference," LSE Research Online Documents on Economics 6864, London School of Economics and Political Science, LSE Library.
    7. Alain Guay & Olivier Scaillet, 1999. "Indirect Inference, Nuisance Parameter and Threshold Moving Average," Cahiers de recherche CREFE / CREFE Working Papers 95, CREFE, Université du Québec à Montréal.
    8. Gunter Coenen & Volker Wieland, 2000. "A Simple Estimated Euro Area Model With Rational Expectations And Nominal Rigidities," Computing in Economics and Finance 2000 187, Society for Computational Economics.
    9. Dridi, Ramdan & Guay, Alain & Renault, Eric, 2007. "Indirect inference and calibration of dynamic stochastic general equilibrium models," Journal of Econometrics, Elsevier, vol. 136(2), pages 397-430, February.
    10. Ramdan Dridi, 2000. "Simulated Asymptotic Least Squares Theory," STICERD - Econometrics Paper Series 396, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    11. Jang, Tae-Seok, 2012. "Structural estimation of the New-Keynesian model: A formal test of backward- and forward-looking behavior," Economics Working Papers 2012-07, Christian-Albrechts-University of Kiel, Department of Economics.
    12. Lapenta, Elia & Lavergne, Pascal, 2022. "Encompassing Tests for Nonparametric Regressions," TSE Working Papers 22-1332, Toulouse School of Economics (TSE).
    13. Xiaoxia Shi, 2015. "A nondegenerate Vuong test," Quantitative Economics, Econometric Society, vol. 6(1), pages 85-121, March.
    14. Gouriéroux, Christian, 1994. "Modèles économétriques : utilisation et interprétation (les)," CEPREMAP Working Papers (Couverture Orange) 9423, CEPREMAP.
    15. Jang, Tae-Seok, 2012. "Structural estimation of the New-Keynesian Model: a formal test of backward- and forward-looking expectations," MPRA Paper 39669, University Library of Munich, Germany.
    16. Dridi, Ramdan, 2000. "Simulated asymptotic least squares theory," LSE Research Online Documents on Economics 6861, London School of Economics and Political Science, LSE Library.
    17. Vadim Marmer, 2012. "Linear processes: properties and asymptotic results (in Russian)," Quantile, Quantile, issue 10, pages 33-56, December.
    18. Steven Cook, 2005. "On the semantic approach to econometric methodology," Journal of Economic Methodology, Taylor & Francis Journals, vol. 12(1), pages 117-123.
    19. Elia Lapenta & Pascal Lavergne, 2022. "Encompassing Tests for Nonparametric Regressions," Papers 2203.06685, arXiv.org, revised Oct 2023.
    20. Gourieroux, Christian & Jasiak, Joann, 2018. "Misspecification of noncausal order in autoregressive processes," Journal of Econometrics, Elsevier, vol. 205(1), pages 226-248.
    21. Jang, Tae-Seok, 2012. "Structural estimation of the New-Keynesian Model: a formal test of backward- and forward-looking expectations," MPRA Paper 40278, University Library of Munich, Germany.
    22. Jin, Fei & Lee, Lung-fei, 2013. "Cox-type tests for competing spatial autoregressive models with spatial autoregressive disturbances," Regional Science and Urban Economics, Elsevier, vol. 43(4), pages 590-616.

  95. Gouriéroux, Christian & Scaillet, O., 1994. "Estimation of the term structure from bond data," CEPREMAP Working Papers (Couverture Orange) 9415, CEPREMAP.

    Cited by:

    1. Ghysels, E. & Ng, S., 1996. "A Semi-Parametric Factor Model for Interest Rates," Cahiers de recherche 9612, Universite de Montreal, Departement de sciences economiques.
    2. Bossaerts, P.L.M. & Hillion, P., 1995. "Local Parametric Analysis of Hedging in Discrete Time," Discussion Paper 1995-23, Tilburg University, Center for Economic Research.
    3. GHYSELS, Eric & HARVEY, Andrew & RENAULT, Eric, 1995. "Stochastic Volatility," LIDAM Discussion Papers CORE 1995069, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Emmanuelle Clément & Christian Gourieroux & Alain Monfort, 1995. "Linear Factor Models and the Term Structure of Interest Rates," Annals of Economics and Statistics, GENES, issue 40, pages 37-65.
    5. Laurence Broze & Olivier Scaillet & Jean-Michel Zakoïan & Claude Jessua, 1996. "Estimation de modèles de la structure par terme des taux d'intérêt," Revue Économique, Programme National Persée, vol. 47(3), pages 511-519.
    6. Schotman, Peter, 1996. "A Bayesian approach to the empirical valuation of bond options," Journal of Econometrics, Elsevier, vol. 75(1), pages 183-215, November.
    7. Pagan, Adrian, 1996. "The econometrics of financial markets," Journal of Empirical Finance, Elsevier, vol. 3(1), pages 15-102, May.

  96. BROZE, Laurence & GOURIEROUX , Christian, 1993. "Covariance Estimators and Adjusted Pseudo Maximum Likelihood Method," LIDAM Discussion Papers CORE 1993013, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Broze, Laurence & Gourieroux, Christian, 1998. "Pseudo-maximum likelihood method, adjusted pseudo-maximum likelihood method and covariance estimators," Journal of Econometrics, Elsevier, vol. 85(1), pages 75-98, July.

  97. Gouriéroux, Christian & Peaucelle, Irina, 1993. "Agrégation de dynamiques de prix et modèles à facteurs à coefficients stochastiques," CEPREMAP Working Papers (Couverture Orange) 9326, CEPREMAP.

    Cited by:

    1. Peaucelle, Irina, 1996. "Prévisions de court terme pour analyser les réformes en Russie (les)," CEPREMAP Working Papers (Couverture Orange) 9610, CEPREMAP.

  98. Gourieroux, C. & Monfort, A. & Renault, E., 1992. "Indirect Inference," Papers 92.279, Toulouse - GREMAQ.

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    1. Pieter J. van der Sluis, 1997. "Post-Sample Prediction Tests for the Efficient Method of Moments," Tinbergen Institute Discussion Papers 97-054/4, Tinbergen Institute.
    2. Saraswata Chaudhuriy & David T. Frazierz & Eric Renault, 2016. "Indirect Inference with Endogenously Missing Exogenous Variables," CIRANO Working Papers 2016s-15, CIRANO.
    3. Ríos-Rull, José-Víctor & Schorfheide, Frank & Fuentes-Albero, Cristina & Kryshko, Maxym & Santaeulàlia-Llopis, Raül, 2012. "Methods versus substance: Measuring the effects of technology shocks," Journal of Monetary Economics, Elsevier, vol. 59(8), pages 826-846.
    4. Chéron, Arnaud & Hairault, Jean-Olivier & Langot, François, 2004. "Labor Market Institutions and the Employment-Productivity Trade-Off: A Wage Posting Approach," IZA Discussion Papers 1364, Institute of Labor Economics (IZA).
    5. Jessica Foo & Lek-Heng Lim & Ken Sze-Wai Wong, 2017. "Macroeconomics and FinTech: Uncovering Latent Macroeconomic Effects on Peer-to-Peer Lending," Papers 1710.11283, arXiv.org.
    6. Peter Fuleky & Eric Zivot, 2010. "Indirect Inference Based on the Score," Working Papers UWEC-2010-08, University of Washington, Department of Economics.
    7. Rasmus Lentz & Dale T. Mortensen, 2005. "An Empirical Model of Growth Through Product Innovation," CAM Working Papers 2005-13, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    8. Marmer, Vadim & Otsu, Taisuke, 2008. "Optimal Comparison of Misspecified Moment Restriction Models under a Chosen Measure of Fit," Microeconomics.ca working papers vadim_marmer-2008-13, Vancouver School of Economics, revised 25 Jul 2011.
    9. Emi Nakamura & Dawit Zerom, 2009. "Accounting for Incomplete Pass-Through," NBER Working Papers 15255, National Bureau of Economic Research, Inc.
    10. Vermeulen, Philip, 2006. "Employment stickiness in small manufacturing firms," Working Paper Series 640, European Central Bank.
    11. Dr Justin van de Ven, 2013. "The influence of decision costs on investments in Individual Savings Accounts," National Institute of Economic and Social Research (NIESR) Discussion Papers 407, National Institute of Economic and Social Research.
    12. Vo Le & David Meenagh & Patrick Minford & Michael Wickens, 2010. "Two Orthogonal Continents? Testing a Two-country DSGE Model of the US and the EU Using Indirect Inference," Open Economies Review, Springer, vol. 21(1), pages 23-44, February.
    13. Jonathan Goyette & Giovanni Gallipoli, 2012. "Distortions, Efficiency and the Size Distribution of Firms," Cahiers de recherche 12-06, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    14. Gallant, A. Ronald & Hsieh, David & Tauchen, George, 1995. "Estimation of Stochastic Volatility Models with Diagnostics," Working Papers 95-36, Duke University, Department of Economics.
    15. Christian Bayer & Falko Juessen, 2012. "On the Dynamics of Interstate Migration: Migration Costs and Self-Selection," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 15(3), pages 377-401, July.
    16. Ronni Pavan, 2010. "The Role of Career Choice in Understanding Job Mobility," LABOUR, CEIS, vol. 24(2), pages 107-127, June.
    17. Lombardi, Marco J. & Calzolari, Giorgio, 2009. "Indirect estimation of [alpha]-stable stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2298-2308, April.
    18. Nigel Wilkins, 2004. "Indirect Estimation of Long Memory Volatility Models," Econometric Society 2004 Far Eastern Meetings 459, Econometric Society.
    19. Minford, Patrick & Dai, Li & Zhou, Peng, 2014. "A DSGE Model of China," CEPR Discussion Papers 10238, C.E.P.R. Discussion Papers.
    20. Drew Creal & Siem Jan Koopman & André Lucas & Marcin Zamojski, 2015. "Generalized Autoregressive Method of Moments," Tinbergen Institute Discussion Papers 15-138/III, Tinbergen Institute, revised 06 Jul 2018.
    21. Simões, Oscar R. & Marçal, Emerson Fernandes, 2012. "Agregação temporal e não-linearidade afetam os testes da paridade do poder de compra: Evidência a partir de dados brasileiros," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 66(3), October.
    22. Davide La Vecchia & Fabio Trojani, 2008. "Infinitesimal Robustness for Diffusions," University of St. Gallen Department of Economics working paper series 2008 2008-09, Department of Economics, University of St. Gallen.
    23. Jun Yu & Zhenlin Yang & Xibin Zhang, 2002. "A Class of Nonlinear Stochastic Volatility Models and Its Implications on Pricing Currency Options," Monash Econometrics and Business Statistics Working Papers 17/02, Monash University, Department of Econometrics and Business Statistics.
    24. Mark Broadie & Jérôme Detemple & Eric Ghysels & Olivier Torrès, 1996. "Nonparametric Estimation of American Options Exercise Boundaries and Call Prices," CIRANO Working Papers 96s-24, CIRANO.
    25. François Gourio & Nicolas A. Roys, 2012. "Size-Dependent Regulations, Firm Size Distribution, and Reallocation," NBER Working Papers 18657, National Bureau of Economic Research, Inc.
    26. Sentana, Enrique & Fiorentini, Gabriele, 2018. "Specification tests for non-Gaussian maximum likelihood estimators," CEPR Discussion Papers 12934, C.E.P.R. Discussion Papers.
    27. Kenneth W. Clements & Renee Fry, 2006. "Commodity Currencies And Currency Commodities," CAMA Working Papers 2006-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    28. Sentana, Enrique & Calzolari, Giorgio & Fiorentini, Gabriele, 2008. "Indirect estimation of large conditionally heteroskedastic factor models, with an application to the Dow 30 stocks," Journal of Econometrics, Elsevier, vol. 146(1), pages 10-25, September.
    29. Minford, Patrick & Ou, Zhirong, 2009. "Taylor Rule or Optimal Timeless Policy? Reconsidering the Fed's behaviour since 1982," Cardiff Economics Working Papers E2009/19, Cardiff University, Cardiff Business School, Economics Section, revised May 2010.
    30. Minford, Patrick & Ou, Zhirong & Wickens, Michael & Zhu, Zheyi, 2022. "The eurozone: What is to be done to maintain macro and financial stability?," Journal of Financial Stability, Elsevier, vol. 63(C).
    31. Launov, Andrey & Wälde, Klaus, 2016. "The employment effect of reforming a public employment agency," European Economic Review, Elsevier, vol. 84(C), pages 140-164.
    32. Le, Vo Phuong Mai & Matthews, Kent & Meenagh, David & Minford, Patrick & Xiao, Zhigui, 2013. "Banking and the Macroeconomy in China: A Banking Crisis Deferred?," Cardiff Economics Working Papers E2013/5, Cardiff University, Cardiff Business School, Economics Section.
    33. Carrasco, Marine & Florens, Jean-Pierre, 2014. "On The Asymptotic Efficiency Of Gmm," Econometric Theory, Cambridge University Press, vol. 30(2), pages 372-406, April.
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    35. Liu, Chunping & Minford, Patrick, 2012. "Comparing behavioural and rational expectations for the US post-war economy," Cardiff Economics Working Papers E2012/21, Cardiff University, Cardiff Business School, Economics Section.
    36. Chumacero Rómulo A., 2001. "Estimating ARMA Models Efficiently," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 5(2), pages 1-14, July.
    37. Chéron, Arnaud & Hairault, Jean-Olivier & Langot, François, 2008. "A quantitative evaluation of payroll tax subsidies for low-wage workers: An equilibrium search approach," Journal of Public Economics, Elsevier, vol. 92(3-4), pages 817-843, April.
    38. Haan, Peter & Prowse, Victoria, 2012. "Longevity, life-cycle behavior and pension reform," MPRA Paper 39282, University Library of Munich, Germany.
    39. Gabriele Fiorentini & Angel León & Gonzalo Rubio, "undated". "Short-term options with stochastic volatility: Estimation and empirical performance," Studies on the Spanish Economy 02, FEDEA.
    40. Amine Ouazad & Matthew E. Kahn, 2019. "Mortgage Finance and Climate Change: Securitization Dynamics in the Aftermath of Natural Disasters," NBER Working Papers 26322, National Bureau of Economic Research, Inc.
    41. Karamé, Frédéric & Patureau, Lise & Sopraseuth, Thepthida, 2008. "Limited participation and exchange rate dynamics: Does theory meet the data?," Journal of Economic Dynamics and Control, Elsevier, vol. 32(4), pages 1041-1087, April.
    42. Eric Ghysels & Jean-Pierre Florens & Mikhail Chernov & Marine Carrasco, 2003. "Efficient Estimation of Jump Diffusions and General Dynamic Models with a Continuum of Moment Conditions," CIRANO Working Papers 2003s-02, CIRANO.
    43. Otero, Karina V., 2016. "Intensity of default in sovereign bonds: Estimation of an unobservable process," MPRA Paper 86782, University Library of Munich, Germany.
    44. Wieland, Volker & Coenen, Günter, 2000. "A small estimated euro area model with rational expectations and nominal rigidities," Working Paper Series 30, European Central Bank.
    45. Torben G. Andersen & Hyung-Jin Chung & Bent E. Sorensen, "undated". "EMM Estimation of a Stochastic Volatility Model: A Monte Carlo Study," Computing in Economics and Finance 1997 6, Society for Computational Economics.
    46. Martin Fukac & Adrian Pagan, 2010. "Limited information estimation and evaluation of DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 55-70.
    47. Gil-Bazo, Javier & Rubio, Gonzalo, 2001. "A nonparametric dimension test of the term structure," DEE - Working Papers. Business Economics. WB wb012106, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    48. Antonis Demos, 2002. "Moments and dynamic structure of a time-varying parameter stochastic volatility in mean model," Econometrics Journal, Royal Economic Society, vol. 5(2), pages 345-357, June.
    49. Artuç, Erhan & Demiralp, Selva, 2010. "Discount window borrowing after 2003: The explicit reduction in implicit costs," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 825-833, April.
    50. Shaun Bond & Mardi Dungey & Renée Fry, 2006. "A Web Of Shocks: Crises Across Asian Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 32(3), pages 253-274, May.
    51. Vo, Minh, 2011. "Oil and stock market volatility: A multivariate stochastic volatility perspective," Energy Economics, Elsevier, vol. 33(5), pages 956-965, September.
    52. Martin Browning & Mette Ejrnæs & Javier Alvarez, 2010. "Modelling Income Processes with Lots of Heterogeneity," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(4), pages 1353-1381.
    53. Corradi, Valentina & Distaso, Walter & Mele, Antonio, 2013. "Macroeconomic determinants of stock volatility and volatility premiums," Journal of Monetary Economics, Elsevier, vol. 60(2), pages 203-220.
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    56. Li, Tong, 2010. "Indirect inference in structural econometric models," Journal of Econometrics, Elsevier, vol. 157(1), pages 120-128, July.
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    59. Richiardi, Matteo & Bronka, Patryk & van de Ven, Justin & Kopasker, Daniel & Vittal Katikireddi, Srinivasa, 2023. "SimPaths: an open-source microsimulation model for life course analysis," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA6/23, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
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    61. Eric Ghysels & Lynda Khalaf & Cosmé Vodounou, 2003. "Simulation Based Inference In Moving Average Models," Annals of Economics and Statistics, GENES, issue 69, pages 85-99.
    62. Pieter Gautier & Paul Muller & Bas van der Klaauw, & Michael Rosholm & Michael Svarer, 2012. "Estimating Equilibrium Effects of Job Search Assistance," Economics Working Papers 2012-27, Department of Economics and Business Economics, Aarhus University.
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    65. Bossaerts, P.L.M. & Hillion, P., 1995. "Local Parametric Analysis of Hedging in Discrete Time," Discussion Paper 1995-23, Tilburg University, Center for Economic Research.
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    2. Kruiniger, Hugo, 2000. "On the solution of the linear rational expectations model with multiple lags," Journal of Economic Dynamics and Control, Elsevier, vol. 24(4), pages 535-559, April.

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    1. Ng, S., 1995. "Looking for Evidence of Speculative Stockholding in Commodity Markets," Cahiers de recherche 9514, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    2. John M. Maheu & Thomas McCurdy, 2001. "Nonlinear Features of Realized FX Volatility," CIRANO Working Papers 2001s-42, CIRANO.
    3. Gouriéroux, Christian & Monfort, Alain & Tenreiro, Carlos, 1994. "Kernel m-estimators : non parametric diagnostics for structural models," CEPREMAP Working Papers (Couverture Orange) 9405, CEPREMAP.
    4. Altissimo, Filippo & Violante, Giovanni, 2000. "The Nonlinear Dynamics of Output and Unemployment in the US," CEPR Discussion Papers 2475, C.E.P.R. Discussion Papers.
    5. Juan Manuel Julio & Norberto Rodríguez & Hector Zárate, 2005. "Estimating the COP Exchange Rate Volatility Smile and the Market Effect of Central Bank Interventions: A CHARN Approach," Borradores de Economia 347, Banco de la Republica de Colombia.
    6. Comte, F. & Rozenholc, Y., 2002. "Adaptive estimation of mean and volatility functions in (auto-)regressive models," Stochastic Processes and their Applications, Elsevier, vol. 97(1), pages 111-145, January.
    7. ROCKINGER, Michael & JONDEAU, Eric, 2001. "Conditional dependency of financial series : an application of copulas," HEC Research Papers Series 723, HEC Paris.
    8. Kane, Alex & Lehmann, Bruce N. & Trippi, Robert R., 2000. "Regularities in volatility and the price of risk following large stock market movements in the US and Japan," Journal of International Money and Finance, Elsevier, vol. 19(1), pages 1-32, February.
    9. Cathy W. S. Chen & Mike K. P. So & Ming-Tien Chen, 2005. "A Bayesian threshold nonlinearity test for financial time series," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(1), pages 61-75.
    10. Gonzalo Cortazar & Alejandro Bernales & Diether Beuermann, 2005. "Methodology and Implementation of Value-at-Risk Measures in Emerging Fixed-Income Markets with Infrequent Trading," Finance 0512030, University Library of Munich, Germany.
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    61. Liu, Ming, 2000. "Modeling long memory in stock market volatility," Journal of Econometrics, Elsevier, vol. 99(1), pages 139-171, November.
    62. Matthieu Garcin & Clément Goulet, 2015. "Non-parameteric news impact curve: a variational approach," Documents de travail du Centre d'Economie de la Sorbonne 15086rr, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Feb 2017.
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    1. Laffargue, J.-P.Jean-Pierre, 2004. "A sufficient condition for the existence and the uniqueness of a solution in macroeconomic models with perfect foresight," Journal of Economic Dynamics and Control, Elsevier, vol. 28(10), pages 1955-1975, September.
    2. Majid M. Al-Sadoon, 2016. "The Linear Systems Approach to Linear Rational Expectations Models," Working Papers 875, Barcelona School of Economics.
    3. George W. Evans & Bruce McGough, 2002. "Stable Sunspot Solutions in Models with Predetermined Variables," University of Oregon Economics Department Working Papers 2002-16, University of Oregon Economics Department, revised 29 May 2003.
    4. Enrique Martínez García, 2020. "A Matter of Perspective: Mapping Linear Rational Expectations Models into Finite-Order VAR Form," Globalization Institute Working Papers 389, Federal Reserve Bank of Dallas.
    5. Luca Fanelli, 2009. "Estimation of quasi-rational DSGE monetary models," Quaderni di Dipartimento 3, Department of Statistics, University of Bologna.
    6. Boucekkine, Raouf & Le Van, Cuong & Schubert, Katheline, 1996. "How to get the Blanchard-Kahn form from a general linear rational expectations model," UC3M Working papers. Economics 3974, Universidad Carlos III de Madrid. Departamento de Economía.
    7. Bernd Funovits, 2014. "Implications of Stochastic Singularity in Linear Multivariate Rational Expectations Models," Vienna Economics Papers vie1405, University of Vienna, Department of Economics.
    8. Emilio Galdeano-Gómez, 2007. "Composite price expectations: An empirical analysis for the Spanish horticultural sector," Agribusiness, John Wiley & Sons, Ltd., vol. 23(1), pages 57-83.
    9. Bernd Funovits, 2020. "The Dimension of the Set of Causal Solutions of Linear Multivariate Rational Expectations Models," Papers 2002.04369, arXiv.org.
    10. Enrique Martínez García, 2016. "Finite-Order VAR Representation of Linear Rational Expectations Models: With Some Lessons for Monetary Policy," Globalization Institute Working Papers 285, Federal Reserve Bank of Dallas.

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    Cited by:

    1. Ariane Szafarz, 2015. "Market Efficiency and Crises: Don’t Throw the Baby out with the Bathwater," ULB Institutional Repository 2013/239874, ULB -- Universite Libre de Bruxelles.
    2. Gianluca Mattarocci, 2009. "Market Characteristics and Chaos Dynamics in Stock Markets: an International Comparison," Palgrave Macmillan Studies in Banking and Financial Institutions, in: Alessandro Carretta & Franco Fiordelisi & Gianluca Mattarocci (ed.), New Drivers of Performance in a Changing Financial World, chapter 6, pages 89-106, Palgrave Macmillan.

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    1. Nannette Lindenberg & Frank Westermann, 2012. "How strong is the case for dollarization in Central America? An empirical analysis of business cycles, credit market imperfections and the exchange rate," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 17(2), pages 147-166, April.
    2. Choi, In & Chul Ahn, Byung, 1998. "Testing the null of stationarity for multiple time series," Journal of Econometrics, Elsevier, vol. 88(1), pages 41-77, November.
    3. Michel Beine & Alain Hecq, 1998. "Codependence and convergence in the EC economies," ULB Institutional Repository 2013/10463, ULB -- Universite Libre de Bruxelles.
    4. Nannette Lindenberg & Frank Westermann, 2009. "Common Trends and Common Cycles among Interest Rates of the G7-Countries," IEER Working Papers 77, Institute of Empirical Economic Research, Osnabrueck University.

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    1. Bauwens, Luc & Veredas, David, 2004. "The stochastic conditional duration model: a latent variable model for the analysis of financial durations," Journal of Econometrics, Elsevier, vol. 119(2), pages 381-412, April.

  105. Gourieroux Christian & Akonom, J., 1988. "Functional limit theorem for fractional processes (a)," CEPREMAP Working Papers (Couverture Orange) 8801, CEPREMAP.

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    1. Dolado, Juan José & Mármol, Francesc, 1999. "Asymptotic inference for monstationary fractionally integrated processes," DES - Working Papers. Statistics and Econometrics. WS 6350, Universidad Carlos III de Madrid. Departamento de Estadística.
    2. Marmol, Francesc, 1997. "Spurius regression theory with nonstationary fractionally integrated processes," DES - Working Papers. Statistics and Econometrics. WS 10733, Universidad Carlos III de Madrid. Departamento de Estadística.
    3. Marmol, Francesc, 1996. "Correlation theory of spuriously related higher order integrated processes," Economics Letters, Elsevier, vol. 50(2), pages 169-173, February.

  106. Gourieroux Christian & Peaucelle Irina, 1988. "Hétérogénéité/i/cas linéaire (le)," CEPREMAP Working Papers (Couverture Orange) 8809, CEPREMAP.

    Cited by:

    1. Gourieroux Christian, 1988. "Hétérogénéité/ii/etude de biais (sous l'hypothèse d'exogénéité faible)," CEPREMAP Working Papers (Couverture Orange) 8817, CEPREMAP.

  107. Fourgeaud C & Gourieroux Christian & Pradel J, 1987. "Heterogeneity and hazard dominance in duration data models," CEPREMAP Working Papers (Couverture Orange) 8736, CEPREMAP.

    Cited by:

    1. Liliane Bonnal & Denis Fougère, 1990. "Les déterminants individuels de la durée du chômage," Économie et Prévision, Programme National Persée, vol. 96(5), pages 45-82.
    2. Jean-Pierre Florens & Denis Fougère & Julien Pouget & Michel Mouchart, 2007. "Duration Models and Point Processes," Working Papers 2007-37, Center for Research in Economics and Statistics.
    3. Gourieroux, Christian & Jasiak, Joanna & Le Fol, Gaelle, 1999. "Intra-day market activity," Journal of Financial Markets, Elsevier, vol. 2(3), pages 193-226, August.

  108. Gourieroux Christian & Monfort Alain & Renault Eric, 1987. "Consistent m-estimators in a semi-parametric model," CEPREMAP Working Papers (Couverture Orange) 8720, CEPREMAP.

    Cited by:

    1. Komunjer, Ivana, 2002. "Quasi-Maximum Likelihood Estimation for Conditional Quantiles," Working Papers 1139, California Institute of Technology, Division of the Humanities and Social Sciences.
    2. Patton, Andrew J., 2011. "Volatility forecast comparison using imperfect volatility proxies," Journal of Econometrics, Elsevier, vol. 160(1), pages 246-256, January.

  109. Goncalves E & Gourieroux Christian, 1987. "Agrégation de processus autoregressifs d'ordre 1," CEPREMAP Working Papers (Couverture Orange) 8722, CEPREMAP.

    Cited by:

    1. Guillaume Chevillon & Alain Hecq & Sébastien Laurent, 2018. "Generating Univariate Fractional Integration within a Large VAR(1)," Working Papers halshs-01944588, HAL.

  110. C. Gourieroux & I. Peaucelle, 1987. "vérfication empirique de la rationalité des anticipations de la demande par les entreprises," Discussion Papers (REL - Recherches Economiques de Louvain) 1987032, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).

    Cited by:

    1. Peaucelle, Irina, 1996. "Prévisions de court terme pour analyser les réformes en Russie (les)," CEPREMAP Working Papers (Couverture Orange) 9610, CEPREMAP.

  111. Broze, Laurence & Gourieroux Christian & Szafarz A, 1986. "Identification & consistent estimation of multi-variate linear models with rational expectations of current variables," CEPREMAP Working Papers (Couverture Orange) 8617, CEPREMAP.

    Cited by:

    1. Flôres Jr., Renato G. & Szafarz, Ariane, 1994. "Agents, Econometricians and the Identification of Rational Expectations Systems," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 14(1), April.

  112. Gourieroux Christian & Monfort Alain & Renault E & Trognon A, 1985. "Simulated residuals," CEPREMAP Working Papers (Couverture Orange) 8502, CEPREMAP.

    Cited by:

    1. Claire Lachaud-Fiume & Christine Largeron-Leténo & Lise Rochaix-Ranson, 1998. "Franchise sur les soins ambulatoires et équité sociale," Économie et Statistique, Programme National Persée, vol. 315(1), pages 51-72.
    2. Luc Arrondel & Hector Calvo Pardo & Xisco Oliver, 2007. "Temperant portfolio choice and background risk: evidence from France," PSE Working Papers halshs-00588069, HAL.
    3. Prouteau, Lionel & Wolff, Francois-Charles, 2006. "Does volunteer work pay off in the labor market?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 35(6), pages 992-1013, December.
    4. Nicolas G. Vaillant & François-Charles Wolff, 2011. "Understanding how experts rate cigars : a 'havanometric' analysis," Post-Print hal-00732116, HAL.
    5. Luc Arrondel & François-Charles Wolff, 1998. "La nature des transferts inter vivos en France : investissements humains, aides financières et transmission du patrimoine," Économie et Prévision, Programme National Persée, vol. 135(4), pages 1-27.
    6. Luc Arrondel, 2013. "Are "daddy's boys" just as rich as daddy? The transmission of values between generations," Post-Print halshs-00916604, HAL.
    7. François-Charles Wolff, 2015. "Do the Return Intentions of French Migrants Affect Their Transfer Behaviour?," Post-Print hal-03782759, HAL.
    8. Pilar GARCIA-GOMEZ & Erik SCHOKKAERT & Tom VAN OURTI & Teresa BAGO D'UVA, 2015. "Inequity in the face of death," LIDAM Reprints CORE 2798, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    9. Teresa Aparicio & Inmaculada Villanúa, 2007. "Some selection criteria for nested binary choice models: a comparative study," Computational Statistics, Springer, vol. 22(4), pages 635-660, December.
    10. Michael Grimm, 2001. "Macro-economic adjustment socio-demographic change, and the evolution of income distribution in Côte d'Ivoire. A decomposition by microsimulation," Working Papers DT/2001/12, DIAL (Développement, Institutions et Mondialisation).
    11. François-Charles Wolff, 2012. "Decomposition of non-linear models using simulated residuals," Working Papers hal-00694421, HAL.
    12. Kilby, Christopher, 2000. "Supervision and performance: the case of World Bank projects," Journal of Development Economics, Elsevier, vol. 62(1), pages 233-259, June.
    13. Driffield, Nigel & Jones, Chris & Crotty, Jo, 2013. "International business research and risky investments, an analysis of FDI in conflict zones," International Business Review, Elsevier, vol. 22(1), pages 140-155.
    14. Luc Arrondel, 2009. ""My Father was right": The transmission of values between generations," PSE Working Papers halshs-00566808, HAL.
    15. Engers, Maxim & Hartmann, Monica & Stern, Steven, 2009. "Are lemons really hot potatoes?," International Journal of Industrial Organization, Elsevier, vol. 27(2), pages 250-263, March.
    16. M. T. Aparicio & I. Villan�a, 2012. "Selection criteria for overlapping binary Models," Documentos de Trabajo dt2012-01, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
    17. Lionel Prouteau & François-Charles Wolff, 2013. "Adhésions et dons aux associations : permanences et évolutions de 2002 à 2010," Économie et Statistique, Programme National Persée, vol. 459(1), pages 27-57.
    18. Laetitia Duval & François-­charles Wolff, 2015. "" I Even Met Happy Gypsies " : Life Satisfaction of Roma Youth in the Balkans," Working Papers hal-01219250, HAL.

  113. Gourieroux Christian & Monfort Alain & Renault E, 1985. "Testing unknown linear restrictions on parameter functions," CEPREMAP Working Papers (Couverture Orange) 8516, CEPREMAP.

    Cited by:

    1. Broze, Laurence & Gourieroux Christian & Szafarz A, 1986. "Reduction and identification of simultaneous equations models with rational expectations," CEPREMAP Working Papers (Couverture Orange) 8601, CEPREMAP.

  114. Gourieroux Christian & Monfort Alain & Trognon A, 1984. "General approach of serial correlation (a)," CEPREMAP Working Papers (Couverture Orange) 8424, CEPREMAP.

    Cited by:

    1. Hausman, J.A. & Lo, A.W. & MacKinlay, A.C., 1991. "An Ordered Probit Analysis of Transaction Stock Prices," Weiss Center Working Papers 26-91, Wharton School - Weiss Center for International Financial Research.
    2. Gerhard, Frank & Hess, Dieter & Pohlmeier, Winfried, 1998. "What a Difference a Day Makes: On the Common Market Microstructure of Trading Days," CoFE Discussion Papers 98/01, University of Konstanz, Center of Finance and Econometrics (CoFE).
    3. James Mitchell & Richard J. Smith & Martin R. Weale, 2013. "Efficient Aggregation Of Panel Qualitative Survey Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(4), pages 580-603, June.
    4. Eckert, Andrew & Langinier, Corinne & Zhao, Long, 2019. "Determinants of Locational Patenting Behavior of Canadian Firms," Working Papers 2019-3, University of Alberta, Department of Economics.
    5. Gerhard, Frank & Hautsch, Nikolaus, 1999. "Volatility Estimation on the Basis of Price Intensities," CoFE Discussion Papers 99/19, University of Konstanz, Center of Finance and Econometrics (CoFE).
    6. Christian Gouriéroux & Alain Monfort, 2016. "Composite Indirect Inference with Application to Corporate Risks," Working Papers 2016-32, Center for Research in Economics and Statistics.
    7. RUGE-MURCIA, Francisco J., 1998. "Uncovering Financial Markets Beliefs About Inflation Targets," Cahiers de recherche 9803, Universite de Montreal, Departement de sciences economiques.
    8. Nuno Cassola, 1998. "Emu, Exchange Rate Volatility and Bid-Ask Spreads," Working Papers w199805, Banco de Portugal, Economics and Research Department.
    9. Oczkowski, Edward, 1998. "An econometric analysis of the bilateral monopoly model," Economic Modelling, Elsevier, vol. 16(1), pages 53-69, January.
    10. Gerlach, Stefan, 2004. "Interest Rate Setting by the ECB: Words and Deeds," CEPR Discussion Papers 4775, C.E.P.R. Discussion Papers.
    11. Carstensen, Kai, 2006. "Estimating the ECB policy reaction function," Munich Reprints in Economics 19941, University of Munich, Department of Economics.
    12. Hsiao, Cheng & Pesaran, M. Hashem & Pick, Andreas, 2007. "Diagnostic Tests of Cross Section Independence for Nonlinear Panel Data Models," IZA Discussion Papers 2756, Institute of Labor Economics (IZA).
    13. Sergio Pastorello & Valentin Patilea & Eric Renault, 2003. "Iterative and Recursive Estimation in Structural Non-Adaptive Models," CIRANO Working Papers 2003s-08, CIRANO.
    14. ROSA, Carlo, 2009. "Forecasting the direction of policy rate changes : the importance of ECB words," LIDAM Discussion Papers CORE 2009001, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    15. Veronika Czellar & David T. Frazier & Eric Renault, 2020. "Approximate Maximum Likelihood for Complex Structural Models," Papers 2006.10245, arXiv.org.
    16. Allaire, Gilles & Cahuzac, Eric & Simioni, Michel, 2009. "Contractualisation et diffusion spatiale des mesures agro-environnementales herbagères," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 90(1).
    17. Gustavo Nicolás Páez, 2015. "Prediciendo decisiones de agentes económicos: ¿Cómo determina el Banco de la República de Colombia la tasa de interés?," Documentos CEDE 12567, Universidad de los Andes, Facultad de Economía, CEDE.
    18. David T. Frazier & Eric Renault, 2016. "Indirect Inference With(Out) Constraints," Papers 1607.06163, arXiv.org, revised Aug 2019.
    19. Czellar, Veronika & Frazier, David T. & Renault, Eric, 2021. "Approximate Maximum Likelihood for Complex Structural Models," The Warwick Economics Research Paper Series (TWERPS) 1337, University of Warwick, Department of Economics.
    20. Ricardo Gonçalves Silva, 2004. "Bayesian Semiparametric Regression for Autoregressive Models with Possible Unit Roots," Econometrics 0405002, University Library of Munich, Germany.
    21. Brown, David P. & Eckert, Andrew, 2017. "The Effect of Default Rates on Retail Competition and Pricing Decisions of Competitive Retailers: The Case of Alberta," Working Papers 2017-6, University of Alberta, Department of Economics.
    22. Driffield, Nigel & Jones, Chris & Crotty, Jo, 2013. "International business research and risky investments, an analysis of FDI in conflict zones," International Business Review, Elsevier, vol. 22(1), pages 140-155.
    23. MacKinnon, James G, 1992. "Model Specification Tests and Artificial Regressions," Journal of Economic Literature, American Economic Association, vol. 30(1), pages 102-146, March.
    24. Frank Gerhard & Dieter Hess & Winfried Pohlmeier, 1999. "What a Difference a Day Makes: On the Common Market Microstructure of Trading Days," Finance 9904006, University Library of Munich, Germany.
    25. Stefan Gerlach, 2007. "Interest Rate Setting by the ECB, 1999-2006: Words and Deeds," International Journal of Central Banking, International Journal of Central Banking, vol. 3(3), pages 1-46, September.
    26. Nan‐Kuang Chen & Hung‐Jen Wang, 2008. "Identifying the Demand and Supply Effects of Financial Crises on Bank Credit—Evidence from Taiwan," Southern Economic Journal, John Wiley & Sons, vol. 75(1), pages 26-49, July.
    27. Rosa, Carlo, 2011. "Words that shake traders," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 915-934.
    28. Pinkse, Joris & Slade, Margaret E., 1998. "Contracting in space: An application of spatial statistics to discrete-choice models," Journal of Econometrics, Elsevier, vol. 85(1), pages 125-154, July.
    29. Jose Montalvo, 2003. "Liquidity and market makers: a pseudo-experimental analysis with ultrahigh frequency data," The European Journal of Finance, Taylor & Francis Journals, vol. 9(4), pages 358-378.
    30. Kaiser, Ulrich & Szczesny, Andrea, 2000. "Einfache ökonometrische Verfahren für die Kreditrisikomessung," CoFE Discussion Papers 00/28, University of Konstanz, Center of Finance and Econometrics (CoFE).
    31. Choi, Woon Gyu, 1999. "Estimating the Discount Rate Policy Reaction Function of the Monetary Authority," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(4), pages 379-401, July-Aug..
    32. Brown, David P. & Eckert, Andrew & Lin, James, 2018. "Information and Transparency in Wholesale Electricity Markets: Evidence from Alberta," Working Papers 2018-2, University of Alberta, Department of Economics.
    33. Czellar, Veronika & Frazier, David T. & Renault, Eric, 2022. "Approximate maximum likelihood for complex structural models," Journal of Econometrics, Elsevier, vol. 231(2), pages 432-456.
    34. Kaiser, Ulrich, 1997. "The determinants of BUND-future price changes: An ordered probit analysis using DTB and LIFFE data," ZEW Discussion Papers 97-09, ZEW - Leibniz Centre for European Economic Research.
    35. Di Fan & Long Zhao, 2022. "Old Wine in New Bottles: Patenting Propensity," Journal of Industry, Competition and Trade, Springer, vol. 22(2), pages 207-224, June.
    36. Monfort, Alain, 1992. "Quelques développements récents des méthodes macroéconométriques," L'Actualité Economique, Société Canadienne de Science Economique, vol. 68(1), pages 305-324, mars et j.
    37. Henrik Amilon, 2002. "A Score Test for Discreteness in GARCH Models," Research Paper Series 76, Quantitative Finance Research Centre, University of Technology, Sydney.
    38. Gerhard, Frank & Hautsch, Nikolaus, 2000. "Determinants of Inter-Trade Durations and Hazard Rates Using Proportional Hazard ARMA Model," CoFE Discussion Papers 00/20, University of Konstanz, Center of Finance and Econometrics (CoFE).
    39. Lee, Lung-Fei, 1997. "A smooth likelihood simulator for dynamic disequilibrium models," Journal of Econometrics, Elsevier, vol. 78(2), pages 257-294, June.

  115. Broze, Laurence & Gourieroux Christian & Szafarz A, 1984. "Solutions of dynamic linear rational expectations models," CEPREMAP Working Papers (Couverture Orange) 8421, CEPREMAP.

    Cited by:

    1. Jones, John Bailey, 2002. "Has fiscal policy helped stabilize the postwar U.S. economy?," Journal of Monetary Economics, Elsevier, vol. 49(4), pages 709-746, May.
    2. Geweke, John F. & Horowitz, Joel L. & Pesaran, M. Hashem, 2006. "Econometrics: A Bird's Eye View," IZA Discussion Papers 2458, Institute of Labor Economics (IZA).
    3. Beatriz Armendariz & Bert D'Espallier & Marek Hudon & Ariane Szafarz, 2011. "Subsidy Uncertainty and Microfinance Mission Drift," Working Papers CEB 11-014, ULB -- Universite Libre de Bruxelles.
    4. Majid M. Al-Sadoon, 2016. "The Linear Systems Approach to Linear Rational Expectations Models," Working Papers 875, Barcelona School of Economics.
    5. Ariane Szafarz, 2009. "How Did Financial-Crisis-Based Criticisms of Market Efficiency Get It So Wrong?," Working Papers CEB 09-048.RS, ULB -- Universite Libre de Bruxelles.
    6. Ariane Szafarz, 2012. "Financial crises in efficient markets: How fundamentalists fuel volatility," ULB Institutional Repository 2013/149191, ULB -- Universite Libre de Bruxelles.
    7. Broze, Laurence & Gourieroux Christian & Szafarz A, 1986. "Reduction and identification of simultaneous equations models with rational expectations," CEPREMAP Working Papers (Couverture Orange) 8601, CEPREMAP.
    8. Atıcı, Ferhan M. & Ekiz, Funda & Lebedinsky, Alex, 2014. "Cagan type rational expectation model on complex discrete time domains," European Journal of Operational Research, Elsevier, vol. 237(1), pages 148-151.
    9. Enrique Martínez García, 2020. "A Matter of Perspective: Mapping Linear Rational Expectations Models into Finite-Order VAR Form," Globalization Institute Working Papers 389, Federal Reserve Bank of Dallas.
    10. Renato Flôres & Ariane Szafarz, 1992. "Minimal Identification of Dynamic Rational Expectations Systems," ULB Institutional Repository 2013/691, ULB -- Universite Libre de Bruxelles.
    11. Laurence Broze & Ariane Szafarz, 1985. "Solutions des modèles linéaires à anticipations rationnelles," ULB Institutional Repository 2013/679, ULB -- Universite Libre de Bruxelles.
    12. Enrique Martínez García, 2016. "Finite-Order VAR Representation of Linear Rational Expectations Models: With Some Lessons for Monetary Policy," Globalization Institute Working Papers 285, Federal Reserve Bank of Dallas.
    13. Xavier De Scheemaekere & Kim Oosterlinck & Ariane Szafarz, 2012. "Addressing Economic Crises: The Reference-Class Problem," Working Papers CEB 12-024, ULB -- Universite Libre de Bruxelles.
    14. Majid M. Al-Sadoon, 2020. "The Spectral Approach to Linear Rational Expectations Models," Papers 2007.13804, arXiv.org, revised Jun 2023.

  116. Fourgeaud Claude & Gourieroux Christian & Pradel J, 1984. "Learning procedure and convergence to rationality," CEPREMAP Working Papers (Couverture Orange) 8411, CEPREMAP.

    Cited by:

    1. Ariane Szafarz, 2015. "Market Efficiency and Crises: Don’t Throw the Baby out with the Bathwater," ULB Institutional Repository 2013/239874, ULB -- Universite Libre de Bruxelles.
    2. Georges Prat & Remzi Uctum, 2016. "Do markets learn to rationally expect US interest rates? Evidence from survey data," Post-Print hal-01638220, HAL.
    3. Kaushik Mitra & Seppo Honkapohja, 2004. "Learning Stability in Economies with Heterogenous Agents," Royal Holloway, University of London: Discussion Papers in Economics 04/17, Department of Economics, Royal Holloway University of London, revised Jul 2004.
    4. Schonhofer, Martin, 1999. "Chaotic Learning Equilibria," Journal of Economic Theory, Elsevier, vol. 89(1), pages 1-20, November.
    5. Damdinsuren, Erdenebulgan & Zaharieva, Anna, 2018. "Expectation Formation and Learning in the Labour Market with On-the-Job Search and Nash Bargaining," Center for Mathematical Economics Working Papers 604, Center for Mathematical Economics, Bielefeld University.
    6. Dmitri Kolyuzhnov & Anna Bogomolova, 2004. "Escape Dynamics: A Continuous Time Approximation," Econometric Society 2004 Latin American Meetings 27, Econometric Society.
    7. Bastourre, Diego, 2008. "Cambio fundamental o especulación financiera en los mercados de commodities? Un modelo con ajuste no lineal al equilibrio [Structural break or financial speculation in commodity markets? A multivar," MPRA Paper 9910, University Library of Munich, Germany.
    8. Nicolas Million, 2007. "Effet peso : présentation théorique et application à la politique monétaire," Documents de travail du Centre d'Economie de la Sorbonne v07012, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    9. Jean-Michel Grandmont, 1997. "Expectations Formation and Stability of Large Socioeconomic Systems," Working Papers 97-27, Center for Research in Economics and Statistics.
    10. Dmitri Kolyuzhnov & Anna Bogomolova, 2004. "Escape Dynamics: A Continuous Time Approximation," Econometric Society 2004 Far Eastern Meetings 557, Econometric Society.
    11. Evans, George & Honkapohja, Seppo, 2011. "Learning as a rational foundation for macroeconomics and finance," Bank of Finland Research Discussion Papers 8/2011, Bank of Finland.
    12. Chevillon, Guillaume & Massmann, Michael & Mavroeidis, Sophocles, 2010. "Inference in models with adaptive learning," Journal of Monetary Economics, Elsevier, vol. 57(3), pages 341-351, April.
    13. Ariane Szafarz, 2009. "How Did Financial-Crisis-Based Criticisms of Market Efficiency Get It So Wrong?," Working Papers CEB 09-048.RS, ULB -- Universite Libre de Bruxelles.
    14. Cellarier, Laurent L., 2008. "Least squares learning and business cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 68(3-4), pages 553-564, December.
    15. Honkapohja, Seppo, 1995. "Bounded rationality in macroeconomics A review essay," Journal of Monetary Economics, Elsevier, vol. 35(3), pages 509-518, June.
    16. Roger J. Bowden, 1990. "Predictive Disequilibria and the Short Run Dynamics of Asset Prices," Australian Journal of Management, Australian School of Business, vol. 15(1), pages 65-87, June.
    17. Eliasson, Gunnar, 1990. "Business Competence, Organizational Learning and Economic Growth: Establishing the Smith-Schumpeter-Wicksell (SSW) Connection," Working Paper Series 264, Research Institute of Industrial Economics, revised Jan 1991.
    18. Brown, Paul M., 1995. "Learning from experience, reference points, and decision costs," Journal of Economic Behavior & Organization, Elsevier, vol. 27(3), pages 381-399, August.
    19. Alexander Mayer, 2022. "Estimation and inference in adaptive learning models with slowly decreasing gains," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(5), pages 720-749, September.
    20. Norbert Christopeit & Michael Massmann, 2013. "Estimating Structural Parameters in Regression Models with Adaptive Learning," Tinbergen Institute Discussion Papers 13-111/III, Tinbergen Institute.
    21. Albert Marcet & Tom Sargent, 2010. "Convergence of Least Squares Learning in Environments With Private Information," Levine's Working Paper Archive 240, David K. Levine.
    22. Linn, Scott C. & Stanhouse, Bryan E., 1997. "The economic advantage of least squares learning in a risky asset market," Journal of Economics and Business, Elsevier, vol. 49(4), pages 303-319.
    23. Heinemann, Maik, 2000. "Adaptive learning of rational expectations using neural networks," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 1007-1026, June.
    24. Chen, Xiaohong & White, Halbert, 1998. "Nonparametric Adaptive Learning with Feedback," Journal of Economic Theory, Elsevier, vol. 82(1), pages 190-222, September.
    25. Siddhartha Chattopadhyay, 2013. "Liquidity Trap and the Conditional Policy Commitment: An Analysis under Adaptive Learning," South Asian Journal of Macroeconomics and Public Finance, , vol. 2(1), pages 1-32, June.
    26. Diego Bastourre, 2008. "Inversores Financieros en los Mercados de Commodities: Un Modelo con Dinámica de Ajuste no Lineal al Equilibrio," Department of Economics, Working Papers 072, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata.
    27. Nicolas Million, 2007. "Effet peso : présentation théorique et application à la politique monétaire," Post-Print halshs-00144659, HAL.
    28. Eliasson, Gunnar, 2004. "Ignorant Actors in the Resource Rich World of the Knowledge Based Economy - On Rational Management in an Experimentally Organized Economy (EOE)," Ratio Working Papers 47, The Ratio Institute.
    29. Christophe Bisière & Charles Lai Tong & Anne Peguin-Feissolle, 1990. "Prévision bayésienne et structure par terme des taux d'intérêt," Revue Économique, Programme National Persée, vol. 41(5), pages 817-838.
    30. Georges Prat & Remzi Uctum, 2016. "Do markets learn to rationally expect US interest rates? Evidence from survey data," Working Papers hal-04141591, HAL.
    31. Diego Bastourre, 2008. "Inversores Financieros en los Mercados de Commodities: Un Modelo con Dinámica de Ajuste no Lineal al Equilibrio," IIE, Working Papers 072, IIE, Universidad Nacional de La Plata.
    32. Dmitri Kolyuzhnov & Anna Bogomolova & Sergey Slobodyan, 2006. "Escape Dynamics: A Continuous—Time Approximation," CERGE-EI Working Papers wp285, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    33. Beeby, Mike & Hall, Stephan George & Henry, Brian S., 2001. "Rational expectations and near rational alternatives: How best to form expectations," Working Paper Series 86, European Central Bank.
    34. Dmitri Kolyuzhnov & Anna Bogomolova, 2004. "Escape Dynamics: A Continuous Time Approximation," Computing in Economics and Finance 2004 190, Society for Computational Economics.

  117. Gourieroux, Christian & Laroque, Guy, 1983. "The agregation of commodities in quantity rationing models," CEPREMAP Working Papers (Couverture Orange) 8305, CEPREMAP.

    Cited by:

    1. Laroque, Guy, 1986. "Le chômage des années 1970 était-il classique?," L'Actualité Economique, Société Canadienne de Science Economique, vol. 62(3), pages 349-364, septembre.
    2. Jacquinot, Pascal & Mihoubi, F., 1996. "Dynamique et hétérogénéité de l’emploi en déséquilibre," L'Actualité Economique, Société Canadienne de Science Economique, vol. 72(2), pages 113-148, juin.
    3. Chern, Wen S. & Zhi, Wang, 1990. "Modeling Consumer Expenditures Under Rationing In The People'S Republic Of China," 1990 Annual meeting, August 5-8, Vancouver, Canada 270900, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Heinesen, Eskil, 1995. "The two-variable CES transaction function in macroeconomic rationing models," Economics Letters, Elsevier, vol. 48(3-4), pages 257-265, June.
    5. Richard Portes, 1986. "The Theory and Measurement of Macroeconomic Disequilibrium in Centrally Planned Economies," NBER Working Papers 1875, National Bureau of Economic Research, Inc.
    6. Riadh Ben Jelili & Salima Hamouche & Ferhat Mihoubi, 1994. "Le pseudo-maximum de vraisemblance théorique et simulé. Application au cas des modèles de déséquilibre," Économie et Prévision, Programme National Persée, vol. 112(1), pages 149-174.

  118. Gourieroux Christian & Monfort Alain & Trognon A, 1982. "Pseudo maximum lilelihood methods : applications to poisson models," CEPREMAP Working Papers (Couverture Orange) 8203, CEPREMAP.

    Cited by:

    1. Wang, Jian, 2016. "Knowledge creation in collaboration networks: Effects of tie configuration," Research Policy, Elsevier, vol. 45(1), pages 68-80.
    2. Anthony Briant & Pierre-Philippe Combes & Miren Lafourcade, 2009. "Product Complexity, Quality Of Institutions And The Pro-Trade Effect Of Immigrants," PSE Working Papers halshs-00382510, HAL.
    3. Elisa Giuliani & Arianna Martinelli & Roberta Rabellotti, 2015. "Is Co-Invention Expediting Technological Catch Up? A Study of Collaboration between Emerging Country Firms and EU inventors," LEM Papers Series 2015/10, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Gannon, Gerard L. & Choi, Daniel F. S., 1998. "Structural models: Intra/Inter-day volatility transmission and spillover persistence of the HSI, HSIF and S&P500 futures," International Review of Financial Analysis, Elsevier, vol. 7(1), pages 19-36.
    5. Hyytinen, Ari & Takalo, Tuomas, 2004. "Multihoming in the Market for Payment Media: Evidence from Young Finnish Consumers," Discussion Papers 893, The Research Institute of the Finnish Economy.
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    25. Hajivassiliou, Vassilis & Savignac, Frédérique, 2019. "Novel approaches to coherency conditions in dynamic LDV models: quantifying financing constraints and a firm's decision and ability to innovate," LSE Research Online Documents on Economics 102544, London School of Economics and Political Science, LSE Library.
    26. Maria Luisa Mancusi & Andrea Vezzulli, 2013. "R&D and Credit Rationing in SMEs," Working Papers Department of Economics 2013/12, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    27. Massacci, D., 2007. "Identification and Estimation in an Incoherent Model of Contagion," Cambridge Working Papers in Economics 0744, Faculty of Economics, University of Cambridge.
    28. Marc HENRY & Ismael MOURIFIÉ, 2013. "Nonparametric Sharp Bounds For Payoffs In 2 × 2 Games," Working Papers tecipa-500, University of Toronto, Department of Economics.
    29. van Soest, A.H.O. & Kooreman, P. & Kapteyn, A.J., 1990. "Coherency and regularity of demand systems with equality and inequality constraints," Discussion Paper 1990-1, Tilburg University, Center for Economic Research.
    30. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    31. Arthur Lewbel, 1997. "Coherence and Completeness of Structural Models Containing a Dummy Endogenous Variable," Boston College Working Papers in Economics 456, Boston College Department of Economics, revised 04 Sep 2006.
    32. Bousquet, Alain & Ivaldi, Marc, 1998. "An individual choice model of energy mix," Resource and Energy Economics, Elsevier, vol. 20(3), pages 263-286, September.
    33. Patrick K. Asea & S. Brock Blomberg, 1997. "Lending Cycles," NBER Working Papers 5951, National Bureau of Economic Research, Inc.
    34. James J. Heckman, 2005. "Micro Data, Heterogeneity and the Evaluation of Public Policy Part 2," The American Economist, Sage Publications, vol. 49(1), pages 16-44, March.
    35. Shinya Sugawara & Yasuhiro Omori, 2017. "An Econometric Analysis of Insurance Markets with Separate Identification for Moral Hazard and Selection Problems," Computational Economics, Springer;Society for Computational Economics, vol. 50(3), pages 473-502, October.
    36. Aradillas-Lopez, Andres, 2010. "Semiparametric estimation of a simultaneous game with incomplete information," Journal of Econometrics, Elsevier, vol. 157(2), pages 409-431, August.
    37. Brancati, Emanuele, 2013. "Innovation activity and nancing constraints: evidence from Italy during the crises," MPRA Paper 47750, University Library of Munich, Germany.
    38. Victoria Prowse, 2009. "Estimating labour supply elasticities under rationing: a structural model of time allocation behaviour," Canadian Journal of Economics, Canadian Economics Association, vol. 42(1), pages 90-112, February.
    39. Hashem Pesaran & Andreas Pick, 2004. "Econometric Issues in the Analysis of Contagion," Money Macro and Finance (MMF) Research Group Conference 2004 67, Money Macro and Finance Research Group.
    40. Walter Beckert & Richard Blundell, 2004. "Invertibility of Nonparametric Stochastic Demand Functions," Birkbeck Working Papers in Economics and Finance 0406, Birkbeck, Department of Economics, Mathematics & Statistics.
    41. Christian Dustmann & John Micklewright & Arthur Soest, 2009. "In-school labour supply, parental transfers, and wages," Empirical Economics, Springer, vol. 37(1), pages 201-218, September.
    42. Seppo Honkapohja & Takatoshi Ito, 1979. "A Stochastic Approach to Disequilibrium Macroeconomics," NBER Technical Working Papers 0001, National Bureau of Economic Research, Inc.
    43. Bjorn, Paul A. & Vuong, Quang H., 1997. "Modèles d’équations simultanées pour variables endogènes fictives : une formulation par la théorie des jeux avec application à la participation au marché du travail," L'Actualité Economique, Société Canadienne de Science Economique, vol. 73(1), pages 161-205, mars-juin.
    44. Lacroix, Guy & Radtchenko, Natalia, 2008. "The Changing Intra-Household Resource Allocation in Russia," IZA Discussion Papers 3733, Institute of Labor Economics (IZA).
    45. Holt, Matthew T., 1991. "A Multi-Market Bounded Prices Model Under Rational Expectations: The Case of Corn and Soybeans," Staff Papers 200537, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    46. Kunitomo, Naoto & Sato, Seisho, 1996. "Asymmetry in economic time series and the simultaneous switching autoregressive model," Structural Change and Economic Dynamics, Elsevier, vol. 7(1), pages 1-34, March.
    47. Arthur Lewbel, 2006. "Modeling Heterogeneity," Boston College Working Papers in Economics 650, Boston College Department of Economics.
    48. Hewitt-Dundas, Nola & Gkypali, Areti & Roper, Stephen, 2019. "Does learning from prior collaboration help firms to overcome the ‘two-worlds’ paradox in university-business collaboration?," Research Policy, Elsevier, vol. 48(5), pages 1310-1322.
    49. Magnac, Thierry, 2014. "Identification partielle: méthodes et conséquences pour les applications empiriques," TSE Working Papers 14-458, Toulouse School of Economics (TSE).
    50. S. Bogan Aruoba & Pablo Cuba-Borda & Kenji Higa-Flores & Frank Schorfheide & Sergio Villalvazo, 2021. "Online Appendix to "Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints"," Online Appendices 20-14, Review of Economic Dynamics.
    51. James A. Duffy & Sophocles Mavroeidis & Sam Wycherley, 2022. "Cointegration with Occasionally Binding Constraints," Papers 2211.09604, arXiv.org, revised Jul 2023.
    52. Catalina Martinez & Pluvia Zuniga, 2017. "Contracting for technology transfer: patent licensing and know-how in Brazil," Industry and Innovation, Taylor & Francis Journals, vol. 24(6), pages 659-689, August.
    53. Victoria Prowse, 2004. "Estimating Time Demand Elasticities Under Rationing," Economics Papers 2004-W22, Economics Group, Nuffield College, University of Oxford.
    54. Hajivassiliou, Vassilis & Savignac, Frédérique, 2024. "Simultaneously incomplete and incoherent (SII) dynamic LDV models: with an application to financing constraints and firms’ decision to innovate," LSE Research Online Documents on Economics 119379, London School of Economics and Political Science, LSE Library.
    55. Christophe Muller, 2003. "Female Activity Choice In A Dual Context: An Integrated Model For Formal And Informal Sectors In Cameroon," Working Papers. Serie AD 2003-39, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
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Articles

  1. Gourieroux, Christian & Jasiak, Joann, 2018. "Misspecification of noncausal order in autoregressive processes," Journal of Econometrics, Elsevier, vol. 205(1), pages 226-248.

    Cited by:

    1. Gourieroux, Christian & Jasiak, Joann, 2019. "Robust analysis of the martingale hypothesis," Econometrics and Statistics, Elsevier, vol. 9(C), pages 17-41.
    2. Alain Hecq & Daniel Velasquez-Gaviria, 2022. "Spectral estimation for mixed causal-noncausal autoregressive models," Papers 2211.13830, arXiv.org.
    3. Gianluca Cubadda & Francesco Giancaterini & Alain Hecq & Joann Jasiak, 2023. "Optimization of the Generalized Covariance Estimator in Noncausal Processes," Papers 2306.14653, arXiv.org, revised Jan 2024.
    4. Alain Hecq & Sean Telg & Lenard Lieb, 2017. "Do Seasonal Adjustments Induce Noncausal Dynamics in Inflation Rates?," Econometrics, MDPI, vol. 5(4), pages 1-22, October.
    5. Hecq, Alain & Voisin, Elisa, 2021. "Forecasting bubbles with mixed causal-noncausal autoregressive models," Econometrics and Statistics, Elsevier, vol. 20(C), pages 29-45.
    6. Alain Hecq & Joao Issler & Elisa Voisin, 2022. "A short term credibility index for central banks under inflation targeting: an application to Brazil," Papers 2205.00924, arXiv.org, revised Jul 2022.

  2. Gourieroux, Christian & Jasiak, Joann, 2017. "Noncausal vector autoregressive process: Representation, identification and semi-parametric estimation," Journal of Econometrics, Elsevier, vol. 200(1), pages 118-134.

    Cited by:

    1. Gianluca Cubadda & Alain Hecq & Elisa Voisin, 2023. "Detecting Common Bubbles in Multivariate Mixed Causal-noncausal Models," CEIS Research Paper 555, Tor Vergata University, CEIS, revised 27 Feb 2023.
    2. Gourieroux, Christian & Lu, Yang, 2019. "Least impulse response estimator for stress test exercises," Journal of Banking & Finance, Elsevier, vol. 103(C), pages 62-77.
    3. Christian Gouriéroux & Joann Jasiak & Alain Monfort, 2016. "Stationary Bubble Equilibria in Rational Expectation Models," Working Papers 2016-31, Center for Research in Economics and Statistics.
    4. Cubadda, Gianluca & Hecq, Alain & Telg, Sean, 2017. "Detecting Co-Movements in Noncausal Time Series," MPRA Paper 77254, University Library of Munich, Germany, revised 02 Mar 2017.
    5. Gianluca Cubadda & Francesco Giancaterini & Alain Hecq & Joann Jasiak, 2023. "Optimization of the Generalized Covariance Estimator in Noncausal Processes," Papers 2306.14653, arXiv.org, revised Jan 2024.
    6. Ye Chen & Jian Li & Qiyuan Li, 2023. "Seemingly Unrelated Regression Estimation for VAR Models with Explosive Roots," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(4), pages 910-937, August.
    7. Christian Gourieroux & Joann Jasiak, 2023. "Generalized Covariance Estimator," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(4), pages 1315-1327, October.
    8. Kramkov, Viacheslav & Maksimov, Andrey, 2020. "Loan market markups and noncausal autoregressions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 60, pages 48-69.
    9. Bernd Funovits, 2020. "Identifiability and Estimation of Possibly Non-Invertible SVARMA Models: A New Parametrisation," Papers 2002.04346, arXiv.org, revised Feb 2021.
    10. Anders Rygh Swensen, 2022. "On causal and non‐causal cointegrated vector autoregressive time series," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(2), pages 178-196, March.

  3. Gouriéroux, Christian & Monfort, Alain & Renne, Jean-Paul, 2017. "Statistical inference for independent component analysis: Application to structural VAR models," Journal of Econometrics, Elsevier, vol. 196(1), pages 111-126.
    See citations under working paper version above.
  4. Gagliardini, Patrick & Gouriéroux, Christian, 2017. "Double instrumental variable estimation of interaction models with big data," Journal of Econometrics, Elsevier, vol. 201(2), pages 176-197.

    Cited by:

    1. Alain-Philippe Fortin & Patrick Gagliardini & Olivier Scaillet, 2022. "Eigenvalue tests for the number of latent factors in short panels," Papers 2210.16042, arXiv.org.
    2. Beyhum, Jad & Gautier, Eric, 2021. "Factor and factor loading augmented estimators for panel regression," TSE Working Papers 21-1219, Toulouse School of Economics (TSE).

  5. Christian Gouriéroux & Alain Monfort & Eric Renault, 2017. "Consistent Pseudo-Maximum Likelihood Estimators," Annals of Economics and Statistics, GENES, issue 125-126, pages 187-218.
    See citations under working paper version above.
  6. Christian Gouriéroux & Jean-Michel Zakoïan, 2017. "Local explosion modelling by non-causal process," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(3), pages 737-756, June.
    See citations under working paper version above.
  7. Christian Gourieroux & Joann Jasiak, 2016. "Filtering, Prediction and Simulation Methods for Noncausal Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(3), pages 405-430, May.

    Cited by:

    1. Francisco Blasques & Siem Jan Koopman & Gabriele Mingoli, 2023. "Observation-Driven filters for Time-Series with Stochastic Trends and Mixed Causal Non-Causal Dynamics," Tinbergen Institute Discussion Papers 23-065/III, Tinbergen Institute.
    2. Blasques, Francisco & Koopman, Siem Jan & Nientker, Marc, 2022. "A time-varying parameter model for local explosions," Journal of Econometrics, Elsevier, vol. 227(1), pages 65-84.
    3. Frédérique Bec & Heino Bohn Nielsen & Sarra Saïdi, 2020. "Mixed Causal–Noncausal Autoregressions: Bimodality Issues in Estimation and Unit Root Testing," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1413-1428, December.
    4. Christian Gouriéroux & Joann Jasiak & Alain Monfort, 2016. "Stationary Bubble Equilibria in Rational Expectation Models," Working Papers 2016-31, Center for Research in Economics and Statistics.
    5. Francesco Giancaterini & Alain Hecq & Claudio Morana, 2022. "Is climate change time reversible?," Working Paper series 22-08, Rimini Centre for Economic Analysis, revised Dec 2022.
    6. Gianluca Cubadda & Francesco Giancaterini & Alain Hecq & Joann Jasiak, 2023. "Optimization of the Generalized Covariance Estimator in Noncausal Processes," Papers 2306.14653, arXiv.org, revised Jan 2024.
    7. Christian Gourieroux & Andrew Hencic & Joann Jasiak, 2021. "Forecast performance and bubble analysis in noncausal MAR(1, 1) processes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(2), pages 301-326, March.
    8. Alain Hecq & Elisa Voisin, 2019. "Predicting crashes in oil prices during the COVID-19 pandemic with mixed causal-noncausal models," Papers 1911.10916, arXiv.org, revised May 2022.
    9. Alain Hecq & Li Sun, 2019. "Identification of Noncausal Models by Quantile Autoregressions," Papers 1904.05952, arXiv.org.
    10. Giusto Andrea & İşcan Talan B., 2018. "The Rescaled VAR Model with an Application to Mixed-Frequency Macroeconomic Forecasting," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(4), pages 1-16, September.
    11. Xuanling Yang & Dong Li & Ting Zhang, 2024. "A simple stochastic nonlinear AR model with application to bubble," Papers 2401.07038, arXiv.org.
    12. Hecq, Alain & Voisin, Elisa, 2021. "Forecasting bubbles with mixed causal-noncausal autoregressive models," Econometrics and Statistics, Elsevier, vol. 20(C), pages 29-45.
    13. Blasques, Francisco & Nientker, Marc, 2023. "Stochastic properties of nonlinear locally-nonstationary filters," Journal of Econometrics, Elsevier, vol. 235(2), pages 2082-2095.
    14. Fries, Sébastien, 2018. "Conditional moments of noncausal alpha-stable processes and the prediction of bubble crash odds," MPRA Paper 97353, University Library of Munich, Germany, revised Nov 2019.
    15. Christian Gourieroux & Joann Jasiak & Michelle Tong, 2021. "Convolution‐based filtering and forecasting: An application to WTI crude oil prices," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1230-1244, November.
    16. Fries, Sébastien & Zakoian, Jean-Michel, 2017. "Mixed Causal-Noncausal AR Processes and the Modelling of Explosive Bubbles," MPRA Paper 81345, University Library of Munich, Germany.
    17. Alain Hecq & Joao Issler & Elisa Voisin, 2022. "A short term credibility index for central banks under inflation targeting: an application to Brazil," Papers 2205.00924, arXiv.org, revised Jul 2022.
    18. Gourieroux, Christian & Jasiak, Joann, 2018. "Misspecification of noncausal order in autoregressive processes," Journal of Econometrics, Elsevier, vol. 205(1), pages 226-248.
    19. Jean-Baptiste MICHAU, 2019. "Helicopter Drops of Money under Secular Stagnation," Working Papers 2019-10, Center for Research in Economics and Statistics.
    20. Hecq, Alain & Issler, João Victor & Telg, Sean, 2017. "Mixed Causal-Noncausal Autoregressions with Strictly Exogenous Regressors," MPRA Paper 80767, University Library of Munich, Germany.
    21. Christian Gouriéroux & Yang Lu, 2023. "Noncausal affine processes with applications to derivative pricing," Mathematical Finance, Wiley Blackwell, vol. 33(3), pages 766-796, July.

  8. Christian Gourieroux & Joann Jasiak & Peng Xu, 2016. "The Tradability Premium on the S&P 500 Index," Journal of Financial Econometrics, Oxford University Press, vol. 14(3), pages 461-495.

    Cited by:

    1. Mundel, Juan & Huddleston, Patricia & Vodermeier, Michael, 2017. "An exploratory study of consumers’ perceptions: What are affordable luxuries?," Journal of Retailing and Consumer Services, Elsevier, vol. 35(C), pages 68-75.

  9. Gourieroux, Christian & Lu, Yang, 2015. "Love and death: A Freund model with frailty," Insurance: Mathematics and Economics, Elsevier, vol. 63(C), pages 191-203.
    See citations under working paper version above.
  10. Gourieroux, C. & Monfort, A., 2015. "Pricing with finite dimensional dependence," Journal of Econometrics, Elsevier, vol. 187(2), pages 408-417.

    Cited by:

    1. Yang Lu, 2020. "A simple parameter‐driven binary time series model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 187-199, March.
    2. Chia-Lin Chang & Michael McAleer, 2014. "Econometric Analysis of Financial Derivatives: An Overview," Working Papers in Economics 14/29, University of Canterbury, Department of Economics and Finance.
    3. Chang, C-L. & McAleer, M.J., 2014. "Econometric Analysis of Financial Derivatives," Econometric Institute Research Papers EI 2015-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  11. Christian Gouriéroux & Jean-Michel Zakoïan, 2015. "On Uniqueness of Moving Average Representations of Heavy-tailed Stationary Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(6), pages 876-887, November.
    See citations under working paper version above.
  12. Gagliardini, Patrick & Gourieroux, Christian, 2014. "Efficiency In Large Dynamic Panel Models With Common Factors," Econometric Theory, Cambridge University Press, vol. 30(5), pages 961-1020, October.
    See citations under working paper version above.
  13. Christian Gourieroux & Alain Monfort & Fulvio Pegoraro & Jean-Paul Renne, 2014. "Regime Switching and Bond Pricing," Journal of Financial Econometrics, Oxford University Press, vol. 12(2), pages 237-277.
    See citations under working paper version above.
  14. Gouriéroux, C. & Monfort, A. & Renne, J.P., 2014. "Pricing default events: Surprise, exogeneity and contagion," Journal of Econometrics, Elsevier, vol. 182(2), pages 397-411.
    See citations under working paper version above.
  15. Gourieroux, C. & Monfort, A., 2013. "Linear-price term structure models," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 24-41.

    Cited by:

    1. Damir Filipović & Sander Willems, 2016. "Exact Smooth Term Structure Estimation," Swiss Finance Institute Research Paper Series 16-38, Swiss Finance Institute.
    2. Moreno, Manuel & Novales, Alfonso & Platania, Federico, 2018. "A term structure model under cyclical fluctuations in interest rates," Economic Modelling, Elsevier, vol. 72(C), pages 140-150.

  16. Gourieroux, C. & Heam, J.C. & Monfort, A., 2013. "Liquidation equilibrium with seniority and hidden CDO," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5261-5274.
    See citations under working paper version above.
  17. Christian Gouriéroux & Alain Monfort, 2013. "Pitfalls in the Estimation of Continuous Time Interest Rate Models: The Case of the CIR Model," Annals of Economics and Statistics, GENES, issue 109-110, pages 25-61.

    Cited by:

    1. Nikolai Dokuchaev, 2017. "A pathwise inference method for the parameters of diffusion terms," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 29(4), pages 731-743, October.

  18. Gagliardini, Patrick & Gouriéroux, Christian, 2013. "Correlated risks vs contagion in stochastic transition models," Journal of Economic Dynamics and Control, Elsevier, vol. 37(11), pages 2241-2269.
    See citations under working paper version above.
  19. C. Gourieroux & A. Monfort, 2013. "Allocating Systemic Risk In A Regulatory Perspective," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 16(07), pages 1-20.

    Cited by:

    1. Jan Dhaene & Roger J. A. Laeven & Yiying Zhang, 2019. "Systemic Risk: Conditional Distortion Risk Measures," Papers 1901.04689, arXiv.org, revised Jan 2019.
    2. Kley, Oliver & Klüppelberg, Claudia & Paterlini, Sandra, 2020. "Modelling extremal dependence for operational risk by a bipartite graph," Journal of Banking & Finance, Elsevier, vol. 117(C).
    3. Takaaki Koike & Marius Hofert, 2020. "Markov Chain Monte Carlo Methods for Estimating Systemic Risk Allocations," Risks, MDPI, vol. 8(1), pages 1-33, January.
    4. Takaaki Koike & Marius Hofert, 2019. "Markov Chain Monte Carlo Methods for Estimating Systemic Risk Allocations," Papers 1909.11794, arXiv.org, revised May 2020.

  20. Gourieroux, Christian & Zakoïan, Jean-Michel, 2013. "Estimation-Adjusted Var," Econometric Theory, Cambridge University Press, vol. 29(4), pages 735-770, August.
    See citations under working paper version above.
  21. C. Gouriéroux & J.-C. Héam & A. Monfort, 2012. "Bilateral exposures and systemic solvency risk," Canadian Journal of Economics, Canadian Economics Association, vol. 45(4), pages 1273-1309, November.
    See citations under working paper version above.
  22. Gourieroux, C. & Jasiak, J., 2012. "Granularity adjustment for default risk factor model with cohorts," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1464-1477.

    Cited by:

    1. Gordy, Michael B. & Marrone, James, 2012. "Granularity adjustment for mark-to-market credit risk models," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1896-1910.

  23. Gourieroux, Christian & Sufana, Razvan, 2011. "Discrete time Wishart term structure models," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 815-824, June.

    Cited by:

    1. Alfonsi, Aurélien & Kebaier, Ahmed & Rey, Clément, 2016. "Maximum likelihood estimation for Wishart processes," Stochastic Processes and their Applications, Elsevier, vol. 126(11), pages 3243-3282.
    2. Jos'e Da Fonseca & Alessandro Gnoatto & Martino Grasselli, 2012. "A flexible matrix Libor model with smiles," Papers 1203.4786, arXiv.org.
    3. Monfort, A. & Pegoraro, F., 2012. "Asset Pricing with Second-Order Esscher Transforms," Working papers 397, Banque de France.
    4. Monfort, A. & Renne, J.-P. & Roussellet, G., 2014. "A Quadratic Kalman Filter," Working papers 486, Banque de France.
    5. Kwai S. Leung & Hon Y. Ng & Hoi Y. Wong, 2014. "Stochastic Skew in the Interest Rate Cap Market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(12), pages 1146-1169, December.
    6. Chiarella, Carl & Da Fonseca, José & Grasselli, Martino, 2014. "Pricing range notes within Wishart affine models," Insurance: Mathematics and Economics, Elsevier, vol. 58(C), pages 193-203.
    7. Takamizawa, Hideyuki & 高見澤, 秀幸, 2015. "Impact of No-arbitrage on Interest Rate Dynamics," Working Paper Series G-1-5, Hitotsubashi University Center for Financial Research.
    8. Deelstra, Griselda & Grasselli, Martino & Van Weverberg, Christopher, 2016. "The role of the dependence between mortality and interest rates when pricing Guaranteed Annuity Options," Insurance: Mathematics and Economics, Elsevier, vol. 71(C), pages 205-219.
    9. Dubecq, Simon & Monfort, Alain & Renne, Jean-Paul & Roussellet, Guillaume, 2016. "Credit and liquidity in interbank rates: A quadratic approach," Journal of Banking & Finance, Elsevier, vol. 68(C), pages 29-46.

  24. Patrick Gagliardini & Christian Gouriéroux, 2011. "Approximate Derivative Pricing for Large Classes of Homogeneous Assets with Systematic Risk," Journal of Financial Econometrics, Oxford University Press, vol. 9(2), pages 237-280, Spring.
    See citations under working paper version above.
  25. P. Gagliardini & C. Gourieroux & E. Renault, 2011. "Efficient Derivative Pricing by the Extended Method of Moments," Econometrica, Econometric Society, vol. 79(4), pages 1181-1232, July.
    See citations under working paper version above.
  26. Gourieroux, Christian & Sufana, Razvan, 2010. "Derivative Pricing With Wishart Multivariate Stochastic Volatility," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(3), pages 438-451.

    Cited by:

    1. Gourieroux, Christian & Sufana, Razvan, 2011. "Discrete time Wishart term structure models," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 815-824, June.
    2. Manabu Asai & Michael McAleer, 2013. "Leverage and Feedback Effects on Multifactor Wishart Stochastic Volatility for Option Pricing," KIER Working Papers 840, Kyoto University, Institute of Economic Research.
    3. Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," Tinbergen Institute Discussion Papers 13-025/III, Tinbergen Institute.
    4. ROMBOUTS, Jeroen V. K. & STENTOFT, Lars & VIOLANTE, Francesco, 2012. "The value of multivariate model sophistication: an application to pricing Dow Jones Industrial Average options," LIDAM Discussion Papers CORE 2012003, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    5. Mayerhofer, Eberhard & Pfaffel, Oliver & Stelzer, Robert, 2011. "On strong solutions for positive definite jump diffusions," Stochastic Processes and their Applications, Elsevier, vol. 121(9), pages 2072-2086, September.
    6. Gaetano Bua & Daniele Marazzina, 2021. "On the application of Wishart process to the pricing of equity derivatives: the multi-asset case," Computational Management Science, Springer, vol. 18(2), pages 149-176, June.
    7. Da Fonseca, José, 2016. "On moment non-explosions for Wishart-based stochastic volatility models," European Journal of Operational Research, Elsevier, vol. 254(3), pages 889-894.
    8. Chiu, Mei Choi & Wong, Hoi Ying & Zhao, Jing, 2015. "Commodity derivatives pricing with cointegration and stochastic covariances," European Journal of Operational Research, Elsevier, vol. 246(2), pages 476-486.
    9. Rombouts, Jeroen V.K. & Stentoft, Lars, 2011. "Multivariate option pricing with time varying volatility and correlations," Journal of Banking & Finance, Elsevier, vol. 35(9), pages 2267-2281, September.
    10. Alfonsi, Aurélien & Kebaier, Ahmed & Rey, Clément, 2016. "Maximum likelihood estimation for Wishart processes," Stochastic Processes and their Applications, Elsevier, vol. 126(11), pages 3243-3282.
    11. Bruno Feunou & Ernest Tafolong, 2015. "Fourier Inversion Formulas for Multiple-Asset Option Pricing," Staff Working Papers 15-11, Bank of Canada.
    12. Jos'e Da Fonseca & Alessandro Gnoatto & Martino Grasselli, 2012. "A flexible matrix Libor model with smiles," Papers 1203.4786, arXiv.org.
    13. Monfort, A. & Pegoraro, F., 2012. "Asset Pricing with Second-Order Esscher Transforms," Working papers 397, Banque de France.
    14. Gourieroux, C. & Monfort, A. & Sufana, R., 2010. "International money and stock market contingent claims," Journal of International Money and Finance, Elsevier, vol. 29(8), pages 1727-1751, December.
    15. Song, Jian & Yao, Jianfeng & Yuan, Wangjun, 2022. "Recent advances on eigenvalues of matrix-valued stochastic processes," Journal of Multivariate Analysis, Elsevier, vol. 188(C).
    16. Chulmin Kang & Wanmo Kang & Jong Mun Lee, 2017. "Exact Simulation of the Wishart Multidimensional Stochastic Volatility Model," Operations Research, INFORMS, vol. 65(5), pages 1190-1206, October.
    17. Ovidiu Costin & Michael B. Gordy & Min Huang & Pawel J. Szerszen, 2013. "Expectations of functions of stochastic time with application to credit risk modeling," Finance and Economics Discussion Series 2013-14, Board of Governors of the Federal Reserve System (U.S.).
    18. Barnett William A. & Jawadi Fredj & Ftiti Zied, 2020. "Causal relationships between inflation and inflation uncertainty," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(5), pages 1-26, December.
    19. Aur'elien Alfonsi & David Krief & Peter Tankov, 2018. "Long-time large deviations for the multi-asset Wishart stochastic volatility model and option pricing," Papers 1806.06883, arXiv.org.
    20. Elena Hadjicosta & Donald Richards, 2020. "Integral transform methods in goodness-of-fit testing, II: the Wishart distributions," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(6), pages 1317-1370, December.
    21. Lars Stentoft, 2013. "American option pricing using simulation with an application to the GARCH model," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 5, pages 114-147, Edward Elgar Publishing.
    22. Branger, Nicole & Muck, Matthias, 2012. "Keep on smiling? The pricing of Quanto options when all covariances are stochastic," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1577-1591.
    23. Mayerhofer, Eberhard & Stelzer, Robert & Vestweber, Johanna, 2020. "Geometric ergodicity of affine processes on cones," Stochastic Processes and their Applications, Elsevier, vol. 130(7), pages 4141-4173.
    24. Chulmin Kang & Wanmo Kang, 2013. "Exact Simulation of Wishart Multidimensional Stochastic Volatility Model," Papers 1309.0557, arXiv.org.
    25. Alessandro Gnoatto & Martino Grasselli, 2011. "The explicit Laplace transform for the Wishart process," Papers 1107.2748, arXiv.org, revised Aug 2013.
    26. Chiarella, Carl & Da Fonseca, José & Grasselli, Martino, 2014. "Pricing range notes within Wishart affine models," Insurance: Mathematics and Economics, Elsevier, vol. 58(C), pages 193-203.
    27. Sonja Cox & Sven Karbach & Asma Khedher, 2022. "An infinite‐dimensional affine stochastic volatility model," Mathematical Finance, Wiley Blackwell, vol. 32(3), pages 878-906, July.
    28. Chiu, Mei Choi & Wong, Hoi Ying, 2014. "Mean–variance asset–liability management with asset correlation risk and insurance liabilities," Insurance: Mathematics and Economics, Elsevier, vol. 59(C), pages 300-310.
    29. Deelstra, Griselda & Grasselli, Martino & Van Weverberg, Christopher, 2016. "The role of the dependence between mortality and interest rates when pricing Guaranteed Annuity Options," Insurance: Mathematics and Economics, Elsevier, vol. 71(C), pages 205-219.
    30. Laurini, Márcio Poletti & Hotta, Luiz Koodi, 2013. "Indirect Inference in fractional short-term interest rate diffusions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 109-126.
    31. Ming Lin & Changjiang Liu & Linlin Niu, 2013. "Bayesian Estimation of Wishart Autoregressive Stochastic Volatility Model," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    32. Francesca Biagini & Alessandro Gnoatto & Maximilian Hartel, 2013. "Affine HJM Framework on $S_{d}^{+}$ and Long-Term Yield," Papers 1311.0688, arXiv.org, revised Aug 2015.

  27. Gourieroux, C. & Monfort, A. & Sufana, R., 2010. "International money and stock market contingent claims," Journal of International Money and Finance, Elsevier, vol. 29(8), pages 1727-1751, December.
    See citations under working paper version above.
  28. Patrick Gagliardini & Christian Gouriéroux & Alain Monfort, 2010. "Microinformation, Nonlinear Filtering, and Granularity," Journal of Financial Econometrics, Oxford University Press, vol. 10(1), pages 1-53, 2012 10 1.
    See citations under working paper version above.
  29. Darolles, Serge & Gourieroux, Christian, 2010. "Conditionally fitted Sharpe performance with an application to hedge fund rating," Journal of Banking & Finance, Elsevier, vol. 34(3), pages 578-593, March.

    Cited by:

    1. Massimiliano Caporin & Michele Costola & Gregory Mathieu Jannin & Bertrand Maillet, 2016. "On the (Ab)Use of Omega?," Working Papers hal-01697640, HAL.
    2. Brandouy, Olivier & Briec, Walter & Kerstens, Kristiaan, 2008. "Portfolio performance gauging in discrete time using a Luenberger productivity indicator," Working Papers 2008/60, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    3. Giannikis, Dimitrios & Vrontos, Ioannis D., 2011. "A Bayesian approach to detecting nonlinear risk exposures in hedge fund strategies," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1399-1414, June.
    4. Kerstens, Kristiaan & Mounir, Amine & de Woestyne, Ignace Van, 2011. "Non-parametric frontier estimates of mutual fund performance using C- and L-moments: Some specification tests," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1190-1201, May.
    5. Kristiaan Kerstens & Paolo Mazza & Tiantian Ren & Ignace van de Woestyne, 2022. "Multi-Time and Multi-Moment Nonparametric Frontier-Based Fund Rating: Proposal and Buy-and-Hold Backtesting Strategy," Post-Print hal-03833261, HAL.
    6. Bussière, Matthieu & Hoerova, Marie & Klaus, Benjamin, 2015. "Commonality in hedge fund returns: Driving factors and implications," Journal of Banking & Finance, Elsevier, vol. 54(C), pages 266-280.
    7. Schuhmacher, Frank & Eling, Martin, 2012. "A decision-theoretic foundation for reward-to-risk performance measures," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 2077-2082.
    8. Schuhmacher, Frank & Eling, Martin, 2011. "Sufficient conditions for expected utility to imply drawdown-based performance rankings," Journal of Banking & Finance, Elsevier, vol. 35(9), pages 2311-2318, September.
    9. Guo, Biao & Xiao, Yugu, 2016. "A note on why doesn't the choice of performance measure matter?," Finance Research Letters, Elsevier, vol. 16(C), pages 248-254.
    10. Díaz, Antonio & Esparcia, Carlos, 2021. "Dynamic optimal portfolio choice under time-varying risk aversion," International Economics, Elsevier, vol. 166(C), pages 1-22.
    11. Alfred Mbairadjim Moussa & Jules Sadefo Kamdem & Michel Terraza, 2012. "Fuzzy risk adjusted performance measures: application to Hedge funds," Working Papers 12-24, LAMETA, Universtiy of Montpellier, revised Sep 2012.
    12. Monica Billio & Bertrand Maillet & Loriana Pelizzon, 2021. "A meta-measure of performance related to both investors and investments characteristics," Post-Print hal-03543398, HAL.
    13. Badrinath, S.G. & Gubellini, S., 2011. "On the characteristics and performance of long-short, market-neutral and bear mutual funds," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1762-1776, July.
    14. Angelidis, Timotheos & Tessaromatis, Nikolaos, 2010. "The efficiency of Greek public pension fund portfolios," Journal of Banking & Finance, Elsevier, vol. 34(9), pages 2158-2167, September.
    15. Ozdemir, Huseyin & Ozdemir, Zeynel Abidin, 2021. "A Survey of Hedge and Safe Havens Assets against G-7 Stock Markets before and during the COVID-19 Pandemic," IZA Discussion Papers 14888, Institute of Labor Economics (IZA).
    16. Davide Venturelli & Alexei Kondratyev, 2018. "Reverse Quantum Annealing Approach to Portfolio Optimization Problems," Papers 1810.08584, arXiv.org, revised Oct 2018.

  30. Gouriéroux, Christian & Phillips, Peter C.B. & Yu, Jun, 2010. "Indirect inference for dynamic panel models," Journal of Econometrics, Elsevier, vol. 157(1), pages 68-77, July.
    See citations under working paper version above.
  31. Gourieroux, C. & Jasiak, J. & Sufana, R., 2009. "The Wishart Autoregressive process of multivariate stochastic volatility," Journal of Econometrics, Elsevier, vol. 150(2), pages 167-181, June.
    See citations under working paper version above.
  32. Darolles, Serge & Gourieroux, Christian & Jasiak, Joann, 2009. "L-performance with an application to hedge funds," Journal of Empirical Finance, Elsevier, vol. 16(4), pages 671-685, September.

    Cited by:

    1. Massimiliano Caporin & Michele Costola & Gregory Mathieu Jannin & Bertrand Maillet, 2016. "On the (Ab)Use of Omega?," Working Papers hal-01697640, HAL.
    2. Massimiliano Caporin & Grégory M. Jannin & Francesco Lisi & Bertrand Maillet, 2014. "A Survey on the Four Families of Performance Measures," Post-Print hal-01243416, HAL.
    3. Carole Bernard & Massimiliano Caporin & Bertrand Maillet & Xiang Zhang, 2023. "Omega Compatibility: A Meta-analysis," Computational Economics, Springer;Society for Computational Economics, vol. 62(2), pages 493-526, August.
    4. Kim, Woo Chang & Fabozzi, Frank J. & Cheridito, Patrick & Fox, Charles, 2014. "Controlling portfolio skewness and kurtosis without directly optimizing third and fourth moments," Economics Letters, Elsevier, vol. 122(2), pages 154-158.
    5. López-Díaz, Miguel & Sordo, Miguel A. & Suárez-Llorens, Alfonso, 2012. "On the Lp-metric between a probability distribution and its distortion," Insurance: Mathematics and Economics, Elsevier, vol. 51(2), pages 257-264.
    6. Hachmi Ben Ameur & Fredj Jawadi & Abdoulkarim Idi Cheffou & Wael Louhichi, 2018. "Measurement errors in stock markets," Annals of Operations Research, Springer, vol. 262(2), pages 287-306, March.
    7. Philippe Bernard & Najat El Mekkaoui de Freitas & Bertrand Maillet, 2022. "A Financial Fraud Detection Indicator for Investors: An IDeA," Post-Print hal-02312401, HAL.
    8. Darolles, Serge & Gourieroux, Christian, 2010. "Conditionally fitted Sharpe performance with an application to hedge fund rating," Journal of Banking & Finance, Elsevier, vol. 34(3), pages 578-593, March.
    9. Monica Billio & Bertrand Maillet & Loriana Pelizzon, 2021. "A meta-measure of performance related to both investors and investments characteristics," Post-Print hal-03543398, HAL.
    10. Jules Sadefo Kamdem & Zoulkiflou Moumouni, 2020. "Comparison of Some Static Hedging Models of Agricultural Commodities Price Uncertainty," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(3), pages 631-655, September.
    11. Serge Darolles & Christian Gouriéroux, 2013. "The Effects of Management and Provision Accounts on Hedge Fund Returns - Part I : The High Water Mark Scheme," Working Papers 2013-22, Center for Research in Economics and Statistics.
    12. Anna E. Olkova, 2017. "Mutual Funds Performance Assessment Techniques: Comparative Analysis," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 3, pages 85-95, June.
    13. Andrea Bastianin, 2020. "Robust measures of skewness and kurtosis for macroeconomic and financial time series," Applied Economics, Taylor & Francis Journals, vol. 52(7), pages 637-670, February.
    14. Zoulkiflou Moumouni & Jules Sadefo-Kamdem, 2019. "New models of commodity risk hedging according to the behavior of economic decision-makers or Rollover Strategies," Working Papers hal-02417459, HAL.
    15. Bertrand B. Maillet & Jean-Philippe R. M�decin, 2010. "Extreme Volatilities, Financial Crises and L-moment Estimations of Tail-indexes," Working Papers 2010_10, Department of Economics, University of Venice "Ca' Foscari".

  33. Gouriéroux, Christian & Laferrère, Anne, 2009. "Managing hedonic housing price indexes: The French experience," Journal of Housing Economics, Elsevier, vol. 18(3), pages 206-213, September.

    Cited by:

    1. Gabriel Loumeau & Antonio Russo, 2022. "Second-Hand Gentrification: Theory and Evidence from High-Speed Rail Extensions," CESifo Working Paper Series 9992, CESifo.
    2. Davor Kunovac & Enes Đozović & Gorana Lukinić & Andreja Pufnik, 2008. "Use of the Hedonic Method to Calculate an Index of Real Estate Prices in Croatia," Working Papers 19, The Croatian National Bank, Croatia.
    3. Fabian Y.R.P. Bocart & Christian M. Hafner, 2012. "Volatility of price indices for heterogeneous goods," SFB 649 Discussion Papers SFB649DP2012-039, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    4. Hill, Robert J. & Melser, Daniel & Syed, Iqbal, 2009. "Measuring a boom and bust: The Sydney housing market 2001-2006," Journal of Housing Economics, Elsevier, vol. 18(3), pages 193-205, September.
    5. Liao, Wen-Chi & Wang, Xizhu, 2012. "Hedonic house prices and spatial quantile regression," Journal of Housing Economics, Elsevier, vol. 21(1), pages 16-27.
    6. Mundaca, Fernando & Sánchez, Elmer, 2018. "Índice de precios de inmuebles: Un enfoque hedónico," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 36, pages 55-74.
    7. Carmona, Juan & Lampe, Markus & Rosés, Joan R., 2012. "Housing markets during the rural-urban transition : evidence from early 20th century Spain," IFCS - Working Papers in Economic History.WH wp12-10, Universidad Carlos III de Madrid. Instituto Figuerola.
    8. Guillaume Chapelle & Jean Benoît Eyméoud, 2022. "Can big data increase our knowledge of local rental markets? A dataset on the rental sector in France," Post-Print hal-03592434, HAL.
    9. Ferrara, L. & Vigna, O., 2009. "Cyclical relationships between GDP and housing market in France: Facts and factors at play," Working papers 268, Banque de France.
    10. Jing Wu & Yongheng Deng & Hongyu Liu, 2014. "House Price Index Construction in the Nascent Housing Market: The Case of China," The Journal of Real Estate Finance and Economics, Springer, vol. 48(3), pages 522-545, April.

  34. Gourieroux, C. & Monfort, A., 2008. "Quadratic stochastic intensity and prospective mortality tables," Insurance: Mathematics and Economics, Elsevier, vol. 43(1), pages 174-184, August.
    See citations under working paper version above.
  35. Gourieroux, C. & Jasiak, J., 2008. "Dynamic quantile models," Journal of Econometrics, Elsevier, vol. 147(1), pages 198-205, November.
    See citations under working paper version above.
  36. P. Gagliardini & C. Gourieroux, 2008. "Duration time‐series models with proportional hazard," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(1), pages 74-124, January.
    See citations under working paper version above.
  37. Feng, D. & Gourieroux, C. & Jasiak, J., 2008. "The ordered qualitative model for credit rating transitions," Journal of Empirical Finance, Elsevier, vol. 15(1), pages 111-130, January.
    See citations under working paper version above.
  38. Gourieroux, C. & Monfort, A., 2007. "Econometric specification of stochastic discount factor models," Journal of Econometrics, Elsevier, vol. 136(2), pages 509-530, February.

    Cited by:

    1. Henri Bertholon & Alain Monfort & Fulvio Pegoraro, 2007. "Econometric Asset Pricing Modelling," Working Papers 2007-18, Center for Research in Economics and Statistics.
    2. Peter Christoffersen & Redouane Elkamhi & Bruno Feunou & Kris Jacobs, 2009. "Option Valuation with Conditional Heteroskedasticity and Non-Normality," CIRANO Working Papers 2009s-32, CIRANO.
    3. Rombouts, Jeroen V.K. & Stentoft, Lars, 2011. "Multivariate option pricing with time varying volatility and correlations," Journal of Banking & Finance, Elsevier, vol. 35(9), pages 2267-2281, September.
    4. Fengler, Matthias & Melnikov, Alexander, 2017. "GARCH option pricing models with Meixner innovations," Economics Working Paper Series 1702, University of St. Gallen, School of Economics and Political Science.
    5. Dominique Guegan & Jing Zhang, 2009. "Pricing bivariate option under GARCH-GH model with dynamic copula: application for Chinese market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00368336, HAL.
    6. Christophe Chorro & Dominique Guegan & Florian Ielpo, 2008. "Option Pricing under GARCH models with Generalized Hyperbolic innovations (I) : Methodology," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00281585, HAL.
    7. Bertholon, H. & Monfort, A. & Pegoraro, F., 2007. "Pricing and Inference with Mixtures of Conditionally Normal Processes," Working papers 188, Banque de France.
    8. Monfort, A. & Pegoraro, F., 2012. "Asset Pricing with Second-Order Esscher Transforms," Working papers 397, Banque de France.
    9. ROMBOUTS, Jeroen V.K. & STENTOFT, Lars, 2009. "Bayesian option pricing using mixed normal heteroskedasticity models," LIDAM Discussion Papers CORE 2009013, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    10. Gourieroux, C. & Monfort, A. & Sufana, R., 2010. "International money and stock market contingent claims," Journal of International Money and Finance, Elsevier, vol. 29(8), pages 1727-1751, December.
    11. Dominique Guegan & Jing Zhang, 2009. "Pricing bivariate option under GARCH-GH model with dynamic copula: application for Chinese market," PSE-Ecole d'économie de Paris (Postprint) halshs-00368336, HAL.
    12. Alain Monfort, 2008. "Optimal portfolio allocation under asset and surplus VaR constraints," Journal of Asset Management, Palgrave Macmillan, vol. 9(3), pages 178-192, September.
    13. Adam Aleksander Majewski & Giacomo Bormetti & Fulvio Corsi, 2014. "Smile from the Past: A general option pricing framework with multiple volatility and leverage components," Papers 1404.3555, arXiv.org.
    14. Andreou, Panayiotis C. & Kagkadis, Anastasios & Philip, Dennis & Taamouti, Abderrahim, 2019. "The information content of forward moments," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 527-541.
    15. Charles S. Tapiero, 2015. "A financial CCAPM and economic inequalities," Quantitative Finance, Taylor & Francis Journals, vol. 15(3), pages 521-534, March.
    16. Badescu, Alex & Elliott, Robert J. & Siu, Tak Kuen, 2009. "Esscher transforms and consumption-based models," Insurance: Mathematics and Economics, Elsevier, vol. 45(3), pages 337-347, December.
    17. Francesca Lilla, 2021. "Volatility Bursts: A discrete-time option model with multiple volatility components," Temi di discussione (Economic working papers) 1336, Bank of Italy, Economic Research and International Relations Area.
    18. Lars Stentoft, 2013. "American option pricing using simulation with an application to the GARCH model," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 5, pages 114-147, Edward Elgar Publishing.
    19. Augustyniak, Maciej & Badescu, Alexandru & Bégin, Jean-François, 2023. "A discrete-time hedging framework with multiple factors and fat tails: On what matters," Journal of Econometrics, Elsevier, vol. 232(2), pages 416-444.
    20. Javier Mencía, 2009. "Assessing the risk-return trade-off in loans portfolios," Working Papers 0911, Banco de España.
    21. ROMBOUTS, Jeroen V. K. & STENTOFT, Lars, 2010. "Option pricing with asymmetric heteroskedastic normal mixture models," LIDAM Discussion Papers CORE 2010049, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    22. Alain Monfort & Fulvio Pegoraro, 2007. "Switching VARMA Term Structure Models - Extended Version," Working Papers 2007-19, Center for Research in Economics and Statistics.
    23. Alain Monfort & Fulvio Pegoraro, 2006. "Multi-Lag Term Structure Models with Stochastic Risk Premia," Working Papers 2006-29, Center for Research in Economics and Statistics.
    24. Gagliardini, Patrick & Ronchetti, Diego, 2013. "Semi-parametric estimation of American option prices," Journal of Econometrics, Elsevier, vol. 173(1), pages 57-82.
    25. M. Martin Boyer & Lars Stentoft, 2012. "If we can simulate it, we can insure it: An application to longevity risk management," CIRANO Working Papers 2012s-08, CIRANO.
    26. Lars Stentoft, 2011. "What we can learn from pricing 139,879 Individual Stock Options," CREATES Research Papers 2011-52, Department of Economics and Business Economics, Aarhus University.
    27. Majewski, Adam A. & Bormetti, Giacomo & Corsi, Fulvio, 2015. "Smile from the past: A general option pricing framework with multiple volatility and leverage components," Journal of Econometrics, Elsevier, vol. 187(2), pages 521-531.
    28. Alexandru Badescu & Robert J. Elliott & Juan-Pablo Ortega, 2012. "Quadratic hedging schemes for non-Gaussian GARCH models," Papers 1209.5976, arXiv.org, revised Dec 2013.
    29. Corsi, Fulvio & Fusari, Nicola & La Vecchia, Davide, 2013. "Realizing smiles: Options pricing with realized volatility," Journal of Financial Economics, Elsevier, vol. 107(2), pages 284-304.
    30. Jean-Guy Simonato & Lars Stentoft, 2015. "Which pricing approach for options under GARCH with non-normal innovations?," CREATES Research Papers 2015-32, Department of Economics and Business Economics, Aarhus University.
    31. Gomes, Pedro & Taamouti, Abderrahim, 2016. "In search of the determinants of European asset market comovements," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 103-117.

  39. Gagliardini, Patrick & Gourieroux, Christian, 2007. "An efficient nonparametric estimator for models with nonlinear dependence," Journal of Econometrics, Elsevier, vol. 137(1), pages 189-229, March.

    Cited by:

    1. Ariel M. Viale & David A. Bessler & James W. Kolari, 2014. "On the structure of financial contagion: Econometric tests and Mercosur evidence," Journal of Applied Economics, Universidad del CEMA, vol. 17, pages 373-400, November.
    2. Gagliardini, Patrick & Scaillet, Olivier, 2012. "Tikhonov regularization for nonparametric instrumental variable estimators," Journal of Econometrics, Elsevier, vol. 167(1), pages 61-75.
    3. Beare, Brendan K., 2009. "Copulas and Temporal Dependence," University of California at San Diego, Economics Working Paper Series qt87p829d4, Department of Economics, UC San Diego.
    4. Hernández-Lobato, José Miguel & Suárez, Alberto, 2011. "Semiparametric bivariate Archimedean copulas," Computational Statistics & Data Analysis, Elsevier, vol. 55(6), pages 2038-2058, June.
    5. Chen, Xiaohong & Fan, Yanqin, 2006. "Estimation of copula-based semiparametric time series models," Journal of Econometrics, Elsevier, vol. 130(2), pages 307-335, February.
    6. Patrick Gagliardini & Christian Gourieroux, 2002. "Duration Time Series Models with Proportional Hazard," Working Papers 2002-21, Center for Research in Economics and Statistics.

  40. C. Gourieroux, 2007. "Positivity Conditions for a Bivariate Autoregressive Volatility Specification," Journal of Financial Econometrics, Oxford University Press, vol. 5(4), pages 624-636, Fall.

    Cited by:

    1. Karanasos, Menelaos & Xu, Yongdeng & Yfanti, Stavroula, 2017. "Constrained QML Estimation for Multivariate Asymmetric MEM with Spillovers: The Practicality of Matrix Inequalities," Cardiff Economics Working Papers E2017/14, Cardiff University, Cardiff Business School, Economics Section.
    2. Nakatani, Tomoaki & Teräsvirta, Timo, 2007. "Positivity Constraints on the Conditional Variances in the Family of Conditional Correlation GARCH Models," SSE/EFI Working Paper Series in Economics and Finance 675, Stockholm School of Economics, revised 14 Feb 2008.
    3. de Almeida, Daniel & Hotta, Luiz K. & Ruiz, Esther, 2018. "MGARCH models: Trade-off between feasibility and flexibility," International Journal of Forecasting, Elsevier, vol. 34(1), pages 45-63.
    4. Christian Conrad & Menelaos Karanasos, 2008. "Negative Volatility Spillovers in the Unrestricted ECCC-GARCH Model," KOF Working papers 08-189, KOF Swiss Economic Institute, ETH Zurich.

  41. Joann Jasiak & Christian Gourieroux, 2006. "Autoregressive gamma processes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(2), pages 129-152.

    Cited by:

    1. Gianni Amisano & Roberto Casarin, 2008. "Particle Filters for Markov-Switching Stochastic-Correlation Models," Working Papers 0814, University of Brescia, Department of Economics.
    2. Gourieroux, Christian & Sufana, Razvan, 2011. "Discrete time Wishart term structure models," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 815-824, June.
    3. Patrick GAGLIARDINI & Christian GOURIEROUX, 2010. "Approximate Derivative Pricing for Large Classes of Homogeneous Assets with Systematic Risk," Working Papers 2010-07, Center for Research in Economics and Statistics.
    4. Patrick Gagliardini & Christian Gouriéroux, 2012. "Correlated Risks vs Contagion in Stochastic Transition Models," Working Papers 2012-07, Center for Research in Economics and Statistics.
    5. Henri Bertholon & Alain Monfort & Fulvio Pegoraro, 2007. "Econometric Asset Pricing Modelling," Working Papers 2007-18, Center for Research in Economics and Statistics.
    6. Dario Alitab & Giacomo Bormetti & Fulvio Corsi & Adam A. Majewski, 2019. "A realized volatility approach to option pricing with continuous and jump variance components," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 42(2), pages 639-664, December.
    7. Timothy Christensen, 2014. "Nonparametric Stochastic Discount Factor Decomposition," Papers 1412.4428, arXiv.org, revised May 2017.
    8. Yang Lu, 2020. "A simple parameter‐driven binary time series model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 187-199, March.
    9. Matteo Iacopini & Carlo R. M. A. Santagiustina, 2020. "Filtering the intensity of public concern from social media count data with jumps," Papers 2012.13267, arXiv.org.
    10. Roberto Leon-Gonzalez, 2014. "Efficient Bayesian Inference in Generalized Inverse Gamma Processes for Stochastic Volatility," Working Paper series 19_14, Rimini Centre for Economic Analysis.
    11. Patrick Augustin & Mikhail Chernov & Lukas Schmid & Dongho Song, 2019. "Benchmark Interest Rates When the Government is Risky," NBER Working Papers 26429, National Bureau of Economic Research, Inc.
    12. Gouriéroux, C. & Monfort, A. & Renne, J.P., 2014. "Pricing default events: Surprise, exogeneity and contagion," Journal of Econometrics, Elsevier, vol. 182(2), pages 397-411.
    13. Rachidi Kotchoni, 2012. "Applications of the Characteristic Function Based Continuum GMM in Finance," Post-Print hal-00867795, HAL.
    14. Jeremy Graveline & Irina Zviadadze & Mikhail Chernov, 2012. "Crash Risk in Currency Returns," 2012 Meeting Papers 753, Society for Economic Dynamics.
    15. Geert Bekaert & Eric Engstrom & Andrey Ermolov, 2023. "The Variance Risk Premium in Equilibrium Models," Review of Finance, European Finance Association, vol. 27(6), pages 1977-2014.
    16. Ermolov, Andrey, 2022. "Time-varying risk of nominal bonds: How important are macroeconomic shocks?," Journal of Financial Economics, Elsevier, vol. 145(1), pages 1-28.
    17. Renne, J-P., 2009. "Frequency-domain analysis of debt service in a macro-finance model for the euro area," Working papers 261, Banque de France.
    18. Drew D. Creal & Jing Cynthia Wu, 2016. "Bond Risk Premia in Consumption-based Models," NBER Working Papers 22183, National Bureau of Economic Research, Inc.
    19. Alain MONFORT & Jean-Paul RENNE & Guillaume ROUSSELLET, 2020. "Affine Modeling of Credit Risk, Pricing of Credit Events and Contagion," Working Papers 2020-01, Center for Research in Economics and Statistics.
    20. Irina Zviadadze, 2017. "Term Structure of Consumption Risk Premia in the Cross Section of Currency Returns," Journal of Finance, American Finance Association, vol. 72(4), pages 1529-1566, August.
    21. Roberto Casarin, 2005. "Stochastic Processes in Credit Risk Modelling," Working Papers ubs0505, University of Brescia, Department of Economics.
    22. Michael Gallmeyer & Burton Hollifield & Francisco Palomino & Stanley Zin, 2017. "Term Premium Dynamics and the Taylor Rule," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 7(04), pages 1-39, December.
    23. Alain Monfort & Fulvio Pegoraro & Jean-Paul Renne & Guillaume Roussellet, 2017. "Staying at zero with affine processes : an application to term structure modelling," Rue de la Banque, Banque de France, issue 52, november.
    24. Zhuo Huang & Chen Tong & Tianyi Wang, 2019. "VIX term structure and VIX futures pricing with realized volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(1), pages 72-93, January.
    25. Gouriéroux Christian & Monfort Alain & Mouabbi Sarah & Renne Jean-Paul, 2020. "Disastrous Defaults," Working papers 778, Banque de France.
    26. Timothy M. Christensen, 2014. "Nonparametric identification of positive eigenfunctions," CeMMAP working papers CWP37/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    27. Drew D. Creal & Jing Cynthia Wu, 2014. "Estimation of Affine Term Structure Models with Spanned or Unspanned Stochastic Volatility," NBER Working Papers 20115, National Bureau of Economic Research, Inc.
    28. Marco Giacoletti & Kristoffer T. Laursen & Kenneth J. Singleton, 2021. "Learning From Disagreement in the U.S. Treasury Bond Market," Journal of Finance, American Finance Association, vol. 76(1), pages 395-441, February.
    29. Hsu, Alex & Palomino, Francisco, 2015. "A simple nonnegative process for equilibrium models," Economics Letters, Elsevier, vol. 132(C), pages 39-44.
    30. Adam Aleksander Majewski & Giacomo Bormetti & Fulvio Corsi, 2014. "Smile from the Past: A general option pricing framework with multiple volatility and leverage components," Papers 1404.3555, arXiv.org.
    31. Serge Darolles & Patrick Gagliardini & Christian Gouriéroux, 2012. "Survival of Hedge Funds : Frailty vs Contagion," Working Papers 2012-36, Center for Research in Economics and Statistics.
    32. Sanfelici Simona & Uboldi Adamo, 2014. "Assessing the quality of volatility estimators via option pricing," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(2), pages 1-22, April.
    33. MEDDAHI, Nour, 2001. "An Eigenfunction Approach for Volatility Modeling," Cahiers de recherche 2001-29, Universite de Montreal, Departement de sciences economiques.
    34. Javier Mencía & Enrique Sentana, 2015. "Volatility-Related Exchange Traded Assets: An Econometric Investigation," Working Papers wp2015_1501, CEMFI.
    35. Timothy M. Christensen, 2015. "Nonparametric stochastic discount factor decomposition," CeMMAP working papers CWP24/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    36. Yang Lu & Christian Gourieroux, 2018. "Negative Binomial Autoregressive Process," CEPN Working Papers hal-01730050, HAL.
    37. Roberto Leon-Gonzalez & Blessings Majoni, 2023. "Exact Likelihood for Inverse Gamma Stochastic Volatility Models," Working Paper series 23-11, Rimini Centre for Economic Analysis.
    38. Francesca Lilla, 2021. "Volatility Bursts: A discrete-time option model with multiple volatility components," Temi di discussione (Economic working papers) 1336, Bank of Italy, Economic Research and International Relations Area.
    39. Antoine, Bertille & Renault, Eric, 2012. "Efficient minimum distance estimation with multiple rates of convergence," Journal of Econometrics, Elsevier, vol. 170(2), pages 350-367.
    40. Patrick Augustin & Mikhail Chernov & Dongho Song, 2018. "Sovereign Credit Risk and Exchange Rates: Evidence from CDS Quanto Spreads," NBER Working Papers 24506, National Bureau of Economic Research, Inc.
    41. Han, Hyojin, 2020. "On the identification of models with conditional characteristic functions," Economics Letters, Elsevier, vol. 186(C).
    42. Bruno Feunou & Roméo Tedongap, 2011. "A Stochastic Volatility Model with Conditional Skewness," Staff Working Papers 11-20, Bank of Canada.
    43. Adam Golinski & Peter Spencer, 2012. "The Meiselman forward interest rate revision regression as an Affine Term Structure Model," Discussion Papers 12/27, Department of Economics, University of York.
    44. Dalderop, Jeroen, 2023. "Semiparametric estimation of latent variable asset pricing models," Journal of Econometrics, Elsevier, vol. 236(1).
    45. Traeger, Christian P. & Meier, Felix D., 2023. "Uncertain Remedies to Fight Uncertain Consequences: The Case of Solar Geoengineering," RFF Working Paper Series 23-37, Resources for the Future.
    46. Christian Gourieroux & Wei Liu, 2009. "Control and Out‐of‐Sample Validation of Dependent Risks," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(3), pages 683-707, September.
    47. Hong Li & Yang Lu, 2018. "A Bayesian non-parametric model for small population mortality," Post-Print hal-02419000, HAL.
    48. Irina Zviadadze, 2017. "Term Structure of Risk on Macrofinance Models," 2017 Meeting Papers 965, Society for Economic Dynamics.
    49. Majewski, A. A. & Bormetti, G. & Corsi, F., 2013. "Smile from the Past: A general option pricing framework with multiple volatility and leverage components," Working Papers 13/11, Department of Economics, City University London.
    50. Christian Gourieroux & Yang Lu, 2013. "Long Term Care and Longevity," Working Papers 2013-16, Center for Research in Economics and Statistics.
    51. Yang Lu, 2018. "Dynamic Frailty Count Process in Insurance: A Unified Framework for Estimation, Pricing, and Forecasting," Post-Print halshs-02418950, HAL.
    52. Tian, Fengping & Yang, Ke & Chen, Langnan, 2017. "Realized volatility forecasting of agricultural commodity futures using the HAR model with time-varying sparsity," International Journal of Forecasting, Elsevier, vol. 33(1), pages 132-152.
    53. Timothy M. Christensen, 2014. "Nonparametric identification of positive eigenfunctions," CeMMAP working papers 37/14, Institute for Fiscal Studies.
    54. Caporin, Massimiliano & Preś, Juliusz, 2012. "Modelling and forecasting wind speed intensity for weather risk management," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3459-3476.
    55. Yow-Jen Jou & Chih-Wei Wang & Wan-Chien Chiu, 2013. "Is the realized volatility good for option pricing during the recent financial crisis?," Review of Quantitative Finance and Accounting, Springer, vol. 40(1), pages 171-188, January.
    56. Alain Monfort & Fulvio Pegoraro, 2007. "Switching VARMA Term Structure Models - Extended Version," Working Papers 2007-19, Center for Research in Economics and Statistics.
    57. Geert Bekaert & Eric Engstrom & Andrey Ermolov, 2017. "Macro Risks and the Term Structure of Interest Rates," Finance and Economics Discussion Series 2017-058, Board of Governors of the Federal Reserve System (U.S.).
    58. Gagliardini, Patrick & Ronchetti, Diego, 2013. "Semi-parametric estimation of American option prices," Journal of Econometrics, Elsevier, vol. 173(1), pages 57-82.
    59. Yang Lu & Christian Gourieroux, 2018. "Negative Binomial Autoregressive Process," Working Papers hal-01730050, HAL.
    60. Fulop, Andras & Heng, Jeremy & Li, Junye & Liu, Hening, 2022. "Bayesian estimation of long-run risk models using sequential Monte Carlo," Journal of Econometrics, Elsevier, vol. 228(1), pages 62-84.
    61. Majewski, Adam A. & Bormetti, Giacomo & Corsi, Fulvio, 2015. "Smile from the past: A general option pricing framework with multiple volatility and leverage components," Journal of Econometrics, Elsevier, vol. 187(2), pages 521-531.
    62. Chiranjit Dutta & Nalini Ravishanker & Sumanta Basu, 2022. "Modeling Multivariate Positive-Valued Time Series Using R-INLA," Papers 2206.05374, arXiv.org, revised Jul 2022.
    63. Siqi Wei, 2022. "Income, Employment and Health Risks of Older Workers," Working Papers wp2022_2205, CEMFI.
    64. Corsi, Fulvio & Fusari, Nicola & La Vecchia, Davide, 2013. "Realizing smiles: Options pricing with realized volatility," Journal of Financial Economics, Elsevier, vol. 107(2), pages 284-304.
    65. Peter Knaus & Sylvia Fruhwirth-Schnatter, 2023. "The Dynamic Triple Gamma Prior as a Shrinkage Process Prior for Time-Varying Parameter Models," Papers 2312.10487, arXiv.org.
    66. Yeny E. Rodríguez & Miguel A. Pérez-Uribe & Javier Contreras, 2021. "Wind Put Barrier Options Pricing Based on the Nordix Index," Energies, MDPI, vol. 14(4), pages 1-14, February.
    67. Kalli, Maria & Griffin, Jim E., 2014. "Time-varying sparsity in dynamic regression models," Journal of Econometrics, Elsevier, vol. 178(2), pages 779-793.
    68. Gagliardini, Patrick & Gouriéroux, Christian, 2019. "Identification by Laplace transforms in nonlinear time series and panel models with unobserved stochastic dynamic effects," Journal of Econometrics, Elsevier, vol. 208(2), pages 613-637.
    69. Timothy M. Christensen, 2015. "Nonparametric stochastic discount factor decomposition," CeMMAP working papers 24/15, Institute for Fiscal Studies.
    70. Matteo Iacopini & Carlo Romano Marcello Alessandro Santagiustina, 2021. "Filtering the Intensity of Public Concern from Social Media Count Data with Jumps," Post-Print hal-04494229, HAL.
    71. Augustin, Patrick & Saleh, Fahad & Xu, Haohua, 2020. "CDS Returns," Journal of Economic Dynamics and Control, Elsevier, vol. 118(C).
    72. Han, Hyojin & Khrapov, Stanislav & Renault, Eric, 2020. "The leverage effect puzzle revisited: Identification in discrete time," Journal of Econometrics, Elsevier, vol. 217(2), pages 230-258.
    73. Andras Fulop & Jeremy Heng & Junye Li, 2022. "Efficient Likelihood-based Estimation via Annealing for Dynamic Structural Macrofinance Models," Papers 2201.01094, arXiv.org.
    74. Chernov, Mikhail & Graveline, Jeremy & Zviadadze, Irina, 2012. "Sources of Risk in Currency Returns," CEPR Discussion Papers 8745, C.E.P.R. Discussion Papers.
    75. Christian Gouriéroux & Yang Lu, 2023. "Noncausal affine processes with applications to derivative pricing," Mathematical Finance, Wiley Blackwell, vol. 33(3), pages 766-796, July.
    76. Minxian Yang, 2014. "The Risk Return Relationship: Evidence from Index Return and Realised Variance Series," Discussion Papers 2014-16, School of Economics, The University of New South Wales.
    77. Yang, Minxian, 2019. "The risk return relationship: Evidence from index returns and realised variances," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.

  42. Gourieroux, Christian & Jasiak, Joann, 2006. "Multivariate Jacobi process with application to smooth transitions," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 475-505.

    Cited by:

    1. Damir Filipovi'c & Martin Larsson, 2017. "Polynomial Jump-Diffusion Models," Papers 1711.08043, arXiv.org, revised Jul 2019.
    2. Christa Cuchiero, 2017. "Polynomial processes in stochastic portfolio theory," Papers 1705.03647, arXiv.org.
    3. Ardian, Aldin & Kumral, Mustafa, 2020. "Incorporating stochastic correlations into mining project evaluation using the Jacobi process," Resources Policy, Elsevier, vol. 65(C).
    4. Almut Veraart & Luitgard Veraart, 2012. "Stochastic volatility and stochastic leverage," Annals of Finance, Springer, vol. 8(2), pages 205-233, May.
    5. Julie Lyng Forman & Michael Sørensen, 2008. "The Pearson Diffusions: A Class of Statistically Tractable Diffusion Processes," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 35(3), pages 438-465, September.
    6. Damien Ackerer & Damir Filipović, 2020. "Linear credit risk models," Finance and Stochastics, Springer, vol. 24(1), pages 169-214, January.
    7. Bouleau, Nicolas & Chorro, Christophe, 2017. "The impact of randomness on the distribution of wealth: Some economic aspects of the Wright–Fisher diffusion process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 379-395.
    8. Christa Cuchiero & Martin Keller-Ressel & Josef Teichmann, 2012. "Polynomial processes and their applications to mathematical finance," Finance and Stochastics, Springer, vol. 16(4), pages 711-740, October.
    9. Wu, Ximing, 2010. "Exponential Series Estimator of multivariate densities," Journal of Econometrics, Elsevier, vol. 156(2), pages 354-366, June.
    10. Larsson, Martin & Pulido, Sergio, 2017. "Polynomial diffusions on compact quadric sets," Stochastic Processes and their Applications, Elsevier, vol. 127(3), pages 901-926.
    11. Cuchiero, Christa, 2019. "Polynomial processes in stochastic portfolio theory," Stochastic Processes and their Applications, Elsevier, vol. 129(5), pages 1829-1872.
    12. Christian Bontemps & Nour Meddahi, 2012. "Testing distributional assumptions: A GMM aproach," Post-Print hal-02875123, HAL.
    13. Nicolas Bouleau & Christophe Chorro, 2017. "The impact of randomness on the distribution of wealth: Some economic aspects of the Wright-Fisher diffusion process," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01138383, HAL.
    14. Nicolas Bouleau & Christophe Chorro, 2015. "The impact of randomness on the distribution of wealth: Some economic aspects of the Wright-Fisher diffusion process," Documents de travail du Centre d'Economie de la Sorbonne 15024r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Jul 2015.
    15. Suhan Altay & Katia Colaneri & Zehra Eksi, 2017. "Pairs Trading under Drift Uncertainty and Risk Penalization," Papers 1704.06697, arXiv.org, revised Sep 2018.
    16. Ahdida, Abdelkoddousse & Alfonsi, Aurélien, 2013. "A mean-reverting SDE on correlation matrices," Stochastic Processes and their Applications, Elsevier, vol. 123(4), pages 1472-1520.
    17. Abdelkoddousse Ahdida & Aurélien Alfonsi, 2013. "A Mean-Reverting SDE on Correlation matrices," Post-Print hal-00617111, HAL.
    18. Nicolas Bouleau & Christophe Chorro, 2017. "The impact of randomness on the distribution of wealth: Some economic aspects of the Wright-Fisher diffusion process," Post-Print hal-01138383, HAL.
    19. Damien Ackerer & Damir Filipovi'c, 2016. "Linear Credit Risk Models," Papers 1605.07419, arXiv.org, revised Jul 2019.
    20. Damir Filipović & Martin Larsson, 2016. "Polynomial diffusions and applications in finance," Finance and Stochastics, Springer, vol. 20(4), pages 931-972, October.
    21. Damien Ackerer & Damir Filipović & Sergio Pulido, 2018. "The Jacobi stochastic volatility model," Finance and Stochastics, Springer, vol. 22(3), pages 667-700, July.
    22. Abdelkoddousse Ahdida & Aur'elien Alfonsi, 2011. "A Mean-Reverting SDE on Correlation matrices," Papers 1108.5264, arXiv.org, revised Feb 2012.
    23. Nicolas Bouleau & Christophe Chorro, 2015. "The impact of randomness on the distribution of wealth: Some economic aspects of the Wright-Fisher diffusion process," Post-Print halshs-01162452, HAL.
    24. Damir Filipovic & Damien Ackerer & Sergio Pulido, 2018. "The Jacobi Stochastic Volatility Model," Post-Print hal-01338330, HAL.
    25. Mar'ia Fernanda del Carmen Agoitia Hurtado & Thorsten Schmidt, 2018. "Time-inhomogeneous polynomial processes," Papers 1806.03887, arXiv.org.
    26. Giacomo Aletti & Irene Crimaldi, 2021. "The Rescaled Pólya Urn and the Wright—Fisher Process with Mutation," Mathematics, MDPI, vol. 9(22), pages 1-11, November.
    27. Christian Gouriéroux & Eric Renault & Pascale Valery, 2007. "Diffusion Processes with Polynomial Eigenfunctions," Annals of Economics and Statistics, GENES, issue 85, pages 115-130.
    28. Daniel Fernholz & Ioannis Karatzas, 2010. "On optimal arbitrage," Papers 1010.4987, arXiv.org.
    29. David Itkin & Martin Larsson, 2021. "Open Markets and Hybrid Jacobi Processes," Papers 2110.14046, arXiv.org, revised Mar 2024.

  43. C. Gourieroux, 2006. "Continuous Time Wishart Process for Stochastic Risk," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 177-217.

    Cited by:

    1. Gourieroux, Christian & Sufana, Razvan, 2011. "Discrete time Wishart term structure models," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 815-824, June.
    2. Anna Cieslak & Pavol Povala, 2016. "Information in the Term Structure of Yield Curve Volatility," Journal of Finance, American Finance Association, vol. 71(3), pages 1393-1436, June.
    3. Manabu Asai & Michael McAleer, 2013. "Leverage and Feedback Effects on Multifactor Wishart Stochastic Volatility for Option Pricing," KIER Working Papers 840, Kyoto University, Institute of Economic Research.
    4. Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," Tinbergen Institute Discussion Papers 13-025/III, Tinbergen Institute.
    5. Almut Veraart & Luitgard Veraart, 2012. "Stochastic volatility and stochastic leverage," Annals of Finance, Springer, vol. 8(2), pages 205-233, May.
    6. Mike K. P. So & C. Y. Choi, 2009. "A threshold factor multivariate stochastic volatility model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(8), pages 712-735.
    7. Bruno Feunou & Ernest Tafolong, 2015. "Fourier Inversion Formulas for Multiple-Asset Option Pricing," Staff Working Papers 15-11, Bank of Canada.
    8. Yanhong Zhong & Guohe Deng, 2019. "Geometric Asian Options Pricing under the Double Heston Stochastic Volatility Model with Stochastic Interest Rate," Complexity, Hindawi, vol. 2019, pages 1-13, January.
    9. Gourieroux, C. & Jasiak, J. & Sufana, R., 2009. "The Wishart Autoregressive process of multivariate stochastic volatility," Journal of Econometrics, Elsevier, vol. 150(2), pages 167-181, June.
    10. Chiarella, Carl & Hsiao, Chih-Ying & Tô, Thuy-Duong, 2016. "Stochastic correlation and risk premia in term structure models," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 59-78.
    11. Gourieroux, C. & Monfort, A., 2008. "Quadratic stochastic intensity and prospective mortality tables," Insurance: Mathematics and Economics, Elsevier, vol. 43(1), pages 174-184, August.
    12. Takashi Kato & Jun Sekine & Kenichi Yoshikawa, 2013. "Order Estimates for the Exact Lugannani-Rice Expansion," Papers 1310.3347, arXiv.org, revised Jun 2014.
    13. Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility," CIRJE F-Series CIRJE-F-488, CIRJE, Faculty of Economics, University of Tokyo.
    14. McCausland, William & Miller, Shirley & Pelletier, Denis, 2021. "Multivariate stochastic volatility using the HESSIAN method," Econometrics and Statistics, Elsevier, vol. 17(C), pages 76-94.
    15. Kang, Chulmin & Kang, Wanmo, 2013. "Transform formulae for linear functionals of affine processes and their bridges on positive semidefinite matrices," Stochastic Processes and their Applications, Elsevier, vol. 123(6), pages 2419-2445.
    16. Yuyang Cheng & Marcos Escobar-Anel & Zhenxian Gong, 2019. "Generalized Mean-Reverting 4/2 Factor Model," JRFM, MDPI, vol. 12(4), pages 1-21, October.
    17. K. Triantafyllopoulos, 2012. "Multi‐variate stochastic volatility modelling using Wishart autoregressive processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 33(1), pages 48-60, January.
    18. Robertson, Scott & Xing, Hao, 2015. "Large time behavior of solutions to semi-linear equations with quadratic growth in the gradient," LSE Research Online Documents on Economics 60578, London School of Economics and Political Science, LSE Library.
    19. Nicole Branger & Matthias Muck & Stefan Weisheit, 2019. "Correlation risk and international portfolio choice," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(1), pages 128-146, January.
    20. Kwai S. Leung & Hon Y. Ng & Hoi Y. Wong, 2014. "Stochastic Skew in the Interest Rate Cap Market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(12), pages 1146-1169, December.
    21. Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility (Revised in May 2007, Handbook of Financial Time Series (Published in "Handbook of Financial Time Series" (eds T.G. Andersen, R.A. Davis, Jens-Peter Kreiss," CARF F-Series CARF-F-094, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    22. Alessandro Gnoatto & Martino Grasselli, 2011. "The explicit Laplace transform for the Wishart process," Papers 1107.2748, arXiv.org, revised Aug 2013.
    23. Chiu, Mei Choi & Wong, Hoi Ying, 2014. "Mean–variance asset–liability management with asset correlation risk and insurance liabilities," Insurance: Mathematics and Economics, Elsevier, vol. 59(C), pages 300-310.
    24. Scott Robertson & Hao Xing, 2014. "Long Term Optimal Investment in Matrix Valued Factor Models," Papers 1408.7010, arXiv.org.
    25. Marcos Escobar & Daniel Krause & Rudi Zagst, 2016. "Stochastic covariance and dimension reduction in the pricing of basket options," Review of Derivatives Research, Springer, vol. 19(3), pages 165-200, October.
    26. Ming Lin & Changjiang Liu & Linlin Niu, 2013. "Bayesian Estimation of Wishart Autoregressive Stochastic Volatility Model," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    27. Asai, Manabu & McAleer, Michael, 2009. "The structure of dynamic correlations in multivariate stochastic volatility models," Journal of Econometrics, Elsevier, vol. 150(2), pages 182-192, June.
    28. Branger, Nicole & Herold, Michael & Muck, Matthias, 2021. "International stochastic discount factors and covariance risk," Journal of Banking & Finance, Elsevier, vol. 123(C).
    29. Escobar, Marcos & Ferrando, Sebastian & Rubtsov, Alexey, 2016. "Portfolio choice with stochastic interest rates and learning about stock return predictability," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 347-370.
    30. Francesca Biagini & Alessandro Gnoatto & Maximilian Hartel, 2013. "Affine HJM Framework on $S_{d}^{+}$ and Long-Term Yield," Papers 1311.0688, arXiv.org, revised Aug 2015.

  44. Gourieroux, Christian & Robert, Christian Y., 2006. "Stochastic Unit Root Models," Econometric Theory, Cambridge University Press, vol. 22(6), pages 1052-1090, December.

    Cited by:

    1. Katsumi Shimotsu, 2006. "Simple (but Effective) Tests Of Long Memory Versus Structural Breaks," Working Paper 1101, Economics Department, Queen's University.
    2. Muriel, Nelson & González-Farías, Graciela, 2018. "Testing the null of difference stationarity against the alternative of a stochastic unit root: A new test based on multivariate STUR," Econometrics and Statistics, Elsevier, vol. 7(C), pages 46-62.
    3. Rafal Kulik & Philippe Soulier, 2013. "Heavy tailed time series with extremal independence," Papers 1307.1501, arXiv.org, revised Oct 2014.
    4. Frédérique Bec & Alain Guay & Heino Bohn Nielsen & Sarra Saïdi, 2022. "Power of unit root tests against nonlinear and noncausal alternatives," THEMA Working Papers 2022-14, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    5. Anders Rahbek & Neil Shephard, 2001. "Autoregressive conditional root model," Economics Papers 2002-W7, Economics Group, Nuffield College, University of Oxford, revised 01 Feb 2002.
    6. Renzo Pardo Figueroa & Gabriel Rodríguez, 2014. "Distinguishing between True and Spurious Long Memory in the Volatility of Stock Market Returns in Latin America," Documentos de Trabajo / Working Papers 2014-395, Departamento de Economía - Pontificia Universidad Católica del Perú.
    7. Frédérique Bec & Anders Rahbek & Neil Shephard, 2008. "The ACR model: a multivariate dynamic mixture autoregression," THEMA Working Papers 2008-11, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    8. Yin, Ming, 2015. "Estimating Gaussian Mixture Autoregressive model with Sequential Monte Carlo algorithm: A parallel GPU implementation," MPRA Paper 88111, University Library of Munich, Germany, revised 2018.
    9. Patrick Gagliardini & Christian Gourieroux, 2002. "Duration Time Series Models with Proportional Hazard," Working Papers 2002-21, Center for Research in Economics and Statistics.
    10. Theis Lange, 2009. "First and second order non-linear cointegration models," CREATES Research Papers 2009-04, Department of Economics and Business Economics, Aarhus University.
    11. Meitz, Mika & Saikkonen, Pentti, 2022. "Subgeometrically Ergodic Autoregressions," Econometric Theory, Cambridge University Press, vol. 38(5), pages 959-985, October.
    12. Chin-Ping King, 2012. "Half Life of the Real Exchange Rate: Evidence from the Nonlinear Approach in Emerging Economies," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 8(1), pages 1-23, January.
    13. Meitz, Mika & Saikkonen, Pentti, 2021. "Testing for observation-dependent regime switching in mixture autoregressive models," Journal of Econometrics, Elsevier, vol. 222(1), pages 601-624.
    14. Kung-Sik Chan & Simone Giannerini & Greta Goracci & Howell Tong, 2020. "Testing for threshold regulation in presence of measurement error with an application to the PPP hypothesis," Papers 2002.09968, arXiv.org, revised Nov 2021.
    15. Frédérique Bec & Alain Guay & Emmanuel Guerre, 2002. "Adaptive Consistent Unit Root Tests Based on Autoregressive Threshold Model," Working Papers 2002-46, Center for Research in Economics and Statistics.

  45. Christian Gourieroux & Razvan Sufana, 2006. "A Classification of Two-Factor Affine Diffusion Term Structure Models," Journal of Financial Econometrics, Oxford University Press, vol. 4(1), pages 31-52.
    See citations under working paper version above.
  46. Christian Gouriéroux & Alain Monfort, 2006. "Pricing with Splines," Annals of Economics and Statistics, GENES, issue 82, pages 3-33.
    See citations under working paper version above.
  47. C. Gourieroux & A. Monfort & V. Polimenis, 2006. "Affine Models for Credit Risk Analysis," Journal of Financial Econometrics, Oxford University Press, vol. 4(3), pages 494-530.
    See citations under working paper version above.
  48. Serge Darolles & Christian Gourieroux & Joann Jasiak, 2006. "Structural Laplace Transform and Compound Autoregressive Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 27(4), pages 477-503, July.

    Cited by:

    1. Bruno Feunou & Jean-Sébastien Fontaine & Abderrahim Taamouti & Roméo Tédongap, 2014. "Risk Premium, Variance Premium, and the Maturity Structure of Uncertainty," Review of Finance, European Finance Association, vol. 18(1), pages 219-269.
    2. Alain Monfort & Jean-Paul Renne, 2010. "Default, Liquidity and Crises : An Econometric Framework," Working Papers 2010-46, Center for Research in Economics and Statistics.
    3. Gourieroux, Christian & Sufana, Razvan, 2011. "Discrete time Wishart term structure models," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 815-824, June.
    4. Alain Monfort & Olivier Féron, 2011. "Joint Econometric Modeling of Spot Electricity Prices, Forwards and Options," Working Papers 2011-12, Center for Research in Economics and Statistics.
    5. Patrick GAGLIARDINI & Christian GOURIEROUX, 2010. "Approximate Derivative Pricing for Large Classes of Homogeneous Assets with Systematic Risk," Working Papers 2010-07, Center for Research in Economics and Statistics.
    6. Joann Jasiak & Christian Gourieroux, 2006. "Autoregressive gamma processes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(2), pages 129-152.
    7. Patrick Gagliardini & Christian Gouriéroux, 2012. "Correlated Risks vs Contagion in Stochastic Transition Models," Working Papers 2012-07, Center for Research in Economics and Statistics.
    8. Henri Bertholon & Alain Monfort & Fulvio Pegoraro, 2007. "Econometric Asset Pricing Modelling," Working Papers 2007-18, Center for Research in Economics and Statistics.
    9. Dario Alitab & Giacomo Bormetti & Fulvio Corsi & Adam A. Majewski, 2019. "A realized volatility approach to option pricing with continuous and jump variance components," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 42(2), pages 639-664, December.
    10. Tore Selland Kleppe & Hans J. Skaug, 2008. "Building and Fitting Non‐Gaussian Latent Variable Models via the Moment‐Generating Function," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 35(4), pages 664-676, December.
    11. Gouriéroux, C. & Monfort, A. & Renne, J.P., 2014. "Pricing default events: Surprise, exogeneity and contagion," Journal of Econometrics, Elsevier, vol. 182(2), pages 397-411.
    12. Bjørn Eraker, 2008. "Affine General Equilibrium Models," Management Science, INFORMS, vol. 54(12), pages 2068-2080, December.
    13. Monfort, A. & Pegoraro, F., 2012. "Asset Pricing with Second-Order Esscher Transforms," Working papers 397, Banque de France.
    14. Michael Gallmeyer & Burton Hollifield & Francisco Palomino & Stanley Zin, 2017. "Term Premium Dynamics and the Taylor Rule," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 7(04), pages 1-39, December.
    15. Alain Monfort & Fulvio Pegoraro & Jean-Paul Renne & Guillaume Roussellet, 2017. "Staying at zero with affine processes : an application to term structure modelling," Rue de la Banque, Banque de France, issue 52, november.
    16. Gourieroux, C. & Monfort, A. & Sufana, R., 2010. "International money and stock market contingent claims," Journal of International Money and Finance, Elsevier, vol. 29(8), pages 1727-1751, December.
    17. Gourieroux, C. & Jasiak, J. & Sufana, R., 2009. "The Wishart Autoregressive process of multivariate stochastic volatility," Journal of Econometrics, Elsevier, vol. 150(2), pages 167-181, June.
    18. Timothy M. Christensen, 2014. "Nonparametric identification of positive eigenfunctions," CeMMAP working papers CWP37/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    19. Gouriéroux, Christian, 2003. "Économétrie de la finance : l’exemple du risque de crédit," L'Actualité Economique, Société Canadienne de Science Economique, vol. 79(4), pages 399-418, Décembre.
    20. Gourieroux, C. & Monfort, A., 2008. "Quadratic stochastic intensity and prospective mortality tables," Insurance: Mathematics and Economics, Elsevier, vol. 43(1), pages 174-184, August.
    21. Serge Darolles & Patrick Gagliardini & Christian Gouriéroux, 2012. "Survival of Hedge Funds : Frailty vs Contagion," Working Papers 2012-36, Center for Research in Economics and Statistics.
    22. Yang Lu & Christian Gourieroux, 2018. "Negative Binomial Autoregressive Process," CEPN Working Papers hal-01730050, HAL.
    23. Bruno Feunou & Cédric Okou, 2017. "Risk-Neutral Moment-Based Estimation of Affine Option Pricing Models," Staff Working Papers 17-55, Bank of Canada.
    24. Patrick Gagliardini & Christian Gourieroux, 2002. "Duration Time Series Models with Proportional Hazard," Working Papers 2002-21, Center for Research in Economics and Statistics.
    25. Gurleen Sahota & Balwinder Singh, 2016. "The Empirical Investigation of Causal Relationship between Intraday Return and Volume in Indian Stock Market," Vision, , vol. 20(3), pages 199-210, September.
    26. Augustyniak, Maciej & Badescu, Alexandru & Bégin, Jean-François, 2023. "A discrete-time hedging framework with multiple factors and fat tails: On what matters," Journal of Econometrics, Elsevier, vol. 232(2), pages 416-444.
    27. Gourieroux, C. & Monfort, A., 2007. "Econometric specification of stochastic discount factor models," Journal of Econometrics, Elsevier, vol. 136(2), pages 509-530, February.
    28. Bruno Feunou & Roméo Tedongap, 2011. "A Stochastic Volatility Model with Conditional Skewness," Staff Working Papers 11-20, Bank of Canada.
    29. Yang Lu, 2018. "Dynamic Frailty Count Process in Insurance: A Unified Framework for Estimation, Pricing, and Forecasting," Post-Print halshs-02418950, HAL.
    30. Timothy M. Christensen, 2014. "Nonparametric identification of positive eigenfunctions," CeMMAP working papers 37/14, Institute for Fiscal Studies.
    31. Peter D Spencer, "undated". "Coupon Bond Valuation with a Non-Affine Discount Yield Model," Discussion Papers 03/16, Department of Economics, University of York.
    32. Bruno Feunou & Cédric Okou, 2017. "Good Volatility, Bad Volatility and Option Pricing," Staff Working Papers 17-52, Bank of Canada.
    33. Alain Monfort & Fulvio Pegoraro, 2007. "Switching VARMA Term Structure Models - Extended Version," Working Papers 2007-19, Center for Research in Economics and Statistics.
    34. Monfort, A. & Renne, J-P., 2011. "Credit and liquidity risks in euro area sovereign yield curves," Working papers 352, Banque de France.
    35. Yang Lu, 2021. "The predictive distributions of thinning‐based count processes," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 48(1), pages 42-67, March.
    36. Gagliardini, Patrick & Gouriéroux, Christian, 2019. "Identification by Laplace transforms in nonlinear time series and panel models with unobserved stochastic dynamic effects," Journal of Econometrics, Elsevier, vol. 208(2), pages 613-637.
    37. Han, Hyojin & Khrapov, Stanislav & Renault, Eric, 2020. "The leverage effect puzzle revisited: Identification in discrete time," Journal of Econometrics, Elsevier, vol. 217(2), pages 230-258.
    38. Darolles, Serge & Fol, Gaëlle Le & Lu, Yang & Sun, Ran, 2019. "Bivariate integer-autoregressive process with an application to mutual fund flows," Journal of Multivariate Analysis, Elsevier, vol. 173(C), pages 181-203.
    39. Christian Gouriéroux & Yang Lu, 2023. "Noncausal affine processes with applications to derivative pricing," Mathematical Finance, Wiley Blackwell, vol. 33(3), pages 766-796, July.

  49. Gourieroux, C. & Monfort, A., 2005. "The econometrics of efficient portfolios," Journal of Empirical Finance, Elsevier, vol. 12(1), pages 1-41, January.

    Cited by:

    1. Hagströmer, Björn & Anderson, Richard G. & Binner, Jane & Elger, Thomas & Nilsson, Birger, 2007. "Mean-Variance vs. Full-Scale Optimization: Broad Evidence for the UK," Working Papers 2008:1, Lund University, Department of Economics.
    2. Francisco Peñaranda & Enrique Sentana, 2008. "Spanning tests in return and stochastic discount factor mean-variance frontiers: A unifying approach," Economics Working Papers 1101, Department of Economics and Business, Universitat Pompeu Fabra, revised Sep 2010.
    3. Krüger, Jens, 2021. "Nonparametric Portfolio Efficiency Measurement with Higher Moments," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 130825, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Walter Briec & Kristiaan Kerstens, 2009. "Portfolio Selection in Multidimensional General and Partial Moment Space," Working Papers 2009-ECO-08, IESEG School of Management.
    5. Alessandro Bucciol & Raffaele Miniaci, 2006. "Optimal asset allocation based on utility maximization in the presence of market frictions," "Marco Fanno" Working Papers 0012, Dipartimento di Scienze Economiche "Marco Fanno".
    6. Smimou, K. & Bector, C.R. & Jacoby, G., 2008. "Portfolio selection subject to experts' judgments," International Review of Financial Analysis, Elsevier, vol. 17(5), pages 1036-1054, December.
    7. Christian Gourieroux & Wei Liu, 2006. "Efficient Portfolio Analysis Using Distortion Risk Measures," Working Papers 2006-17, Center for Research in Economics and Statistics.
    8. Smimou, K., 2014. "International portfolio choice and political instability risk: A multi-objective approach," European Journal of Operational Research, Elsevier, vol. 234(2), pages 546-560.
    9. Olha Bodnar & Taras Bodnar, 2009. "Statistical inference procedure for the mean–variance efficient frontier with estimated parameters," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 93(3), pages 295-306, September.
    10. Hela Mzoughi & Faysal Mansouri, 2013. "Computing risk measures for non-normal asset returns using Copula theory," The Empirical Econometrics and Quantitative Economics Letters, Faculty of Economics, Chiang Mai University, vol. 2(1), pages 59-70, March.
    11. Björn Hagströmer & Richard G. Anderson & Jane M. Binner & Thomas Elger & Birger Nilsson, 2008. "Mean–Variance Versus Full‐Scale Optimization: Broad Evidence For The Uk," Manchester School, University of Manchester, vol. 76(s1), pages 134-156, September.
    12. Chen, Hsuan-Chi & Chung, San-Lin & Ho, Keng-Yu, 2011. "The diversification effects of volatility-related assets," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1179-1189, May.

  50. Christian Gouriéroux & Joann Jasiak, 2005. "Nonlinear Innovations and Impulse Responses with Application to VaR Sensitivity," Annals of Economics and Statistics, GENES, issue 78, pages 1-31.

    Cited by:

    1. Borovička, Jaroslav & Hansen, Lars Peter, 2014. "Examining macroeconomic models through the lens of asset pricing," Journal of Econometrics, Elsevier, vol. 183(1), pages 67-90.
    2. Jaroslav Borovička & Lars Peter Hansen & Mark Hendricks & José A. Scheinkman, 2009. "Risk Price Dynamics," NBER Working Papers 15506, National Bureau of Economic Research, Inc.
    3. Gonçalves, Sílvia & Herrera, Ana María & Kilian, Lutz & Pesavento, Elena, 2021. "Impulse response analysis for structural dynamic models with nonlinear regressors," Journal of Econometrics, Elsevier, vol. 225(1), pages 107-130.
    4. Jardet, C. & Monfort, A. & Pegoraro, F., 2009. "New Information Response Functions," Working papers 235, Banque de France.
    5. Lars Hansen & Jaroslav Borovicka, 2013. "Robust preference expansions," 2013 Meeting Papers 1199, Society for Economic Dynamics.
    6. Zviadadze, Irina, 2018. "Term Structure of Risk in Expected Returns," CEPR Discussion Papers 13414, C.E.P.R. Discussion Papers.
    7. Lan, Hong & Meyer-Gohde, Alexander, 2013. "Solving DSGE models with a nonlinear moving average," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2643-2667.
    8. Kilian, Lutz & Goncalves, Silvia & Herrera, Ana Maria & Pesavento, Elena, 2022. "When do state-dependent local projections work?," CEPR Discussion Papers 17265, C.E.P.R. Discussion Papers.
    9. Karapanagiotidis, Paul, 2014. "Dynamic modeling of commodity futures prices," MPRA Paper 56805, University Library of Munich, Germany.
    10. Jaroslav Borovička & Lars P. Hansen & Jose A. Scheinkman, 2014. "Shock Elasticities and Impulse Responses," NBER Working Papers 20104, National Bureau of Economic Research, Inc.

  51. Gagliardini, P. & Gourieroux, C., 2005. "Migration correlation: Definition and efficient estimation," Journal of Banking & Finance, Elsevier, vol. 29(4), pages 865-894, April.

    Cited by:

    1. Schechtman, Ricardo, 2013. "Default matrices: A complete measurement of banks’ consumer credit delinquency," Journal of Financial Stability, Elsevier, vol. 9(4), pages 460-474.
    2. Telg, Sean & Dubinova, Anna & Lucas, Andre, 2023. "Covid-19, credit risk management modeling, and government support," Journal of Banking & Finance, Elsevier, vol. 147(C).
    3. Trueck, Stefan & Rachev, Svetlozar T., 2008. "Rating Based Modeling of Credit Risk," Elsevier Monographs, Elsevier, edition 1, number 9780123736833.
    4. Joan Jasiak & D. Feng & C. Gourieroux, 2006. "The Ordered Qualitative Model For Credit Rating Transitions," Working Papers 2006_2, York University, Department of Economics.
    5. Myriam Ben Ayed & Adel Karaa & Jean-Luc Prigent, 2018. "Duration Models For Credit Rating Migration: Evidence From The Financial Crisis," Post-Print hal-03679407, HAL.
    6. Koopman, Siem Jan & Lucas, Andre & Monteiro, Andre, 2008. "The multi-state latent factor intensity model for credit rating transitions," Journal of Econometrics, Elsevier, vol. 142(1), pages 399-424, January.
    7. Monteiro, André A., 2009. "The econometrics of randomly spaced financial data: a survey," DES - Working Papers. Statistics and Econometrics. WS ws097924, Universidad Carlos III de Madrid. Departamento de Estadística.
    8. Gourieroux, Christian & Jasiak, Joann, 2006. "Multivariate Jacobi process with application to smooth transitions," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 475-505.
    9. Antoine Djogbenou & Christian Gouri'eroux & Joann Jasiak & Maygol Bandehali, 2021. "Composite Likelihood for Stochastic Migration Model with Unobserved Factor," Papers 2109.09043, arXiv.org, revised Nov 2023.
    10. Dimitris Gavalas & Theodore Syriopoulos, 2014. "Bank Credit Risk Management and Rating Migration Analysis on the Business Cycle," IJFS, MDPI, vol. 2(1), pages 1-22, March.
    11. Dimitris Gavalas & Theodore Syriopoulos, 2014. "Bank Credit Risk Management and Migration Analysis; Conditioning Transition Matrices on the Stage of the Business Cycle," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 20(2), pages 151-166, May.

  52. C. Gourieroux & A. Monfort, 2004. "Infrequent Extreme Risks," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 29(1), pages 5-22, June.

    Cited by:

    1. Christian Gourieroux & Andrew Hencic & Joann Jasiak, 2021. "Forecast performance and bubble analysis in noncausal MAR(1, 1) processes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(2), pages 301-326, March.
    2. Gourieroux, C. & Monfort, A., 2005. "The econometrics of efficient portfolios," Journal of Empirical Finance, Elsevier, vol. 12(1), pages 1-41, January.
    3. Chollete, Loran & Jaffee, Dwight, 2009. "Economic Implications of Extreme and Rare Events," UiS Working Papers in Economics and Finance 2009/32, University of Stavanger.
    4. Chollete, Lorán & Jaffee, Dwight & Mamun, Khawaja A., 2022. "Policy suggestions from a simple framework with extreme outcomes," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 374-398.

  53. Darolles, Serge & Florens, Jean-Pierre & Gourieroux, Christian, 2004. "Kernel-based nonlinear canonical analysis and time reversibility," Journal of Econometrics, Elsevier, vol. 119(2), pages 323-353, April.
    See citations under working paper version above.
  54. Ghysels, Eric & Gourieroux, Christian & Jasiak, Joann, 2004. "Stochastic volatility duration models," Journal of Econometrics, Elsevier, vol. 119(2), pages 413-433, April.
    See citations under working paper version above.
  55. Gourieroux, C. & Jasiak, J., 2004. "Heterogeneous INAR(1) model with application to car insurance," Insurance: Mathematics and Economics, Elsevier, vol. 34(2), pages 177-192, April.

    Cited by:

    1. Haghani, Shermineh, 2014. "Modeling hedge fund lifetimes: A dependent competing risks framework with latent exit types," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 291-320.
    2. Mihaela DAVID, 2014. "Modeling The Frequency Of Claims In Auto Insurance With Application To A French Case," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 13, pages 69-85, June.
    3. David Mihaela & Jemna Dănuţ-Vasile, 2015. "Modeling the Frequency of Auto Insurance Claims by Means of Poisson and Negative Binomial Models," Scientific Annals of Economics and Business, Sciendo, vol. 62(2), pages 151-168, July.
    4. Patrick Gagliardini & Christian Gouriéroux, 2012. "Correlated Risks vs Contagion in Stochastic Transition Models," Working Papers 2012-07, Center for Research in Economics and Statistics.
    5. Mohammadipour, Maryam & Boylan, John E., 2012. "Forecast horizon aggregation in integer autoregressive moving average (INARMA) models," Omega, Elsevier, vol. 40(6), pages 703-712.
    6. Ran Deng & Shermineh Haghani, 2017. "FHA Loans in Foreclosure Proceedings: Distinguishing Sources of Interdependence in Competing Risks," JRFM, MDPI, vol. 11(1), pages 1-15, December.
    7. Bermúdez, Lluís & Guillén, Montserrat & Karlis, Dimitris, 2018. "Allowing for time and cross dependence assumptions between claim counts in ratemaking models," Insurance: Mathematics and Economics, Elsevier, vol. 83(C), pages 161-169.
    8. Jean Pinquet, 2012. "Experience rating in non-life insurance," Working Papers hal-00677100, HAL.
    9. Azaare Jacob & Zhao Wu, 2020. "An Alternative Pricing System through Bayesian Estimates and Method of Moments in a Bonus-Malus Framework for the Ghanaian Auto Insurance Market," JRFM, MDPI, vol. 13(7), pages 1-15, July.
    10. Francesco Bravo, 2011. "Comment on: Subsampling weakly dependent time series and application to extremes," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 20(3), pages 483-486, November.
    11. Yang Lu & Christian Gourieroux, 2018. "Negative Binomial Autoregressive Process," CEPN Working Papers hal-01730050, HAL.
    12. Drost, F.C. & van den Akker, R. & Werker, B.J.M., 2009. "The asymptotic structure of nearly unstable non negative integer-valued AR(1) models," Other publications TiSEM ac0494ae-7a32-43ca-b5b4-d, Tilburg University, School of Economics and Management.
    13. Barczy, M. & Ispány, M. & Pap, G., 2011. "Asymptotic behavior of unstable INAR(p) processes," Stochastic Processes and their Applications, Elsevier, vol. 121(3), pages 583-608, March.
    14. Yang Lu, 2018. "Dynamic Frailty Count Process in Insurance: A Unified Framework for Estimation, Pricing, and Forecasting," Post-Print halshs-02418950, HAL.
    15. Feike C. Drost & Ramon Van Den Akker & Bas J. M. Werker, 2008. "Local asymptotic normality and efficient estimation for INAR(p) models," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(5), pages 783-801, September.
    16. Youn Ahn, Jae & Jeong, Himchan & Lu, Yang, 2021. "On the ordering of credibility factors," Insurance: Mathematics and Economics, Elsevier, vol. 101(PB), pages 626-638.
    17. Yang Lu & Christian Gourieroux, 2018. "Negative Binomial Autoregressive Process," Working Papers hal-01730050, HAL.
    18. Gareth Liu-Evans, 2021. "Improving the Estimation and Predictions of Small Time Series Models," Working Papers 202106, University of Liverpool, Department of Economics.
    19. Jacob Azaare & Zhao Wu & Bright Nana Kwame Ahia, 2022. "Exploring the Effects of Classical Auto Insurance Rating Variables on Premium in ARDL: Is the high Policyholders’ Premium in Ghana Justified?," SAGE Open, , vol. 12(4), pages 21582440221, October.
    20. Yang Lu, 2021. "The predictive distributions of thinning‐based count processes," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 48(1), pages 42-67, March.
    21. Darolles, Serge & Fol, Gaëlle Le & Lu, Yang & Sun, Ran, 2019. "Bivariate integer-autoregressive process with an application to mutual fund flows," Journal of Multivariate Analysis, Elsevier, vol. 173(C), pages 181-203.

  56. Christian Gourieroux & Joann Jasiak, 2001. "Dynamic Factor Models," Econometric Reviews, Taylor & Francis Journals, vol. 20(4), pages 385-424.
    See citations under working paper version above.
  57. Gourieroux, Christian & Jasiak, Joann, 2001. "Memory and infrequent breaks," Economics Letters, Elsevier, vol. 70(1), pages 29-41, January.

    Cited by:

    1. D. (Derek) Bond & Michael J. Harrison & Edward J. (Edward Joseph) O'Brien, 2009. "Exploring long memory and nonlinearity in Irish real exchange Rates using tests based on semiparametric estimation," Working Papers 200901, School of Economics, University College Dublin.
    2. Grace Lee Ching Yap, 2020. "Optimal Filter Approximations for Latent Long Memory Stochastic Volatility," Computational Economics, Springer;Society for Computational Economics, vol. 56(2), pages 547-568, August.
    3. Ata Assaf & Luis Alberiko Gil-Alana & Khaled Mokni, 2022. "True or spurious long memory in the cryptocurrency markets: evidence from a multivariate test and other Whittle estimation methods," Empirical Economics, Springer, vol. 63(3), pages 1543-1570, September.
    4. Katsumi Shimotsu, 2006. "Simple (but Effective) Tests Of Long Memory Versus Structural Breaks," Working Paper 1101, Economics Department, Queen's University.
    5. Kuswanto, Heri & Sibbertsen, Philipp, 2008. "A Study on "Spurious Long Memory in Nonlinear Time Series Models"," Hannover Economic Papers (HEP) dp-410, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    6. Xu, Jiawen & Perron, Pierre, 2014. "Forecasting return volatility: Level shifts with varying jump probability and mean reversion," International Journal of Forecasting, Elsevier, vol. 30(3), pages 449-463.
    7. Krämer, Walter & Sibbertsen, Philipp & Kleiber, Christian, 2001. "Long memory vs. structural change in financial time series," Technical Reports 2001,37, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    8. Pierre Perron & Zhongjun Qu, 2007. "An Analytical Evaluation of the Log-periodogram Estimate in the Presence of Level Shifts," Boston University - Department of Economics - Working Papers Series wp2007-044, Boston University - Department of Economics.
    9. Guglielmo Caporale & Luis Gil-Alana, 2009. "Multiple shifts and fractional integration in the US and UK unemployment rates," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 33(4), pages 364-375, October.
    10. Yang K. Lu & Pierre Perron, 2008. "Modeling and Forecasting Stock Return Volatility Using a Random Level Shift Model," Boston University - Department of Economics - Working Papers Series wp2008-012, Boston University - Department of Economics.
    11. Terence Tai Leung Chong & Chenxi Lu & Wing Hong Chan, 2020. "Long Range Dependence And Structural Breaks In The Gold Markets," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 65(02), pages 257-273, March.
    12. Surgailis, Donatas & Teyssière, Gilles & Vaiciulis, Marijus, 2008. "The increment ratio statistic," Journal of Multivariate Analysis, Elsevier, vol. 99(3), pages 510-541, March.
    13. Chevillon, G. & Hecq, A.W. & Laurent, S.F.J.A., 2015. "Long memory through marginalization of large systems and hidden cross-section dependence," Research Memorandum 014, Maastricht University, Graduate School of Business and Economics (GSBE).
    14. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    15. Lanouar Charfeddine & Dominique Guegan, 2009. "Breaks or long memory behaviour: An empirical investigation," Documents de travail du Centre d'Economie de la Sorbonne 09022, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    16. Philipp Sibbertsen, 2004. "Long memory versus structural breaks: An overview," Statistical Papers, Springer, vol. 45(4), pages 465-515, October.
    17. G Caggiano & L Leonida, "undated". "International Output Convergence: Evidence from an AutoCorrelation Function Approach," Working Papers 2006_20, Business School - Economics, University of Glasgow.
    18. Gourieroux, C. & Monfort, A. & Sufana, R., 2010. "International money and stock market contingent claims," Journal of International Money and Finance, Elsevier, vol. 29(8), pages 1727-1751, December.
    19. Pierre Perron & Zhongjun Qu, 2008. "Long-Memory and Level Shifts in the Volatility of Stock Market Return Indices," Boston University - Department of Economics - Working Papers Series wp2008-004, Boston University - Department of Economics.
    20. Charfeddine, Lanouar, 2016. "Breaks or long range dependence in the energy futures volatility: Out-of-sample forecasting and VaR analysis," Economic Modelling, Elsevier, vol. 53(C), pages 354-374.
    21. Charfeddine, Lanouar & Ajmi, Ahdi Noomen, 2013. "The Tunisian stock market index volatility: Long memory vs. switching regime," Emerging Markets Review, Elsevier, vol. 16(C), pages 170-182.
    22. Lanouar Charfeddine & Dominique Guegan, 2009. "Breaks or Long Memory Behaviour: An empirical Investigation," Post-Print halshs-00377485, HAL.
    23. José Belbute & Alfredo M. Pereira, 2016. "Updated Reference Forecasts for Global CO2 Emissions from Fossil-Fuel Consumption," CEFAGE-UE Working Papers 2016_08, University of Evora, CEFAGE-UE (Portugal).
    24. Luis Gil-Alana & Antonio Moreno, 2012. "Fractional integration and structural breaks in U.S. macro dynamics," Empirical Economics, Springer, vol. 43(1), pages 427-446, August.
    25. Charfeddine, Lanouar & Maouchi, Youcef, 2019. "Are shocks on the returns and volatility of cryptocurrencies really persistent?," Finance Research Letters, Elsevier, vol. 28(C), pages 423-430.
    26. Gabriel Rodriguez & Roxana Tramontana, 2014. "An Application of a Short Memory Model With Random Level Shifts to the Volatility of Latin American Stock Market Returns," Documentos de Trabajo / Working Papers 2014-385, Departamento de Economía - Pontificia Universidad Católica del Perú.
    27. Pierre Perron & Wendong Shi, 2020. "Temporal Aggregation and Long Memory for Asset Price Volatility," JRFM, MDPI, vol. 13(8), pages 1-18, August.
    28. Charfeddine, Lanouar, 2014. "True or spurious long memory in volatility: Further evidence on the energy futures markets," Energy Policy, Elsevier, vol. 71(C), pages 76-93.
    29. Pierre Perron & Zhongjun Qu, 2006. "An Analytical Evaluation of the Log-periodogram Estimate in the Presence of Level Shifts and its Implications for Stock Returns Volatility," Boston University - Department of Economics - Working Papers Series WP2006-016, Boston University - Department of Economics.
    30. Laura Mayoral, 2003. "Further Evidence on the Uncertain (Fractional) Unit Root in Real GNP," Working Papers 82, Barcelona School of Economics.
    31. Jondeau, Eric & Rockinger, Michael, 2006. "The Copula-GARCH model of conditional dependencies: An international stock market application," Journal of International Money and Finance, Elsevier, vol. 25(5), pages 827-853, August.
    32. Leschinski, Christian & Sibbertsen, Philipp, 2017. "Origins of Spurious Long Memory," Hannover Economic Papers (HEP) dp-595, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    33. Silvestro Di Sanzo, 2007. "Forecasting Time Series with Long Memory and Level Shifts, A Bayesian Approach," Working Papers 2007_03, Department of Economics, University of Venice "Ca' Foscari".
    34. Rodríguez, Gabriel, 2017. "Modeling Latin-American stock and Forex markets volatility: Empirical application of a model with random level shifts and genuine long memory," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 393-420.
    35. Leipus, Remigijus & Paulauskas, Vygantas & Surgailis, Donatas, 2005. "Renewal regime switching and stable limit laws," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 299-327.
    36. Gary Biglaiser & Ching-to Albert Ma, 2006. "Moonlighting: Public Service and Private Practice," Working Papers 12, Portuguese Competition Authority.
    37. Niels Haldrup & Robinson Kruse, 2014. "Discriminating between fractional integration and spurious long memory," CREATES Research Papers 2014-19, Department of Economics and Business Economics, Aarhus University.
    38. Joann Jasiak, 2003. "First‐Order Autoregressive Processes with Heterogeneous Persistence," Journal of Time Series Analysis, Wiley Blackwell, vol. 24(3), pages 283-309, May.
    39. Guglielmo Maria Caporale & Juncal Cunado & Luis A. Gil-Alana, 2007. "Deterministic versus Stochastic Seasonal Fractional Integration and Structural Breaks," CESifo Working Paper Series 1989, CESifo.
    40. Fillol, Jerome, 2007. "Estimating long memory: Scaling function vs Andrews and Guggenberger GPH," Economics Letters, Elsevier, vol. 95(2), pages 309-314, May.
    41. Markwat, T.D. & Kole, H.J.W.G. & van Dijk, D.J.C., 2009. "Time Variation in Asset Return Dependence: Strength or Structure?," ERIM Report Series Research in Management ERS-2009-052-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    42. Belkhouja, Mustapha & Boutahary, Mohamed, 2011. "Modeling volatility with time-varying FIGARCH models," Economic Modelling, Elsevier, vol. 28(3), pages 1106-1116, May.
    43. Pierre Perron & Wendong Shi, 2014. "Temporal Aggregation, Bandwidth Selection and Long Memory for Volatility Models," Boston University - Department of Economics - Working Papers Series wp2014-009, Boston University - Department of Economics.
    44. Ane, Thierry & Ureche-Rangau, Loredana, 2006. "Stock market dynamics in a regime-switching asymmetric power GARCH model," International Review of Financial Analysis, Elsevier, vol. 15(2), pages 109-129.
    45. Leipus, Remigijus & Viano, Marie-Claude, 2003. "Long memory and stochastic trend," Statistics & Probability Letters, Elsevier, vol. 61(2), pages 177-190, January.
    46. Giorgio Canarella & Luis A. Gil-Alana & Rangan Gupta & Stephen M. Miller, 2018. "Persistence and Cyclical Dynamics of US and UK House Prices: Evidence from Over 150 Years of Data," Working Papers 201838, University of Pretoria, Department of Economics.
    47. Leschinski, Christian & Sibbertsen, Philipp, 2018. "The Periodogram of Spurious Long-Memory Processes," Hannover Economic Papers (HEP) dp-632, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    48. Jensen, Mark J. & Liu, Ming, 2006. "Do long swings in the business cycle lead to strong persistence in output?," Journal of Monetary Economics, Elsevier, vol. 53(3), pages 597-611, April.
    49. Monge, Manuel & Gil-Alana, Luis A. & Pérez de Gracia, Fernando, 2017. "Crude oil price behaviour before and after military conflicts and geopolitical events," Energy, Elsevier, vol. 120(C), pages 79-91.
    50. Gil-Alana, Luis A. & Fischer, Christian, 2007. "International traveling and trade: further evidence for the case of Spanish wine based on fractional VAR specifications," 105th Seminar, March 8-10, 2007, Bologna, Italy 7859, European Association of Agricultural Economists.
    51. Maheu John, 2005. "Can GARCH Models Capture Long-Range Dependence?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(4), pages 1-43, December.
    52. Andrés Herrera Aramburú & Gabriel Rodríguez, 2016. "Volatility of stock market and exchange rate returns in Peru: Long memory or short memory with level shifts?," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 9(1), pages 45-66.
    53. Biage, Milton & Nelcide, Pierre Joseph, 2020. "Effects of asset frequency components on value-at-risk in emerging and developed markets," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 40(1), August.
    54. Banerjee, Anindya & Urga, Giovanni, 2005. "Modelling structural breaks, long memory and stock market volatility: an overview," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 1-34.

  58. Gouriéroux, Christian & Tenreiro, Carlos, 2001. "Local Power Properties of Kernel Based Goodness of Fit Tests," Journal of Multivariate Analysis, Elsevier, vol. 78(2), pages 161-190, August.

    Cited by:

    1. Bagkavos, Dimitrios & Patil, Prakash N. & Wood, Andrew T.A., 2023. "Nonparametric goodness-of-fit testing for a continuous multivariate parametric model," Journal of Multivariate Analysis, Elsevier, vol. 196(C).
    2. Wenceslao González-Manteiga & Rosa Crujeiras, 2013. "An updated review of Goodness-of-Fit tests for regression models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(3), pages 361-411, September.
    3. Taoufik Bouezmarni & Jeroen Rombouts & Abderrahim Taamouti, 2009. "A Nonparametric Copula Based Test for Conditional Independence with Applications to Granger Causality," CIRANO Working Papers 2009s-28, CIRANO.
    4. Kristensen, Dennis, 2011. "Semi-nonparametric estimation and misspecification testing of diffusion models," Journal of Econometrics, Elsevier, vol. 164(2), pages 382-403, October.
    5. Carlos Tenreiro, 2022. "On automatic kernel density estimate-based tests for goodness-of-fit," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(3), pages 717-748, September.
    6. Tenreiro, Carlos, 2009. "On the choice of the smoothing parameter for the BHEP goodness-of-fit test," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 1038-1053, February.

  59. Georges Dionne & Christian Gourieroux & Charles Vanasse, 2001. "Testing for Evidence of Adverse Selection in the Automobile Insurance Market: A Comment," Journal of Political Economy, University of Chicago Press, vol. 109(2), pages 444-473, April.

    Cited by:

    1. Bedsworth, Fredrick & Neal, Daniel R. & Portillo, Javier E. & Willardsen, Kevin, 2021. "Asymmetric information and insurance: An experimental approach," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 92(C).
    2. Hyojoung Kim & Doyoung Kim & Subin Im & James W. Hardin, 2009. "Evidence of Asymmetric Information in the Automobile Insurance Market: Dichotomous Versus Multinomial Measurement of Insurance Coverage," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(2), pages 343-366, June.
    3. Georges Dionne & Mélissa La Haye & Anne‐Sophie Bergerès, 2015. "Does asymmetric information affect the premium in mergers and acquisitions?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 48(3), pages 819-852, August.
    4. Alma Cohen & Peter Siegelman, 2010. "Testing for Adverse Selection in Insurance Markets," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(1), pages 39-84, March.
    5. Chris Robinson & Bingyong Zheng, 2010. "Moral hazard, insurance claims, and repeated insurance contracts," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 43(3), pages 967-993, August.
    6. Dionne, Georges & Harrington, Scott, 2017. "Insurance and Insurance Markets," Working Papers 17-2, HEC Montreal, Canada Research Chair in Risk Management.
    7. Georges Dionne, 2003. "The Foundationsof Banks' Risk Regulation: A Review of Literature," THEMA Working Papers 2003-46, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    8. Koufopoulos, Kostas, 2002. "Asymmetric information, heterogeneity in risk perceptions and insurance: an explanation to a puzzle," LSE Research Online Documents on Economics 24906, London School of Economics and Political Science, LSE Library.
    9. Georges Dionne & Kili Wang, 2013. "Does insurance fraud in automobile theft insurance fluctuate with the business cycle?," Journal of Risk and Uncertainty, Springer, vol. 47(1), pages 67-92, August.
    10. Makki Shiva S. & Somwaru Agapi L., 2007. "Assessing Adverse Selection in Crop Insurance Markets: An Application of Parametric and Nonparametric Methods," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 2(1), pages 1-22, May.
    11. Fang, Hanming & Keane, Michael & Silverman, Dan, 2006. "Sources of Advantageous Selection: Evidence from the Medigap Insurance Market," Working Papers 17, Yale University, Department of Economics.
    12. Gao Feng & Wang Jun, 2011. "Testing for Adverse Selection in China's Auto Insurance Market," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 5(1), pages 1-16, March.
    13. Pierre Picard & Jennifer Wang & Kili Wang, 2019. "Collusion between Retailers and Customers: The Case of Insurance Fraud in Taiwan," Working Papers hal-02045335, HAL.
    14. Renate Lange & Jörg Schiller & Petra Steinorth, 2017. "Demand and Selection Effects in Supplemental Health Insurance in Germany," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 42(1), pages 5-30, January.
    15. Dionne, Georges & Michaud, Pierre-Carl & Dahchour, Maki, 2004. "Separating moral hazard from adverse selection in automobile insurance: Longitudinal evidence from France," Working Papers 04-5, HEC Montreal, Canada Research Chair in Risk Management.
    16. FEVRIER Ph. & LINNEMER L. & VISSER M., 2009. "Testing for asymmetric information in the viager market," Working Papers ERMES 0909, ERMES, University Paris 2.
    17. de Meza, David & Webb, David C., 2017. "False diagnoses: pitfalls of testing for asymmetric information in insurance markets," LSE Research Online Documents on Economics 65744, London School of Economics and Political Science, LSE Library.
    18. Coelho, Marta & de Meza, David, 2012. "Do bad risks know it? Experimental evidence on optimism and adverse selection," Economics Letters, Elsevier, vol. 114(2), pages 168-171.
    19. Magali Chaudey, 2017. "Why test the theory of incentives in a dynamic framework?," Working Papers 1733, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    20. Chen, An & Li, Hong & Schultze, Mark B., 2023. "Optimal longevity risk transfer under asymmetric information," Economic Modelling, Elsevier, vol. 120(C).
    21. Jean Pinquet & Georges Dionne & Charles Vanasse & Mathieu Maurice, 2007. "Point-record incentives, asymmetric information and dynamic data," Working Papers hal-00243056, HAL.
    22. Clifford Afoakwah & Joshua Byrnes & Paul Scuffham & Son Nghiem, 2023. "Testing for selection bias and moral hazard in private health insurance: Evidence from a mixed public‐private health system," Health Economics, John Wiley & Sons, Ltd., vol. 32(1), pages 3-24, January.
    23. Liran Einav & Amy Finkelstein & Jonathan Levin, 2010. "Beyond Testing: Empirical Models of Insurance Markets," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 311-336, September.
    24. Georges Dionne & Ying Liu, 2021. "Effects of Insurance Incentives on Road Safety: Evidence from a Natural Experiment in China," Scandinavian Journal of Economics, Wiley Blackwell, vol. 123(2), pages 453-477, April.
    25. Wei‐Jin Wu & Chu‐Shiu Li & Sheng‐Chang Peng, 2020. "The relationships between vehicle characteristics and automobile accidents," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 23(4), pages 331-377, December.
    26. Spindler, M., 2014. "“They do know what they are doing ... at least most of them.†Asymmetric Information in the (private) Disability Insurance," Health, Econometrics and Data Group (HEDG) Working Papers 14/16, HEDG, c/o Department of Economics, University of York.
    27. Segovia-Gonzalez, M.M. & Guerrero, F.M. & Herranz, P., 2009. "Explaining functional principal component analysis to actuarial science with an example on vehicle insurance," Insurance: Mathematics and Economics, Elsevier, vol. 45(2), pages 278-285, October.
    28. Pierre-André Chiappori & Bernard Salanié, 2002. "Testing Contract Theory : A Survey of Some Recent Work," Working Papers 2002-11, Center for Research in Economics and Statistics.
    29. Karlsson, Martin & Klohn, Florian & Rickayzen, Ben, 2012. "Are the Dimensions of Private Information More Multiple than Expected? Information Asymmetries in the Market of Supplementary Private Health Insurance in England," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57826, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    30. Georges Dionne & Jean Pinquet & Mathieu Maurice & Charles Vanasse, 2011. "Incentive Mechanisms for Safe Driving: A Comparative Analysis with Dynamic Data," The Review of Economics and Statistics, MIT Press, vol. 93(1), pages 218-227, February.
    31. Feng Gao & Michael R. Powers & Jun Wang, 2017. "Decomposing Asymmetric Information in China's Automobile Insurance Market," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(4), pages 1269-1293, December.
    32. Georges Dionne & Kili C. Wang, 2011. "Does Opportunistic Fraud in Automobile theft Insurance Fluctuate with the Business Cycle ?," Cahiers de recherche 1121, CIRPEE.
    33. Hao Zheng & Yi Yao & Yinglu Deng & Feng Gao, 2022. "Information asymmetry, ex ante moral hazard, and uninsurable risk in liability coverage: Evidence from China's automobile insurance market," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(1), pages 131-160, March.
    34. Hanming Fang & Zenan Wu, 2016. "Multidimensional Private Information, Market Structure and Insurance Markets," NBER Working Papers 22773, National Bureau of Economic Research, Inc.
    35. Gao, Feng & Powers, Michael R. & Wang, Jun, 2009. "Adverse selection or advantageous selection? Risk and underwriting in China's health-insurance market," Insurance: Mathematics and Economics, Elsevier, vol. 44(3), pages 505-510, June.
    36. Sonnenholzner, Michael & Wambach, Achim, 2006. "On the role of patience in an insurance market with asymmetric information," CFS Working Paper Series 2007/04, Center for Financial Studies (CFS).
    37. Jan Michael Bauer & Jörg Schiller & Christopher Schreckenberger, 2020. "Heterogeneous selection in the market for private supplemental dental insurance: evidence from Germany," Empirical Economics, Springer, vol. 59(1), pages 205-231, July.
    38. Tomas J. Philipson & George Zanjani, 2013. "Economic Analysis of Risk and Uncertainty induced by Health Shocks: A Review and Extension," NBER Working Papers 19005, National Bureau of Economic Research, Inc.
    39. Chu-Shiu Li & Sheng-Chang Peng, 2011. "Can Auto Liability Insurance Purchases Signal Risk Attitude?," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 10(2), pages 159-164, August.
    40. Rothschild, Casey G., 2009. "Adverse selection in annuity markets: Evidence from the British Life Annuity Act of 1808," Journal of Public Economics, Elsevier, vol. 93(5-6), pages 776-784, June.
    41. Dionne, G., 2001. "Commitment and Automobile Insurance Regulation in France, Quebec and Japan," Ecole des Hautes Etudes Commerciales de Montreal- 01-04, Ecole des Hautes Etudes Commerciales de Montreal-Chaire de gestion des risques..
    42. Dionne, Georges & Rothschild, Casey, 2012. "Risk classification in insurance contracting," Working Papers 11-5, HEC Montreal, Canada Research Chair in Risk Management.
    43. Georges Dionne & Pierre-Carl Michaud & Maki Dahchour, 2010. "Separating Moral Hazard from Adverse Selection and Learning in Automobile Insurance: Longitudinal Evidence from France," Cahiers de recherche 1035, CIRPEE.
    44. Eling, Martin & Jia, Ruo & Yao, Yi, 2014. "Between-Group Adverse Selection: Evidence from Group Critical Illness Insurance," Working Papers on Finance 1403, University of St. Gallen, School of Finance, revised Oct 2014.
    45. Amy Finkelstein & James Poterba, 2014. "Testing for Asymmetric Information Using “Unused Observables” in Insurance Markets: Evidence from the U.K. Annuity Market," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 81(4), pages 709-734, December.
    46. Dionne, Georges & Michaud, Pierre-Carl & Pinquet, Jean, 2012. "A review of recent theoretical and empirical analyses of asymmetric information in road safety and automobile insurance," Working Papers 12-1, HEC Montreal, Canada Research Chair in Risk Management.
    47. Koufopoulos, Kostas, 2007. "On the positive correlation property in competitive insurance markets," Journal of Mathematical Economics, Elsevier, vol. 43(5), pages 597-605, June.
    48. G. Dionne & R. Gagné, 2000. "Replacement Cost Endorsement and Opportunistic Fraud in Automobile Insurance," THEMA Working Papers 2000-06, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    49. Ma, Yu-Luen & Zhu, Xiaoyu & Hu, Xianbiao & Chiu, Yi-Chang, 2018. "The use of context-sensitive insurance telematics data in auto insurance rate making," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 243-258.
    50. Tingting Chen & Anthony Francis Desmond & Peter Adamic, 2023. "Generalized Additive Modelling of Dependent Frequency and Severity Distributions for Aggregate Claims," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 12(4), pages 1-1.
    51. Pierre‐André Chiappori & Bruno Jullien & Bernard Salanié & François Salanié, 2006. "Asymmetric information in insurance: general testable implications," RAND Journal of Economics, RAND Corporation, vol. 37(4), pages 783-798, December.
    52. Juan He & Roderick Rejesus & Xiaoyong Zheng & Jose Yorobe, 2018. "Advantageous Selection in Crop Insurance: Theory and Evidence," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(3), pages 646-668, September.
    53. Martin Spindler & Joachim Winter & Steffen Hagmayer, 2014. "Asymmetric Information in the Market for Automobile Insurance: Evidence From Germany," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 81(4), pages 781-801, December.
    54. Joseph G. Eisenhauer, 2004. "Risk Aversion and the Willingness to Pay for Insurance: A Cautionary Discussion of Adverse Selection," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 7(2), pages 165-175, September.
    55. Shi, Peng & Valdez, Emiliano A., 2011. "A copula approach to test asymmetric information with applications to predictive modeling," Insurance: Mathematics and Economics, Elsevier, vol. 49(2), pages 226-239, September.
    56. Georges Dionne & Nathalie Fombaron & Neil Doherty, 2012. "Adverse Selection in Insurance Contracting," Cahiers de recherche 1231, CIRPEE.
    57. Wu, T.C. Michael & Yang, C.C., 2012. "The welfare effect of income tax deductions for losses as insurance: Insured- versus insurer-sided adverse selection," Economic Modelling, Elsevier, vol. 29(6), pages 2641-2645.
    58. Grönqvist, Erik, 2006. "(M)oral Hazard?," SSE/EFI Working Paper Series in Economics and Finance 642, Stockholm School of Economics.
    59. Eric Le Fur & J. François Outreville, 2021. "Real Options and Reduction of Basic Risk of Index‐Based Climate Agricultural Insurance," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(4), pages 1658-1671, December.
    60. Hector Chade & Edward Schlee, 2008. "Optimal Insurance with Adverse Selection," Levine's Working Paper Archive 122247000000002175, David K. Levine.
    61. Dardanoni, V & Li Donni, P, 2008. "Testing For Asymmetric Information In Insurance Markets With Unobservable Types," Health, Econometrics and Data Group (HEDG) Working Papers 08/26, HEDG, c/o Department of Economics, University of York.
    62. R. Guy Thomas, 2008. "Loss Coverage as a Public Policy Objective for Risk Classification Schemes," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 75(4), pages 997-1018, December.
    63. Alois Geyer & Daniela Kremslehner & Alexander Muermann, 2020. "Asymmetric Information in Automobile Insurance: Evidence From Driving Behavior," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(4), pages 969-995, December.
    64. David A. Cather, 2018. "Cream Skimming: Innovations in Insurance Risk Classification and Adverse Selection," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 21(2), pages 335-366, September.
    65. Paul Kofman & Gregory P. Nini, 2013. "Do Insurance Companies Possess an Informational Monopoly? Empirical Evidence From Auto Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 80(4), pages 1001-1026, December.
    66. Spindler, Martin, 2013. "“They do know what they are doing... at least most of them.†Asymmetric Information in the (private) Disability Insurance," MEA discussion paper series 201209, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    67. Sebastian Soika, 2018. "Moral Hazard and Advantageous Selection in Private Disability Insurance," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 43(1), pages 97-125, January.
    68. G. Dionne, 2001. "Commitment and Automobile Insurance in France, Quebec and Japan," THEMA Working Papers 2001-10, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    69. Ari Hyytinen & Mika Pajarinen, 2005. "External Finance, Firm Growth and the Benefits of Information Disclosure: Evidence from Finland," European Journal of Law and Economics, Springer, vol. 19(1), pages 69-93, January.
    70. Hyytinen, Ari & Pajarinen, Mika, 2003. "External Finance, Firm Growth and the Benefits of Information Disclosure: Evidence from Finland (Revised)," Discussion Papers 805, The Research Institute of the Finnish Economy.
    71. Imen Karaa, 2018. "Moral Hazard and Learning in the Tunisian Automobile Insurance Market: New Evidence from Dynamic Data," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 43(3), pages 560-589, July.
    72. Jedidi, Helmi & Dionne, Georges, 2019. "Nonparametric testing for information asymmetry in the mortgage servicing market," Working Papers 19-1, HEC Montreal, Canada Research Chair in Risk Management, revised 28 Oct 2019.
    73. Kostas Koufopoulos, 2002. "Asymmetric Information, Heterogeneity in Risk Perceptions and Insurance: An Explanation to a Puzzle," FMG Discussion Papers dp402, Financial Markets Group.
    74. Nathalie Fombaron & Georges Dionne & Wanda Mimra, 2023. "Adverse Sélection in Insurance," Post-Print hal-04416340, HAL.
    75. Karl Ove Aarbu, 2017. "Asymmetric Information in the Home Insurance Market," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(1), pages 35-72, March.
    76. David W. Harless & George E. Hoffer, 2003. "Testing for Offsetting Behavior and Adverse Recruitment Among Drivers of Airbag‐Equipped Vehicles," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 70(4), pages 629-650, December.
    77. Bo Qu & Li Wei & Ping Wei, 2018. "An Empirical Investigation of Asymmetric Information in China’s Automobile Insurance Market," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 43(3), pages 520-538, July.
    78. Ricardo Smith Ramírez, 2007. "Testing for information asymmetries in voluntary conservation contracts," Working papers DTE 402, CIDE, División de Economía.
    79. Noureddine Benlagha & Imen Karaa, 2017. "Evidence of adverse selection in automobile insurance market: A seemingly unrelated probit modelling," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1330303-133, January.
    80. Christophe Dutang, 2012. "The customer, the insurer and the market," Post-Print hal-01616152, HAL.
    81. Cannon, Edmund & Cipriani, Giam Pietro & Bazar-Rosen, Katia, 2014. "Surprising Selection Effects in the UK Car Insurance Market," IZA Discussion Papers 8172, Institute of Labor Economics (IZA).
    82. Dionne, G. & Maurice, M. & Pinquet, J. & Vanasse, C., 2001. "The Role of Memory in Long-Term Contracting with Moral Hazard: Empirical Evidence in Automobile Insurance," Ecole des Hautes Etudes Commerciales de Montreal- 01-05, Ecole des Hautes Etudes Commerciales de Montreal-Chaire de gestion des risques..
    83. Dionne, Georges, 2012. "The empirical measure of information problems with emphasis on insurance fraud and dynamic data," Working Papers 12-10, HEC Montreal, Canada Research Chair in Risk Management.
    84. Huang, Rachel J. & Jeng, Vivian & Wang, Cheng-Wei & Yue, Jack C., 2021. "Does size and book-to-market contain intangible information about managerial incentives? Learning from corporate D&O insurance purchase," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    85. Chao Ma, 2021. "Be Cautious In The Last Month: The Sunk Cost Fallacy Held By Car Insurance Policyholders," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(3), pages 1199-1236, August.
    86. Amy Finkelstein & Kathleen McGarry, 2006. "Multiple Dimensions of Private Information: Evidence from the Long-Term Care Insurance Market," American Economic Review, American Economic Association, vol. 96(4), pages 938-958, September.
    87. Daniel Bauer & Jochen Russ & Nan Zhu, 2020. "Asymmetric information in secondary insurance markets: Evidence from the life settlements market," Quantitative Economics, Econometric Society, vol. 11(3), pages 1143-1175, July.
    88. Xiaoqi Zhang & Yi Chen & Yi Yao, 2021. "Dynamic information asymmetry in micro health insurance: implications for sustainability," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 46(3), pages 468-507, July.
    89. David A. Cather, 2020. "Reconsidering insurance discrimination and adverse selection in an era of data analytics," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(3), pages 426-456, July.
    90. David Rowell & Son Nghiem & Luke B Connelly, 2017. "Two Tests for Ex Ante Moral Hazard in a Market for Automobile Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(4), pages 1103-1126, December.
    91. James Kau & Donald Keenan & Constantine Lyubimov & V. Slawson, 2012. "Asymmetric Information in the Subprime Mortgage Market," The Journal of Real Estate Finance and Economics, Springer, vol. 44(1), pages 67-89, January.
    92. Pierre Picard & Kili Wang, 2015. "INSURANCE FRAUD THROUGH COLLUSION BETWEEN POLICYHOLDERS AND CAR DEALERS: THEORY AND EMPIRICAL EVIDENCE Pierre PICARD," Working Papers hal-01140590, HAL.
    93. Olfa N. Ghali, 2001. "An Empirical Evaluation of the Implementation of the Bonus-Malus System in the Tunisian Automobile Insurance Ratemaking," Working Papers 0135, Economic Research Forum, revised 11 2001.
    94. Renate Lange & Jörg Schiller & Petra Steinorth, 2015. "Demand and Selection Effects in Supplemental Health Insurance in Germany," SOEPpapers on Multidisciplinary Panel Data Research 757, DIW Berlin, The German Socio-Economic Panel (SOEP).
    95. Hyytinen, Ari & Väänänen, Lotta, 2004. "Could Mr. and Mrs. Capital Market Imperfection Please Step Forward? An Empirical Analysis of Adverse Selection and Moral Hazard in Capital Markets," Discussion Papers 887, The Research Institute of the Finnish Economy.
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    98. Coe, Norma B. & Skira, Meghan M. & Van Houtven, Courtney Harold, 2015. "Long-term care insurance: Does experience matter?," Journal of Health Economics, Elsevier, vol. 40(C), pages 122-131.
    99. Donatella Porrini, 2015. "Risk Classification Efficiency and the Insurance Market Regulation," Risks, MDPI, vol. 3(4), pages 1-10, September.
    100. Chun-Ting Liu & Jui-Yun Wu & Chi-Hung Chang, 2020. "Switching motivation and moral hazard: evidence from automobile physical damage insurance in Taiwan," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(2), pages 361-391, April.
    101. Jennifer L. Wang & Ching‐Fan Chung & Larry Y. Tzeng, 2008. "An Empirical Analysis of the Effects of Increasing Deductibles on Moral Hazard," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 75(3), pages 551-566, September.
    102. Buchmueller, Thomas C. & Fiebig, Denzil G. & Jones, Glenn & Savage, Elizabeth, 2013. "Preference heterogeneity and selection in private health insurance: The case of Australia," Journal of Health Economics, Elsevier, vol. 32(5), pages 757-767.

  60. Darolles, Serge & Gourieroux, Christian, 2001. "Truncated dynamics and estimation of diffusion equations," Journal of Econometrics, Elsevier, vol. 102(1), pages 1-22, May.
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  61. Serge Darolles & Christian Gouriéroux & Gaëlle Le Fol, 2000. "Intraday Transaction Price Dynamics," Annals of Economics and Statistics, GENES, issue 60, pages 207-238.

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    1. Antonio A. F. Santos, 2021. "Bayesian Estimation for High-Frequency Volatility Models in a Time Deformed Framework," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 455-479, February.
    2. Edson Kambeu & Olipha Mpofu & Drayton Muchochoma, 2017. "Price Discovery and Volatility:A theoretical Approach," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 6(2), pages 37-43, April.
    3. Hautsch, Nikolaus & Pohlmeier, Winfried, 2001. "Econometric Analysis of Financial Transaction Data: Pitfalls and Opportunities," CoFE Discussion Papers 01/05, University of Konstanz, Center of Finance and Econometrics (CoFE).
    4. Joann Jasiak, 1996. "Persistence in Intertrade Durations," Working Papers 1999_8, York University, Department of Economics, revised Mar 1999.
    5. Simonsen, Ola, 2005. "An Empirical Model for Durations in Stocks," Umeå Economic Studies 657, Umeå University, Department of Economics.
    6. Hautsch, Nikolaus, 1999. "Analyzing the Time between Trades with a Gamma Compounded Hazard Model. An Application to LIFFE Bund Future Transactions," CoFE Discussion Papers 99/03, University of Konstanz, Center of Finance and Econometrics (CoFE).
    7. Tina Hviid Rydberg & Neil Shephard, 2003. "Dynamics of Trade-by-Trade Price Movements: Decomposition and Models," Journal of Financial Econometrics, Oxford University Press, vol. 1(1), pages 2-25.
    8. GIOT, Pierre, 2001. "Time transformations, intraday data, and volatility models," LIDAM Reprints CORE 1500, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    9. Ola Simonsen, 2007. "An empirical model for durations in stocks," Annals of Finance, Springer, vol. 3(2), pages 241-255, March.

  62. Clement, E. & Gourieroux, C. & Monfort, A., 2000. "Econometric specification of the risk neutral valuation model," Journal of Econometrics, Elsevier, vol. 94(1-2), pages 117-143.
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  63. Eric Ghysels & Christian Gouriéroux & Joann Jasiak, 2000. "Causality between Returns and Traded Volumes," Annals of Economics and Statistics, GENES, issue 60, pages 189-206.
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  64. Gourieroux, C. & Laurent, J. P. & Scaillet, O., 2000. "Sensitivity analysis of Values at Risk," Journal of Empirical Finance, Elsevier, vol. 7(3-4), pages 225-245, November.
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  65. Gourieroux, Christian & Jasiak, Joanna & Le Fol, Gaelle, 1999. "Intra-day market activity," Journal of Financial Markets, Elsevier, vol. 2(3), pages 193-226, August.

    Cited by:

    1. Luc Bauwens & Pierre Giot & Joachim Grammig & David Veredas, 2000. "A Comparison of Financial Duration Models via Density Forecasts," Econometric Society World Congress 2000 Contributed Papers 0810, Econometric Society.
    2. Veredas, David & Rodríguez Poo, Juan M. & Espasa, Antoni, 2001. "On the (intradaily) seasonality and dynamics of a financial point process: a semiparametric approach," DES - Working Papers. Statistics and Econometrics. WS ws013321, Universidad Carlos III de Madrid. Departamento de Estadística.
    3. Joann Jasiak & Christian Gourieroux, 2006. "Autoregressive gamma processes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(2), pages 129-152.
    4. Richard Y. Chen & Per A. Mykland, 2015. "Model-Free Approaches to Discern Non-Stationary Microstructure Noise and Time-Varying Liquidity in High-Frequency Data," Papers 1512.06159, arXiv.org, revised Oct 2018.
    5. Wong, Jian Cheng & Lian, Heng & Cheong, Siew Ann, 2009. "Detecting macroeconomic phases in the Dow Jones Industrial Average time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(21), pages 4635-4645.
    6. Marcelo Fernandes & Joachim Grammig, 2000. "Non-Parametric Specification Tests For Conditional Duration Models," Computing in Economics and Finance 2000 40, Society for Computational Economics.
    7. Hautsch, Nikolaus & Pohlmeier, Winfried, 2001. "Econometric Analysis of Financial Transaction Data: Pitfalls and Opportunities," CoFE Discussion Papers 01/05, University of Konstanz, Center of Finance and Econometrics (CoFE).
    8. Alla A. Petukhina & Raphael C. G. Reule & Wolfgang Karl Härdle, 2021. "Rise of the machines? Intraday high-frequency trading patterns of cryptocurrencies," The European Journal of Finance, Taylor & Francis Journals, vol. 27(1-2), pages 8-30, January.
    9. Joann Jasiak, 1996. "Persistence in Intertrade Durations," Working Papers 1999_8, York University, Department of Economics, revised Mar 1999.
    10. Gerhard, Frank & Hautsch, Nikolaus, 1999. "Volatility Estimation on the Basis of Price Intensities," CoFE Discussion Papers 99/19, University of Konstanz, Center of Finance and Econometrics (CoFE).
    11. Ban Zheng & François Roueff & Frédéric Abergel, 2014. "Ergodicity and scaling limit of a constrained multivariate Hawkes process," Post-Print hal-00777941, HAL.
    12. Jedrzej Bialkowski & Serge Darolles & Gaëlle Le Fol, 2008. "Improving VWAP strategies: A dynamic volume approach," Post-Print halshs-00676946, HAL.
    13. Luc Bauwens & David Veredas, 2004. "The stochastic conditional duration model: a latent factor model for the analysis of financial durations," ULB Institutional Repository 2013/136234, ULB -- Universite Libre de Bruxelles.
    14. Adriana Bortoluzzo & Pedro Morettin & Clelia Toloi, 2010. "Time-varying autoregressive conditional duration model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(5), pages 847-864.
    15. Fernandes, Marcelo, 2003. "Bounds for the probability distribution function of the linear ACD process," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 488, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    16. Pham, Thu Phuong & Singh, Harminder & Vu, Van Hoang, 2023. "The impact of bank loan announcements on stock liquidity," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 848-864.
    17. GIOT, Pierre, 2001. "Time transformations, intraday data, and volatility models," LIDAM Reprints CORE 1500, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    18. Christian Gourieroux & Gaëlle Le Fol, 1997. "Volatilités et mesures de risque," Post-Print halshs-00877048, HAL.
    19. Ye, Xunyu & Gao, Ping & Li, Handong, 2015. "Improving estimation of the fractionally differencing parameter in the SARFIMA model using tapered periodogram," Economic Modelling, Elsevier, vol. 46(C), pages 167-179.
    20. Magdalena Osinska & Andrzej Dobrzynski & Yochanan Shachmurove, 2016. "Performance Of American And Russian Joint Stock Companies On Financial Market. A Microstructure Perspective," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(4), pages 819-851, December.
    21. Christian Hafner, 2005. "Durations, volume and the prediction of financial returns in transaction time," Quantitative Finance, Taylor & Francis Journals, vol. 5(2), pages 145-152.
    22. Eric Ghysels & Christian Gourieroux & Joanna Jasiak, 1997. "Stochastic Volatility Duration Models," Working Papers 97-46, Center for Research in Economics and Statistics.
    23. Dirk Schiereck & Christian Voigt, 2010. "With or without you: market quality of floor trading when screen trading closes early," Review of Quantitative Finance and Accounting, Springer, vol. 34(2), pages 179-197, February.
    24. Merrouche, Ouarda & Schanz, Jochen, 2009. "Banks' intraday liquidity management during operational outages: theory and evidence from the UK payment system," Bank of England working papers 370, Bank of England.
    25. Humphery-Jenner, M., 2011. "High Frequency Trading, Information, and Takeovers," Discussion Paper 2011-047, Tilburg University, Center for Economic Research.
    26. Joachim Grammig & Reinhard Hujer & Stefan Kokot, 2002. "Tackling Boundary Effects in Nonparametric Estimation of Intra-Day Liquidity Measures," Computational Statistics, Springer, vol. 17(2), pages 233-249, July.
    27. Li, Yingying & Xie, Shangyu & Zheng, Xinghua, 2016. "Efficient estimation of integrated volatility incorporating trading information," Journal of Econometrics, Elsevier, vol. 195(1), pages 33-50.
    28. Eom, Kyong Shik & Ok, Jinho & Park, Jong-Ho, 2007. "Pre-trade transparency and market quality," Journal of Financial Markets, Elsevier, vol. 10(4), pages 319-341, November.
    29. Rama Cont & Adrien De Larrard, 2011. "Price dynamics in a Markovian limit order market," Papers 1104.4596, arXiv.org.
    30. Jedrzej Bialkowski & Serge Darolles & Gaëlle Le Fol, 2005. "Decomposing Volume for VWAP Strategies," Working Papers 2005-16, Center for Research in Economics and Statistics.
    31. James McCulloch & Vladimir Kazakov, 2007. "Optimal VWAP Trading Strategy and Relative Volume," Research Paper Series 201, Quantitative Finance Research Centre, University of Technology, Sydney.
    32. Chen, Richard Y. & Mykland, Per A., 2017. "Model-free approaches to discern non-stationary microstructure noise and time-varying liquidity in high-frequency data," Journal of Econometrics, Elsevier, vol. 200(1), pages 79-103.
    33. Ferriani, Fabrizio, 2010. "Informed and uninformed traders at work: evidence from the French market," MPRA Paper 24487, University Library of Munich, Germany.
    34. Rama Cont & Adrien de Larrard, 2013. "Price Dynamics in a Markovian Limit Order Market," Post-Print hal-00552252, HAL.
    35. Bauwens, Luc & Veredas, David, 2004. "The stochastic conditional duration model: a latent variable model for the analysis of financial durations," Journal of Econometrics, Elsevier, vol. 119(2), pages 381-412, April.
    36. François-Éric Racicot & Raymond Théoret & Alain Coën, 2008. "Forecasting Irregularly Spaced UHF Financial Data: Realized Volatility vs UHF-GARCH Models," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 14(1), pages 112-124, February.
    37. Gao, Xuefeng & Zhu, Lingjiong, 2018. "Limit theorems for Markovian Hawkes processes with a large initial intensity," Stochastic Processes and their Applications, Elsevier, vol. 128(11), pages 3807-3839.
    38. GIOT, Pierre & GRAMMIG, Joachim, 2006. "How large is liquidity risk in an automated auction market?," LIDAM Reprints CORE 1846, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    39. Roman Huptas, 2019. "Point forecasting of intraday volume using Bayesian autoregressive conditional volume models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 38(4), pages 293-310, July.
    40. Szymon Stereńczak, 2021. "Minimum tick size reduction and stock liquidity: lessons from the Warsaw Stock Exchange," Bank i Kredyt, Narodowy Bank Polski, vol. 52(6), pages 545-576.
    41. Matei Demetrescu, 2007. "Volatility Clustering in High-Frequency Data: A self-fulfilling prophecy?," Economics Bulletin, AccessEcon, vol. 7(15), pages 1-8.
    42. Martin D. Gould & Mason A. Porter & Sam D. Howison, 2015. "Quasi-Centralized Limit Order Books," Papers 1502.00680, arXiv.org, revised Oct 2016.
    43. Jedrzej Bialkowski & Serge Darolles & Gaëlle Le Fol, 2012. "Reducing the risk of VWAP orders execution - A new approach to modeling intra-day volume," Post-Print hal-01632822, HAL.
    44. Elezovic, Suad, 2009. "Functional modelling of volatility in the Swedish limit order book," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2107-2118, April.
    45. Humphery-Jenner, M., 2011. "High Frequency Trading, Information, and Takeovers," Other publications TiSEM 30aa1477-0fb2-46ed-a5eb-f, Tilburg University, School of Economics and Management.
    46. Vladimir Benic & Ivna Franic, 2008. "Stock Market Liquidity: Comparative Analysis of Croatian and Regional Markets," Financial Theory and Practice, Institute of Public Finance, vol. 32(4), pages 477-498.
    47. Ban Zheng & Franc{c}ois Roueff & Fr'ed'eric Abergel, 2013. "Ergodicity and scaling limit of a constrained multivariate Hawkes process," Papers 1301.5007, arXiv.org, revised Feb 2014.
    48. Humphery-Jenner, M., 2011. "High Frequency Trading, Information, and Takeovers," Other publications TiSEM 0e6dd147-6f57-4f32-b265-f, Tilburg University, School of Economics and Management.
    49. Dionne, Georges & Duchesne, Pierre & Pacurar, Maria, 2005. "Intraday Value at Risk (IVaR) using tick-by-tick data with application to the Toronto Stock Exchange," Working Papers 05-9, HEC Montreal, Canada Research Chair in Risk Management.
    50. Bortoluzzo, Adriana B. & Morettin, Pedro A. & Toloi, Clelia M. C., 2008. "Time-Varying Autoregressive Conditional Duration Model," Insper Working Papers wpe_174, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.

  66. Gourieroux, C. & Jouneau, F., 1999. "Econometrics of efficient fitted portfolios," Journal of Empirical Finance, Elsevier, vol. 6(1), pages 87-118, January.

    Cited by:

    1. Pelizzon, Loriana & Weber, Guglielmo, 2009. "Efficient portfolios when housing needs change over the life cycle," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2110-2121, November.
    2. Loriana Pelizzon & Guglielmo Weber, 2006. "Are Household Portfolios Efficient? An Analysis Conditional on Housing," Working Papers 2006_55, Department of Economics, University of Venice "Ca' Foscari".
    3. Alessandro Bucciol & Raffaele Miniaci, 2006. "Optimal asset allocation based on utility maximization in the presence of market frictions," "Marco Fanno" Working Papers 0012, Dipartimento di Scienze Economiche "Marco Fanno".
    4. Bob Korkie & Harry J. Turtle, 2002. "A Mean-Variance Analysis of Self-Financing Portfolios," Management Science, INFORMS, vol. 48(3), pages 427-443, March.
    5. Darolles, Serge & Gourieroux, Christian, 2010. "Conditionally fitted Sharpe performance with an application to hedge fund rating," Journal of Banking & Finance, Elsevier, vol. 34(3), pages 578-593, March.
    6. Gourieroux, C. & Monfort, A., 2005. "The econometrics of efficient portfolios," Journal of Empirical Finance, Elsevier, vol. 12(1), pages 1-41, January.
    7. Raffaele Miniaci & Sergio Pastorello, 2010. "Mean-variance econometric analysis of household portfolios," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(3), pages 481-504.
    8. Walter Briec & Kristiaan Kerstens & Jean Baptiste Lesourd, 2001. "Single Period Markowitz Portfolio Selection, Performance Gading and Duality: A Variation on Luenberger'a Shortage Function," Working Papers 0203, Departament Empresa, Universitat Autònoma de Barcelona, revised Apr 2002.

  67. Christian Gourieroux & Jean Paul Laurent & Huyên Pham, 1998. "Mean‐Variance Hedging and Numéraire," Mathematical Finance, Wiley Blackwell, vol. 8(3), pages 179-200, July.
    See citations under working paper version above.
  68. Christian Gouriéroux & Gaëlle Le Fol, 1998. "Effet des modes de négociation sur les échanges," Revue Économique, Programme National Persée, vol. 49(3), pages 795-808.

    Cited by:

    1. Remzi Uctum & Patricia Renou‐Maissant & Georges Prat & Sylvie Lecarpentier‐Moyal, 2017. "Persistence of announcement effects on the intraday volatility of stock returns: Evidence from individual data," Review of Financial Economics, John Wiley & Sons, vol. 35(1), pages 43-56, November.
    2. Jedrzej Bialkowski & Serge Darolles & Gaëlle Le Fol, 2005. "Decomposing Volume for VWAP Strategies," Working Papers 2005-16, Center for Research in Economics and Statistics.
    3. Sylvie Lecarpentier-Moyal & Georges Prat & Patricia Renou-Maissant & Remzi Uctum, 2013. "Persistence of announcement effects on the intraday volatility of stock returns: evidence from individual data," Working Papers hal-04141172, HAL.

  69. Geert Dhaene & Christian Gourieroux & Olivier Scaillet, 1998. "Instrumental Models and Indirect Encompassing," Econometrica, Econometric Society, vol. 66(3), pages 673-688, May.

    Cited by:

    1. Li, Tong, 2010. "Indirect inference in structural econometric models," Journal of Econometrics, Elsevier, vol. 157(1), pages 120-128, July.
    2. Dhaene, Geert & Scaillet, Olivier, 2000. "Reversed Score and Likelihood Ratio Tests," LIDAM Discussion Papers IRES 2000026, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    3. CHESHER, Andrew & DHAENE, Geert & GOURIEROUX, Christian & SCAILLET, Olivier, 1999. "Bartlett identities tests," LIDAM Discussion Papers CORE 1999039, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Dridi, Ramdan & Renault, Eric, 2000. "Semi-parametric indirect inference," LSE Research Online Documents on Economics 6864, London School of Economics and Political Science, LSE Library.
    5. Alain Hecq & Li Sun, 2019. "Identification of Noncausal Models by Quantile Autoregressions," Papers 1904.05952, arXiv.org.
    6. Lapenta, Elia & Lavergne, Pascal, 2022. "Encompassing Tests for Nonparametric Regressions," TSE Working Papers 22-1332, Toulouse School of Economics (TSE).
    7. Elia Lapenta & Pascal Lavergne, 2022. "Encompassing Tests for Nonparametric Regressions," Papers 2203.06685, arXiv.org, revised Oct 2023.
    8. Gourieroux, Christian & Jasiak, Joann, 2018. "Misspecification of noncausal order in autoregressive processes," Journal of Econometrics, Elsevier, vol. 205(1), pages 226-248.
    9. Hecq Alain & Sun Li, 2021. "Selecting between causal and noncausal models with quantile autoregressions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(5), pages 393-416, December.
    10. Roger WALDER, 2002. "Interactions Between Market and Credit Risk: Modeling the Joint Dynamics of Default-Free and Defaultable Bond Term Structures," FAME Research Paper Series rp56, International Center for Financial Asset Management and Engineering.

  70. Gourieroux, Christian & Magnac, Thierry, 1997. "Duration, transition and count data models Introduction," Journal of Econometrics, Elsevier, vol. 79(2), pages 195-199, August.

    Cited by:

    1. Jean Pinquet & Georges Dionne, 1999. "Experience rating schemes for fleets of vehicles," Post-Print hal-00396999, HAL.

  71. Breitung, Jorg & Gourieroux, Christian, 1997. "Rank tests for unit roots," Journal of Econometrics, Elsevier, vol. 81(1), pages 7-27, November.
    See citations under working paper version above.
  72. Gourieroux, C. & Visser, M., 1997. "A count data model with unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 79(2), pages 247-268, August.

    Cited by:

    1. Gurmu, Shiferaw & Rilstone, Paul & Stern, Steven, 1998. "Semiparametric estimation of count regression models1," Journal of Econometrics, Elsevier, vol. 88(1), pages 123-150, November.
    2. G. Dionne & C. Vanasse, 1997. "Une évaluation empirique de la nouvelle tarification de l'assurance automobile (1992) au Québec," THEMA Working Papers 97-22, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    3. Dionne, G. & Gagne, R. & Gagnon, F. & Vanasse, C., 1993. "Debt, Moral Hazard and Airline Safety : An Empirical Evidence," Cahiers de recherche 9309, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    4. Lord, Dominique & Mannering, Fred, 2010. "The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 291-305, June.
    5. José Santos & M. Neves, 2008. "A local maximum likelihood estimator for Poisson regression," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 68(3), pages 257-270, November.
    6. Gourieroux, C. & Jasiak, J., 2004. "Heterogeneous INAR(1) model with application to car insurance," Insurance: Mathematics and Economics, Elsevier, vol. 34(2), pages 177-192, April.
    7. Óscar Lourenço & Carlota Quintal & Pedro Lopes Ferreira & Pedro Pita Barros, 2007. "A equidade na utilização de cuidados de saúde em Portugal: Uma avaliação baseada em modelos de contagem," Notas Económicas, Faculty of Economics, University of Coimbra, issue 25, pages 6-26, June.
    8. James E. Prieger, 2002. "Regulation, Innovation, and the Introduction of New Telecommunications Services," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 704-715, November.
    9. Nordfjærn, Trond & Egset, Kaja Solland & Mehdizadeh, Milad, 2019. "“Winter is coming”: Psychological and situational factors affecting transportation mode use among university students," Transport Policy, Elsevier, vol. 81(C), pages 45-53.

  73. Christian Gouriéroux & Irina Peaucelle, 1996. "Diffusion et effet de vague," Annals of Economics and Statistics, GENES, issue 44, pages 191-217.

    Cited by:

    1. Peaucelle, Irina, 2002. "Capital social et anthroponomie," CEPREMAP Working Papers (Couverture Orange) 0204, CEPREMAP.

  74. Broze, Laurence & Gouriéroux, Christian & Szafarz, Ariane, 1995. "Solutions of multivariate Rational Expectations Models," Econometric Theory, Cambridge University Press, vol. 11(2), pages 229-257, February.
    See citations under working paper version above.
  75. De Toldi, M. & Gourieroux, C. & Monfort, A., 1995. "Prepayment analysis for securitization," Journal of Empirical Finance, Elsevier, vol. 2(1), pages 45-70, March.

    Cited by:

    1. Kim Changki, 2005. "Surrender Rate Impacts on Asset Liability Management," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 1(1), pages 1-36, June.
    2. Adlane Haffar & Éric Le Fur & Mohamed Khordj, 2023. "Securitization of pandemic risk by using coronabond," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(2), pages 209-229, June.

  76. Gouriéroux, Christian & Monfort, Alain, 1995. "Testing, Encompassing, and Simulating Dynamic Econometric Models," Econometric Theory, Cambridge University Press, vol. 11(2), pages 195-228, February.
    See citations under working paper version above.
  77. Christian Gouriéroux & Alain Monfort & Eric Renault, 1993. "Tests sur le noyau, l'image et le rang de la matrice des coefficients d'un modéle linéaire multivarié," Annals of Economics and Statistics, GENES, issue 32, pages 81-111.

    Cited by:

    1. Dufour, Jean-Marie & Khalaf, Lynda, 2002. "Simulation based finite and large sample tests in multivariate regressions," Journal of Econometrics, Elsevier, vol. 111(2), pages 303-322, December.
    2. Zaka Ratsimalahelo, 2003. "Strongly Consistent Determination of the Rank of Matrix," EERI Research Paper Series EERI_RP_2003_04, Economics and Econometrics Research Institute (EERI), Brussels.
    3. Beaulieu, Marie-Claude & Dufour, Jean-Marie & Khalaf, Lynda, 2009. "Finite sample multivariate tests of asset pricing models with coskewness," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2008-2021, April.
    4. Michel Beine & Alain Hecq, 1998. "Codependence and convergence in the EC economies," ULB Institutional Repository 2013/10463, ULB -- Universite Libre de Bruxelles.

  78. Gourieroux, Christian & Monfort, Alain, 1993. "Simulation-based inference : A survey with special reference to panel data models," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 5-33, September.

    Cited by:

    1. Breunig, Robert & Cobb-Clark, Deborah A. & Gong, Xiaodong, 2005. "Improving the Modeling of Couples' Labour Supply," IZA Discussion Papers 1773, Institute of Labor Economics (IZA).
    2. Charlier, Erwin & Melenberg, Bertrand & van Soest, Arthur, 2000. "Estimation of a censored regression panel data model using conditional moment restrictions efficiently," Journal of Econometrics, Elsevier, vol. 95(1), pages 25-56, March.
    3. Uhlendorff, Arne, 2006. "From No Pay to Low Pay and Back Again? A Multi-State Model of Low Pay Dynamics," IZA Discussion Papers 2482, Institute of Labor Economics (IZA).
    4. Lemieux, Thomas & MacLeod, W. Bentley, 2000. "Supply side hysteresis: the case of the Canadian unemployment insurance system," Journal of Public Economics, Elsevier, vol. 78(1-2), pages 139-170, October.
    5. Thierry Kamionka & Guy Lacroix, 2018. "Homeownership, Labour Market Transitions and Earnings," CIRANO Working Papers 2018s-35, CIRANO.
    6. Massimiliano Bratti & Alfonso Miranda, 2011. "Endogenous treatment effects for count data models with endogenous participation or sample selection," Mexican Stata Users' Group Meetings 2011 05, Stata Users Group.
    7. Charlier, G.W.P., 1994. "A smoothed maximum score estimator for the binary choice panel data model with individual fixed effects and applications to labour force participation," Discussion Paper 1994-81, Tilburg University, Center for Economic Research.
    8. Cyriaque Edon & Thierry Kamionka, 2006. "Modélisation dynamique de la participation au marché du travail des femmes en couple," Working Papers 2006-04, Center for Research in Economics and Statistics.
    9. Dick van Dijk & Dennis Fok & Philip Hans Franses, 2005. "A multi-level panel STAR model for US manufacturing sectors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(6), pages 811-827.
    10. Henry W. Chappell & Paulo Guimarães & Orgül Demet Öztürk, 2011. "Confessions of an internet monopolist: demand estimation for a versioned information good," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 32(1), pages 1-15, January.
    11. Olinto, Pedro & Carter, Michael R., 2000. "Getting Institutions 'Right' For Whom: Credit Constraints And The Impact Of Property Rights On The Quantity And Composition Of Investment," Staff Papers 12645, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    12. Euwals, R.W. & van Soest, A.H.O., 1996. "Desired and Actual Labour Supply of Unmarried Men and Women in the Netherlands," Discussion Paper 1996-23, Tilburg University, Center for Economic Research.
    13. Ji-Liang Shiu & Yingyao Hu, 2010. "Identification and Estimation of Nonlinear Dynamic Panel Data Models with Unobserved Covariates," Economics Working Paper Archive 557, The Johns Hopkins University,Department of Economics.
    14. Fortin, Bernard & Jacquemet, Nicolas & Shearer, Bruce, 2010. "Labour Supply, Work Effort and Contract Choice: Theory and Evidence on Physicians," CLSSRN working papers clsrn_admin-2010-30, Vancouver School of Economics, revised 21 Oct 2010.
    15. Pradhan, M.P. & van Soest, A.H.O., 1997. "Household labor supply in urban areas of Bolivia," Other publications TiSEM dba82438-cf2e-4d92-975b-a, Tilburg University, School of Economics and Management.
    16. Patrick Fève & François Langot, 1995. "La méthode des moments généralisés et ses extensions : théorie et applications en macro-économie," Économie et Prévision, Programme National Persée, vol. 119(3), pages 139-170.
    17. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106, Elsevier.
    18. Barde, Sylvain, 2016. "Direct comparison of agent-based models of herding in financial markets," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 329-353.
    19. John V. Colias & Stella Park & Elizabeth Horn, 2023. "Optimizing B2B Product Offers with Machine Learning, Mixed Logit, and Nonlinear Programming," Papers 2308.07830, arXiv.org.
    20. Ziegler, Andreas, 2002. "Simulated Classical Tests in the Multiperiod Multinomial Probit Model," ZEW Discussion Papers 02-38, ZEW - Leibniz Centre for European Economic Research.
    21. Gong, Xiaodong & van Soest, Arthur & Villagomez, Elizabeth, 2000. "Mobility in the Urban Labor Market: A Panel Data Analysis for Mexico," IZA Discussion Papers 213, Institute of Labor Economics (IZA).
    22. Heng Z. Chen & Frank Lupi & John P. Hoehn, 1999. "An Empirical Assessment of Multinomial Probit and Logit Models for Recreation Demand," Chapters, in: Joseph A. Herriges & Catherine L. Kling (ed.), Valuing Recreation and the Environment, chapter 5, pages 141-162, Edward Elgar Publishing.
    23. Xiaodong Gong & Arthur van Soest, 2002. "Family Structure and Female Labor Supply in Mexico City," Journal of Human Resources, University of Wisconsin Press, vol. 37(1), pages 163-191.
    24. J. Miguel Villas-Boas & Russell S. Winer, 1999. "Endogeneity in Brand Choice Models," Management Science, INFORMS, vol. 45(10), pages 1324-1338, October.
    25. van Soest, A.H.O., 1994. "Youth minimum wage rates : The Dutch experience," Other publications TiSEM c5050eda-1d97-4ead-b7b1-7, Tilburg University, School of Economics and Management.
    26. Geweke, John F. & Horowitz, Joel L. & Pesaran, M. Hashem, 2006. "Econometrics: A Bird's Eye View," IZA Discussion Papers 2458, Institute of Labor Economics (IZA).
    27. Andrén, Daniela & Andrén, Thomas, 2013. "State dependence in Swedish social assistance," Working Papers 2013:7, Örebro University, School of Business.
    28. Geweke, John F. & Keane, Michael P. & Runkle, David E., 1997. "Statistical inference in the multinomial multiperiod probit model," Journal of Econometrics, Elsevier, vol. 80(1), pages 125-165, September.
    29. Holger Bonin & Rob Euwals, 2002. "Participation Behavior of East German Women after German Unification," William Davidson Institute Working Papers Series 477, William Davidson Institute at the University of Michigan.
    30. Davis, Peter, 2006. "Estimation of quantity games in the presence of indivisibilities and heterogeneous firms," Journal of Econometrics, Elsevier, vol. 134(1), pages 187-214, September.
    31. Hilary W. Hoynes & Kenneth Y. Chay & Dean Hyslop, 2004. "True State Dependence In Monthly Welfare Participation:A Nonexperimental Analysis," Working Papers 2, University of California, Davis, Department of Economics.
    32. GHYSELS, Eric & HARVEY, Andrew & RENAULT, Eric, 1995. "Stochastic Volatility," LIDAM Discussion Papers CORE 1995069, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    33. Orme, Chris, 1995. "Simulated conditional moment tests," Economics Letters, Elsevier, vol. 49(3), pages 239-245, September.
    34. Inkmann, Joachim, 1997. "Circumventing multiple integration: A comparison of GMM and SML estimators for the panel probit model," Discussion Papers, Series II 339, University of Konstanz, Collaborative Research Centre (SFB) 178 "Internationalization of the Economy".
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    6. Paruolo Paolo, 2004. "Common trends and cycles in I(2) VAR systems," Economics and Quantitative Methods qf0217tris, Department of Economics, University of Insubria.
    7. Carlos Enrique Carrasco Gutierrez & Fábio Augusto Reis Gomes, 2006. "Evidence About Mercosur’S Business Cycle," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 179, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
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    1. Guillaume Horny., 2009. "Inference in Mixed Proportional Hazard Models with K Random Effects," Working papers 248, Banque de France.
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  85. Gourieroux, C. & Monfort, A., 1989. "A General Framework for Testing a Null Hypothesis in a “Mixed” Form," Econometric Theory, Cambridge University Press, vol. 5(1), pages 63-82, April.

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    2. Dovonon, Prosper & Renault, Eric, 2011. "Testing for Common GARCH Factors," MPRA Paper 40224, University Library of Munich, Germany.
    3. Dastoor, Naorayex K., 2003. "The equality of comparable extended families of classical-type and Hausman-type statistics," Journal of Econometrics, Elsevier, vol. 117(2), pages 313-330, December.
    4. Gouriéroux, Christian & Monfort, Alain, 1997. "Modèles de comptage semi-paramétriques," L'Actualité Economique, Société Canadienne de Science Economique, vol. 73(1), pages 525-550, mars-juin.
    5. Chambers, Marcus J., 1998. "The estimation of systems of joint differential-difference equations," Journal of Econometrics, Elsevier, vol. 85(1), pages 1-31, July.
    6. Jean-Marie Dufour & Alain Trognon, 2000. "Invariant Tests Based on M-Estimators, Estimating Functions and the Generalized Method of Moments," Econometric Society World Congress 2000 Contributed Papers 1420, Econometric Society.
    7. Richard Smith, 2004. "GEL Criteria for Moment Condition Models," CeMMAP working papers CWP19/04, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Massimiliano Marcellino & Barbara Rossi, 2008. "Model Selection for Nested and Overlapping Nonlinear, Dynamic and Possibly Mis‐specified Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(s1), pages 867-893, December.
    9. Emmanuelle Clément & Christian Gourieroux & Alain Monfort, 1995. "Linear Factor Models and the Term Structure of Interest Rates," Annals of Economics and Statistics, GENES, issue 40, pages 37-65.
    10. Gourieroux, C. & Monfort, A., 2005. "The econometrics of efficient portfolios," Journal of Empirical Finance, Elsevier, vol. 12(1), pages 1-41, January.
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    12. Ramdan Dridi, 2000. "Simulated Asymptotic Least Squares Theory," STICERD - Econometrics Paper Series 396, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    13. Dridi, Ramdan, 2000. "Simulated asymptotic least squares theory," LSE Research Online Documents on Economics 6861, London School of Economics and Political Science, LSE Library.
    14. Bernd Funovits, 2020. "Identifiability and Estimation of Possibly Non-Invertible SVARMA Models: A New Parametrisation," Papers 2002.04346, arXiv.org, revised Feb 2021.
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    17. Dastoor, Naorayex, 2009. "The perceived framework of a classical statistic: Is the non-invariance of a Wald statistic much ado about null thing?," Working Papers 2009-25, University of Alberta, Department of Economics.
    18. Richard Smith, 2004. "GEL Criteria for Moment Condition Models," CeMMAP working papers 19/04, Institute for Fiscal Studies.
    19. Daniela Scidá, 2023. "Structural VAR and financial networks: A minimum distance approach to spatial modeling," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(1), pages 49-68, January.
    20. Francesco Bravo, 2005. "Blockwise empirical entropy tests for time series regressions," Journal of Time Series Analysis, Wiley Blackwell, vol. 26(2), pages 185-210, March.
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  86. Gourieroux, Christian & Monfort, Alan & Renault, Eric, 1989. "Testing for Common Roots," Econometrica, Econometric Society, vol. 57(1), pages 171-185, January.

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  87. Esmeralda Gonçalves & Christian Gourieroux, 1988. "Agrégation de processus autorégressifs d'ordre 1," Annals of Economics and Statistics, GENES, issue 12, pages 127-149.
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    1. Peaucelle, Irina, 2002. "Capital social et anthroponomie," CEPREMAP Working Papers (Couverture Orange) 0204, CEPREMAP.
    2. François Legendre, 1992. "La distribution des rendements d'échelle dans l'industrie. Une illustration à partir d'un panel de plus de 700 entreprises françaises," Revue Économique, Programme National Persée, vol. 43(1), pages 71-100.
    3. Gourieroux Christian, 1988. "Hétérogénéité/ii/etude de biais (sous l'hypothèse d'exogénéité faible)," CEPREMAP Working Papers (Couverture Orange) 8817, CEPREMAP.

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    1. Victor Ginsburgh & Luc Bauwens, 2000. "Art experts and auctions :are pre-sale estimates unbiased and fully informative," ULB Institutional Repository 2013/152099, ULB -- Universite Libre de Bruxelles.
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    4. D'Haultfoeuille, Xavier & Gaillac, Christophe & Maurel, Arnaud, 2021. "Rationalizing Rational Expectations: Characterizations and Tests," TSE Working Papers 21-1211, Toulouse School of Economics (TSE).
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    7. Dr Silvia Lui & Dr Martin Weale & Dr. James Mitchell, 2009. "The utility of expectational data: Firm-level evidence using matched qualitative-quantitative UK surveys," National Institute of Economic and Social Research (NIESR) Discussion Papers 343, National Institute of Economic and Social Research.
    8. Silva Lopes, Artur, 1994. "A "hipótese das expectativas racionais": teoria e realidade (uma visita guiada à literatura até 1992) [The "rational expectations hypothesis": theory and reality (a guided tour ," MPRA Paper 9699, University Library of Munich, Germany, revised 23 Jul 2008.
    9. Aleksander Jakimowicz & Lech Nieżurawski, 2018. "Book Review: Directions of Development of Public Administration in Poland," Journal of Entrepreneurship, Management and Innovation, Fundacja Upowszechniająca Wiedzę i Naukę "Cognitione", vol. 14(3), pages 159-168.
    10. Nolte, Ingmar & Nolte, Sandra & Pohlmeier, Winfried, 2019. "What determines forecasters’ forecasting errors?," International Journal of Forecasting, Elsevier, vol. 35(1), pages 11-24.
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    1. Jones, John Bailey, 2002. "Has fiscal policy helped stabilize the postwar U.S. economy?," Journal of Monetary Economics, Elsevier, vol. 49(4), pages 709-746, May.
    2. Geweke, John F. & Horowitz, Joel L. & Pesaran, M. Hashem, 2006. "Econometrics: A Bird's Eye View," IZA Discussion Papers 2458, Institute of Labor Economics (IZA).
    3. John Bailey Jones & Sohini Sahu, 2017. "Transition accounting for India in a multi-sector dynamic general equilibrium model," Economic Change and Restructuring, Springer, vol. 50(4), pages 299-339, November.
    4. Beatriz Armendariz & Bert D'Espallier & Marek Hudon & Ariane Szafarz, 2011. "Subsidy Uncertainty and Microfinance Mission Drift," Working Papers CEB 11-014, ULB -- Universite Libre de Bruxelles.
    5. Majid M. Al-Sadoon, 2016. "The Linear Systems Approach to Linear Rational Expectations Models," Working Papers 875, Barcelona School of Economics.
    6. Ariane Szafarz, 2009. "How Did Financial-Crisis-Based Criticisms of Market Efficiency Get It So Wrong?," Working Papers CEB 09-048.RS, ULB -- Universite Libre de Bruxelles.
    7. Atıcı, Ferhan M. & Ekiz, Funda & Lebedinsky, Alex, 2014. "Cagan type rational expectation model on complex discrete time domains," European Journal of Operational Research, Elsevier, vol. 237(1), pages 148-151.
    8. Bernd Funovits, 2014. "Implications of Stochastic Singularity in Linear Multivariate Rational Expectations Models," Vienna Economics Papers vie1405, University of Vienna, Department of Economics.
    9. Renato Flôres & Ariane Szafarz, 1992. "Minimal Identification of Dynamic Rational Expectations Systems," ULB Institutional Repository 2013/691, ULB -- Universite Libre de Bruxelles.
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    12. Majid M. Al-Sadoon, 2020. "The Spectral Approach to Linear Rational Expectations Models," Papers 2007.13804, arXiv.org, revised Jun 2023.

  95. Gourieroux, C. & Monfort, A. & Trognon, A., 1985. "A General Approach to Serial Correlation," Econometric Theory, Cambridge University Press, vol. 1(3), pages 315-340, December.
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    1. Skeels, Christopher L. & Taylor, Larry W., 1995. "On a simultaneous equations pre-test estimator," Journal of Econometrics, Elsevier, vol. 68(2), pages 269-286, August.
    2. Judith Anne Clarke, 2017. "Model Averaging OLS and 2SLS: An Application of the WALS Procedure," Econometrics Working Papers 1701, Department of Economics, University of Victoria.

  98. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Theory," Econometrica, Econometric Society, vol. 52(3), pages 681-700, May.
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    8. CHESHER, Andrew & DHAENE, Geert & GOURIEROUX, Christian & SCAILLET, Olivier, 1999. "Bartlett identities tests," LIDAM Discussion Papers CORE 1999039, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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    1. Ariane Szafarz, 2015. "Market Efficiency and Crises: Don’t Throw the Baby out with the Bathwater," ULB Institutional Repository 2013/239874, ULB -- Universite Libre de Bruxelles.
    2. Minford, Patrick & Srinivasan, Naveen, 2012. "Can the learnability criterion ensure determinacy in New Keynesian Models?," CEPR Discussion Papers 9039, C.E.P.R. Discussion Papers.
    3. Christian Gouriéroux & Joann Jasiak & Alain Monfort, 2016. "Stationary Bubble Equilibria in Rational Expectation Models," Working Papers 2016-31, Center for Research in Economics and Statistics.
    4. Roland Gillet & Ariane Szafarz, 2004. "Marchés financiers et anticipations rationnelles," ULB Institutional Repository 2013/142648, ULB -- Universite Libre de Bruxelles.
    5. Roger Farmer & Pawel Zabczyk, 2018. "The Household Fallacy," NBER Working Papers 24393, National Bureau of Economic Research, Inc.
    6. Ariane Szafarz, 2012. "Financial crises in efficient markets: How fundamentalists fuel volatility," ULB Institutional Repository 2013/149191, ULB -- Universite Libre de Bruxelles.
    7. George W. Evans & Bruce McGough, 2002. "Stable Sunspot Solutions in Models with Predetermined Variables," University of Oregon Economics Department Working Papers 2002-16, University of Oregon Economics Department, revised 29 May 2003.
    8. Broze, Laurence & Gourieroux Christian & Szafarz A, 1986. "Reduction and identification of simultaneous equations models with rational expectations," CEPREMAP Working Papers (Couverture Orange) 8601, CEPREMAP.
    9. Carrillo, Julio A. & Fève, Patrick, 2004. "Some Perils of Policy Rule Regression," IDEI Working Papers 301, Institut d'Économie Industrielle (IDEI), Toulouse.
    10. Atıcı, Ferhan M. & Ekiz, Funda & Lebedinsky, Alex, 2014. "Cagan type rational expectation model on complex discrete time domains," European Journal of Operational Research, Elsevier, vol. 237(1), pages 148-151.
    11. Erwin W. Heri, 1986. "Irrationales rational gesehen: Eine Übersicht über die Theorie der "Bubbles"," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 122(II), pages 163-186, June.
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    13. Christian Walter, 2004. "Volatilité boursière excessive : irrationalité des comportements ou clivage des esprits ?," Revue d'Économie Financière, Programme National Persée, vol. 74(1), pages 85-104.
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    Cited by:

    1. Susan Athey & Scott Stern, 1998. "An Empirical Framework for Testing Theories About Complimentarity in Organizational Design," NBER Working Papers 6600, National Bureau of Economic Research, Inc.
    2. Siem Jan Koopman & Neil Shephard, 2002. "Testing the Assumptions Behind the Use of Importance Sampling," Economics Papers 2002-W17, Economics Group, Nuffield College, University of Oxford.
    3. Koopman, Siem Jan & Shephard, Neil & Creal, Drew, 2009. "Testing the assumptions behind importance sampling," Journal of Econometrics, Elsevier, vol. 149(1), pages 2-11, April.
    4. Athey, Susan. & Stern, Scott, 1969-, 1998. "An empirical framework for testing theories about complementarity in orgaziational design," Working papers WP 4022-98., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    5. Alberto HOLLY & Lucien GARDIOL, 1999. "A Score Test for Individual Heteroscedasticity in a One-way Error Components Model," Cahiers de Recherches Economiques du Département d'économie 9915, Université de Lausanne, Faculté des HEC, Département d’économie.
    6. Dobbelaere, Sabien & Wiersma, Quint, 2020. "The Impact of Trade Liberalization on Firms' Product and Labor Market Power," IZA Discussion Papers 12951, Institute of Labor Economics (IZA).
    7. Anthony W. Hughes, 2000. "Testing for Non-Normality in the Presence of One-Sided Slope Parameters," School of Economics and Public Policy Working Papers 2000-01, University of Adelaide, School of Economics and Public Policy.
    8. Quint Wiersma, 2019. "The impact of WTO accession on Chinese firms' product and labor market power," Tinbergen Institute Discussion Papers 19-037/V, Tinbergen Institute.

  105. Christian Gourieroux & Alain Monfort, 1981. "On the Problem of Missing Data in Linear Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 48(4), pages 579-586.

    Cited by:

    1. Qian, Hang, 2012. "Essays on statistical inference with imperfectly observed data," ISU General Staff Papers 201201010800003618, Iowa State University, Department of Economics.
    2. Pizer, William & Imbens, Guido, 2000. "The Analysis of Randomized Experiments with Missing Data," RFF Working Paper Series dp-00-19, Resources for the Future.
    3. Jensen, Helen H. & Manrique, Justo, 1998. "Demand for Food Commodities by Income Groups in Indonesia," Staff General Research Papers Archive 1016, Iowa State University, Department of Economics.
    4. Maria Raikou & Alistair McGuire, 2006. "Estimating Costs for Economic Evaluation," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, chapter 40, Edward Elgar Publishing.
    5. Lee, Jonq-Ying, 1986. "Imputed Missing Incomes And Marginal Propensity To Consume Food," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 11(2), pages 1-8, December.
    6. Rose, Andrew, 2002. "Do We Really Know that the WTO Increases Trade?," CEPR Discussion Papers 3538, C.E.P.R. Discussion Papers.
    7. Mervyn A. King & Jonathan I. Leape, 1984. "Wealth and Portfolio Composition: Theory and Evidence," NBER Working Papers 1468, National Bureau of Economic Research, Inc.
    8. Hans Genberg & Laurent Pauwels, 2003. "Inlation in Hong Kong, SAR- In Search of a Transmission Mechanism," Working Papers 012003, Hong Kong Institute for Monetary Research.
    9. Denis Conniffe & Donal O’Neill, 2008. "An Efficient Estimator for Dealing with Missing Data on Explanatory Variables in a Probit Choice Model," Economics Department Working Paper Series n1960908.pdf, Department of Economics, National University of Ireland - Maynooth.
    10. Nijman, T.E. & Palm, F.C., 1984. "Missing observations in the dynamic regression model," Other publications TiSEM 4d689d7c-4d89-4ab6-b8c3-f, Tilburg University, School of Economics and Management.
    11. Qian, Hang, 2010. "Linear regression using both temporally aggregated and temporally disaggregated data: Revisited," MPRA Paper 32686, University Library of Munich, Germany.
    12. Laitila, Thomas & Wang, Lisha, 2015. "A Two-Step Estimator for Missing Values in Probit Model Covariates," Working Papers 2015:3, Örebro University, School of Business.
    13. Cihat Günden & Abdulbaki Bilgic & Bülent Miran & Bahri Karli, 2011. "A censored system of demand analysis to unpacked and prepackaged milk consumption in Turkey," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(6), pages 1273-1290, October.
    14. Michael H. Schill & Ioan Voicu & Jonathan Miller, 2007. "The Condominium versus Cooperative Puzzle: An Empirical Analysis of Housing in New York City," The Journal of Legal Studies, University of Chicago Press, vol. 36(2), pages 275-324, June.
    15. Chris Muris, 2020. "Efficient GMM Estimation with Incomplete Data," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 518-530, July.
    16. Vasiliki Fourmouzi & Margarita Genius & Peter Midmore, 2012. "The Demand for Organic and Conventional Produce in London, UK: A System Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 63(3), pages 677-693, September.
    17. Abdulbaki Bilgic & Wojciech Florkowski, 2009. "The impact of license regulation on the number of recreation trips: is it worth considering?," Journal of Regulatory Economics, Springer, vol. 35(1), pages 45-69, February.
    18. Conniffe, Denis & O'Neill, Donal, 2009. "Efficient Probit Estimation with Partially Missing Covariates," IZA Discussion Papers 4081, Institute of Labor Economics (IZA).
    19. X. M. Gao & Timothy Richards & Albert Kagan, 1997. "A latent variable model of consumer taste determination and taste change for complex carbohydrates," Applied Economics, Taylor & Francis Journals, vol. 29(12), pages 1643-1654.
    20. King, Mervyn A. & Leape, Jonathan I., 1998. "Wealth and portfolio composition: Theory and evidence," Journal of Public Economics, Elsevier, vol. 69(2), pages 155-193, June.
    21. Abdulbaki Bilgic & Wojciech Florkowski & Cuma Akbay, 2010. "Demand for cigarettes in Turkey: an application of count data models," Empirical Economics, Springer, vol. 39(3), pages 733-765, December.
    22. Heien, Dale & Pompelli, Greg, 1988. "The Demand For Beef Products: Cross-Section Estimation Of Demographic And Economic Effects," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(1), pages 1-8, July.
    23. Bilgic, Abdulbaki & Eren, Gunes & Florkowski, Wojciech J., 2008. "Willingness to Pay for Potable Water in the Southeastern Turkey: An Application of both Stated and Revealed Preferences Valuation Method," 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas 6755, Southern Agricultural Economics Association.
    24. Tybout, James R., 1990. "Making noisy data sing : a micro approach to measuring industrial efficiency," Policy Research Working Paper Series 327, The World Bank.

  106. Gourieroux, Christian & Monfort, Alain, 1981. "Asymptotic properties of the maximum likelihood estimator in dichotomous logit models," Journal of Econometrics, Elsevier, vol. 17(1), pages 83-97, September.

    Cited by:

    1. Cizek, P., 2007. "General Trimmed Estimation : Robust Approach to Nonlinear and Limited Dependent Variable Models (Replaces DP 2007-1)," Discussion Paper 2007-65, Tilburg University, Center for Economic Research.
    2. José R. Berrendero & Beatriz Bueno-Larraz & Antonio Cuevas, 2023. "On functional logistic regression: some conceptual issues," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 32(1), pages 321-349, March.
    3. Anatolyev Stanislav, 2009. "Multi-Market Direction-of-Change Modeling Using Dependence Ratios," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(1), pages 1-24, March.
    4. Cheng Hsiao, 1991. "Identification and Estimation of Dichotomous Latent Variables Models Using Panel Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(4), pages 717-731.
    5. Hsiao, Ch., 1989. "Identification and Estimation of Dichotomous Latent Variables Models using Panel Data," Other publications TiSEM 9ec86b4c-4e68-4223-aca4-5, Tilburg University, School of Economics and Management.
    6. Qian Chen & David E. Giles, 2009. "Finite-Sample Properties of the Maximum Likelihood Estimator for the Binary Logit Model With Random Covariates," Econometrics Working Papers 0906, Department of Economics, University of Victoria.
    7. Hadjicostas, Petros, 2003. "Consistency of logistic regression coefficient estimates calculated from a training sample," Statistics & Probability Letters, Elsevier, vol. 62(3), pages 293-303, April.
    8. Chihwa Kao, 2001. "Asymptotic Inference in Censored Regression MOdels Revisited," Center for Policy Research Working Papers 36, Center for Policy Research, Maxwell School, Syracuse University.

  107. Gourieroux, C & Laffont, J J & Monfort, A, 1980. "Coherency Conditions in Simultaneous Linear Equation Models with Endogenous Switching Regimes," Econometrica, Econometric Society, vol. 48(3), pages 675-695, April.
    See citations under working paper version above.
  108. Gourieroux, Christian & Monfort, Alain, 1980. "Sufficient Linear Structures: Econometric Applications," Econometrica, Econometric Society, vol. 48(5), pages 1083-1097, July.

    Cited by:

    1. Alan J. Rogers, 2013. "Concentration Ellipsoids, Their Planes of Support, and the Linear Regression Model," Econometric Reviews, Taylor & Francis Journals, vol. 32(2), pages 220-243, February.
    2. Renault, Éric & Rochet, Jean-Charles, 1997. "Les techniques quantitatives de la gestion de portefeuille," L'Actualité Economique, Société Canadienne de Science Economique, vol. 73(1), pages 265-310, mars-juin.
    3. Qian, Hailong & Schmidt, Peter, 2003. "Partial GLS regression," Economics Letters, Elsevier, vol. 79(3), pages 385-392, June.
    4. Hailong Qian & Heather L. Bednarek, 2015. "Partial efficient estimation of SUR models," Economics Bulletin, AccessEcon, vol. 35(1), pages 338-348.
    5. Lu, Cuicui & Schmidt, Peter, 2012. "Conditions for the numerical equality of the OLS, GLS and Amemiya–Cragg estimators," Economics Letters, Elsevier, vol. 116(3), pages 538-540.
    6. Changli Lu & Yuqin Sun & Yongge Tian, 2013. "On relations between weighted least-squares estimators of parametric functions under a general partitioned linear model and its small models," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 76(5), pages 707-722, July.
    7. MICHAEL McALEER, 1992. "Efficient Estimation: The Rao‐Zyskind Condition, Kruskal's Theorem and Ordinary Least Squares," The Economic Record, The Economic Society of Australia, vol. 68(1), pages 65-72, March.
    8. Fisher, Gordon, 2004. "Une condition d’invariance du modèle de régression à coefficients aléatoires," L'Actualité Economique, Société Canadienne de Science Economique, vol. 80(2), pages 405-419, Juin-Sept.
    9. Radosław Kala & Simo Puntanen & Yongge Tian, 2017. "Some notes on linear sufficiency," Statistical Papers, Springer, vol. 58(1), pages 1-17, March.
    10. Heather L. Bednarek & Hailong Qian, 2016. "The optimality of non-optimal GMM estimation of parameters of interest and the partial asymptotic efficiency of 2SLS estimation," Economics Bulletin, AccessEcon, vol. 36(3), pages 1636-1649.

  109. Gourieroux, C & Laffont, J-J & Monfort, A, 1980. "Disequilibrium Econometrics in Simultaneous Equations Systems," Econometrica, Econometric Society, vol. 48(1), pages 75-96, January.

    Cited by:

    1. Antoine Mandel & Vipin Veetil, 2020. "The Economic Cost of COVID Lockdowns: An Out-of-Equilibrium Analysis," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03043350, HAL.
    2. Holmberg, Ulf, 2012. "Error Corrected Disequilibrium," Umeå Economic Studies 837, Umeå University, Department of Economics.
    3. Karmelavičius, Jaunius & Mikaliūnaitė-Jouvanceau, Ieva & Petrokaitė, Austėja Petrokaitė, 2022. "Housing and credit misalignments in a two-market disequilibrium framework," ESRB Working Paper Series 135, European Systemic Risk Board.
    4. Chihwa Kao & Lung-fei Lee & Mark M. Pitt, 2000. "Simulated Maximum Likelihood Estimation of the Linear Expenditure System with Binding Non-Negativity Constraints," CEMA Working Papers 50, China Economics and Management Academy, Central University of Finance and Economics, revised Apr 2001.
    5. Plassard, Romain, 2022. "Diagnosing unemployment: the dual project of the ENSAE's band," MPRA Paper 113584, University Library of Munich, Germany.
    6. Eric Maskin, 2004. "Jean-Jacques Laffont: A Look Back," Journal of the European Economic Association, MIT Press, vol. 2(5), pages 913-923, September.
    7. Richard Blundell & Frank Windmeijer, 2000. "Identifying demand for health resources using waiting times information," Health Economics, John Wiley & Sons, Ltd., vol. 9(6), pages 465-474, September.
    8. Bergeot, J.;, 2022. "Care for Elderly Parents: Do Children Cooperate?," Health, Econometrics and Data Group (HEDG) Working Papers 22/13, HEDG, c/o Department of Economics, University of York.
    9. Riboud, Chris & Rausser, Gordon C., 1981. "Price supports and demand in commodity market modeling," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt1n53k4xs, Department of Agricultural & Resource Economics, UC Berkeley.
    10. Seppo Honkapohja & Takatoshi Ito, 1979. "A Stochastic Approach to Disequilibrium Macroeconomics," NBER Technical Working Papers 0001, National Bureau of Economic Research, Inc.
    11. Dominique Bureau & Didier Miqueu & Michel Norotte, 1984. "La maquette Désir," Économie et Prévision, Programme National Persée, vol. 65(4), pages 45-63.
    12. Arthur Lewbel, 2018. "The Identification Zoo - Meanings of Identification in Econometrics," Boston College Working Papers in Economics 957, Boston College Department of Economics, revised 14 Dec 2019.
    13. Eromenko, Igor & Lisenkova, Katerina, 2006. "Impact of joining the WTO on Ukrainian ferrous metallurgy: subsidies vs. antidumping, is there really a trade-off?," MPRA Paper 67477, University Library of Munich, Germany.
    14. Jerry R. Green & Jean-Jacques Laffont, 1980. "Disequilibrium Dynamics with Inventories and Anticipatory Price-Setting:Some Impirical Results," NBER Working Papers 0453, National Bureau of Economic Research, Inc.

  110. Gourieroux, Christian & Monfort, Alain, 1979. "On the characterization of a joint probability distribution by conditional distributions," Journal of Econometrics, Elsevier, vol. 10(1), pages 115-118, April.

    Cited by:

    1. Arnold, Barry C. & Castillo, Enrique & Sarabia, José María, 1996. "Specification of distributions by combinations of marginal and conditional distributions," Statistics & Probability Letters, Elsevier, vol. 26(2), pages 153-157, February.
    2. Barry C. Arnold & B. G. Manjunath, 2022. "All Conditional Distributions for Y Given X that are Compatible with a Given Conditional Distribution for X Given Y," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(2), pages 419-426, August.
    3. Shinya Sugawara & Yasuhiro Omori, 2013. "An Econometric Analysis of Insurance Markets with Separate Identification for Moral Hazard and Selection," CIRJE F-Series CIRJE-F-882, CIRJE, Faculty of Economics, University of Tokyo.
    4. Shinya Sugawara & Yasuhiro Omori, 2017. "An Econometric Analysis of Insurance Markets with Separate Identification for Moral Hazard and Selection Problems," Computational Economics, Springer;Society for Computational Economics, vol. 50(3), pages 473-502, October.

Chapters

  1. Christian Gourieroux & Joann Jasiak, 2007. "Introduction to The Econometrics of Individual Risk: Credit, Insurance, and Marketing," Introductory Chapters, in: The Econometrics of Individual Risk: Credit, Insurance, and Marketing, Princeton University Press.

    Cited by:

    1. José Fernando Moreno Gutiérrez & Luis Fernando Melo Velandia, 2011. "Pronóstico de incumplimientos de pago mediante máquinas de vectores de soporte: una aproximación inicial a la gestión del riesgo de crédito," Borradores de Economia 677, Banco de la Republica de Colombia.
    2. Diana Barro & Luca Barzanti & Marco Corazza & Martina Nardon, 2023. "Machine Learning and Fundraising: Applications of Artificial Neural Networks," Working Papers 2023: 33, Department of Economics, University of Venice "Ca' Foscari".
    3. Ana Preda & Mirela Monea & Lorand Bogdanffy, 2016. "Simulation Insured Results by Purchasing a Life Insurance," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 16(2), pages 109-116.
    4. Valdez, Emiliano A. & Vadiveloo, Jeyaraj & Dias, Ushani, 2014. "Life insurance policy termination and survivorship," Insurance: Mathematics and Economics, Elsevier, vol. 58(C), pages 138-149.
    5. Gourieroux, C. & Monfort, A., 2008. "Quadratic stochastic intensity and prospective mortality tables," Insurance: Mathematics and Economics, Elsevier, vol. 43(1), pages 174-184, August.
    6. Michel DIETSCH & Olivier GONZALEZ, 2020. "Do late customer payments impact companies’ probability of default? [Les retards de paiement des clients impactent-ils la probabilité de défaillance des entreprises ?]," Bulletin de la Banque de France, Banque de France, issue 227.
    7. Shi, Peng & Valdez, Emiliano A., 2011. "A copula approach to test asymmetric information with applications to predictive modeling," Insurance: Mathematics and Economics, Elsevier, vol. 49(2), pages 226-239, September.
    8. Ana Preda & Gheorghe Matei & Lorand Bogdanffy, 2016. "The Prognosis of the Main Indicators for Sizing the Global Insurance Market," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 16(2), pages 101-108.
    9. José Fernando Moreno Gutiérrez & Luis Fernando Melo Velandia, 2011. "Pronóstico de incumplimientos de pago mediante máquinas de vectores de soporte: una aproximación inicial a la gestión del riesgo de crédito," Borradores de Economia 9079, Banco de la Republica.
    10. Bąk Sylwia, 2020. "The problem of uncertainty and risk as a subject of research of the Nobel Prize Laureates in Economic Sciences," Journal of Economics and Management, Sciendo, vol. 39(1), pages 21-40, March.

  2. Gourieroux, C. & Monfort, A., 1986. "Testing non-nested hypotheses," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 44, pages 2583-2637, Elsevier.

    Cited by:

    1. Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez, 2001. "Comparing dynamic equilibrium economies to data," FRB Atlanta Working Paper 2001-23, Federal Reserve Bank of Atlanta.
    2. Dhaene, Geert & Scaillet, Olivier, 2000. "Reversed Score and Likelihood Ratio Tests," LIDAM Discussion Papers IRES 2000026, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    3. Sangjoon Kim & Neil Shephard & Siddhartha Chib, 1998. "Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 361-393.
    4. Otsu, Taisuke & Seo, Myung Hwan & Whang, Yoon-Jae, 2012. "Testing for non-nested conditional moment restrictions using unconditional empirical likelihood," Journal of Econometrics, Elsevier, vol. 167(2), pages 370-382.
    5. CHESHER, Andrew & DHAENE, Geert & GOURIEROUX, Christian & SCAILLET, Olivier, 1999. "Bartlett identities tests," LIDAM Discussion Papers CORE 1999039, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. J M C Santos Silva, 1996. "A Score Test for Non-nested Hypotheses with Applications to Discrete Data Models," Discussion Papers 96-28 ISSN 1350-6722, University College London, Department of Economics.
    7. Li, Tong, 2009. "Simulation based selection of competing structural econometric models," Journal of Econometrics, Elsevier, vol. 148(2), pages 114-123, February.
    8. Choi, Hwan-sik & Kiefer, Nicholas M., 2006. "Robust Model Selection in Dynamic Models with an Application to Comparing Predictive Accuracy," Working Papers 06-09, Cornell University, Center for Analytic Economics.

Books

  1. Christian Gourieroux & Joann Jasiak, 2015. "The Econometrics of Individual Risk: Credit, Insurance, and Marketing," Economics Books, Princeton University Press, edition 1, number 8433.

    Cited by:

    1. Peng Shi & Glenn M. Fung & Daniel Dickinson, 2022. "Assessing hail risk for property insurers with a dependent marked point process," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 302-328, January.
    2. Joan Jasiak & D. Feng & C. Gourieroux, 2006. "The Ordered Qualitative Model For Credit Rating Transitions," Working Papers 2006_2, York University, Department of Economics.

  2. Gagliardini,Patrick & Gouriéroux,Christian, 2014. "Granularity Theory with Applications to Finance and Insurance," Cambridge Books, Cambridge University Press, number 9781107662889.
    See citations under working paper version above.
  3. Gourieroux,Christian, 2000. "Econometrics of Qualitative Dependent Variables," Cambridge Books, Cambridge University Press, number 9780521589857.

    Cited by:

    1. Cilasun, Seyit Mumin & Acar, Elif Oznur & Gunalp, Burak, 2015. "The Effects of Labor Market Reforms on the Labor Market Dynamics in Turkey," MPRA Paper 64767, University Library of Munich, Germany.
    2. Adolfo Barajas & Enrique López & Hugo Oliveros, 2001. "¿Por qué en Colombia el Crédito al Sector Privado es tan Reducido," Borradores de Economia 185, Banco de la Republica de Colombia.
    3. Bowker, James Michael & Starbuck, C. Meghan & English, Donald B.K. & Bergstrom, John C. & Rosenberger, Randall S. & McCollum, Daniel W., 2009. "Estimating the Net Economic Value of National Forest Recreation: An Application of the National Visitor Use Monitoring Database," Faculty Series 59603, University of Georgia, Department of Agricultural and Applied Economics.
    4. Rowe, Francisco/F & Aroca, Patricio/P, 2008. "Eficiencia de la migración interregional en Chile para ajustar el mercado laboral [Interregional migration efficiency in adjusting regional labour markets in Chile]," MPRA Paper 36222, University Library of Munich, Germany.
    5. Ramona Mariana CALINICA & Daniel CALINICA, 2012. "Identification, Analysis, Modeling and Prediction of Time Series Characterizing the Indicators of Asset Structure in the Credit Institutions Operating in Romania," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 2, pages 89-96.
    6. Massimiliano Bratti & Alfonso Miranda, 2011. "Endogenous treatment effects for count data models with endogenous participation or sample selection," Mexican Stata Users' Group Meetings 2011 05, Stata Users Group.
    7. Baird, Matthew & Daugherty, Lindsay & Kumar, Krishna B., 2019. "Improving Estimation of Labor Market Disequilibrium Using Shortage Indicators, with an Application to the Market for Anesthesiologists," IZA Discussion Papers 12129, Institute of Labor Economics (IZA).
    8. Worku, Gebeyehu, 2006. "Is the Ethiopian Leather industry on the right track?: an Empirical investigation," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 10(2), pages 103-103, April.
    9. Matthew Baird & Lindsay Daugherty & Krishna Kumar, 2017. "Improving Estimation of Labor Market Disequilibrium through Inclusion of Shortage Indicators," CINCH Working Paper Series 1701, Universitaet Duisburg-Essen, Competent in Competition and Health.
    10. Barros, Henrique M., 2021. "Neither at the cutting edge nor in a patent-friendly environment: Appropriating the returns from innovation in a less developed economy," Research Policy, Elsevier, vol. 50(1).
    11. Albert Esteve & Coro Chasco & Antonio López-Gay, 2022. "Modeling Local Variations in Intermarriage," Mathematics, MDPI, vol. 10(7), pages 1-18, March.
    12. Peter Christoffersen & Denis Pelletier, 2003. "Backtesting Value-at-Risk: A Duration-Based Approach," CIRANO Working Papers 2003s-05, CIRANO.
    13. Stephane Lhuillery, 2006. "Voluntary technological disclosure as an efficient knowledge management device: An empirical study," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 15(4-5), pages 465-491.
    14. Oskam, Arie J. & Goncharova, Natalia V. & Verstegen, Jos A.A.M., 2009. "The decision to invest and the investment level: An application to Dutch glasshouse horticulture firms," 2009 Conference, August 16-22, 2009, Beijing, China 51574, International Association of Agricultural Economists.
    15. Aroca Gonzalez, Patricio & Maloney, William F., 2005. "Migration, trade, and foreign investment in Mexico," Policy Research Working Paper Series 3601, The World Bank.
    16. Cristina COCULESCU & Aura-Marilena DIN, 2014. "Possibilities Of Quantitative Study Of Some Qualitative Processes In Economy," Romanian Economic Business Review, Romanian-American University, vol. 9(4), pages 7-18, december.
    17. Ivan Faiella & Alessandro Mistretta, 2020. "Energy costs and competitiveness in Europe," Temi di discussione (Economic working papers) 1259, Bank of Italy, Economic Research and International Relations Area.
    18. Campus, Daniela, 2017. "Gender differentials in agricultural productivity: an empirical evidence from Uganda," 2017 Sixth AIEAA Conference, June 15-16, Piacenza, Italy 261259, Italian Association of Agricultural and Applied Economics (AIEAA).
    19. Gwatidzo, Tendai & Ojah, Kalu, 2014. "Firms’ debt choice in Africa: Are institutional infrastructure and non-traditional determinants important?," International Review of Financial Analysis, Elsevier, vol. 31(C), pages 152-166.
    20. Huettel, Silke & Jongeneel, Roelof A., 2009. "Impact of the EU Milk Quota on Structural Change in the Dairy Sectors of Germany and The Netherlands," 2009 Conference, August 16-22, 2009, Beijing, China 50943, International Association of Agricultural Economists.
    21. Bjornsen, Marte, 2002. "Probabilistic modelling of the joint labour decisions of husband and wife in farm households," ERSA conference papers ersa02p513, European Regional Science Association.
    22. Bjornsen, Hild-Marte, 2002. "Probabilistic Modelling of the Joint Labour Decisions of Husband and Wife in Farm Households," Workshop on the Farm Household-Firm Unit: Its Importance in Agriculture and Implications for Statistics, April 12-13,2002, Wye Campus, Imperial College 15717, International Agricultural Policy Reform and Adjustment Project (IAPRAP).
    23. Defrancesco, Edi, 2002. "The Beginning Of Organic Fish Farming In Italy," Working Papers 14367, University of Minnesota, Center for International Food and Agricultural Policy.
    24. Magdalena Olczyk & Marta Ewa Kuc-Czarnecka, 2021. "Determinants of COVID-19 Impact on the Private Sector: A Multi-Country Analysis Based on Survey Data," Energies, MDPI, vol. 14(14), pages 1-17, July.
    25. Ramalho, Esmeralda A. & Ramalho, Joaquim J.S., 2010. "Is neglected heterogeneity really an issue in binary and fractional regression models? A simulation exercise for logit, probit and loglog models," Computational Statistics & Data Analysis, Elsevier, vol. 54(4), pages 987-1001, April.
    26. Zhao, Shangwei & Zhou, Jianhong & Yang, Guangren, 2019. "Averaging estimators for discrete choice by M-fold cross-validation," Economics Letters, Elsevier, vol. 174(C), pages 65-69.
    27. Kraft, Kornelius & Czarnitzki, Dirk, 2001. "Firm leadership and innovative performance: evidence from seven EU Countries," ZEW Discussion Papers 01-35, ZEW - Leibniz Centre for European Economic Research.
    28. Arturo Harker & Andrés Molano & Juan-Camilo Cristancho, 2017. "Ecological Factors Associated to Social and Emotional Skill Development: Chronic exposure to violence in the context of the Colombian Civil Conflict," Documentos de trabajo 17649, Escuela de Gobierno - Universidad de los Andes.
    29. J.S. Cramer, 2005. "Omitted Variables and Misspecified Disturbances in the Logit Model," Tinbergen Institute Discussion Papers 05-084/4, Tinbergen Institute.
    30. Bowker, James Michael & English, Donald B.K. & Bergstrom, John C. & Starbuck, C. Meghan, 2005. "Valuing National Forest Recreation Access: Using a Stratified On-Site Sample to Generate Values Across Activities for a Nationally Pooled Sample," 2005 Annual meeting, July 24-27, Providence, RI 19506, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    31. Azeem, Muhammad Masood & Baker, Derek & Villano, Renato A. & Mounter, Stuart & Griffith, Garry, 2018. "Food shoppers’ share of wallet: A small city case in a changing competitive environment," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 119-130.
    32. Anna Kaliciak & Radoslaw Kurach & Walid Merouani, 2016. "Who is Eager to Save for Retirement – the Cross-Country Evidence," LWS Working papers 23, LIS Cross-National Data Center in Luxembourg.
    33. Barros, Henrique M., 2008. "The interaction between patents and other appropriability mechanisms: firm-level evidence from UK manufacturing," Insper Working Papers wpe_105, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    34. Reize, Frank, 2001. "FIML estimation of a bivariate probit selection rule: an application on firm growth and subsidisation," ZEW Discussion Papers 01-13, ZEW - Leibniz Centre for European Economic Research.
    35. Ramon Antonio, Rosales Alvarez & Jorge Andres, Perdomo Calvo & Carlos Andres, Morales Torrado & Jaime Alejandro, Urrego Mondragon, 2009. "Fundamentos de econometría intermedia: Teoría y aplicaciones [Intermediate economics: Theory and applications]," MPRA Paper 37183, University Library of Munich, Germany.
    36. Tansel, Aysit & Acar, Elif Öznur, 2012. "Labor Mobility across the Formal/Informal Divide in Turkey: Evidence from Individual Level Data," IZA Discussion Papers 6271, Institute of Labor Economics (IZA).
    37. Matthew D. Baird & Lindsay Daugherty & Krishna B. Kumar, 2017. "Improving Estimation of Labor Market Disequilibrium Through Inclusion of Shortage Indicators," Working Papers WR-1175, RAND Corporation.
    38. Selahattin GURIS & Irem SACAKLI SACILDI & Elif GUNEREN GENC, 2015. "Determining the Effects of Factors on FDI in Global Crisis Period," International Journal of Economics and Financial Issues, Econjournals, vol. 5(1), pages 1-10.
    39. Christophe HURLIN & Sessi TOKPAVI, 2006. "Backtesting VaR Accuracy: A Simple and Powerful Test," LEO Working Papers / DR LEO 268, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    40. Aschhoff, Birgit, 2009. "Who Gets the Money? The Dynamics of R&D Project Subsidies in Germany," ZEW Discussion Papers 08-018 [rev.], ZEW - Leibniz Centre for European Economic Research.
    41. Coro Chasco & Patricio Aroca & Luc Anselin, 2019. "Probit Models for Grouped-data Migration Flows: A TheoreticalNote," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 42(84), pages 1-8.
    42. Elena-Ivona DUMITRESCU, 2011. "Backesting Value-at-Risk: From DQ (Dynamic Quantile) to DB (Dynamic Binary) Tests," LEO Working Papers / DR LEO 262, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    43. Fabio Trojani & Francesco Audrino, 2005. "Accurate Yield Curve Scenarios Generation using Functional Gradient Descent," Computing in Economics and Finance 2005 14, Society for Computational Economics.
    44. Alan Collins & Richard I. D. Harris, 2005. "The Impact Of Foreign Ownership And Efficiency On Pollution Abatement Expenditure By Chemical Plants: Some Uk Evidence," Scottish Journal of Political Economy, Scottish Economic Society, vol. 52(5), pages 747-768, November.
    45. V.V. Davnis & V.I. Tinyakova & A.O. Blinov & Yu.V. Volodin, 2019. "Combined Modeling of Projected Evaluation of the Regional Socio-economic Development," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(Special 1), pages 348-354.
    46. Rondinelli, Concetta & Aassve, Arnstein & C. Billari, Francesco, 2006. "Income and childbearing decisions: evidence from Italy," ISER Working Paper Series 2006-06, Institute for Social and Economic Research.
    47. Matteo PICCHIO, 2006. "Wage Differentials between Temporary and Permanent Workers in Italy," Working Papers 257, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    48. Fabio Trojani, 2007. "Accurate Short-Term Yield Curve Forecasting using Functional Gradient Descent," Journal of Financial Econometrics, Oxford University Press, vol. 5(4), pages 591-623, Fall.
    49. Atems Bebonchu & Bergtold Jason, 2016. "Revisiting the statistical specification of near-multicollinearity in the logistic regression model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(2), pages 199-210, April.
    50. DAUTEL Vincent & WALTHER Olivier, 2011. "The geography of innovation in the Luxembourg metropolitan region: an intra-regional approach," LISER Working Paper Series 2011-38, Luxembourg Institute of Socio-Economic Research (LISER).
    51. Carlos Medina D. & Jairo Núñez M., 2006. "La oferta de servicios del sector financiero formal en Bogotá," Coyuntura Social 12890, Fedesarrollo.
    52. Lynes, Melissa K. & Bergtold, Jason S. & Williams, Jeffery R. & Fewell, Jason E., 2012. "Determining Farmers’ Willingness-To-Grow Cellulosic Biofuel Feedstocks on Agricultural Land," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124777, Agricultural and Applied Economics Association.
    53. Embaye, Weldensie T. & Bergtold, Jason S. & Archer, David & Flora, Cornelia & Andrango, Graciela C. & Odening, Marting & Buysse, Jeroen, 2018. "Examining farmers' willingness to grow and allocate land for oilseed crops for biofuel production," Energy Economics, Elsevier, vol. 71(C), pages 311-320.
    54. Jonathan Crook & Tony Bellotti, 2010. "Time varying and dynamic models for default risk in consumer loans," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(2), pages 283-305, April.
    55. Richard B. Goud Jr., 2002. "Ownership and Firm Performance: Evidence from 25 Countries in Central and Eastern Europe and the Former Soviet Union," Development and Comp Systems 0207002, University Library of Munich, Germany.
    56. Elena-Ivona Dumitrescu & Christophe Hurlin & Vinson Pham, 2012. "Backtesting Value-at-Risk: From Dynamic Quantile to Dynamic Binary Tests," Working Papers halshs-00671658, HAL.
    57. William Maloney & Patricio Aroca, 2004. "Migration, Trade and FDI in Mexico," Econometric Society 2004 Latin American Meetings 329, Econometric Society.
    58. Czarnitzki, Dirk, 2002. "Research and development: financial constraints and the role of public funding for small and medium-sized enterprises," ZEW Discussion Papers 02-74, ZEW - Leibniz Centre for European Economic Research.
    59. Enrico Fabrizi, 2009. "The Determinants of Labour Market Transitions," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 68(2), pages 233-265, July.
    60. Czarnitzki, Dirk & Rammer, Christian, 2001. "Technology transfer and the Internet: a chance for outsiders at public science to get into the business?," ZEW Discussion Papers 01-54, ZEW - Leibniz Centre for European Economic Research.
    61. Florian Umlauf, 2014. "Network Determinants of a Collaborative Funding System: The Case of the German Innovation Policy," Papers on Economics and Evolution 2014-03, Philipps University Marburg, Department of Geography.
    62. Bergtold, Jason S. & Spanos, Aris, 2005. "Bernoulli Regression Models: Re-examining Statistical Models with Binary Dependent Variables," 2005 Annual meeting, July 24-27, Providence, RI 19282, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    63. Barreiro-Hurlé, Jesús & Gracia, Azucena & de-Magistris, Tiziana, 2010. "Does nutrition information on food products lead to healthier food choices?," Food Policy, Elsevier, vol. 35(3), pages 221-229, June.
    64. Ramona Mariana CALINICA & Daniel CALINICA & Daniela Ancuta SARPE, 2011. "Identification, Analysis, Modeling and Prediction of Time Series Characterizing the Indicators of Asset Structure in the Credit Institutions Operating in Romania," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 358-366.
    65. Donato Masciandaro, 2008. "Offshore financial centres: the political economy of regulation," European Journal of Law and Economics, Springer, vol. 26(3), pages 307-340, December.
    66. Czarnitzki, Dirk & Toole, Andrew A., 2006. "Business R&D and the Interplay of R&D Subsidies and Market Uncertainty," ZEW Discussion Papers 06-055, ZEW - Leibniz Centre for European Economic Research.
    67. Lynes, Melissa K. & Bergtold, Jason S. & Williams, Jeffery R. & Fewell, Jason E., 2016. "Willingness of Kansas farm managers to produce alternative cellulosic biofuel feedstocks: An analysis of adoption and initial acreage allocation," Energy Economics, Elsevier, vol. 59(C), pages 336-348.
    68. Izabela Majer, 2006. "Application scoring: logit model approach and the divergence method compared," Working Papers 17, Department of Applied Econometrics, Warsaw School of Economics.
    69. Almus, Matthias, 2001. "Evaluating the impact of public start-up assistance: results from an econometric approach," ZEW Discussion Papers 01-23, ZEW - Leibniz Centre for European Economic Research.
    70. Jerzy Marzec & Stanisław Czyż & Piotr Styrkowiec, 2015. "Grouped probit regression analysis for shooting effectiveness in basketball," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 39, pages 135-150.

  4. Gourieroux, Christian & Monfort, Alain, 1997. "Simulation-based Econometric Methods," OUP Catalogue, Oxford University Press, number 9780198774754.

    Cited by:

    1. Chéron, Arnaud & Hairault, Jean-Olivier & Langot, François, 2004. "Labor Market Institutions and the Employment-Productivity Trade-Off: A Wage Posting Approach," IZA Discussion Papers 1364, Institute of Labor Economics (IZA).
    2. Kanabar, Ricky, 2016. "In or out? Poverty dynamics among older individuals in the UK," ISER Working Paper Series 2016-08, Institute for Social and Economic Research.
    3. Sarrias, Mauricio, 2016. "Discrete Choice Models with Random Parameters in R: The Rchoice Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 74(i10).
    4. Eric French & John Bailey Jones, 2004. "The Effects of Health Insurance and Self-Insurance on Retirement Behavior," Working Papers, Center for Retirement Research at Boston College wp2004-12, Center for Retirement Research, revised Apr 2004.
    5. Jae Wook Jung & Ina Simonovska & Ariel Weinberger, 2015. "Exporter Heterogeneity and Price Discrimination: A Quantitative View," NBER Working Papers 21408, National Bureau of Economic Research, Inc.
    6. Druedahl Jeppe & Jørgensen Thomas H., 2017. "Persistent vs. Permanent Income Shocks in the Buffer-Stock Model," The B.E. Journal of Macroeconomics, De Gruyter, vol. 17(1), pages 1-16, January.
    7. Efstathios Panayi & Gareth W. Peters, 2015. "Stochastic simulation framework for the limit order book using liquidity-motivated agents," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 2(02), pages 1-52.
    8. Òscar Jordà & Sharon Kozicki, 2007. "Estimation and Inference by the Method of Projection Minimum Distance," Staff Working Papers 07-56, Bank of Canada.
    9. Jenkins, Stephen P. & Osberg, Lars, 2003. "Nobody to Play With? The Implications of Leisure Coordination," IZA Discussion Papers 850, Institute of Labor Economics (IZA).
    10. Telyukova, Irina A., 2007. "Household Need for Liquidity and the Credit Card Debt Puzzle," MPRA Paper 6674, University Library of Munich, Germany.
    11. Nikhil Agarwal, 2014. "An Empirical Model of the Medical Match," NBER Working Papers 20767, National Bureau of Economic Research, Inc.
    12. Philipp Eisenhauer & James J. Heckman & Stefano Mosso, 2015. "Estimation Of Dynamic Discrete Choice Models By Maximum Likelihood And The Simulated Method Of Moments," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(2), pages 331-357, May.
    13. Fernández-Villaverde, Jesús & Zarruk Valencia , David, 2018. "A Practical Guide to Parallelization in Economics," CEPR Discussion Papers 12890, C.E.P.R. Discussion Papers.
    14. Dang,Hai-Anh H. & Lanjouw,Peter F. & Serajuddin,Umar & Dang,Hai-Anh H. & Lanjouw,Peter F. & Serajuddin,Umar, 2014. "Updating poverty estimates at frequent intervals in the absence of consumption data : methods and illustration with reference to a middle-income country," Policy Research Working Paper Series 7043, The World Bank.
    15. Denis Fougère & Jacqueline Pradel & Muriel Roger, 2005. "Does Job-Search Assistance Affect Search Effort and Outcomes ? A Microeconometric Analysis of Public Versus Private Search Methods," Working Papers 2005-33, Center for Research in Economics and Statistics.
    16. Denis Fougère & Jacqueline Pradel & Muriel Roger, 2009. "Does the public employment service affect search effort and outcomes," Post-Print halshs-00824380, HAL.
    17. Victor Aguirregabiria & Arvind Magesan, 2013. "Euler Equations for the Estimation of Dynamic Discrete Choice Structural Models," Working Papers tecipa-489, University of Toronto, Department of Economics.
    18. Alexander Tsyplakov, 2010. "Revealing the arcane: an introduction to the art of stochastic volatility models (in Russian)," Quantile, Quantile, issue 8, pages 69-122, July.
    19. Francesco Lamperti, 2016. "Empirical Validation of Simulated Models through the GSL-div: an Illustrative Application," LEM Papers Series 2016/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    20. Hall, Alastair R. & Inoue, Atsushi & Nason, James M. & Rossi, Barbara, 2012. "Information criteria for impulse response function matching estimation of DSGE models," Journal of Econometrics, Elsevier, vol. 170(2), pages 499-518.
    21. Franco Peracchi & Claudio Rossetti, 2019. "A nonlinear dynamic factor model of health and medical treatment," EIEF Working Papers Series 1901, Einaudi Institute for Economics and Finance (EIEF), revised Feb 2019.
    22. Sarrias, Mauricio & Daziano, Ricardo, 2017. "Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i02).
    23. Nguyen, Ha Trong & Connelly, Luke Brian, 2014. "The effect of unpaid caregiving intensity on labour force participation: Results from a multinomial endogenous treatment model," Social Science & Medicine, Elsevier, vol. 100(C), pages 115-122.
    24. Hanno Lustig, 2004. "How much Does Household Collateral Constrain Regional Risk Sharing? (joint with Stijn Van Nieuwerburgh) (updated February 2006)," UCLA Economics Online Papers 302, UCLA Department of Economics.
    25. Roberto Leombruni & Matteo Richiardi & Nicole J. Saam & Michele Sonnessa, 2005. "A Common Protocol for Agent-Based Social Simulation," LABORatorio R. Revelli Working Papers Series 47, LABORatorio R. Revelli, Centre for Employment Studies.
    26. Bayraktar, Nihal & Sakellaris, Plutarchos & Vermeulen, Philip, 2005. "Real versus financial frictions to capital investment," Working Paper Series 566, European Central Bank.
    27. A. Kamakura, Wagner & Afonso Mazzon, Jose & De Bruyn, Arnaud, 2006. "Modeling voter choice to predict the final outcome of two-stage elections," International Journal of Forecasting, Elsevier, vol. 22(4), pages 689-706.
    28. Ken Moon & Kostas Bimpikis & Haim Mendelson, 2018. "Randomized Markdowns and Online Monitoring," Management Science, INFORMS, vol. 64(3), pages 1271-1290, March.
    29. Bruno Contini & Roberto Leombruni & Matteo Richiardi, 2004. "Editorial," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 125-138.
    30. Mauricio Sarrias, 2020. "Random Parameters and Spatial Heterogeneity using Rchoice in R," REGION, European Regional Science Association, vol. 7, pages 1-19.
    31. Pavel Čížek & Jinghua Lei & Jenny E. Ligthart, 2017. "Do Neighbours Influence Value-Added-Tax Introduction? A Spatial Duration Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(1), pages 25-54, February.
    32. Tsyplakov, Alexander, 2010. "Revealing the arcane: an introduction to the art of stochastic volatility models," MPRA Paper 25511, University Library of Munich, Germany.
    33. Aguirregabiria, Victor & Magesan, Arvind, 2013. "Euler Equations for the Estimation of Dynamic Discrete Choice Structural," MPRA Paper 46056, University Library of Munich, Germany.
    34. Eric French, 2005. "The Effects of Health, Wealth, and Wages on Labour Supply and Retirement Behaviour," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(2), pages 395-427.
    35. Yan Ji, 2017. "Job Search under Debt: Aggregate Implications of Student Loans," 2017 Meeting Papers 222, Society for Economic Dynamics.
    36. Daniel Navarro-Martinez & Graham Loomes & Andrea Isoni & David Butler & Larbi Alaoui, 2018. "Boundedly rational expected utility theory," Journal of Risk and Uncertainty, Springer, vol. 57(3), pages 199-223, December.
    37. Komunjer, Ivana & Ragusa, Giuseppe, 2016. "Existence And Characterization Of Conditional Density Projections," Econometric Theory, Cambridge University Press, vol. 32(4), pages 947-987, August.
    38. Yang Lu, 2018. "Dynamic Frailty Count Process in Insurance: A Unified Framework for Estimation, Pricing, and Forecasting," Post-Print halshs-02418950, HAL.
    39. Raphael Schoenle, 2017. "International Menu Costs and Price Dynamics," Review of International Economics, Wiley Blackwell, vol. 25(3), pages 578-606, August.
    40. Sundström, David, 2016. "A Comparison of Techniques to Evaluate Policies in Public Procurement," Umeå Economic Studies 928, Umeå University, Department of Economics, revised 17 Jun 2016.
    41. Giovanni Ponti & Claudio Rossetti, 2018. "Unobserved Heterogeneity in Structural Behavioral Models Using Experimental Data," CSEF Working Papers 512, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    42. Thierry Kamionka & Xavier VU NGOC, 2015. "Trajectoire des jeunes sur le marché du travail, quartier d’origine et diplôme : une modélisation dynamique," Working Papers 2015-01, Center for Research in Economics and Statistics.
    43. Shuowen Chen, 2022. "Indirect Inference for Nonlinear Panel Models with Fixed Effects," Papers 2203.10683, arXiv.org, revised Apr 2022.
    44. Pelin Akyol & James Key & Kala Krishna, 2022. "Hit or Miss? Test Taking Behavior in Multiple Choice Exams," Annals of Economics and Statistics, GENES, issue 147, pages 3-50.
    45. Vicky Fasen‐Hartmann & Sebastian Kimmig, 2020. "Robust estimation of stationary continuous‐time arma models via indirect inference," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(5), pages 620-651, September.
    46. Lee, Donghoon & Song, Kyungchul, 2015. "Simulated maximum likelihood estimation for discrete choices using transformed simulated frequencies," Journal of Econometrics, Elsevier, vol. 187(1), pages 131-153.
    47. Jonathan Chassot & Michael Creel, 2023. "Constructing Efficient Simulated Moments Using Temporal Convolutional Networks," Working Papers 1412, Barcelona School of Economics.
    48. Gagliardini, Patrick & Gouriéroux, Christian, 2019. "Identification by Laplace transforms in nonlinear time series and panel models with unobserved stochastic dynamic effects," Journal of Econometrics, Elsevier, vol. 208(2), pages 613-637.
    49. Stephen J. Terry, 2015. "The Macro Impact of Short-Termism," Discussion Papers 15-022, Stanford Institute for Economic Policy Research.
    50. Efstathios Panayi & Gareth Peters, 2015. "Stochastic simulation framework for the Limit Order Book using liquidity motivated agents," Papers 1501.02447, arXiv.org, revised Jan 2015.
    51. Leombruni, Roberto & Richiardi, Matteo, 2005. "Why are economists sceptical about agent-based simulations?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 103-109.
    52. Elisa Baroni & Matteo Richiardi, 2007. "Orcutt’s Vision, 50 years on," LABORatorio R. Revelli Working Papers Series 65, LABORatorio R. Revelli, Centre for Employment Studies.

  5. Gourieroux,Christian & Monfort,Alain, 1997. "Time Series and Dynamic Models," Cambridge Books, Cambridge University Press, number 9780521423083.

    Cited by:

    1. Mariam Camarero & Juan Sapena & Cecilio Tamarit, 2020. "Modelling Time-Varying Parameters in Panel Data State-Space Frameworks: An Application to the Feldstein–Horioka Puzzle," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 87-114, June.
    2. Dufour, Jean-Marie & Pelletier, Denis & Renault, Eric, 2006. "Short run and long run causality in time series: inference," Journal of Econometrics, Elsevier, vol. 132(2), pages 337-362, June.
    3. von Cramon-Taubadel, Stephan & Loy, Jens-Peter & Meyer, Jochen, 2006. "Data Aggregation and Vertical Price Transmission: An Experiment with German Food Prices," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25291, International Association of Agricultural Economists.
    4. Gunnar Bårdsen & Eilev S. Jansen & Ragnar Nymoen, 2002. "The Empirical (ir)Relevance of the New Keynesian Phillips Curve," Working Paper Series 2102, Department of Economics, Norwegian University of Science and Technology.
    5. Kiseok Nam & Joshua Krausz & Augustine C. Arize, 2014. "Revisiting the intertemporal risk-return relation: asymmetrical effect of unexpected volatility shocks," Quantitative Finance, Taylor & Francis Journals, vol. 14(12), pages 2193-2203, December.
    6. jose ramos pires manso, 2004. "Economical Versus Political Cycles In An Iberian Manufacturing Sector," Industrial Organization 0404003, University Library of Munich, Germany.
    7. Jean-François Richard, 2015. "Likelihood Based Inference and Prediction in Spatio-temporal Panel Count Models for Urban Crimes," Working Paper 5657, Department of Economics, University of Pittsburgh.
    8. Gourieroux, Christian & Jasiak, Joanna, 1999. "Nonlinear innovations and impulse responses," CEPREMAP Working Papers (Couverture Orange) 9906, CEPREMAP.
    9. S.M.Husnain Bokhari & Ishaque Ahmed Ansari, 2009. "Seasonal Adjustment Of Some Financial Indicators Of Pakistan," IBT Journal of Business Studies (JBS), Ilma University, Faculty of Management Science, vol. 5(2), pages 107-123.
    10. Jeong-Ryeol Kurz-Kim, 2008. "Combining forecasts using optimal combination weight and generalized autoregression," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(5), pages 419-432.
    11. DUFOUR, Jean-Marie & JOUINI, Tarek, 2005. "Finite-Sample Simulation-Based Inference in VAR Models with Applications to Order Selection and Causality Testing," Cahiers de recherche 2005-12, Universite de Montreal, Departement de sciences economiques.
    12. Lemmens, Aurélie & Croux, Christophe & Dekimpe, Marnik G., 2008. "Measuring and testing Granger causality over the spectrum: An application to European production expectation surveys," International Journal of Forecasting, Elsevier, vol. 24(3), pages 414-431.
    13. Ruiz-Castillo, Javier, 2012. "From the “European Paradox” to a European Drama in citation impact," UC3M Working papers. Economics we1211, Universidad Carlos III de Madrid. Departamento de Economía.
    14. Asim Zia, 2012. "Land Use Adaptation to Climate Change: Economic Damages from Land-Falling Hurricanes in the Atlantic and Gulf States of the USA, 1900–2005," Sustainability, MDPI, vol. 4(5), pages 1-16, May.
    15. Maddalena Cavicchioli, 2016. "Weak VARMA representations of regime-switching state-space models," Statistical Papers, Springer, vol. 57(3), pages 705-720, September.
    16. von Cramon-Taubadel, Stephan & Loy, Jens-Peter & Meyer, Jochen, 2003. "The Impact Of Data Aggregation On The Measurement Of Vertical Price Transmission: Evidence From German Food Prices," 2003 Annual meeting, July 27-30, Montreal, Canada 21987, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    17. Gunnar Bårdsen & Eilev S. Jansen & Ragnar Nymoen, 2004. "Econometric Evaluation of the New Keynesian Phillips Curve," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(s1), pages 671-686, September.
    18. Michel Fliess & Cédric Join & Frédéric Hatt, 2011. "Is a probabilistic modeling really useful in financial engineering? [A-t-on vraiment besoin d'un modèle probabiliste en ingénierie financière ?]," Post-Print hal-00585152, HAL.
    19. Yaya, OlaOluwa S. & Lukman, Adewale F. & Vo, Xuan Vinh, 2022. "Persistence and volatility spillovers of bitcoin price to gold and silver prices," Resources Policy, Elsevier, vol. 79(C).
    20. Bardsen, Gunnar & Eitrheim, Oyvind & Jansen, Eilev S. & Nymoen, Ragnar, 2005. "The Econometrics of Macroeconomic Modelling," OUP Catalogue, Oxford University Press, number 9780199246502.
    21. Juan Carlos Cuestas, 2012. "A Note on the Current Account Sustainability of European Transition Economies," Working Papers 2012011, The University of Sheffield, Department of Economics.
    22. Ali Altug Bicer & Isam Abdelhafid A. Milad, 2020. "The Impact of Firm Characteristics on the Level of Voluntary Disclosure: Evidence from Listed Banks in Borsa Istanbul," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 9(2), pages 13-25, April.
    23. Héctor Mauricio Nunez Amortegui, 2005. "Una evaluación de los pronósticos de inflación en Colombia bajo el esquema de inflación objetivo," Revista de Economía del Rosario, Universidad del Rosario, December.
    24. Schulz, Rainer, 2002. "Real estate valuation according to standardized methods: An empirical analysis," SFB 373 Discussion Papers 2002,55, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    25. Menelaos Karanasos, "undated". "The Covariance Structure of Mixed ARMA Models," Discussion Papers 00/10, Department of Economics, University of York.
    26. Dufour, Jean-Marie & Taamouti, Abderrahim, 2010. "Short and long run causality measures: Theory and inference," Journal of Econometrics, Elsevier, vol. 154(1), pages 42-58, January.
    27. Filippo Altissimo & Alberto Locarno & Stefano Siviero, 2002. "Dealing with forward-looking expectations and policy rules in quantifying the channels of transmission of monetary policy," Temi di discussione (Economic working papers) 460, Bank of Italy, Economic Research and International Relations Area.
    28. Paniagua, Jordi & Sapena, Juan & Tamarit, Cecilio, 2017. "Sovereign debt spreads in EMU: The time-varying role of fundamentals and market distrust," Journal of Financial Stability, Elsevier, vol. 33(C), pages 187-206.
    29. Andreas Blöchl & Gebhard Flaig, 2014. "The Hodrick-Prescott Filter with a Time-Varying Penalization Parameter. An Application for the Trend Estimation of Global Temperature," CESifo Working Paper Series 4577, CESifo.
    30. Gunther Schnabl & Dirk Baur, 2005. "Purchasing Power Parity: Granger Causality Tests for the Yen- Dollar Exchange Rate," International Finance 0506006, University Library of Munich, Germany.
    31. Hyeong-Ohk Bae & Seung-Yeal Ha & Yongsik Kim & Hyuncheul Lim & Jane Yoo, 2020. "Volatility Flocking by Cucker–Smale Mechanism in Financial Markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 27(3), pages 387-414, September.
    32. Jean-Fran�ois Richard, 2011. "Book Review: Econometric Modeling and Inference," Econometric Reviews, Taylor & Francis Journals, vol. 30(5), pages 577-581, October.
    33. JONATHAN McCARTHY & EGON ZAKRAJŠEK, 2007. "Inventory Dynamics and Business Cycles: What Has Changed?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2‐3), pages 591-613, March.
    34. Caroline JARDET & Alain MONFORT & Fulvio PEGORARO, 2011. "No-arbitrage Near-Cointegrated VAR(p) Term Structure Models, Term Premia and GDP Growth," Working Papers 2011-03, Center for Research in Economics and Statistics.
    35. Guo, Shaojun & Ling, Shiqing & Zhu, Ke, 2013. "Factor double autoregressive models with application to simultaneous causality testing," MPRA Paper 51570, University Library of Munich, Germany.
    36. Wong, Hock Tsen, 2017. "Real exchange rate returns and real stock price returns," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 340-352.
    37. Vogler, Jan & Liesenfeld, Roman & Richard, Jean-Francois, 2015. "Likelihood based inference and prediction in spatio-temporal panel count models for urban crimes," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113131, Verein für Socialpolitik / German Economic Association.
    38. Andreas Gohs, 2017. "Correction Procedures for Appraisal-Based Real Estate Indices," ERES eres2017_274, European Real Estate Society (ERES).
    39. Gourieroux, Christian & Jasiak, Joann, 2010. "Inference for Noisy Long Run Component Process," MPRA Paper 98987, University Library of Munich, Germany.
    40. Lavan Mahadeva & Alex Muscatelli, 2005. "National Accounts Revisions and Output Gap Estimates in a Model of Monetary Policy with Data Uncertainty," Discussion Papers 14, Monetary Policy Committee Unit, Bank of England.
    41. Korn, Olaf & Koziol, Christian, 2006. "Bond portfolio optimization: A risk-return approach," CFR Working Papers 06-03, University of Cologne, Centre for Financial Research (CFR).
    42. Warsono Warsono & Edwin Russels & Wamiliana Wamiliana & Widiarti Widiarti & Mustofa Usman, 2019. "Vector Autoregressive with Exogenous Variable Model and its Application in Modeling and Forecasting Energy Data: Case Study of PTBA and HRUM Energy," International Journal of Energy Economics and Policy, Econjournals, vol. 9(2), pages 390-398.
    43. Monica Billio & Maddalena Cavicchioli, 2013. "�Markov Switching Models for Volatility: Filtering, Approximation and Duality�," Working Papers 2013:24, Department of Economics, University of Venice "Ca' Foscari".
    44. Taoufik Bouezmarni & Abderrahim Taamouti, 2014. "Nonparametric tests for conditional independence using conditional distributions," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 26(4), pages 697-719, December.
    45. Simeonova-Ganeva, Ralitsa, 2006. "Влияние На Човешкия Капитал Върху Икономическия Растеж (България, 1949-2005 Г.) [The Impact of Human Capital on the Economic Growth (Bulgaria, 1949-2005)]," MPRA Paper 37244, University Library of Munich, Germany.
    46. Christina Bannier, 2003. "The Role of Information Disparity in the 1994/95 Mexican Peso," International Finance 0310001, University Library of Munich, Germany.
    47. Michel Fliess & C'edric Join & Fr'ed'eric Hatt, 2011. "Is a probabilistic modeling really useful in financial engineering? - A-t-on vraiment besoin d'un mod\`ele probabiliste en ing\'enierie financi\`ere ?," Papers 1104.2124, arXiv.org, revised May 2011.
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