Time-Varying General Dynamic Factor Models and the Measurement of Financial Connectedness
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- Barigozzi, Matteo & Hallin, Marc & Soccorsi, Stefano & von Sachs, Rainer, 2021. "Time-varying general dynamic factor models and the measurement of financial connectedness," Journal of Econometrics, Elsevier, vol. 222(1), pages 324-343.
- Barigozzi, M. & Hallin, M. & Soccorsi, S. & Von Sachs, R., 2019. "Time-Varying General Dynamic Factor Models and the Measurement of Financial Connectedness," LIDAM Discussion Papers ISBA 2019024, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Barigozzi, Matteo & Hallin, Marc & Soccorsi, Stefano & von Sachs, Rainer, 2020. "Time-varying general dynamic factor models and the measurement of financial connectedness," LIDAM Reprints ISBA 2020015, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
References listed on IDEAS
- Bates, Brandon J. & Plagborg-Møller, Mikkel & Stock, James H. & Watson, Mark W., 2013.
"Consistent factor estimation in dynamic factor models with structural instability,"
Journal of Econometrics, Elsevier, vol. 177(2), pages 289-304.
- Brandon J. Bates & Mikkel Plagborg-Møller & James H. Stock & Mark W. Watson, "undated". "Consistent factor estimation in dynamic factor models with structural instability," Working Paper 84631, Harvard University OpenScholar.
- Bates, Brandon J. & Plagborg-Møller, Mikkel & Stock, James H. & Watson, Mark W., 2013. "Consistent Factor Estimation in Dynamic Factor Models with Structural Instability," Scholarly Articles 28469786, Harvard University Department of Economics.
- Wu, Wei Biao & Zaffaroni, Paolo, 2018. "Asymptotic Theory For Spectral Density Estimates Of General Multivariate Time Series," Econometric Theory, Cambridge University Press, vol. 34(1), pages 1-22, February.
- Diebold, Francis X. & Yılmaz, Kamil, 2014.
"On the network topology of variance decompositions: Measuring the connectedness of financial firms,"
Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
- Francis X. Diebold & Kamil Yilmaz, 2011. "On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms," Koç University-TUSIAD Economic Research Forum Working Papers 1124, Koc University-TUSIAD Economic Research Forum.
- Francis X. Diebold & Kamil Yilmaz, 2011. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Working Papers 11-45, Federal Reserve Bank of Philadelphia.
- Francis X. Diebold & Kamil Yılmaz, 2011. "On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms," PIER Working Paper Archive 11-031, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Francis X. Diebold & Kamil Yilmaz, 2011. "On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms," NBER Working Papers 17490, National Bureau of Economic Research, Inc.
- Jushan Bai & Serena Ng, 2002.
"Determining the Number of Factors in Approximate Factor Models,"
Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
- Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Econometric Society World Congress 2000 Contributed Papers 1504, Econometric Society.
- Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Boston College Working Papers in Economics 440, Boston College Department of Economics.
- Allen, Franklin & Babus, Ana & Carletti, Elena, 2012.
"Asset commonality, debt maturity and systemic risk,"
Journal of Financial Economics, Elsevier, vol. 104(3), pages 519-534.
- Franklin Allen & Ana Babus & Elena Carletti, 2010. "Asset Commonality, Debt Maturity, and Systemic Risk," NBER Chapters, in: Market Institutions and Financial Market Risk, National Bureau of Economic Research, Inc.
- Allen, Franklin & Carletti, Elena & Babus, Ana, 2011. "Asset Commonality, Debt Maturity and Systemic Risk," CEPR Discussion Papers 8476, C.E.P.R. Discussion Papers.
- Allen, Franklin & Babus, Ana & Carletti, Elena, 2013. "Asset Commonality, Debt Maturity and Systemic Risk," Working Papers 10-30, University of Pennsylvania, Wharton School, Weiss Center.
- Allen, Franklin & Babus, Ana & Carletti, Elena, 2011. "Asset Commonality, Debt Maturity and Systemic Risk," Working Papers 11-58, University of Pennsylvania, Wharton School, Weiss Center.
- Viral V. Acharya & Lasse H. Pedersen & Thomas Philippon & Matthew Richardson, 2017.
"Measuring Systemic Risk,"
The Review of Financial Studies, Society for Financial Studies, vol. 30(1), pages 2-47.
- Viral V. Acharya & Christian Brownlees & Robert Engle & Farhang Farazmand & Matthew Richardson, 2013. "Measuring Systemic Risk," World Scientific Book Chapters, in: Oliviero Roggi & Edward I Altman (ed.), Managing and Measuring Risk Emerging Global Standards and Regulations After the Financial Crisis, chapter 3, pages 65-98, World Scientific Publishing Co. Pte. Ltd..
- Viral V. Acharya, 2011. "Measuring Systemic Risk," World Scientific Book Chapters, in: Stijn Claessens & Douglas D Evanoff & George G Kaufman & Laura E Kodres (ed.), Macroprudential Regulatory Policies The New Road to Financial Stability?, chapter 10, pages 133-143, World Scientific Publishing Co. Pte. Ltd..
- Viral V. Acharya & Lasse H. Pedersen & Thomas Philippon & Matthew Richardson, 2010. "Measuring systemic risk," Working Papers (Old Series) 1002, Federal Reserve Bank of Cleveland.
- Richardson, Matthew P & Philippon, Thomas & Acharya, Viral & Pedersen, Lasse Heje, 2012. "Measuring Systemic Risk," CEPR Discussion Papers 8824, C.E.P.R. Discussion Papers.
- Viral V. Acharya, 2010. "Measuring systemic risk," Proceedings 1140, Federal Reserve Bank of Chicago.
- Motta, Giovanni & Hafner, Christian M. & von Sachs, Rainer, 2011.
"Locally Stationary Factor Models: Identification And Nonparametric Estimation,"
Econometric Theory, Cambridge University Press, vol. 27(6), pages 1279-1319, December.
- Motta, Giovanni & Hafner, Christian & von Sachs, Rainer, 2010. "Locally Stationary Factor Models: Identification And Nonparametric Estimation," LIDAM Reprints ISBA 2010009, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Motta, Giovanni & Hafner, Christian & von Sachs, Rainer, 2011. "Locally Stationary Factor Models: Identification And Nonparametric Estimation," LIDAM Reprints ISBA 2011007, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Billio, Monica & Getmansky, Mila & Lo, Andrew W. & Pelizzon, Loriana, 2012.
"Econometric measures of connectedness and systemic risk in the finance and insurance sectors,"
Journal of Financial Economics, Elsevier, vol. 104(3), pages 535-559.
- Monica Billio & Mila Getmansky & Andrew W. Lo & Loriana Pelizzon, 2010. "Econometric Measures of Connectedness and Systemic Risk in the Finance and Insurance Sectors," NBER Chapters, in: Market Institutions and Financial Market Risk, National Bureau of Economic Research, Inc.
- Monica Billio & Mila Getmansky & Andrew W. Lo & Loriana Pelizzon, 2011. "Econometric Measures of Connectedness and Systemic Risk in the Finance and Insurance Sectors," Working Papers 2011_21, Department of Economics, University of Venice "Ca' Foscari".
- Eichler, Michael & Motta, Giovanni & von Sachs, Rainer, 2011.
"Fitting dynamic factor models to non-stationary time series,"
Journal of Econometrics, Elsevier, vol. 163(1), pages 51-70, July.
- Eichler, M. & Motta, G. & von Sachs, R., 2009. "Fitting dynamic factor models to non-stationary time series," Research Memorandum 002, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
- Ian Dew-Becker & Stefano Giglio, 2016.
"Asset Pricing in the Frequency Domain: Theory and Empirics,"
The Review of Financial Studies, Society for Financial Studies, vol. 29(8), pages 2029-2068.
- Ian Dew-Becker & Stefano Giglio, 2013. "Asset Pricing in the Frequency Domain: Theory and Empirics," NBER Working Papers 19416, National Bureau of Economic Research, Inc.
- Stefano Giglio & Ian Dew-Becker, 2013. "Asset pricing in the frequency domain: theory and empirics," 2013 Meeting Papers 1244, Society for Economic Dynamics.
- Sylvain Benoit & Jean-Edouard Colliard & Christophe Hurlin & Christophe Pérignon, 2017.
"Where the Risks Lie: A Survey on Systemic Risk,"
Review of Finance, European Finance Association, vol. 21(1), pages 109-152.
- Colliard , Jean-Edouard & Perignon , Christophe, 2015. "Where the Risks Lie: A Survey on Systemic Risk," HEC Research Papers Series 1088, HEC Paris.
- Sylvain Benoît & Jean-Edouard Colliard & Christophe Hurlin & Christophe Pérignon, 2017. "Where the Risks Lie: A Survey on Systemic Risk," Post-Print hal-01498631, HAL.
- Sylvain Benoît & Jean-Edouard Colliard & Christophe Hurlin & Christophe Pérignon, 2015. "Where the Risks Lie: A Survey on Systemic Risk," Working Papers halshs-01142014, HAL.
- Sylvain Benoît & Jean-Edouard Colliard & Christophe Hurlin & Christophe Pérignon, 2015. "Where the Risks Lie: A Survey on Systemic Risk," Working Papers hal-02011395, HAL.
- Forni, Mario & Hallin, Marc & Lippi, Marco & Zaffaroni, Paolo, 2015.
"Dynamic factor models with infinite-dimensional factor spaces: One-sided representations,"
Journal of Econometrics, Elsevier, vol. 185(2), pages 359-371.
- Mario Forni & Marc Hallin & Marco Lippi & Paolo Zaffaroni, 2012. "Dynamic Factor Models with Infinite-Dimensional Factor Space: One-Sided Representations," Working Papers ECARES ECARES 2012-046, ULB -- Universite Libre de Bruxelles.
- Forni, Mario & Di Bonaventura, Luca & Pattarin, Francesco, 2018.
"The Forcasting Performance of Dynamic Factor Models with Vintage Data,"
CEPR Discussion Papers
13034, C.E.P.R. Discussion Papers.
- Luca Di Bonaventura & Mario Forni & Francesco Pattarin, 2018. "The Forecasting Performance of Dynamic Factor Models with Vintage Data," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 0070, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
- Luca Di Bonaventura & Mario Forni & Francesco Pattarin, 2018. "The Forecasting Performance of Dynamic Factor Models with Vintage Data," Center for Economic Research (RECent) 138, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
- Nathan S. Balke & Mark E. Wohar, 2002.
"Low-Frequency Movements in Stock Prices: A State-Space Decomposition,"
The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 649-667, November.
- Nathan S. Balke & Mark E. Wohar, 2000. "Low frequency movements in stock prices: a state space decomposition," Working Papers 0001, Federal Reserve Bank of Dallas.
- Matteo Barigozzi & Christian Brownlees, 2019.
"NETS: Network estimation for time series,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(3), pages 347-364, April.
- Matteo Barigozzi & Christian Brownlees, 2013. "Nets: Network Estimation for Time Series," Working Papers 723, Barcelona School of Economics.
- Barigozzi, Matteo & Brownlees, Christian T., 2018. "Nets: network estimation for time series," LSE Research Online Documents on Economics 90493, London School of Economics and Political Science, LSE Library.
- Matteo Barigozzi & Christian T. Brownlees, 2013. "Nets: Network estimation for time series," Economics Working Papers 1391, Department of Economics and Business, Universitat Pompeu Fabra.
- Barigozzi, Matteo & Cho, Haeran & Fryzlewicz, Piotr, 2018.
"Simultaneous multiple change-point and factor analysis for high-dimensional time series,"
Journal of Econometrics, Elsevier, vol. 206(1), pages 187-225.
- Barigozzi, Matteo & Cho, Haeran & Fryzlewicz, Piotr, 2018. "Simultaneous multiple change-point and factor analysis for high-dimensional time series," LSE Research Online Documents on Economics 88110, London School of Economics and Political Science, LSE Library.
- Fulvio Ortu & Andrea Tamoni & Claudio Tebaldi, 2013. "Long-Run Risk and the Persistence of Consumption Shocks," The Review of Financial Studies, Society for Financial Studies, vol. 26(11), pages 2876-2915.
- Nicholas Bloom & Ian Wright & Jose Maria Barrero, 2016.
"Short- and Long-run Uncertainty,"
2016 Meeting Papers
1576, Society for Economic Dynamics.
- Jose Maria Barrero & Nicholas Bloom & Ian Wright, 2017. "Short and Long Run Uncertainty," NBER Working Papers 23676, National Bureau of Economic Research, Inc.
- Daniel Peña & Victor J. Yohai, 2016. "Generalized Dynamic Principal Components," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(515), pages 1121-1131, July.
- Parkinson, Michael, 1980. "The Extreme Value Method for Estimating the Variance of the Rate of Return," The Journal of Business, University of Chicago Press, vol. 53(1), pages 61-65, January.
- Matteo Barigozzi & Marc Hallin & Stefano Soccorsi, 2019.
"Identification of Global and Local Shocks in International Financial Markets via General Dynamic Factor Models,"
Journal of Financial Econometrics, Oxford University Press, vol. 17(3), pages 462-494.
- Barigozzi, Matteo & Hallin, Marc & Soccorsi, Stefano, 2019. "Identification of global and local shocks in international financial markets via general dynamic factor models," LSE Research Online Documents on Economics 86932, London School of Economics and Political Science, LSE Library.
- Forni, Mario & Hallin, Marc & Lippi, Marco & Zaffaroni, Paolo, 2017.
"Dynamic factor models with infinite-dimensional factor space: Asymptotic analysis,"
Journal of Econometrics, Elsevier, vol. 199(1), pages 74-92.
- Pietro Dallari & Antonio Ribba, 2015. "Dynamic Factor Models with In nite-Dimensional Factor Space: Asymptotic Analysis," Center for Economic Research (RECent) 115, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
- Mario Forni & Marc Hallin & Marco Lippi & Paolo Zaffaroni, 2016. "Dynamic Factor Models with Infinite-Dimensional Factor Space. Asymptotic Analysis," EIEF Working Papers Series 1607, Einaudi Institute for Economics and Finance (EIEF), revised Apr 2016.
- Lippi, Marco & Hallin, Marc & Forni, Mario & Zaffaroni, Paolo, 2015. "Dynamic Factor Models with Infinite-Dimensional Factor Space: Asymptotic Analysis," CEPR Discussion Papers 10618, C.E.P.R. Discussion Papers.
- Mario Forni & Marc Hallin & Marco Lippi & Paolo Zaffaroni, 2015. "Dynamic Factor Models with Infinite-Dimensional Factor Space: Asymptotic Analysis," Working Papers ECARES ECARES 2015-23, ULB -- Universite Libre de Bruxelles.
- Mario Forni & Alessandro Giovannelli & Marco Lippi & Stefano Soccorsi, 2018.
"Dynamic factor model with infinite‐dimensional factor space: Forecasting,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(5), pages 625-642, August.
- Forni, Mario & Giovannelli, Alessandro & Lippi, Marco & Soccorsi, Stefano, 2016. "Dynamic Factor model with infinite dimensional factor space: forecasting," CEPR Discussion Papers 11161, C.E.P.R. Discussion Papers.
- Mario Forni & Alessandro Giovannelli & Marco Lippi & Stefano Soccorsi, 2016. "Dynamic Factor Model with Infinite Dimensional Factor Space: Forecasting," Working Papers ECARES ECARES 2016-16, ULB -- Universite Libre de Bruxelles.
- Mario Forni & Alessandro Giovannelli & Marco Lippi & Stefano Soccorsi, 2016. "Dynamic Factor model with infinite dimensional factor space: forecasting," Center for Economic Research (RECent) 120, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
- Forni, Mario & Giannone, Domenico & Lippi, Marco & Reichlin, Lucrezia, 2009.
"Opening The Black Box: Structural Factor Models With Large Cross Sections,"
Econometric Theory, Cambridge University Press, vol. 25(5), pages 1319-1347, October.
- Mario Forni & Domenico Giannone & Marco Lippi & Lucrezia Reichlin, 2007. "Opening the Black Box: Structural Factor Models with Large Cross-Sections," Center for Economic Research (RECent) 008, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
- Mario Forni & Domenico Giannone & Marco Lippi & Lucrezia Reichlin, 2008. "Opening the Black Box: Structural Factor Models with Large Cross-Sections," Working Papers ECARES 2008_036, ULB -- Universite Libre de Bruxelles.
- Forni, Mario & Giannone, Domenico & Lippi, Marco & Reichlin, Lucrezia, 2007. "Opening the black box: structural factor models with large cross-sections," Working Paper Series 712, European Central Bank.
- Marianne Baxter & Robert G. King, 1999.
"Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series,"
The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
- Marianne Baxter & Robert G. King, 1995. "Measuring Business Cycles Approximate Band-Pass Filters for Economic Time Series," NBER Working Papers 5022, National Bureau of Economic Research, Inc.
- Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2015.
"Systemic Risk and Stability in Financial Networks,"
American Economic Review, American Economic Association, vol. 105(2), pages 564-608, February.
- Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2013. "Systemic Risk and Stability in Financial Networks," NBER Working Papers 18727, National Bureau of Economic Research, Inc.
- J. B. Taylor & Harald Uhlig (ed.), 2016. "Handbook of Macroeconomics," Handbook of Macroeconomics, Elsevier, edition 1, volume 2, number 2.
- Tobias Adrian & Markus K. Brunnermeier, 2016.
"CoVaR,"
American Economic Review, American Economic Association, vol. 106(7), pages 1705-1741, July.
- Tobias Adrian & Markus K. Brunnermeier, 2008. "CoVaR," Staff Reports 348, Federal Reserve Bank of New York.
- Tobias Adrian & Markus K. Brunnermeier, 2011. "CoVaR," NBER Working Papers 17454, National Bureau of Economic Research, Inc.
- Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000.
"The Generalized Dynamic-Factor Model: Identification And Estimation,"
The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
- Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 1999. "The Generalized Dynamic Factor Model: Identification and Estimation," CEPR Discussion Papers 2338, C.E.P.R. Discussion Papers.
- Mario Forni & Marc Hallin & Lucrezia Reichlin & Marco Lippi, 2000. "The generalised dynamic factor model: identification and estimation," ULB Institutional Repository 2013/10143, ULB -- Universite Libre de Bruxelles.
- Christian Brownlees & Robert F. Engle, 2017.
"SRISK: A Conditional Capital Shortfall Measure of Systemic Risk,"
The Review of Financial Studies, Society for Financial Studies, vol. 30(1), pages 48-79.
- Brownlees, Christian & Engle, Robert F., 2017. "SRISK: a conditional capital shortfall measure of systemic risk," ESRB Working Paper Series 37, European Systemic Risk Board.
- Su, Liangjun & Wang, Xia, 2017. "On time-varying factor models: Estimation and testing," Journal of Econometrics, Elsevier, vol. 198(1), pages 84-101.
- Christian T. Brownlees & Giampiero M. Gallo, 2010.
"Comparison of Volatility Measures: a Risk Management Perspective,"
Journal of Financial Econometrics, Oxford University Press, vol. 8(1), pages 29-56, Winter.
- Christian T. Brownlees & Giampiero M. Gallo, 2007. "Comparison of Volatility Measures: a Risk Management Perspective," Econometrics Working Papers Archive wp2007_15, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
- Christian T. Brownlees & Giampiero Gallo, 2008. "Comparison of Volatility Measures: a Risk Management Perspective," Econometrics Working Papers Archive wp2008_03, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
- Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
- Hallin, Marc & Lippi, Marco, 2013.
"Factor models in high-dimensional time series—A time-domain approach,"
Stochastic Processes and their Applications, Elsevier, vol. 123(7), pages 2678-2695.
- Marc Hallin & Marco Lippi, 2013. "Factor Models in High-Dimensional Time Series: A Time-Domain Approach," Working Papers ECARES ECARES 2013-15, ULB -- Universite Libre de Bruxelles.
- Korobilis, D & Yilmaz, K, 2018.
"Measuring Dynamic Connectedness with Large Bayesian VAR Models,"
Essex Finance Centre Working Papers
20937, University of Essex, Essex Business School.
- Dimitris Korobilis & Kamil Yilmaz, 2018. "Measuring Dynamic Connectedness with Large Bayesian VAR Models," Koç University-TUSIAD Economic Research Forum Working Papers 1802, Koc University-TUSIAD Economic Research Forum.
- Matteo Barigozzi & Marc Hallin, 2017.
"A network analysis of the volatility of high dimensional financial series,"
Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(3), pages 581-605, April.
- Barigozzi, Matteo & Hallin, Marc, 2017. "A network analysis of the volatility of high-dimensionalfinancial series," LSE Research Online Documents on Economics 67456, London School of Economics and Political Science, LSE Library.
- Juan Rodríguez-Poo & Oliver Linton, 2001. "Nonparametric factor analysis of residual time series," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 10(1), pages 161-182, June.
- Hallin, Marc & Liska, Roman, 2007. "Determining the Number of Factors in the General Dynamic Factor Model," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 603-617, June.
- Sylvain Benoit & Jean-Edouard Colliard & Christophe Hurlin & Christophe Pérignon, 2017.
"Where the Risks Lie: A Survey on Systemic Risk,"
Review of Finance, European Finance Association, vol. 21(1), pages 109-152.
- Sylvain Benoît & Jean-Edouard Colliard & Christophe Hurlin & Christophe Pérignon, 2015. "Where the Risks Lie: A Survey on Systemic Risk," Working Papers halshs-01142014, HAL.
- Sylvain Benoit & Jean-Edouard Colliard & Christophe Hurlin & Christophe Pérignon, 2017. "Where the Risks Lie: A Survey on Systemic Risk," Post-Print hal-03535199, HAL.
- Sylvain Benoît & Jean-Edouard Colliard & Christophe Hurlin & Christophe Pérignon, 2017. "Where the Risks Lie: A Survey on Systemic Risk," Post-Print hal-01498631, HAL.
- Sylvain Benoît & Jean-Edouard Colliard & Christophe Hurlin & Christophe Pérignon, 2015. "Where the Risks Lie: A Survey on Systemic Risk," Working Papers hal-02011395, HAL.
- Colliard , Jean-Edouard & Perignon , Christophe, 2015. "Where the Risks Lie: A Survey on Systemic Risk," HEC Research Papers Series 1088, HEC Paris.
- Viral Acharya & Robert Engle & Matthew Richardson, 2012. "Capital Shortfall: A New Approach to Ranking and Regulating Systemic Risks," American Economic Review, American Economic Association, vol. 102(3), pages 59-64, May.
- Sassan Alizadeh & Michael W. Brandt & Francis X. Diebold, 2002. "Range‐Based Estimation of Stochastic Volatility Models," Journal of Finance, American Finance Association, vol. 57(3), pages 1047-1091, June.
- Dahlhaus, Rainer, 2009. "Local inference for locally stationary time series based on the empirical spectral measure," Journal of Econometrics, Elsevier, vol. 151(2), pages 101-112, August.
- Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2010. "Cascades in Networks and Aggregate Volatility," NBER Working Papers 16516, National Bureau of Economic Research, Inc.
- Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
- EICHLER , Michael & Motta, Giovanni & von Sachs, Rainer, 2011. "Fitting dynamic factor models to non-stationary time series," LIDAM Reprints ISBA 2011013, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
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- Longo, Luigi & Riccaboni, Massimo & Rungi, Armando, 2022.
"A neural network ensemble approach for GDP forecasting,"
Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
- Luigi Longo & Massimo Riccaboni & Armando Rungi, 2021. "A Neural Network Ensemble Approach for GDP Forecasting," Working Papers 02/2021, IMT School for Advanced Studies Lucca, revised Mar 2021.
- Jianqing Fan & Ricardo Masini & Marcelo C. Medeiros, 2021. "Bridging factor and sparse models," Papers 2102.11341, arXiv.org, revised Sep 2022.
- Rigana, Katerina & Wit, Ernst-Jan Camiel & Cook, Samantha, 2023. "A new way of measuring effects of financial crisis on contagion in currency markets," International Review of Financial Analysis, Elsevier, vol. 90(C).
- Barigozzi, Matteo & Hallin, Marc & Luciani, Matteo & Zaffaroni, Paolo, 2024.
"Inferential theory for generalized dynamic factor models,"
Journal of Econometrics, Elsevier, vol. 239(2).
- Matteo Barigozzi & Marc Hallin & Matteo Luciani & Paolo Zaffaroni, 2021. "Inferential Theory for Generalized Dynamic Factor Models," Working Papers ECARES 2021-20, ULB -- Universite Libre de Bruxelles.
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- Ellington, Michael, 2022. "Fat tails, serial dependence, and implied volatility index connections," European Journal of Operational Research, Elsevier, vol. 299(2), pages 768-779.
- Katerina Rigana & Ernst-Jan Camiel Wit & Samantha Cook, 2021. "Using Network-based Causal Inference to Detect the Sources of Contagion in the Currency Market," Papers 2112.13127, arXiv.org.
- Baruník, Jozef & Ellington, Michael, 2024.
"Persistence in financial connectedness and systemic risk,"
European Journal of Operational Research, Elsevier, vol. 314(1), pages 393-407.
- Jozef Barunik & Michael Ellington, 2020. "Persistence in Financial Connectedness and Systemic Risk," Papers 2007.07842, arXiv.org, revised Nov 2023.
- Ouyang, Zisheng & Zhou, Xuewei & Lu, Min & Liu, Ke, 2024. "Imported financial risk in global stock markets: Evidence from the interconnected network," Research in International Business and Finance, Elsevier, vol. 69(C).
- Rajae Azrak & Guy Mélard, 2022. "Autoregressive Models with Time-Dependent Coefficients—A Comparison between Several Approaches," Stats, MDPI, vol. 5(3), pages 1-21, August.
- Marc Hallin, 2022. "Manfred Deistler and the General Dynamic Factor Model Approach to the Analysis of High-Dimensional Time Series," Working Papers ECARES 2022-30, ULB -- Universite Libre de Bruxelles.
- Kole, Erik & van Dijk, Dick, 2023.
"Moments, shocks and spillovers in Markov-switching VAR models,"
Journal of Econometrics, Elsevier, vol. 236(2).
- Erik Kole & Dick van Dijk, 2022. "Moments, Shocks and Spillovers in Markov-switching VAR Models," Tinbergen Institute Discussion Papers 21-080/III, Tinbergen Institute, revised 11 Jan 2022.
- Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2024. "Forecasting Growth-at-Risk of the United States: Housing Price versus Housing Sentiment or Attention," Working Papers 202401, University of Pretoria, Department of Economics.
- Marina Yu. Malkina, 2024. "Financial Contagion of the Commodity Markets from the Stock Market during Pandemic and New Sanctions Shocks," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 23(2), pages 452-475.
- Baruník, Jozef & Bevilacqua, Mattia & Faff, Robert, 2024.
"Dynamic industry uncertainty networks and the business cycle,"
Journal of Economic Dynamics and Control, Elsevier, vol. 159(C).
- Jozef Barunik & Mattia Bevilacqua & Robert Faff, 2021. "Dynamic industry uncertainty networks and the business cycle," Papers 2101.06957, arXiv.org, revised Mar 2021.
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More about this item
Keywords
Dynamic factor models; volatility; financial crises; contagion; financial connectedness; high-dimensional time series; panel data; time-varying models; local stationarity.;All these keywords.
JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2019-02-18 (Econometrics)
- NEP-ETS-2019-02-18 (Econometric Time Series)
- NEP-RMG-2019-02-18 (Risk Management)
Statistics
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