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Eleonora Granziera

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.

Working papers

  1. Granziera, Eleonora & Sekhposyan, Tatevik, 2018. "Predicting relative forecasting performance: An empirical investigation," Bank of Finland Research Discussion Papers 23/2018, Bank of Finland.

    Cited by:

    1. Florens Odendahl & Tatevik Sekhposyan & Barbara Rossi, 2021. "Evaluating Forecast Performance with State Dependence," Working Papers 1295, Barcelona School of Economics.
    2. Granziera, Eleonora & Jalasjoki, Pirkka & Paloviita, Maritta, 2024. "The bias of the ECB inflation projections: A State-dependent analysis," Bank of Finland Research Discussion Papers 4/2024, Bank of Finland.
    3. Nima Nonejad, 2021. "Crude oil price point forecasts of the Norwegian GDP growth rate," Empirical Economics, Springer, vol. 61(5), pages 2913-2930, November.
    4. Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stephane Surprenant, 2020. "How is Machine Learning Useful for Macroeconomic Forecasting?," Working Papers 20-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Aug 2020.
    5. Dongyang Zhang & Cao Wang & Yu Dong, 2023. "How Does Firm ESG Performance Impact Financial Constraints? An Experimental Exploration of the COVID-19 Pandemic," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 35(1), pages 219-239, February.
    6. Nonejad, Nima, 2021. "Predicting equity premium by conditioning on macroeconomic variables: A prediction selection strategy using the price of crude oil," Finance Research Letters, Elsevier, vol. 41(C).
    7. Eleonora Granziera & Pirkka Jalasjoki & Maritta Paloviita, 2025. "The Bias of the ECB Inflation Projections: A State‐Dependent Analysis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(3), pages 922-940, April.
    8. Granziera, Eleanora & Larsen, Wegard H. & Meggiorini, Greta & Melosi, Leonardo, 2025. "Speaking of Inflation : The Influence of Fed Speeches on Expectations," The Warwick Economics Research Paper Series (TWERPS) 1555, University of Warwick, Department of Economics.
    9. Nonejad, Nima, 2022. "An interesting finding about the ability of geopolitical risk to forecast aggregate equity return volatility out-of-sample," Finance Research Letters, Elsevier, vol. 47(PB).
    10. Bańbura, Marta & Bobeica, Elena, 2023. "Does the Phillips curve help to forecast euro area inflation?," International Journal of Forecasting, Elsevier, vol. 39(1), pages 364-390.
    11. Luca Barbaglia & Sergio Consoli & Sebastiano Manzan, 2024. "Forecasting GDP in Europe with textual data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(2), pages 338-355, March.
    12. James Yae & Yang Luo, 2023. "Robust monitoring machine: a machine learning solution for out-of-sample R $$^2$$ 2 -hacking in return predictability monitoring," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-28, December.
    13. Nonejad, Nima, 2021. "The price of crude oil and (conditional) out-of-sample predictability of world industrial production," Journal of Commodity Markets, Elsevier, vol. 23(C).
    14. Nonejad, Nima, 2022. "Predicting equity premium out-of-sample by conditioning on newspaper-based uncertainty measures: A comparative study," International Review of Financial Analysis, Elsevier, vol. 83(C).
    15. Christopher G. Gibbs & Andrey L. Vasnev, 2017. "Conditionally Optimal Weights and Forward-Looking Approaches to Combining Forecasts," Discussion Papers 2017-10, School of Economics, The University of New South Wales.
    16. Daniel Borup & Jonas N. Eriksen & Mads M. Kjær & Martin Thyrsgaard, 2024. "Predicting Bond Return Predictability," Management Science, INFORMS, vol. 70(2), pages 931-951, February.
    17. Makni, Mohammed S., 2023. "Analyzing the impact of COVID-19 on the performance of listed firms in Saudi market," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    18. Nonejad, Nima, 2022. "Equity premium prediction using the price of crude oil: Uncovering the nonlinear predictive impact," Energy Economics, Elsevier, vol. 115(C).
    19. Philip Beran & Arne Vogler, 2021. "Multi-Day-Ahead Electricity Price Forecasting: A Comparison of fundamental, econometric and hybrid Models," EWL Working Papers 2102, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised Oct 2021.
    20. Barbara Rossi, 2019. "Forecasting in the presence of instabilities: How do we know whether models predict well and how to improve them," Economics Working Papers 1711, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2021.
    21. Karen Miranda & Pilar Poncela & Esther Ruiz, 2022. "Dynamic factor models: Does the specification matter?," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 13(1), pages 397-428, May.
    22. Sifat, Imtiaz & Zarei, Alireza & Hosseini, Seyedmehdi & Bouri, Elie, 2022. "Interbank liquidity risk transmission to large emerging markets in crisis periods," International Review of Financial Analysis, Elsevier, vol. 82(C).
    23. Nonejad, Nima, 2023. "Conditional out-of-sample predictability of aggregate equity returns and aggregate equity return volatility using economic variables," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 91-122.
    24. Eleonora Granziera & Vegard H. Larsen & Greta Meggiorini & Leonardo Melosi, 2025. "Speaking of Inflation: The Influence of Fed Speeches on Expectations," CESifo Working Paper Series 11992, CESifo.
    25. Nonejad, Nima, 2022. "Understanding the conditional out-of-sample predictive impact of the price of crude oil on aggregate equity return volatility," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).

  2. Eleonora Granziera & Hyungsik Roger Moon & Frank Schorfheide, 2017. "Inference for VARs Identified with Sign Restrictions," Papers 1709.10196, arXiv.org, revised Feb 2018.

    Cited by:

    1. Raffaella Giacomini & Toru Kitagawa, 2014. "Inference about Non-Identi?ed SVARs," CeMMAP working papers CWP45/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Mayer, Eric & Rüth, Sebastian & Scharler, Johann, 2016. "Total factor productivity and the propagation of shocks: Empirical evidence and implications for the business cycle," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 335-346.
    3. Klug, Thorsten & Mayer, Eric & Schuler, Tobias, 2021. "The corporate saving glut and the current account in Germany," Working Paper Series 2586, European Central Bank.
    4. Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2015.
    5. Candelon, Bertrand & Lieb, Lenard, 2013. "Fiscal policy in good and bad times," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2679-2694.
    6. Mark W. Watson, 2019. "Comment on "On the Empirical (Ir)relevance of the Zero Lower Bound Constraint"," NBER Chapters, in: NBER Macroeconomics Annual 2019, volume 34, pages 182-193, National Bureau of Economic Research, Inc.
    7. Andreas Tryphonides, 2023. "Online Appendix to "Identifying Preferences when Households are Financially Constrained"," Online Appendices 21-242, Review of Economic Dynamics.
    8. IWATA, Yasuharu & IIBOSHI, Hirokuni, 2023. "The Nexus between Public Debt and the Government Spending Multiplier: Fiscal Adjustments Matter," MPRA Paper 116355, University Library of Munich, Germany.
    9. Arias, Jonas E. & Rubio-Ramírez, Juan F. & Waggoner, Daniel F., 2014. "Inference Based on SVARs Identified with Sign and Zero Restrictions: Theory and Applications," Dynare Working Papers 30, CEPREMAP.
    10. Bicu, A.C. & Lieb, L.M., 2015. "Cross-border effects of fiscal policy in the Eurozone," Research Memorandum 019, Maastricht University, Graduate School of Business and Economics (GSBE).
    11. Herwartz, Helmut & Plödt, Martin, 2014. "Sign restrictions and statistical identification under volatility breaks -- Simulation based evidence and an empirical application to monetary policy analysis," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100326, Verein für Socialpolitik / German Economic Association.
    12. Hyunseung Oh & Nicolas Crouzet, 2013. "Can news shocks account for the business-cycle dynamics of inventories?," 2013 Meeting Papers 504, Society for Economic Dynamics.
    13. Dufour, Jean-Marie & Khalaf, Lynda & Kichian, Maral, 2013. "Identification-robust analysis of DSGE and structural macroeconomic models," Journal of Monetary Economics, Elsevier, vol. 60(3), pages 340-350.
    14. Pooyan Amir Ahmadi & Harald Uhlig, 2015. "Sign Restrictions in Bayesian FaVARs with an Application to Monetary Policy Shocks," NBER Working Papers 21738, National Bureau of Economic Research, Inc.
    15. Daisuke Ikeda & Shangshang Li & Sophocles Mavroeidis & Francesco Zanetti, 2022. "Testing the Effectiveness of Unconventional Monetary Policy in Japan and the United States," CAMA Working Papers 2022-68, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    16. Andrea Carriero & Alessio Volpicella, 2022. "Generalizing the Max Share Identification to multiple shocks identification: an Application to Uncertainty," School of Economics Discussion Papers 0322, School of Economics, University of Surrey.
    17. Kilian, Lutz & Murphy, Daniel, 2009. "Why Agnostic Sign Restrictions Are Not Enough: Understanding the Dynamics of Oil Market VAR Models," CEPR Discussion Papers 7471, C.E.P.R. Discussion Papers.
    18. 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.
    19. Prüser, Jan, 2021. "The horseshoe prior for time-varying parameter VARs and Monetary Policy," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
    20. Adam Lee & Geert Mesters, 2021. "Locally Robust Inference for Non-Gaussian Linear Simultaneous Equations Models," Working Papers 1278, Barcelona School of Economics.
    21. Sergio Ocampo & Norberto Rodríguez, 2011. "An Introductory Review of a Structural VAR-X Estimation and Applications," Borradores de Economia 686, Banco de la Republica de Colombia.
    22. Christiane Baumeister & James D. Hamilton, 2018. "Inference in Structural Vector Autoregressions when the Identifying Assumptions are not Fully Believed: Re-evaluating the Role of Monetary Policy in Economic Fluctuations," CESifo Working Paper Series 7048, CESifo.
    23. Gerald A. Carlino & Thorsten Drautzburg, 2017. "The Role of Startups for Local Labor Markets," Working Papers 17-31, Federal Reserve Bank of Philadelphia.
    24. Pooyan Amir‐Ahmadi & Christian Matthes & Mu‐Chun Wang, 2016. "Drifts and volatilities under measurement error: Assessing monetary policy shocks over the last century," Quantitative Economics, Econometric Society, vol. 7(2), pages 591-611, July.
    25. Christiane Baumeister & James D. Hamilton, 2015. "Sign Restrictions, Structural Vector Autoregressions, and Useful Prior Information," Econometrica, Econometric Society, vol. 83(5), pages 1963-1999, September.
    26. Sam Ouliaris & Adrian Pagan, 2022. "Three Basic Issues that Arise when Using Informational Restrictions in SVARs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(1), pages 1-20, February.
    27. Inoue, Atsushi & Kilian, Lutz, 2013. "Inference on impulse response functions in structural VAR models," Journal of Econometrics, Elsevier, vol. 177(1), pages 1-13.
    28. Jonas E. Arias & Juan F. Rubio-Ramirez & Minchul Shin, 2025. "A Gibbs Sampler for Efficient Bayesian Inference in Sign-Identified SVARs," Working Papers 25-19, Federal Reserve Bank of Philadelphia.
    29. Kocięcki, Andrzej, 2017. "Fully Bayesian Analysis of SVAR Models under Zero and Sign Restrictions," MPRA Paper 81094, University Library of Munich, Germany.
    30. James H. Stock, 2010. "The Other Transformation in Econometric Practice: Robust Tools for Inference," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 83-94, Spring.
    31. Molinari, Francesca, 2020. "Microeconometrics with partial identification," Handbook of Econometrics, in: Steven N. Durlauf & Lars Peter Hansen & James J. Heckman & Rosa L. Matzkin (ed.), Handbook of Econometrics, edition 1, volume 7, chapter 0, pages 355-486, Elsevier.
    32. Lukas Hoesch & Adam Lee & Geert Mesters, 2024. "Locally robust inference for non‐Gaussian SVAR models," Quantitative Economics, Econometric Society, vol. 15(2), pages 523-570, May.
    33. Matthew Read, 2023. "Estimating the Effects of Monetary Policy in Australia Using Sign‐restricted Structural Vector Autoregressions," The Economic Record, The Economic Society of Australia, vol. 99(326), pages 329-358, September.
    34. Fischer, Andreas & Greminger, Rafael P. & Grisse, Christian & Kaufmann, Sylvia, 2021. "Portfolio rebalancing in times of stress," CEPR Discussion Papers 15777, C.E.P.R. Discussion Papers.
    35. Pooyan Amir-Ahmadi & Thorsten Drautzburg, 2017. "Identification through Heterogeneity," CESifo Working Paper Series 6359, CESifo.
    36. Matthew Read, 2021. "Algorithms for Inference in SVARs Identified with Sign and Zero Restrictions," Papers 2109.10676, arXiv.org, revised Jan 2022.
    37. Danne, Christian, 2015. "VARsignR: Estimating VARs using sign restrictions in R," MPRA Paper 68429, University Library of Munich, Germany.
    38. Pooyan Amir-Ahmadi & Gustavo S. Cortes & Marc D. Weidenmier, 2020. "Regional Monetary Policies and the Great Depression," NBER Working Papers 26695, National Bureau of Economic Research, Inc.
    39. Thorsten Drautzburg & Jonathan H. Wright, 2021. "Refining Set-Identification in VARs through Independence," Working Papers 21-31, Federal Reserve Bank of Philadelphia.
    40. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2020. "Uncertain Identification," CeMMAP working papers CWP33/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    41. Helmut Lütkepohl & Aleksei Netsunajev, 2012. "Disentangling Demand and Supply Shocks in the Crude Oil Market: How to Check Sign Restrictions in Structural VARs," Discussion Papers of DIW Berlin 1195, DIW Berlin, German Institute for Economic Research.
    42. Atsushi Inoue & Lutz Kilian, 2019. "The Uniform Validity of Impulse Response Inference in Autoregressions," Working Papers 1908, Federal Reserve Bank of Dallas.
    43. Gregory Bauer & Eleonora Granziera, 2016. "Monetary Policy, Private Debt and Financial Stability Risks," Staff Working Papers 16-59, Bank of Canada.
    44. Diegel, Max & Nautz, Dieter, 2021. "Long-term inflation expectations and the transmission of monetary policy shocks: Evidence from a SVAR analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 130(C).
    45. Pérez-Forero, Fernando & Vega, Marco, 2014. "The Dynamic Effects of Interest Rates and Reserve Requirements," Working Papers 2014-018, Banco Central de Reserva del Perú.
    46. 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.
    47. Kilian, Lutz, 2011. "Structural Vector Autoregressions," CEPR Discussion Papers 8515, C.E.P.R. Discussion Papers.
    48. Raffaella Giacomini & Toru Kitagawa & Matthew Read, 2020. "Robust Bayesian inference in proxy SVARs," CeMMAP working papers CWP13/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    49. Njindan Iyke, Bernard, 2015. "Assessing the Effects of Housing Market Shocks on Output: The Case of South Africa," MPRA Paper 69610, University Library of Munich, Germany, revised 01 Feb 2016.
    50. Raffaella Giacomini & Toru Kitagawa, 2018. "Robust Bayesian inference for set-identified models," CeMMAP working papers CWP61/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    51. Rüth, Sebastian & Mayer, Eric & Scharler, Johann, 2014. "TFP and the Transmission of Shocks," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100549, Verein für Socialpolitik / German Economic Association.
    52. Jonas E. Arias & Juan F. Rubio-Ram'irez & Minchul Shin, 2025. "A Gibbs Sampler for Efficient Bayesian Inference in Sign-Identified SVARs," Papers 2505.23542, arXiv.org, revised May 2025.
    53. Matthew Read, 2022. "The Unit-effect Normalisation in Set-identified Structural Vector Autoregressions," RBA Research Discussion Papers rdp2022-04, Reserve Bank of Australia.
    54. Njindan Iyke, Bernard, 2016. "Are Monetary Policy Disturbances Important in Ghana? Some Evidence from Agnostic Identification," MPRA Paper 70205, University Library of Munich, Germany.
    55. IIBOSHI, Hirokuni & IWATA, Yasuharu, 2023. "The Nexus between Public Debt and the Government Spending Multiplier: Fiscal Adjustments Matter," MPRA Paper 116347, University Library of Munich, Germany.
    56. Keating, John W., 2013. "What do we learn from Blanchard and Quah decompositions of output if aggregate demand may not be long-run neutral?," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 203-217.
    57. 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.
    58. Gan‐Ochir Doojav & Davaasukh Damdinjav, 2023. "The macroeconomic effects of unconventional monetary policies in a commodity‐exporting economy: Evidence from Mongolia," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4627-4654, October.
    59. Matthew Read, 2024. "Sign Restrictions and Supply-demand Decompositions of Inflation," RBA Research Discussion Papers rdp2024-05, Reserve Bank of Australia.
    60. Liudas Giraitis & George Kapetanios & Konstantinos Theodoridis & Tony Yates, 2014. "Estimating time-varying DSGE models using minimum distance methods," Bank of England working papers 507, Bank of England.
    61. Paul Carrillo‐Maldonado, 2023. "Partial identification for growth regimes: The case of Latin American countries," Metroeconomica, Wiley Blackwell, vol. 74(3), pages 557-583, July.
    62. Pooyan Amir‐Ahmadi & Thorsten Drautzburg, 2021. "Identification and inference with ranking restrictions," Quantitative Economics, Econometric Society, vol. 12(1), pages 1-39, January.
    63. Breitenlechner, Max & Scharler, Johann, 2017. "Decomposing the U.S. Great Depression: How important were Loan Supply Shocks?," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168208, Verein für Socialpolitik / German Economic Association.
    64. Breitenlechner, Max & Nuutilainen, Riikka, 2019. "China's monetary policy and the loan market: How strong is the credit channel in China?," BOFIT Discussion Papers 15/2019, Bank of Finland Institute for Emerging Economies (BOFIT).
    65. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2017. "Shock Restricted Structural Vector-Autoregressions," NBER Working Papers 23225, National Bureau of Economic Research, Inc.
    66. John W. Keating, 2013. "What Do We Learn from Blanchard and Quah Decompositions If Aggregate Demand May Not be Long-Run Neutral?," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201302, University of Kansas, Department of Economics.
    67. Andreas Tryphonides, 2020. "Identifying Preferences when Households are Financially Constrained," Papers 2005.02010, arXiv.org, revised Feb 2023.
    68. 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).

  3. Gregory Bauer & Eleonora Granziera, 2016. "Monetary Policy, Private Debt and Financial Stability Risks," Staff Working Papers 16-59, Bank of Canada.

    Cited by:

    1. Mr. Andrea Pescatori & Stefan Laseen, 2016. "Financial Stability and Interest-Rate Policy: A Quantitative Assessment of Costs and Benefits," IMF Working Papers 2016/073, International Monetary Fund.
    2. Paolo Gelain & Kevin J. Lansing & Gisele J. Natvik, 2017. "Leaning Against the Credit Cycle," Working Paper Series 2017-18, Federal Reserve Bank of San Francisco.
    3. Ragna Alstadheim & Ørjan Robstad & Nikka Husom Vonen, 2017. "Financial imbalances, crisis probability and monetary policy in Norway," Working Paper 2017/21, Norges Bank.
    4. Cyril Couaillier & Valerio Scalone, 2020. "How does Financial Vulnerability amplify Housing and Credit Shocks?," Working papers 763, Banque de France.
    5. Andreas Fagereng & Magnus A. H. Gulbrandsen & Martin B. Holm & Gisle J. Natvik, 2021. "How does monetary policy affect household indebtedness?," Working Paper 2021/5, Norges Bank.
    6. Schularick, Moritz & ter Steege, Lucas & Ward, Felix, 2020. "Leaning against the wind and crisis risk," CEPR Discussion Papers 14797, C.E.P.R. Discussion Papers.
    7. Grégory Levieuge, 2018. "La politique monétaire doit-elle être utilisée à des fins de stabilité financière ?," Post-Print hal-03530128, HAL.
    8. Bruno Albuquerque, 2019. "One Size Fits All? Monetary Policy and Asymmetric Household Debt Cycles in U.S. States," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(5), pages 1309-1353, August.
    9. Kimundi, Gillian, 2022. "COVID-19, policy interventions, credit vulnerabilities and financial (in)stability," KBA Centre for Research on Financial Markets and Policy Working Paper Series 62, Kenya Bankers Association (KBA).
    10. Schüler, Yves S. & Hiebert, Paul P. & Peltonen, Tuomas A., 2020. "Financial cycles: Characterisation and real-time measurement," Journal of International Money and Finance, Elsevier, vol. 100(C).
    11. Boris Hofmann & Gert Peersman, 2017. "Is there a debt service channel of monetary transmission?," BIS Quarterly Review, Bank for International Settlements, December.
    12. Svensson, Lars E.O., 2017. "Leaning Against the Wind: Costs and Benefits, Effects on Debt, Leaning in DSGE Models, and a Framework for Comparison of Result," CEPR Discussion Papers 12226, C.E.P.R. Discussion Papers.
    13. Deimantė Teresienė & Greta Keliuotytė-Staniulėnienė & Rasa Kanapickienė, 2021. "Sustainable Economic Growth Support through Credit Transmission Channel and Financial Stability: In the Context of the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(5), pages 1-34, March.
    14. Alpanda, Sami & Zubairy, Sarah, 2017. "Addressing household indebtedness: Monetary, fiscal or macroprudential policy?," European Economic Review, Elsevier, vol. 92(C), pages 47-73.
    15. B M, Lithin & chakraborty, Suman & iyer, Vishwanathan & M N, Nikhil & ledwani, Sanket, 2022. "Modeling asymmetric sovereign bond yield volatility with univariate GARCH models: Evidence from India," MPRA Paper 117067, University Library of Munich, Germany, revised 05 Jan 2023.
    16. Dominika Ehrenbergerova & Josef Bajzik & Tomas Havranek, 2023. "When Does Monetary Policy Sway House Prices? A Meta-Analysis," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(2), pages 538-573, June.
    17. Jordà, Òscar & Schularick, Moritz & Taylor, Alan M., 2020. "The effects of quasi-random monetary experiments," Journal of Monetary Economics, Elsevier, vol. 112(C), pages 22-40.
    18. Jianxu Liu & Quanrui Song & Yang Qi & Sanzidur Rahman & Songsak Sriboonchitta, 2020. "Measurement of Systemic Risk in Global Financial Markets and Its Application in Forecasting Trading Decisions," Sustainability, MDPI, vol. 12(10), pages 1-15, May.
    19. J. Boeckx & M. de Sola Perea & M. Deroose & G. de Walque & Th. Lejeune & Ch. Van Nieuwenhuyse, 2018. "What will happen when interest rates go up?," Economic Review, National Bank of Belgium, issue iii, pages 35-56, september.
    20. Gabor Katay & Lisa Kerdelhué & Matthieu Lequien, 2020. "Semi-Structural VAR and Unobserved Components Models to Estimate Finance-Neutral Output Gap," JRC Working Papers in Economics and Finance 2020-11, Joint Research Centre, European Commission.
    21. Lars E.O. Svensson, 2016. "Cost-Benefit Analysis of Leaning Against the Wind," NBER Working Papers 21902, National Bureau of Economic Research, Inc.
    22. Trent Saunders & Peter Tulip, 2019. "Cost-benefit Analysis of Leaning against the Wind," RBA Research Discussion Papers rdp2019-05, Reserve Bank of Australia.
    23. Alpanda, Sami & Granziera, Eleonora & Zubairy, Sarah, 2019. "State dependence of monetary policy across business, credit and interest rate cycles," Working Paper 2019/21, Norges Bank.
    24. Svensson, Lars E. O., 2017. "How robust is the result that the cost of "leaning against the wind" exceeds the benefit?," Working Paper Series 2031, European Central Bank.
    25. François Gourio & Anil K. Kashyap & Jae W. Sim, 2017. "The Tradeoffs in Leaning Against the Wind," Working Paper Series WP-2017-21, Federal Reserve Bank of Chicago.
    26. Thibaut Duprey & Alexander Ueberfeldt, 2018. "How to Manage Macroeconomic and Financial Stability Risks: A New Framework," Staff Analytical Notes 2018-11, Bank of Canada.
    27. Uwe Vollmer, 2022. "Monetary policy or macroprudential policies: What can tame the cycles?," Journal of Economic Surveys, Wiley Blackwell, vol. 36(5), pages 1510-1538, December.
    28. Schüler, Yves S., 2018. "On the cyclical properties of Hamilton's regression filter," Discussion Papers 03/2018, Deutsche Bundesbank.
    29. Schüler, Yves S., 2018. "Detrending and financial cycle facts across G7 countries: mind a spurious medium term!," Working Paper Series 2138, European Central Bank.
    30. Svensson, Lars E.O., 2017. "How Robust Is the Result That the Cost of "Leaning Against the Wind" Exceeds the Benefit? Response to Adrian and Liang," CEPR Discussion Papers 11744, C.E.P.R. Discussion Papers.
    31. Khuderchuluun Batsukh & Nicolas Groshenny & Naveed Javed, 2025. "Monetary Policy Transmission and Household Indebtedness in Australia," CAMA Working Papers 2025-13, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    32. Warapong Wongwachara & Bovonvich Jindarak & Nuwat Nookhwun & Sophon Tunyavetchakit & Chutipha Klungjaturavet, 2018. "Integrating Monetary Policy and Financial Stability: A New Framework," PIER Discussion Papers 100, Puey Ungphakorn Institute for Economic Research.

  4. Hubrich, Kirstin & Granziera, Eleonora & Moon, Hyungsik Roger, 2013. "A predictability test for a small number of nested models," Working Paper Series 1580, European Central Bank.

    Cited by:

    1. Granziera, Eleonora & Sekhposyan, Tatevik, 2019. "Predicting relative forecasting performance: An empirical investigation," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1636-1657.
    2. Lee Tae-Hwy & Wang He & Xi Zhou & Zhang Ru, 2023. "Density Forecast of Financial Returns Using Decomposition and Maximum Entropy," Journal of Econometric Methods, De Gruyter, vol. 12(1), pages 57-83, January.
    3. Todd E. Clark & Michael W. McCracken, 2011. "Advances in forecast evaluation," Working Papers (Old Series) 1120, Federal Reserve Bank of Cleveland.
    4. Kirstin Hubrich & Frauke Skudelny, 2016. "Forecast Combination for Euro Area Inflation - A Cure in Times of Crisis?," Finance and Economics Discussion Series 2016-104, Board of Governors of the Federal Reserve System (U.S.).
    5. Dichtl, Hubert & Drobetz, Wolfgang & Neuhierl, Andreas & Wendt, Viktoria-Sophie, 2021. "Data snooping in equity premium prediction," International Journal of Forecasting, Elsevier, vol. 37(1), pages 72-94.
    6. Daniel Borup & Martin Thyrsgaard, 2017. "Statistical tests for equal predictive ability across multiple forecasting methods," CREATES Research Papers 2017-19, Department of Economics and Business Economics, Aarhus University.

  5. Eleonora Granziera & Sharon Kozicki, 2012. "House Price Dynamics: Fundamentals and Expectations," Staff Working Papers 12-12, Bank of Canada.

    Cited by:

    1. Sami Alpanda & Gino Cateau & Césaire Meh, 2014. "A Policy Model to Analyze Macroprudential Regulations and Monetary Policy," Staff Working Papers 14-6, Bank of Canada.
    2. Zhong, Changbiao & Xie, Lijuan & Shi, Yu & Xu, Xiangyun, 2023. "Macro-prudential policy, its alignment with monetary policy and house price growth: A cross-country study," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 51-62.
    3. Paolo Gelain & Kevin J. Lansing, 2013. "House prices, expectations, and time-varying fundamentals," Working Paper 2013/05, Norges Bank.
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Articles

  1. Granziera, Eleonora & Sekhposyan, Tatevik, 2019. "Predicting relative forecasting performance: An empirical investigation," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1636-1657.
    See citations under working paper version above.
  2. Eleonora Granziera & Hyungsik Roger Moon & Frank Schorfheide, 2018. "Inference for VARs identified with sign restrictions," Quantitative Economics, Econometric Society, vol. 9(3), pages 1087-1121, November.
    See citations under working paper version above.
  3. Gregory H. Bauer & Eleonora Granziera, 2017. "Monetary Policy, Private Debt, and Financial Stability Risks," International Journal of Central Banking, International Journal of Central Banking, vol. 13(3), pages 337-373, September.
    See citations under working paper version above.
  4. Granziera, Eleonora & Kozicki, Sharon, 2015. "House price dynamics: Fundamentals and expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 60(C), pages 152-165.
    See citations under working paper version above.
  5. Granziera, Eleonora & Hubrich, Kirstin & Moon, Hyungsik Roger, 2014. "A predictability test for a small number of nested models," Journal of Econometrics, Elsevier, vol. 182(1), pages 174-185.
    See citations under working paper version above.
  6. Eleonora Granziera & Corinne Luu & Pierre St-Amant, 2013. "The Accuracy of Short-Term Forecast Combinations," Bank of Canada Review, Bank of Canada, vol. 2013(Summer), pages 13-21.

    Cited by:

    1. Antoine Mandel & Amir Sani, 2017. "A Machine Learning Approach to the Forecast Combination Puzzle," Working Papers halshs-01317974, HAL.
    2. Maxime Leboeuf & Louis Morel, 2014. "Forecasting Short-Term Real GDP Growth in the Euro Area and Japan Using Unrestricted MIDAS Regressions," Discussion Papers 14-3, Bank of Canada.
    3. Antoine Mandel & Amir Sani, 2016. "Learning Time-Varying Forecast Combinations," Documents de travail du Centre d'Economie de la Sorbonne 16036r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Sep 2016.
    4. Daniela Bragoli & Michele Modugno, 2016. "A Nowcasting Model for Canada: Do U.S. Variables Matter?," Finance and Economics Discussion Series 2016-036, Board of Governors of the Federal Reserve System (U.S.).
    5. Tony Chernis & Rodrigo Sekkel, 2018. "Nowcasting Canadian Economic Activity in an Uncertain Environment," Discussion Papers 18-9, Bank of Canada.

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