Molin Zhong
Personal Details
First Name: | Molin |
Middle Name: | |
Last Name: | Zhong |
Suffix: | |
RePEc Short-ID: | pzh1011 |
[This author has chosen not to make the email address public] | |
https://molinzhong.wixsite.com/home | |
Terminal Degree: | 2015 Department of Economics; University of Pennsylvania (from RePEc Genealogy) |
Affiliation
Federal Reserve Board (Board of Governors of the Federal Reserve System)
Washington, District of Columbia (United States)http://www.federalreserve.gov/
RePEc:edi:frbgvus (more details at EDIRC)
Research output
Jump to: Working papers ArticlesWorking papers
- Pablo Guerrón-Quintana & Alexey Khazanov & Molin Zhong, 2023. "Financial and Macroeconomic Data Through the Lens of a Nonlinear Dynamic Factor Model," Finance and Economics Discussion Series 2023-027, Board of Governors of the Federal Reserve System (U.S.).
- Dario Caldara & Chiara Scotti & Molin Zhong, 2021. "Macroeconomic and Financial Risks: A Tale of Mean and Volatility," International Finance Discussion Papers 1326, Board of Governors of the Federal Reserve System (U.S.).
- C Bora Durdu & Molin Zhong, 2021.
"Understanding bank and non-bank credit cycles: a structural exploration,"
BIS Working Papers
919, Bank for International Settlements.
- C. Bora Durdu & Molin Zhong, 2023. "Understanding Bank and Nonbank Credit Cycles: A Structural Exploration," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(1), pages 103-142, February.
- Bora Durdu & Molin Zhong, 2019. "Understanding Bank and Nonbank Credit Cycles: A Structural Exploration," Finance and Economics Discussion Series 2019-031, Board of Governors of the Federal Reserve System (U.S.).
- Pablo A. Cuba-Borda & Luca Guerrieri & Matteo Iacoviello & Molin Zhong, 2019.
"Likelihood Evaluation of Models with Occasionally Binding Constraints,"
Finance and Economics Discussion Series
2019-028, Board of Governors of the Federal Reserve System (U.S.).
- Pablo Cuba‐Borda & Luca Guerrieri & Matteo Iacoviello & Molin Zhong, 2019. "Likelihood evaluation of models with occasionally binding constraints," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(7), pages 1073-1085, November.
- Bora Durdu & Molin Zhong, 2018. "Macroeconomic implications of shadow banks: A DSGE analysis," 2018 Meeting Papers 482, Society for Economic Dynamics.
- Dong Jin Lee & Minchul Shin & Boyuan Zhang & Molin Zhong, 2017.
"Measuring International Uncertainty : The Case of Korea,"
Finance and Economics Discussion Series
2017-066, Board of Governors of the Federal Reserve System (U.S.).
- Shin, Minchul & Zhang, Boyuan & Zhong, Molin & Lee, Dong Jin, 2018. "Measuring international uncertainty: The case of Korea," Economics Letters, Elsevier, vol. 162(C), pages 22-26.
- Pablo Guerrón-Quintana & Molin Zhong, 2017.
"Macroeconomic Forecasting in Times of Crises,"
Finance and Economics Discussion Series
2017-018, Board of Governors of the Federal Reserve System (U.S.).
- Pablo Guerróon‐Quintana & Molin Zhong, 2023. "Macroeconomic forecasting in times of crises," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 295-320, April.
- Minchul Shin & Molin Zhong, 2016.
"A New Approach to Identifying the Real Effects of Uncertainty Shocks,"
Finance and Economics Discussion Series
2016-040, Board of Governors of the Federal Reserve System (U.S.).
- 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.
- Minchul Shin & Molin Zhong, 2015.
"Does Realized Volatility Help Bond Yield Density Prediction?,"
Finance and Economics Discussion Series
2015-115, Board of Governors of the Federal Reserve System (U.S.).
- Shin, Minchul & Zhong, Molin, 2017. "Does realized volatility help bond yield density prediction?," International Journal of Forecasting, Elsevier, vol. 33(2), pages 373-389.
- Minchul Shin & Molin Zhong, 2013. "Does realized volatility help bond yield density prediction?," PIER Working Paper Archive 13-064, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
Articles
- C. Bora Durdu & Molin Zhong, 2023.
"Understanding Bank and Nonbank Credit Cycles: A Structural Exploration,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(1), pages 103-142, February.
- Bora Durdu & Molin Zhong, 2019. "Understanding Bank and Nonbank Credit Cycles: A Structural Exploration," Finance and Economics Discussion Series 2019-031, Board of Governors of the Federal Reserve System (U.S.).
- C Bora Durdu & Molin Zhong, 2021. "Understanding bank and non-bank credit cycles: a structural exploration," BIS Working Papers 919, Bank for International Settlements.
- Pablo Guerróon‐Quintana & Molin Zhong, 2023.
"Macroeconomic forecasting in times of crises,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 295-320, April.
- Pablo Guerrón-Quintana & Molin Zhong, 2017. "Macroeconomic Forecasting in Times of Crises," Finance and Economics Discussion Series 2017-018, Board of Governors of the Federal Reserve System (U.S.).
- 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.
- Minchul Shin & Molin Zhong, 2016. "A New Approach to Identifying the Real Effects of Uncertainty Shocks," Finance and Economics Discussion Series 2016-040, Board of Governors of the Federal Reserve System (U.S.).
- Pablo Cuba‐Borda & Luca Guerrieri & Matteo Iacoviello & Molin Zhong, 2019.
"Likelihood evaluation of models with occasionally binding constraints,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(7), pages 1073-1085, November.
- Pablo A. Cuba-Borda & Luca Guerrieri & Matteo Iacoviello & Molin Zhong, 2019. "Likelihood Evaluation of Models with Occasionally Binding Constraints," Finance and Economics Discussion Series 2019-028, Board of Governors of the Federal Reserve System (U.S.).
- Shin, Minchul & Zhang, Boyuan & Zhong, Molin & Lee, Dong Jin, 2018.
"Measuring international uncertainty: The case of Korea,"
Economics Letters, Elsevier, vol. 162(C), pages 22-26.
- Dong Jin Lee & Minchul Shin & Boyuan Zhang & Molin Zhong, 2017. "Measuring International Uncertainty : The Case of Korea," Finance and Economics Discussion Series 2017-066, Board of Governors of the Federal Reserve System (U.S.).
- Shin, Minchul & Zhong, Molin, 2017.
"Does realized volatility help bond yield density prediction?,"
International Journal of Forecasting, Elsevier, vol. 33(2), pages 373-389.
- Minchul Shin & Molin Zhong, 2013. "Does realized volatility help bond yield density prediction?," PIER Working Paper Archive 13-064, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Minchul Shin & Molin Zhong, 2015. "Does Realized Volatility Help Bond Yield Density Prediction?," Finance and Economics Discussion Series 2015-115, Board of Governors of the Federal Reserve System (U.S.).
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
- Dario Caldara & Chiara Scotti & Molin Zhong, 2021.
"Macroeconomic and Financial Risks: A Tale of Mean and Volatility,"
International Finance Discussion Papers
1326, Board of Governors of the Federal Reserve System (U.S.).
Cited by:
- Boyarchenko, Nina & Adrian, Tobias & Giannone, Domenico, 2020.
"Multimodality in Macro-Financial Dynamics,"
CEPR Discussion Papers
15088, C.E.P.R. Discussion Papers.
- Tobias Adrian & Nina Boyarchenko & Domenico Giannone, 2019. "Multimodality in Macro-Financial Dynamics," Staff Reports 903, Federal Reserve Bank of New York.
- Tobias Adrian & Nina Boyarchenko & Domenico Giannone, 2021. "Multimodality In Macrofinancial Dynamics," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 861-886, May.
- Richard K. Crump & Stefano Eusepi & Domenico Giannone & Eric Qian & Argia M. Sbordone, 2021. "A Large Bayesian VAR of the United States Economy," Staff Reports 976, Federal Reserve Bank of New York.
- Pfarrhofer, Michael, 2022.
"Modeling tail risks of inflation using unobserved component quantile regressions,"
Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
- Michael Pfarrhofer, 2021. "Modeling tail risks of inflation using unobserved component quantile regressions," Papers 2103.03632, arXiv.org, revised Oct 2021.
- Danilo Cascaldi-Garcia & Cisil Sarisoy & Juan M. Londono & Bo Sun & Deepa D. Datta & Thiago Ferreira & Olesya Grishchenko & Mohammad R. Jahan-Parvar & Francesca Loria & Sai Ma & Marius Rodriguez & Ilk, 2023.
"What Is Certain about Uncertainty?,"
Journal of Economic Literature, American Economic Association, vol. 61(2), pages 624-654, June.
- Danilo Cascaldi-Garcia & Deepa Dhume Datta & Thiago Revil T. Ferreira & Olesya V. Grishchenko & Mohammad R. Jahan-Parvar & Juan M. Londono & Francesca Loria & Sai Ma & Marius del Giudice Rodriguez & J, 2020. "What is Certain about Uncertainty?," International Finance Discussion Papers 1294, Board of Governors of the Federal Reserve System (U.S.).
- Berger, Tino & Kempa, Bernd & Zou, Feina, 2023. "The role of macroeconomic uncertainty in the determination of the natural rate of interest," Economics Letters, Elsevier, vol. 229(C).
- Clark, Todd & Huber, Florian & Koop, Gary & Marcellino, Massimiliano & Pfarrhofer, Michael, 2022.
"Tail Forecasting with Multivariate Bayesian Additive Regression Trees,"
CEPR Discussion Papers
17461, C.E.P.R. Discussion Papers.
- Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2023. "Tail Forecasting With Multivariate Bayesian Additive Regression Trees," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 979-1022, August.
- Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2021. "Tail Forecasting with Multivariate Bayesian Additive Regression Trees," Working Papers 21-08R, Federal Reserve Bank of Cleveland, revised 12 Jul 2022.
- Boyarchenko, Nina & Adrian, Tobias & Giannone, Domenico, 2020.
"Multimodality in Macro-Financial Dynamics,"
CEPR Discussion Papers
15088, C.E.P.R. Discussion Papers.
- C Bora Durdu & Molin Zhong, 2021.
"Understanding bank and non-bank credit cycles: a structural exploration,"
BIS Working Papers
919, Bank for International Settlements.
- C. Bora Durdu & Molin Zhong, 2023. "Understanding Bank and Nonbank Credit Cycles: A Structural Exploration," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(1), pages 103-142, February.
- Bora Durdu & Molin Zhong, 2019. "Understanding Bank and Nonbank Credit Cycles: A Structural Exploration," Finance and Economics Discussion Series 2019-031, Board of Governors of the Federal Reserve System (U.S.).
Cited by:
- Jean-Guillaume Sahuc & Olivier de Bandt & Hibiki Ichiue & Bora Durdu & Yasin Mimir & Jolan Mohimont & Kalin Nikolov & Sigrid Roehrs & Valério Scalone & Michael Straughan, 2022.
"Assessing the Impact of Basel III: Evidence from Structural Macroeconomic Models,"
EconomiX Working Papers
2022-3, University of Paris Nanterre, EconomiX.
- Olivier de Bandt & Bora Durdu & Hibiki Ichiue & Yasin Mimir & Jolan Mohimont & Kalin Nikolov & Sigrid Roehrs & Jean-Guillaume Sahuc & Valerio Scalone & Michael Straughan, 2022. "Assessing the Impact of Basel III: Evidence from Structural Macroeconomic Models," Working papers 864, Banque de France.
- Hibiki Ichiue & Jean-Guillaume Sahuc & Yasin Mimir & Jolan Mohimont & Kalin Nikolov & Olivier de Bandt & Sigrid Roehrs & Valério Scalone & Michael Straughan & Bora Durdu, 2022. "Assessing the Impact of Basel III: Evidence from Structural Macroeconomic Models," Working Papers hal-04159816, HAL.
- Olivier de Bandt & Bora Durdu & Hibiki Ichiue & Yasin Mimir & Jolan Mohimont & Kalin Nikolov & Sigrid Roehrs & Jean-Guillaume Sahuc & Valério Scalone & Michael Straughan, 2024.
"Assessing the Impact of Basel III: Review of Transmission Channels and Insights from Policy Models,"
Post-Print
hal-04459638, HAL.
- Olivier de Bandt & Bora Durdu & Hibiki Ichiue & Yasin Mimir & Jolan Mohimont & Kalin Nikolov & Sigrid Roehrs & Jean-Guillaume Sahuc & Valerio Scalone & Michael Straughan, 2024. "Assessing the Impact of Basel III: Review of Transmission Channels and Insights from Policy Models," International Journal of Central Banking, International Journal of Central Banking, vol. 20(1), pages 1-52, February.
- Richard Simmons, 2024. "Monetary Transmission & Small Firm Credit Rationing: The Stablecoin Opportunity to Raise Business Credit Flows," FinTech, MDPI, vol. 3(3), pages 1-28, August.
- Pablo A. Cuba-Borda & Luca Guerrieri & Matteo Iacoviello & Molin Zhong, 2019.
"Likelihood Evaluation of Models with Occasionally Binding Constraints,"
Finance and Economics Discussion Series
2019-028, Board of Governors of the Federal Reserve System (U.S.).
- Pablo Cuba‐Borda & Luca Guerrieri & Matteo Iacoviello & Molin Zhong, 2019. "Likelihood evaluation of models with occasionally binding constraints," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(7), pages 1073-1085, November.
Cited by:
- Schorfheide, Frank & Aruoba, Boragan & Cuba-Borda, Pablo & Hilga-Flores, Kenji & Villalvazo, Sergio, 2020.
"Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints,"
CEPR Discussion Papers
15388, C.E.P.R. Discussion Papers.
- S. Boragan Aruoba & Pablo Cuba-Borda & Kenji Higa-Flores & Frank Schorfheide & Sergio Villalvazo, 2020. "Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints," PIER Working Paper Archive 20-037, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- S. Boragan Aruoba & Pablo A. Cuba-Borda & Kenji Higa-Flores & Frank Schorfheide & Sergio Villalvazo, 2020. "Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints," International Finance Discussion Papers 1272, Board of Governors of the Federal Reserve System (U.S.).
- S. Bogan Aruoba & Pablo Cuba-Borda & Kenji Higa-Flores & Frank Schorfheide & Sergio Villalvazo, 2021. "Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 41, pages 96-120, July.
- S. Borağan Aruoba & Pablo Cuba-Borda & Kenji Higa-Flores & Frank Schorfheide & Sergio Villalvazo, 2020. "Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints," NBER Working Papers 27991, National Bureau of Economic Research, Inc.
- S. Boragan Aruoba & Pablo A. Cuba-Borda & Kenji Higa-Flores & Frank Schorfheide & Sergio Villalvazo, 2020. "Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints," Working Papers 20-13, Federal Reserve Bank of Philadelphia.
- Gregor Boehl & Gavin Goy & Felix Strobel, 2020.
"A Structural Investigation of Quantitative Easing,"
CRC TR 224 Discussion Paper Series
crctr224_2020_193, University of Bonn and University of Mannheim, Germany.
- Gregor Boehl & Gavin Goy & Felix Strobel, 2020. "A Structural Investigation of Quantitative Easing," Working Papers 691, DNB.
- Böhl, Gregor & Goy, Gavin & Strobel, Felix, 2020. "A structural investigation of quantitative easing," IMFS Working Paper Series 142, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
- Böhl, Gregor & Goy, Gavin & Strobel, Felix, 2021. "A structural investigation of quantitative easing," Discussion Papers 01/2021, Deutsche Bundesbank.
- Gregor Boehl & Gavin Goy & Felix Strobel, 2024. "A Structural Investigation of Quantitative Easing," The Review of Economics and Statistics, MIT Press, vol. 106(4), pages 1028-1044, July.
- Eric Jondeau & Grégory Levieuge & Jean-Guillaume Sahuc & Gauthier Vermandel, 2023. "Environmental Subsidies to Mitigate Net-Zero Transition Costs," Working papers 910, Banque de France.
- Eric Jondeau & Grégory Levieuge & Jean-Guillaume Sahuc & Gauthier Vermandel, 2022.
"Environmental Subsidies to Mitigate Transition risk,"
Working Papers
hal-04159804, HAL.
- Eric Jondeau & Grégory Levieuge & Jean-Guillaume Sahuc & Gauthier Vermandel, 2022. "Environmental Subsidies to Mitigate Transition risk," EconomiX Working Papers 2022-21, University of Paris Nanterre, EconomiX.
- Eric Jondeau & Gregory Levieuge & Jean-Guillaume Sahuc & Gauthier Vermandel, 2022. "Environmental Subsidies to Mitigate Transition Risk," Swiss Finance Institute Research Paper Series 22-45, Swiss Finance Institute.
- Gianluca Benigno & Andrew Foerster & Christopher Otrok & Alessandro Rebucci, 2020.
"Estimating Macroeconomic Models of Financial Crises: An Endogenous Regime-Switching Approach,"
NBER Working Papers
26935, National Bureau of Economic Research, Inc.
- Gianluca Benigno & Andrew T. Foerster & Christopher Otrok & Alessandro Rebucci, 2020. "Estimating Macroeconomic Models of Financial Crises: An Endogenous Regime-Switching Approach," Staff Reports 944, Federal Reserve Bank of New York.
- Rebucci, Alessandro & Benigno, Gianluca & Foerster, Andrew & Otrok, Christopher, 2020. "Estimating Macroeconomic Models of Financial Crises: An Endogenous Regime-Switching Approach," CEPR Discussion Papers 14545, C.E.P.R. Discussion Papers.
- Gianluca Benigno & Andrew Foerster & Christopher Otrok & Alessandro Rebucci, 2020. "Estimating Macroeconomic Models of Financial Crises: An Endogenous Regime-Switching Approach," Working Paper Series 2020-10, Federal Reserve Bank of San Francisco.
- Christopher Otrok & Andrew Foerster & Alessandro Rebucci & Gianluca Benigno, 2017. "Estimating Macroeconomic Models of Financial Crises: An Endogenous Regime Switching Approach," 2017 Meeting Papers 572, Society for Economic Dynamics.
- Stéphane Adjemian & Houtan Bastani & Michel Juillard & Frédéric Karamé & Ferhat Mihoubi & Willi Mutschler & Johannes Pfeifer & Marco Ratto & Sébastien Villemot & Normann Rion, 2023.
"Dynare: Reference Manual Version 5,"
PSE Working Papers
hal-04219920, HAL.
- Stéphane Adjemian & Houtan Bastani & Michel Juillard & Frédéric Karamé & Ferhat Mihoubi & Willi Mutschler & Johannes Pfeifer & Marco Ratto & Sébastien Villemot & Normann Rion, 2023. "Dynare: Reference Manual Version 5," Working Papers hal-04219920, HAL.
- Adjemian, Stéphane & Bastani, Houtan & Juillard, Michel & Karamé, Fréderic & Mihoubi, Ferhat & Mutschler, Willi & Pfeifer, Johannes & Ratto, Marco & Rion, Normann & Villemot, Sébastien, 2022. "Dynare: Reference Manual Version 5," Dynare Working Papers 72, CEPREMAP, revised Mar 2023.
- Adjemian, Stéphane & Juillard, Michel & Karamé, Fréderic & Mutschler, Willi & Pfeifer, Johannes & Ratto, Marco & Rion, Normann & Villemot, Sébastien, 2024. "Dynare: Reference Manual, Version 6," Dynare Working Papers 80, CEPREMAP, revised Sep 2024.
- Böhl, Gregor, 2021.
"Efficient solution and computation of models with occasionally binding constraints,"
IMFS Working Paper Series
148, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
- Gregor Boehl, 2021. "Efficient Solution and Computation of Models With Occasionally Binding Constraints," CRC TR 224 Discussion Paper Series crctr224_2021_253, University of Bonn and University of Mannheim, Germany.
- Boehl, Gregor, 2022. "Efficient solution and computation of models with occasionally binding constraints," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
- 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.
- S. Bogan Aruoba & Pablo Cuba-Borda & Kenji Higa-Flores & Frank Schorfheide & Sergio Villalvazo, 2021. "Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 41, pages 96-120, July.
- Mølbak Ingholt, Marcus, 2022. "Multiple Credit Constraints and Time-Varying Macroeconomic Dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
- Boehl, Gregor & Strobel, Felix, 2024.
"Estimation of DSGE models with the effective lower bound,"
Journal of Economic Dynamics and Control, Elsevier, vol. 158(C).
- Gregor Boehl, Felix Strobel, 2022. "Estimation of DSGE Models With the Effective Lower Bound," CRC TR 224 Discussion Paper Series crctr224_2022_356, University of Bonn and University of Mannheim, Germany.
- Damioli, Giacomo & Gregori, Wildmer Daniel, 2021. "Diplomatic relations and cross-border investments in the European Union," Working Papers 2021-02, Joint Research Centre, European Commission.
- Massimo Ferrari Minesso & Maria Sole Pagliari, 2022. "DSGE Nash: solving Nash Games in Macro Models With an application to optimal monetary policy under monopolistic commodity pricing," Working papers 884, Banque de France.
- Donggyu Lee, 2024. "Quantitative Easing and Inequality," Staff Reports 1108, Federal Reserve Bank of New York.
- Giovannini, Massimo & Pfeiffer, Philipp & Ratto, Marco, 2021. "Efficient and robust inference of models with occasionally binding constraints," Working Papers 2021-03, Joint Research Centre, European Commission.
- Ferrari Minesso, Massimo & Pagliari, Maria Sole, 2022. "DSGE Nash: solving Nash games in macro models," Working Paper Series 2678, European Central Bank.
- : Dubois, Loick & Sahuc, Jean-Guillaume & Vermandel, Gauthier, 2024. "A General Equilibrium Approach to Carbon Permit Banking," Single Market Economics Papers WP2024/20, Directorate-General for Internal Market, Industry, Entrepreneurship and SMEs (European Commission), Chief Economist Team.
- Calo, Silvia & Gregori, Wildmer Daniel & Petracco Giudici, Marco & Rancan, Michela, 2021. "Has the Comprehensive Assessment made the European financial system more resilient?," Working Papers 2021-08, Joint Research Centre, European Commission.
- Dong Jin Lee & Minchul Shin & Boyuan Zhang & Molin Zhong, 2017.
"Measuring International Uncertainty : The Case of Korea,"
Finance and Economics Discussion Series
2017-066, Board of Governors of the Federal Reserve System (U.S.).
- Shin, Minchul & Zhang, Boyuan & Zhong, Molin & Lee, Dong Jin, 2018. "Measuring international uncertainty: The case of Korea," Economics Letters, Elsevier, vol. 162(C), pages 22-26.
Cited by:
- Liang, Chin Chia & Troy, Carol & Rouyer, Ellen, 2020. "U.S. uncertainty and Asian stock prices: Evidence from the asymmetric NARDL model," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
- Cho, Dooyeon & Kim, Husang, 2023. "Macroeconomic effects of uncertainty shocks: Evidence from Korea," Journal of Asian Economics, Elsevier, vol. 84(C).
- Sangyup Choi & Myungkyu Shim, 2019.
"Financial vs. Policy Uncertainty in Emerging Market Economies,"
Open Economies Review, Springer, vol. 30(2), pages 297-318, April.
- Sangyup Choi & Myungkyu Shim, 2018. "Financial vs. Policy Uncertainty in Emerging Market Economies," Working papers 2018rwp-116, Yonsei University, Yonsei Economics Research Institute.
- Tran, Quoc Trung, 2020. "Creditor protection, shareholder protection and investment efficiency: New evidence," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
- Avellán, Guillermo & González-Astudillo, Manuel & Salcedo, Juan José, 2020. "A Streamlined Procedure to Construct a Macroeconomic Uncertainty Index with an Application to the Ecuadorian Economy," MPRA Paper 102593, University Library of Munich, Germany.
- Park, Jin Seok & Suh, Donghyun, 2019. "Uncertainty and household portfolio choice : Evidence from South Korea," Economics Letters, Elsevier, vol. 180(C), pages 21-24.
- Quoc Trung Tran, 2020. "Corporate cash holdings and financial crisis: new evidence from an emerging market," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 10(2), pages 271-285, June.
- Serdar Ongan & Ismet Gocer, 2022. "Japan-US bilateral commodity-level trade and trade policy-related uncertainty under the COVID-19 pandemic: the nonlinear ARDL model," Economic Change and Restructuring, Springer, vol. 55(3), pages 1397-1418, August.
- Youngjoon Lee & Soohyon Kim & Ki Young Park, 2018. "Deciphering Monetary Policy Committee Minutes with Text Mining Approach: A Case of South Korea," Working papers 2018rwp-132, Yonsei University, Yonsei Economics Research Institute.
- Ioannis Dokas & Georgios Oikonomou & Minas Panagiotidis & Eleftherios Spyromitros, 2023. "Macroeconomic and Uncertainty Shocks’ Effects on Energy Prices: A Comprehensive Literature Review," Energies, MDPI, vol. 16(3), pages 1-35, February.
- Aviral Kumar Tiwari & Muhammad Ali Nasir & Muhammad Shahbaz, 2021. "Synchronisation of policy related uncertainty, financial stress and economic activity in the United States," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 6406-6415, October.
- Śmiech, Sławomir & Papież, Monika & Dąbrowski, Marek A., 2019. "How important are different aspects of uncertainty in driving industrial production in the CEE countries?," Research in International Business and Finance, Elsevier, vol. 50(C), pages 252-266.
- Tran, Quoc Trung, 2021. "Economic policy uncertainty and cost of debt financing: International evidence," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
- Ogbuabor, Jonathan E. & Ukwueze, Ezebuilo R. & Mba, Ifeoma C. & Ojonta, Obed I. & Orji, Anthony, 2023. "The asymmetric impact of economic policy uncertainty on global retail energy markets: Are the markets responding to the fear of the unknown?," Applied Energy, Elsevier, vol. 334(C).
- Kevin Larcher & Jaebeom Kim & Youngju Kim, 2019.
"Uncertainty shocks and asymmetric dynamics in Korea: a non-linear approach,"
Applied Economics, Taylor & Francis Journals, vol. 51(6), pages 594-610, February.
- Kevin Larcher & Jaebeom Kim & Youngju Kim, 2018. "Uncertainty Shocks and Asymmetric Dynamics in Korea: A Nonlinear Approach," Working Papers 2018-12, Economic Research Institute, Bank of Korea.
- Lin Liu, 2022. "Economic Uncertainty and Exchange Market Pressure: Evidence From China," SAGE Open, , vol. 12(1), pages 21582440211, January.
- Bukalska Elżbieta & Maziarczyk Anna, 2023. "Impact of financial constraints and financial distress on cash holdings," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 59(1), pages 13-31, March.
- Guillermo Avellán & Manuel González-Astudillo & Juan José Salcedo Cruz, 2022. "Measuring uncertainty: A streamlined application for the Ecuadorian economy," Empirical Economics, Springer, vol. 62(4), pages 1517-1542, April.
- Hwang, So Jung & Suh, Hyunduk, 2021. "Overall and time-varying effects of global and domestic uncertainty on the Korean economy," Journal of Asian Economics, Elsevier, vol. 76(C).
- Pablo Guerrón-Quintana & Molin Zhong, 2017.
"Macroeconomic Forecasting in Times of Crises,"
Finance and Economics Discussion Series
2017-018, Board of Governors of the Federal Reserve System (U.S.).
- Pablo Guerróon‐Quintana & Molin Zhong, 2023. "Macroeconomic forecasting in times of crises," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 295-320, April.
Cited by:
- KANAZAWA, Nobuyuki & 金澤, 伸幸, 2018.
"Radial Basis Functions Neural Networks for Nonlinear Time Series Analysis and Time-Varying Effects of Supply Shocks,"
Discussion paper series
HIAS-E-64, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
- Kanazawa, Nobuyuki, 2020. "Radial basis functions neural networks for nonlinear time series analysis and time-varying effects of supply shocks," Journal of Macroeconomics, Elsevier, vol. 64(C).
- Marcellino, Massimiliano & Kapetanios, George & Dendramis, Yiannis, 2020.
"A Similarity-based Approach for Macroeconomic Forecasting,"
CEPR Discussion Papers
14469, C.E.P.R. Discussion Papers.
- Y. Dendramis & G. Kapetanios & M. Marcellino, 2020. "A similarity‐based approach for macroeconomic forecasting," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 801-827, June.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2024.
"Addressing COVID-19 Outliers in BVARs with Stochastic Volatility,"
The Review of Economics and Statistics, MIT Press, vol. 106(5), pages 1403-1417, September.
- Marcellino, Massimiliano & Clark, Todd & Carriero, Andrea & Mertens, Elmar, 2021. "Addressing COVID-19 Outliers in BVARs with Stochastic Volatility," CEPR Discussion Papers 15964, C.E.P.R. Discussion Papers.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2021. "Addressing COVID-19 Outliers in BVARs with Stochastic Volatility," Working Papers 21-02R, Federal Reserve Bank of Cleveland, revised 09 Aug 2021.
- Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano & Mertens, Elmar, 2022. "Addressing COVID-19 outliers in BVARs with stochastic volatility," Discussion Papers 13/2022, Deutsche Bundesbank.
- 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.
- Rossi, Barbara, 2020. "Forecasting in the Presence of Instabilities: How Do We Know Whether Models Predict Well and How to Improve Them," CEPR Discussion Papers 14472, C.E.P.R. Discussion Papers.
- Barbara Rossi, 2019. "Forecasting in the Presence of Instabilities: How Do We Know Whether Models Predict Well and How to Improve Them," Working Papers 1162, Barcelona School of Economics.
- Manuel Paquette-Dupuis & Dalibor Stevanovic & Rachidi Kotchoni, 2019. "Prévisions de l’activité économique en temps de crise," CIRANO Project Reports 2019rp-04, CIRANO.
- Minchul Shin & Molin Zhong, 2016.
"A New Approach to Identifying the Real Effects of Uncertainty Shocks,"
Finance and Economics Discussion Series
2016-040, Board of Governors of the Federal Reserve System (U.S.).
- 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.
Cited by:
- Joshua C. C. Chan & Xuewen Yu, 2022.
"Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility,"
Papers
2206.08438, arXiv.org.
- Chan, Joshua C.C. & Yu, Xuewen, 2022. "Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
- Joshua C.C. Chan & Xuewen Yu, 2020. "Fast and accurate variational inference for large Bayesian VARs with stochastic volatility," CAMA Working Papers 2020-108, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2018.
"Measuring Uncertainty and Its Impact on the Economy,"
The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 799-815, December.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2016. "Measuring Uncertainty and Its Impact on the Economy," BAFFI CAREFIN Working Papers 1639, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
- Andrea Carriero & Todd E. Clark & Marcellino Massimiliano, 2016. "Measuring Uncertainty and Its Impact on the Economy," Working Papers (Old Series) 1622, Federal Reserve Bank of Cleveland.
- Hernández Vega Marco A., 2021. "The Nonlinear Effect of Uncertainty in Portfolio Flows to Mexico," Working Papers 2021-11, Banco de México.
- Olli Palm'en, 2022. "Macroeconomic Effect of Uncertainty and Financial Shocks: a non-Gaussian VAR approach," Papers 2202.10834, arXiv.org.
- Mawuli Segnon & Rangan Gupta & Stelios Bekiros & Mark E. Wohar, 2018.
"Forecasting US GNP growth: The role of uncertainty,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(5), pages 541-559, August.
- Mawuli Segnon & Rangan Gupta & Stelios Bekiros & Mark E. Wohar, 2016. "Forecasting US GNP Growth: The Role of Uncertainty," Working Papers 201667, University of Pretoria, Department of Economics.
- 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.
- Shin, Minchul & Zhang, Boyuan & Zhong, Molin & Lee, Dong Jin, 2018.
"Measuring international uncertainty: The case of Korea,"
Economics Letters, Elsevier, vol. 162(C), pages 22-26.
- Dong Jin Lee & Minchul Shin & Boyuan Zhang & Molin Zhong, 2017. "Measuring International Uncertainty : The Case of Korea," Finance and Economics Discussion Series 2017-066, Board of Governors of the Federal Reserve System (U.S.).
- Danilo Cascaldi-Garcia & Ana Beatriz Galvao, 2018.
"News and Uncertainty Shocks,"
International Finance Discussion Papers
1240, Board of Governors of the Federal Reserve System (U.S.).
- Danilo Cascaldi‐Garcia & Ana Beatriz Galvao, 2021. "News and Uncertainty Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(4), pages 779-811, June.
- Härtl, Tilmann, 2022. "Identifying Proxy VARs with Restrictions on the Forecast Error Variance," VfS Annual Conference 2022 (Basel): Big Data in Economics 264071, Verein für Socialpolitik / German Economic Association.
- Danilo Cascaldi-Garcia & Cisil Sarisoy & Juan M. Londono & Bo Sun & Deepa D. Datta & Thiago Ferreira & Olesya Grishchenko & Mohammad R. Jahan-Parvar & Francesca Loria & Sai Ma & Marius Rodriguez & Ilk, 2023.
"What Is Certain about Uncertainty?,"
Journal of Economic Literature, American Economic Association, vol. 61(2), pages 624-654, June.
- Danilo Cascaldi-Garcia & Deepa Dhume Datta & Thiago Revil T. Ferreira & Olesya V. Grishchenko & Mohammad R. Jahan-Parvar & Juan M. Londono & Francesca Loria & Sai Ma & Marius del Giudice Rodriguez & J, 2020. "What is Certain about Uncertainty?," International Finance Discussion Papers 1294, Board of Governors of the Federal Reserve System (U.S.).
- Laura E. Jackson & Kevin L. Kliesen & Michael T. Owyang, 2018.
"The Nonlinear Effects of Uncertainty Shocks,"
Working Papers
2018-035, Federal Reserve Bank of St. Louis.
- Jackson Laura E. & Kliesen Kevin L. & Owyang Michael T., 2020. "The nonlinear effects of uncertainty shocks," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-19, September.
- Boyan Jovanovic & Sai Ma, 2020.
"Uncertainty and Growth Disasters,"
NBER Working Papers
28024, National Bureau of Economic Research, Inc.
- Boyan Jovanovic & Sai Ma, 2020. "Uncertainty and Growth Disasters," International Finance Discussion Papers 1279, Board of Governors of the Federal Reserve System (U.S.).
- Boyan Jovanovic & Sai Ma, 2022. "Uncertainty and Growth Disasters," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 44, pages 33-64, April.
- Arias, Jonas E. & Rubio-Ramírez, Juan F. & Shin, Minchul, 2023.
"Macroeconomic forecasting and variable ordering in multivariate stochastic volatility models,"
Journal of Econometrics, Elsevier, vol. 235(2), pages 1054-1086.
- Jonas E. Arias & Juan F. Rubio-Ramirez & Minchul Shin, 2021. "Macroeconomic Forecasting and Variable Ordering in Multivariate Stochastic Volatility Models," Working Papers 21-21, Federal Reserve Bank of Philadelphia.
- Maria Elena Bontempi & Michele Frigeri & Roberto Golinelli & Matteo Squadrani, 2021. "EURQ: A New Web Search‐based Uncertainty Index," Economica, London School of Economics and Political Science, vol. 88(352), pages 969-1015, October.
- María T. González-Pérez, 2021. "Lessons from estimating the average option-implied volatility term structure for the Spanish banking sector," Working Papers 2128, Banco de España.
- Danilo Cascaldi-Garcia, 2017. "Amplification effects of news shocks through uncertainty," 2017 Papers pca1251, Job Market Papers.
- Josué Diwambuena & Jean-Paul K. Tsasa, 2021. "The Real Effects of Uncertainty Shocks: New Evidence from Linear and Nonlinear SVAR Models," BEMPS - Bozen Economics & Management Paper Series BEMPS87, Faculty of Economics and Management at the Free University of Bozen.
- Helena Chuliá & Rangan Gupta & Jorge M. Uribe & Mark E. Wohar, 2016.
"Impact of US Uncertainties on Emerging and Mature Markets: Evidence from a Quantile-Vector Autoregressive Approach,"
Working Papers
201656, University of Pretoria, Department of Economics.
- Chuliá, Helena & Gupta, Rangan & Uribe, Jorge M. & Wohar, Mark E., 2017. "Impact of US uncertainties on emerging and mature markets: Evidence from a quantile-vector autoregressive approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 48(C), pages 178-191.
- Philippe Goulet Coulombe & Mikael Frenette & Karin Klieber, 2023. "From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks," Papers 2311.16333, arXiv.org, revised Apr 2024.
- Rangan Gupta & Chi Keung Marco Lau & Mark E. Wohar, 2016.
"The Impact of US Uncertainty on the Euro Area in Good and Bad Times: Evidence from a Quantile Structural Vector Autoregressive Model,"
Working Papers
201681, University of Pretoria, Department of Economics.
- Rangan Gupta & Chi Keung Marco Lau & Mark E. Wohar, 2019. "The impact of US uncertainty on the Euro area in good and bad times: evidence from a quantile structural vector autoregressive model," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(2), pages 353-368, May.
- Mario Forni & Luca Gambetti & Nicolò Maffei-Faccioli & Luca Sala, 2023. "The impact of financial shocks on the forecast distribution of output and inflation," Working Paper 2023/3, Norges Bank.
- Awijen, Haithem & Ben Zaied, Younes & Nguyen, Duc Khuong & Sensoy, Ahmet, 2020. "Endogenous Financial Uncertainty and Macroeconomic Volatility: Evidence from the United States," MPRA Paper 101276, University Library of Munich, Germany, revised Jun 2020.
- Laurent Ferrara & Stéphane Lhuissier & Fabien Tripier, 2018.
"Uncertainty Fluctuations: Measures, Effects and Macroeconomic Policy Challenges,"
Financial and Monetary Policy Studies, in: Laurent Ferrara & Ignacio Hernando & Daniela Marconi (ed.), International Macroeconomics in the Wake of the Global Financial Crisis, pages 159-181,
Springer.
- Laurent Ferrara & Stéphane Lhuissier & Fabien Tripier, 2017. "Uncertainty Fluctuations: Measures, Effects and Macroeconomic Policy Challenges," CEPII Policy Brief 2017-20, CEPII research center.
- Ma, Xiaohan & Samaniego, Roberto, 2020. "The macroeconomic impact of oil earnings uncertainty: New evidence from analyst forecasts," Energy Economics, Elsevier, vol. 90(C).
- Pierdzioch Christian & Gupta Rangan, 2020.
"Uncertainty and Forecasts of U.S. Recessions,"
Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-20, September.
- Christian Pierdzioch & Rangan Gupta, 2017. "Uncertainty and Forecasts of U.S. Recessions," Working Papers 201732, University of Pretoria, Department of Economics.
- Emanuele Bacchiocchi & Catalin Dragomirescu-Gaina, 2022.
"Uncertainty spill-overs: when policy and financial realms overlap,"
Working Papers
wp1174, Dipartimento Scienze Economiche, Universita' di Bologna.
- Bacchiocchi, Emanuele & Dragomirescu-Gaina, Catalin, 2024. "Uncertainty spill-overs: When policy and financial realms overlap," Journal of International Money and Finance, Elsevier, vol. 143(C).
- Emanuele Bacchiocchi & Catalin Dragomirescu-Gaina, 2021. "Uncertainty spill-overs: when policy and financial realms overlap," Papers 2102.06404, arXiv.org.
- Joshua Chan & Eric Eisenstat & Xuewen Yu, 2022. "Large Bayesian VARs with Factor Stochastic Volatility: Identification, Order Invariance and Structural Analysis," Papers 2207.03988, arXiv.org.
- Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano, 2021.
"Using time-varying volatility for identification in Vector Autoregressions: An application to endogenous uncertainty,"
Journal of Econometrics, Elsevier, vol. 225(1), pages 47-73.
- Marcellino, Massimiliano & Carriero, Andrea & Clark, Todd, 2021. "Using Time-Varying Volatility for Identification in Vector Autoregressions: An Application to Endogenous Uncertainty," CEPR Discussion Papers 16346, C.E.P.R. Discussion Papers.
- Jonas E. Arias & Juan F. Rubio-Ramirez & Daniel F. Waggoner, 2020.
"Uniform Priors for Impulse Responses,"
Working Papers
22-30, Federal Reserve Bank of Philadelphia.
- Jonas E. Arias & Juan F. Rubio-Ramirez & Daniel F. Waggoner, 2023. "Uniform Priors for Impulse Responses," FRB Atlanta Working Paper 2023-13, Federal Reserve Bank of Atlanta.
- Mario Forni & Luca Gambetti & Luca Sala, 2020.
"Macroeconomic Uncertainty and Vector Autoregressions,"
Center for Economic Research (RECent)
148, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
- Forni, Mario & Gambetti, Luca & Sala, Luca, 2021. "Macroeconomic Uncertainty and Vector Autoregressions," CEPR Discussion Papers 15692, C.E.P.R. Discussion Papers.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2016. "Large Vector Autoregressions with Stochastic Volatility and Flexible Priors," Working Papers (Old Series) 1617, Federal Reserve Bank of Cleveland.
- Joshua Chan, 2023. "BVARs and Stochastic Volatility," Papers 2310.14438, arXiv.org.
- Johnson Worlanyo Ahiadorme, 2022. "On the aggregate effects of global uncertainty: Evidence from an emerging economy," South African Journal of Economics, Economic Society of South Africa, vol. 90(3), pages 390-407, September.
- Philippe Goulet Coulombe & Mikael Frenette & Karin Klieber, 2023. "From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks," Working Papers 23-04, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Nov 2023.
- Cascaldi-Garcia, Danilo & Galvao, Ana Beatriz, 2016. "News and Uncertainty Shocks," EMF Research Papers 12, Economic Modelling and Forecasting Group.
- Ma, Xiaohan & Samaniego, Roberto, 2019. "Deconstructing uncertainty," European Economic Review, Elsevier, vol. 119(C), pages 22-41.
- Vivek Sharma & Edgar Silgado-Gómez, 2019. "Sovereign Spread Volatility and Banking Sector," CEIS Research Paper 454, Tor Vergata University, CEIS, revised 08 Mar 2019.
- Juan M. Londono & Sai Ma & Beth Anne Wilson, 2021. "The Global Transmission of Real Economic Uncertainty," International Finance Discussion Papers 1317, Board of Governors of the Federal Reserve System (U.S.).
- Dario Caldara & Chiara Scotti & Molin Zhong, 2021. "Macroeconomic and Financial Risks: A Tale of Mean and Volatility," International Finance Discussion Papers 1326, Board of Governors of the Federal Reserve System (U.S.).
- Minchul Shin & Molin Zhong, 2015.
"Does Realized Volatility Help Bond Yield Density Prediction?,"
Finance and Economics Discussion Series
2015-115, Board of Governors of the Federal Reserve System (U.S.).
- Shin, Minchul & Zhong, Molin, 2017. "Does realized volatility help bond yield density prediction?," International Journal of Forecasting, Elsevier, vol. 33(2), pages 373-389.
- Minchul Shin & Molin Zhong, 2013. "Does realized volatility help bond yield density prediction?," PIER Working Paper Archive 13-064, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
Cited by:
- Hitesh Doshi & Kris Jacobs & Rui Liu, 2021. "Information in the Term Structure: A Forecasting Perspective," Management Science, INFORMS, vol. 67(8), pages 5255-5277, August.
- Marcellino, Massimiliano & Carriero, Andrea & Clark, Todd, 2014.
"No Arbitrage Priors, Drifting Volatilities, and the Term Structure of Interest Rates,"
CEPR Discussion Papers
9848, C.E.P.R. Discussion Papers.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2021. "No‐arbitrage priors, drifting volatilities, and the term structure of interest rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 495-516, August.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2020. "No-Arbitrage Priors, Drifting Volatilities, and the Term Structure of Interest Rates," Working Papers 20-27, Federal Reserve Bank of Cleveland.
- Xu Gong & Boqiang Lin, 2022. "Predicting the volatility of crude oil futures: The roles of leverage effects and structural changes," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 610-640, January.
Articles
- C. Bora Durdu & Molin Zhong, 2023.
"Understanding Bank and Nonbank Credit Cycles: A Structural Exploration,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(1), pages 103-142, February.
See citations under working paper version above.
- Bora Durdu & Molin Zhong, 2019. "Understanding Bank and Nonbank Credit Cycles: A Structural Exploration," Finance and Economics Discussion Series 2019-031, Board of Governors of the Federal Reserve System (U.S.).
- C Bora Durdu & Molin Zhong, 2021. "Understanding bank and non-bank credit cycles: a structural exploration," BIS Working Papers 919, Bank for International Settlements.
- Pablo Guerróon‐Quintana & Molin Zhong, 2023.
"Macroeconomic forecasting in times of crises,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 295-320, April.
See citations under working paper version above.
- Pablo Guerrón-Quintana & Molin Zhong, 2017. "Macroeconomic Forecasting in Times of Crises," Finance and Economics Discussion Series 2017-018, Board of Governors of the Federal Reserve System (U.S.).
- 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.
See citations under working paper version above.
- Minchul Shin & Molin Zhong, 2016. "A New Approach to Identifying the Real Effects of Uncertainty Shocks," Finance and Economics Discussion Series 2016-040, Board of Governors of the Federal Reserve System (U.S.).
- Pablo Cuba‐Borda & Luca Guerrieri & Matteo Iacoviello & Molin Zhong, 2019.
"Likelihood evaluation of models with occasionally binding constraints,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(7), pages 1073-1085, November.
See citations under working paper version above.
- Pablo A. Cuba-Borda & Luca Guerrieri & Matteo Iacoviello & Molin Zhong, 2019. "Likelihood Evaluation of Models with Occasionally Binding Constraints," Finance and Economics Discussion Series 2019-028, Board of Governors of the Federal Reserve System (U.S.).
- Shin, Minchul & Zhang, Boyuan & Zhong, Molin & Lee, Dong Jin, 2018.
"Measuring international uncertainty: The case of Korea,"
Economics Letters, Elsevier, vol. 162(C), pages 22-26.
See citations under working paper version above.
- Dong Jin Lee & Minchul Shin & Boyuan Zhang & Molin Zhong, 2017. "Measuring International Uncertainty : The Case of Korea," Finance and Economics Discussion Series 2017-066, Board of Governors of the Federal Reserve System (U.S.).
- Shin, Minchul & Zhong, Molin, 2017.
"Does realized volatility help bond yield density prediction?,"
International Journal of Forecasting, Elsevier, vol. 33(2), pages 373-389.
See citations under working paper version above.Sorry, no citations of articles recorded.
- Minchul Shin & Molin Zhong, 2013. "Does realized volatility help bond yield density prediction?," PIER Working Paper Archive 13-064, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Minchul Shin & Molin Zhong, 2015. "Does Realized Volatility Help Bond Yield Density Prediction?," Finance and Economics Discussion Series 2015-115, Board of Governors of the Federal Reserve System (U.S.).
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NEP Fields
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 10 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.- NEP-MAC: Macroeconomics (6) 2016-03-06 2016-05-14 2017-07-02 2018-09-10 2021-03-15 2021-08-30. Author is listed
- NEP-BAN: Banking (4) 2018-09-10 2021-03-15 2021-08-30 2023-06-19. Author is listed
- NEP-ECM: Econometrics (4) 2016-03-06 2016-05-14 2017-02-26 2019-04-22. Author is listed
- NEP-FDG: Financial Development and Growth (4) 2018-09-10 2021-03-15 2021-08-30 2023-06-19. Author is listed
- NEP-DGE: Dynamic General Equilibrium (3) 2018-09-10 2019-04-22 2021-03-15. Author is listed
- NEP-FOR: Forecasting (3) 2013-11-16 2016-03-06 2017-02-26. Author is listed
- NEP-ORE: Operations Research (2) 2019-04-22 2021-08-30
- NEP-CWA: Central and Western Asia (1) 2021-08-30
- NEP-ETS: Econometric Time Series (1) 2023-06-19
- NEP-ISF: Islamic Finance (1) 2021-08-30
- NEP-RMG: Risk Management (1) 2021-08-30
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