Drew D. Creal
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.Wikipedia or ReplicationWiki mentions
(Only mentions on Wikipedia that link back to a page on a RePEc service)- Drew Creal & Siem Jan Koopman & Eric Zivot, 2010.
"Extracting a robust US business cycle using a time-varying multivariate model-based bandpass filter,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 695-719.
- Drew Creal & Siem Jan Koopman & Eric Zivot, 2008. "Extracting a Robust U.S. Business Cycle Using a Time-Varying Multivariate Model-Based Bandpass Filter," Working Papers UWEC-2008-15-FC, University of Washington, Department of Economics.
Mentioned in:
Working papers
- Chernov, Mikhail & Creal, Drew, 2022.
"International yield curves and currency puzzles,"
CEPR Discussion Papers
13252, C.E.P.R. Discussion Papers.
- Mikhail Chernov & Drew Creal, 2023. "International Yield Curves and Currency Puzzles," Journal of Finance, American Finance Association, vol. 78(1), pages 209-245, February.
- Mikhail Chernov & Drew D. Creal, 2018. "International Yield Curves and Currency Puzzles," NBER Working Papers 25206, National Bureau of Economic Research, Inc.
Cited by:
- Eric McCoy, 2020. "Euro-US Dollar Exchange Rate Dynamics at the Effective Lower Bound," European Economy - Economic Briefs 055, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
- Mikhail Chernov & Drew Creal & Peter Hördahl, 2021.
"Sovereign credit and exchange rate risks: evidence from Asia-Pacific local currency bonds,"
BIS Working Papers
918, Bank for International Settlements.
- Chernov, Mikhail & Creal, Drew & Hördahl, Peter, 2023. "Sovereign credit and exchange rate risks: Evidence from Asia-Pacific local currency bonds," Journal of International Economics, Elsevier, vol. 140(C).
- Mikhail Chernov & Drew D. Creal & Peter Hördahl, 2020. "Sovereign Credit and Exchange Rate Risks: Evidence from Asia-Pacific Local Currency Bonds," NBER Working Papers 27500, National Bureau of Economic Research, Inc.
- Chernov, Mikhail & Creal, Drew & Hördahl, Peter, 2020. "Sovereign credit and exchange rate risks: Evidence from Asia-Pacific local currency bonds," CEPR Discussion Papers 14986, C.E.P.R. Discussion Papers.
Cited by:
- Helena Chuliá & Sabuhi Khalili & Jorge M. Uribe, 2024. "Monitoring time-varying systemic risk in sovereign debt and currency markets with generative AI," IREA Working Papers 202402, University of Barcelona, Research Institute of Applied Economics, revised Feb 2024.
- Lu Yang & Lei Yang & Xue Cui, 2023. "Sovereign default network and currency risk premia," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-22, December.
- Rathi, Sawan & Mohapatra, Sanket & Sahay, Arvind, 2022. "Central bank gold reserves and sovereign credit risk," Finance Research Letters, Elsevier, vol. 45(C).
- Mikhail Chernov & Magnus Dahlquist & Lars Lochstoer, 2023.
"Pricing Currency Risks,"
Journal of Finance, American Finance Association, vol. 78(2), pages 693-730, April.
- Chernov, Mikhail & Dahlquist, Magnus & Lochstoer, Lars, 2020. "Pricing Currency Risks," CEPR Discussion Papers 15571, C.E.P.R. Discussion Papers.
- Mikhail Chernov & Magnus Dahlquist & Lars A. Lochstoer, 2020. "Pricing Currency Risks," NBER Working Papers 28260, National Bureau of Economic Research, Inc.
- Jassim Aladwani, 2023. "Wavelet Coherence and Continuous Wavelet Transform - Implementation and Application to the Relationship between Exchange Rate and Oil Price for Importing and Exporting Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 531-541, July.
- Rodrigo da Silva Souza & Leonardo Bornacki Mattos, 2022. "Oil price shocks and global liquidity: macroeconomic effects on the Brazilian real," International Economics and Economic Policy, Springer, vol. 19(4), pages 761-781, October.
- Candelon, Bertrand & Moura, Rubens, 2021. "A Multicountry Model of the Term Structures of Interest Rates with a GVAR," LIDAM Discussion Papers LFIN 2021007, Université catholique de Louvain, Louvain Finance (LFIN).
- Dim, Chukwuma & Koerner, Kevin & Wolski, Marcin & Zwart, Sanne, 2022. "Hot off the press: News-implied sovereign default risk," EIB Working Papers 2022/06, European Investment Bank (EIB).
- Mustafa Tevfik KARTAL, 2022. "The Role of Macroeconomic and Market Indicators in Explaining Sovereign Credit Default Swaps (CDS) Spread Changes: Evidence from Türkiye," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 145-164, April.
- Chernov, Mikhail & Creal, Drew, 2018.
"Multihorizon Currency Returns and Purchasing Power Parity,"
CEPR Discussion Papers
12893, C.E.P.R. Discussion Papers.
- Mikhail Chernov & Drew D. Creal, 2018. "Multihorizon Currency Returns and Purchasing Power Parity," NBER Working Papers 24563, National Bureau of Economic Research, Inc.
Cited by:
- Philippe Bacchetta & Eric van Wincoop, 2019.
"Puzzling Exchange Rate Dynamics and Delayed Portfolio Adjustment,"
Swiss Finance Institute Research Paper Series
19-35, Swiss Finance Institute.
- Bacchetta, Philippe & van Wincoop, Eric, 2021. "Puzzling exchange rate dynamics and delayed portfolio adjustment," Journal of International Economics, Elsevier, vol. 131(C).
- Philippe Bacchetta & Eric van Wincoop, 2019. "Puzzling Exchange Rate Dynamics and Delayed Portfolio Adjustment," NBER Working Papers 26259, National Bureau of Economic Research, Inc.
- Philippe Bacchetta & Eric van Wincoop, 2018. "Puzzling Exchange Rate Dynamics and Delayed Portfolio Adjustment," 2018 Meeting Papers 675, Society for Economic Dynamics.
- Bacchetta, Philippe & van Wincoop, Eric, 2019. "Puzzling Exchange Rate Dynamics and Delayed Portfolio Adjustment," CEPR Discussion Papers 13839, C.E.P.R. Discussion Papers.
- Drew D. Creal & Jing Cynthia Wu, 2016.
"Bond Risk Premia in Consumption-based Models,"
NBER Working Papers
22183, National Bureau of Economic Research, Inc.
- Drew D. Creal & Jing Cynthia Wu, 2020. "Bond risk premia in consumption‐based models," Quantitative Economics, Econometric Society, vol. 11(4), pages 1461-1484, November.
Cited by:
- Timmermann, Allan & Pettenuzzo, Davide & Gargano, Antonio, 2014.
"Bond Return Predictability: Economic Value and Links to the Macroeconomy,"
CEPR Discussion Papers
10104, C.E.P.R. Discussion Papers.
- Antonio Gargano & Davide Pettenuzzo & Allan Timmermann, 2019. "Bond Return Predictability: Economic Value and Links to the Macroeconomy," Management Science, INFORMS, vol. 65(2), pages 508-540, February.
- Davide Pettenuzzo & Antonio Gargano & Allan Timmermann, 2014. "Bond Return Predictability: Economic Value and Links to the Macroeconomy," Working Papers 75R, Brandeis University, Department of Economics and International Business School, revised Jul 2016.
- Davide Pettenuzzo & Antonio Gargano & Allan Timmermann, 2014. "Bond Return Predictability: Economic Value and Links to the Macroeconomy," Working Papers 75, Brandeis University, Department of Economics and International Business School.
- Timmermann, Allan & Farmer, Leland E. & Schmidt, Lawrence, 2018.
"Pockets of Predictability,"
CEPR Discussion Papers
12885, C.E.P.R. Discussion Papers.
- Leland E. Farmer & Lawrence Schmidt & Allan Timmermann, 2023. "Pockets of Predictability," Journal of Finance, American Finance Association, vol. 78(3), pages 1279-1341, June.
- Etienne Vaccaro-Grange, 2019.
"Quantitative Easing and the Term Premium as a Monetary Policy Instrument,"
Working Papers
halshs-02359503, HAL.
- Etienne Vaccaro-Grange, 2019. "Quantitative Easing and the Term Premium as a Monetary Policy Instrument," AMSE Working Papers 1932, Aix-Marseille School of Economics, France.
- Dongho Song, 2017.
"Bond Market Exposures to Macroeconomic and Monetary Policy Risks,"
The Review of Financial Studies, Society for Financial Studies, vol. 30(8), pages 2761-2817.
- Dongho Song, 2014. "Bond Market Exposures to Macroeconomic and Monetary Policy Risks," PIER Working Paper Archive 14-017, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Dongho Song, 2016. "Bond Market Exposures to Macroeconomic and Monetary Policy Risks," Boston College Working Papers in Economics 915, Boston College Department of Economics, revised 19 Jul 2016.
- Chunya Bu & John Rogers & Wenbin Wu, 2019.
"A Unified Measure of Fed Monetary Policy Shocks,"
Finance and Economics Discussion Series
2019-043, Board of Governors of the Federal Reserve System (U.S.).
- Bu, Chunya & Rogers, John & Wu, Wenbin, 2021. "A unified measure of Fed monetary policy shocks," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 331-349.
- Stefania D’Amico & N Aaron Pancost, 2022. "Special Repo Rates and the Cross-Section of Bond Prices: The Role of the Special Collateral Risk Premium [Pr icing the term structure with linear regressions]," Review of Finance, European Finance Association, vol. 26(1), pages 117-162.
- Granziera, Eleonora & Sihvonen, Markus, 2024. "Bonds, currencies and expectational errors," Journal of Economic Dynamics and Control, Elsevier, vol. 158(C).
- Enoch Cheng & Clemens C. Struck, 2019. "Time-Series Momentum: A Monte-Carlo Approach," Working Papers 201906, School of Economics, University College Dublin.
- Martin Kliem & Alexander Meyer-Gohde, 2018.
"(Un)expected Monetary Policy Shocks and Term Premia,"
2018 Meeting Papers
102, Society for Economic Dynamics.
- Martin Kliem & Alexander Meyer‐Gohde, 2022. "(Un)expected monetary policy shocks and term premia," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 477-499, April.
- Kliem, Martin & Meyer-Gohde, Alexander, 2017. "(Un)expected monetary policy shocks and term premia," Discussion Papers 30/2017, Deutsche Bundesbank.
- Martin Kliem & Alexander Meyer-Gohde, 2017. "(Un)expected Monetary Policy Shocks and Term Premia," SFB 649 Discussion Papers SFB649DP2017-015, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Kliem, Martin & Meyer-Gohde, Alexander, 2019. "(Un)expected monetary policy shocks and term premia," IMFS Working Paper Series 137, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
- Zhang, Han & Fan, Xiaoyun & Guo, Bin & Zhang, Wei, 2019. "Reexamining time-varying bond risk premia in the post-financial crisis era," Journal of Economic Dynamics and Control, Elsevier, vol. 109(C).
- Huang, Dashan & Jiang, Fuwei & Li, Kunpeng & Tong, Guoshi & Zhou, Guofu, 2023. "Are bond returns predictable with real-time macro data?," Journal of Econometrics, Elsevier, vol. 237(2).
- Patrick Augustin & Roméo Tédongap, 2021. "Disappointment Aversion, Term Structure, and Predictability Puzzles in Bond Markets," Management Science, INFORMS, vol. 67(10), pages 6266-6293, October.
- Roman Sustek, 2021. "Yield curve and the business cycle in conventional times," Discussion Papers 2122, Centre for Macroeconomics (CFM).
- Martin M. Andreasen & Kasper Jørgensen, 2016. "Explaining Asset Prices with Low Risk Aversion and Low Intertemporal Substitution," CREATES Research Papers 2016-16, Department of Economics and Business Economics, Aarhus University.
- Drew Creal & Siem Jan Koopman & André Lucas & Marcin Zamojski, 2015.
"Generalized Autoregressive Method of Moments,"
Tinbergen Institute Discussion Papers
15-138/III, Tinbergen Institute, revised 06 Jul 2018.
Cited by:
- Andre Lucas & Anne Opschoor & Julia Schaumburg, 2016.
"Accounting for Missing Values in Score-Driven Time-Varying Parameter Models,"
Tinbergen Institute Discussion Papers
16-067/IV, Tinbergen Institute.
- Lucas, André & Opschoor, Anne & Schaumburg, Julia, 2016. "Accounting for missing values in score-driven time-varying parameter models," Economics Letters, Elsevier, vol. 148(C), pages 96-98.
- Patton, Andrew J. & Ziegel, Johanna F. & Chen, Rui, 2019.
"Dynamic semiparametric models for expected shortfall (and Value-at-Risk),"
Journal of Econometrics, Elsevier, vol. 211(2), pages 388-413.
- Andrew J. Patton & Johanna F. Ziegel & Rui Chen, 2017. "Dynamic Semiparametric Models for Expected Shortfall (and Value-at-Risk)," Papers 1707.05108, arXiv.org.
- Lilis Yuaningsih & R. Adjeng Mariana Febrianti & Hafiz Waqas Kamran, 2020. "Reducing CO2 Emissions through Biogas, Wind and Solar Energy Production: Evidence from Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 10(6), pages 684-689.
- Anne Opschoor & André Lucas & Istvan Barra & Dick van Dijk, 2019.
"Closed-Form Multi-Factor Copula Models with Observation-Driven Dynamic Factor Loadings,"
Tinbergen Institute Discussion Papers
19-013/IV, Tinbergen Institute, revised 23 Oct 2019.
- Anne Opschoor & André Lucas & István Barra & Dick van Dijk, 2021. "Closed-Form Multi-Factor Copula Models With Observation-Driven Dynamic Factor Loadings," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(4), pages 1066-1079, October.
- Blasques, Francisco & Lucas, André & van Vlodrop, Andries C., 2021. "Finite Sample Optimality of Score-Driven Volatility Models: Some Monte Carlo Evidence," Econometrics and Statistics, Elsevier, vol. 19(C), pages 47-57.
- Andre Lucas & Anne Opschoor & Julia Schaumburg, 2016.
"Accounting for Missing Values in Score-Driven Time-Varying Parameter Models,"
Tinbergen Institute Discussion Papers
16-067/IV, Tinbergen Institute.
- Drew D. Creal & Jing Cynthia Wu, 2014.
"Monetary Policy Uncertainty and Economic Fluctuations,"
NBER Working Papers
20594, National Bureau of Economic Research, Inc.
- Drew D. Creal & Jing Cynthia Wu, 2017. "Monetary Policy Uncertainty And Economic Fluctuations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 58(4), pages 1317-1354, November.
Cited by:
- Efrem Castelnuovo, 2019.
"Yield Curve and Financial Uncertainty: Evidence Based on US Data,"
CESifo Working Paper Series
7697, CESifo.
- Efrem Castelnuovo, 2019. "Yield Curve and Financial Uncertainty: Evidence Based on US Data," Melbourne Institute Working Paper Series wp2019n05, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
- Efrem Castelnuovo, 2019. "Yield Curve and Financial Uncertainty: Evidence Based on US Data," "Marco Fanno" Working Papers 0234, Dipartimento di Scienze Economiche "Marco Fanno".
- Efrem Castelnuovo, 2019. "Yield curve and financial uncertainty: Evidence based on US data," CAMA Working Papers 2019-38, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Efrem Castelnuovo, 2019. "Yield Curve and Financial Uncertainty: Evidence Based on US Data," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 52(3), pages 323-335, September.
- Rangan Gupta & Jun Ma & Marian Risse & Mark E. Wohar, 2017.
"Common Business Cycles and Volatilities in US States and MSAs: The Role of Economic Uncertainty,"
Working Papers
201766, University of Pretoria, Department of Economics.
- Gupta, Rangan & Ma, Jun & Risse, Marian & Wohar, Mark E., 2018. "Common business cycles and volatilities in US states and MSAs: The role of economic uncertainty," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 317-337.
- Bakas, Dimitrios & Ioakimidis, Marilou & Triantafyllou, Athanasios, 2020.
"Commodity Price Uncertainty as a Leading Indicator of Economic Activity,"
Essex Finance Centre Working Papers
27361, University of Essex, Essex Business School.
- Athanasios Triantafyllou & Dimitrios Bakas & Marilou Ioakimidis, 2019. "Commodity Price Uncertainty as a Leading Indicator of Economic Activity," Working Paper series 19-03, Rimini Centre for Economic Analysis.
- Athanasios Triantafyllou & Dimitrios Bakas & Marilou Ioakimidis, 2023. "Commodity price uncertainty as a leading indicator of economic activity," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4194-4219, October.
- Fasolo, Angelo Marsiglia, 2019.
"Monetary policy volatility shocks in Brazil,"
Economic Modelling, Elsevier, vol. 81(C), pages 348-360.
- Angelo Marsiglia Fasolo, 2018. "Monetary Policy Volatility Shocks in Brazil," Working Papers Series 480, Central Bank of Brazil, Research Department.
- Bruno Feunou & Jean-Sébastien Fontaine, 2021. "Debt-Secular Economic Changes and Bond Yields," Staff Working Papers 21-14, Bank of Canada.
- Dora Xia & Jing Cynthia Wu, 2018.
"The negative interest rate policy and the yield curve,"
BIS Working Papers
703, Bank for International Settlements.
- Jing Cynthia Wu & Fan Dora Xia, 2018. "Negative Interest Rate Policy and the Yield Curve," NBER Working Papers 25180, National Bureau of Economic Research, Inc.
- Jing Cynthia Wu & Fan Dora Xia, 2020. "Negative interest rate policy and the yield curve," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(6), pages 653-672, September.
- Dennis Nsafoah & Apostolos Serletis, 2020. "Monetary Policy and Interest Rate Spreads," Open Economies Review, Springer, vol. 31(3), pages 707-727, July.
- Mario Canales & Bernabe Lopez-Martin, 2021. "Uncertainty, Risk, and Price-Setting: Evidence from CPI Microdata," Working Papers Central Bank of Chile 908, Central Bank of Chile.
- 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.
- Han, Haozhe & Wang, Xingjian, 2023. "Monetary policy uncertainty and corporate cash holdings: Evidence from China," Journal of Financial Stability, Elsevier, vol. 67(C).
- 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.).
- 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.
- 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.
- Stefano Fasani & Haroon Mumtaz & Lorenza Rossi, 2022.
"Online Appendix to "Monetary Policy and Firm Dynamics","
Online Appendices
21-105, Review of Economic Dynamics.
- Stefano Fasani & Haroon Mumtaz & Lorenza Rossi, 2023. "Monetary Policy and Firm Dynamics," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 47, pages 278-296, January.
- Nguyen Phuc Canh & Su Dinh Thanh, 2022. "The Dynamics of Export Diversification, Economic Complexity and Economic Growth Cycles: Global Evidence," Foreign Trade Review, , vol. 57(3), pages 234-260, August.
- Cepni, Oguzhan & Demirer, Riza & Gupta, Rangan & Sensoy, Ahmet, 2021.
"Interest Rate Uncertainty and the Predictability of Bank Revenues,"
Working Papers
2-2021, Copenhagen Business School, Department of Economics.
- Oguzhan Cepni & Riza Demirer & Rangan Gupta & Ahmet Sensoy, 2020. "Interest Rate Uncertainty and the Predictability of Bank Revenues," Working Papers 202040, University of Pretoria, Department of Economics.
- Oguzhan Cepni & Riza Demirer & Rangan Gupta & Ahmet Sensoy, 2022. "Interest rate uncertainty and the predictability of bank revenues," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(8), pages 1559-1569, December.
- Lakdawala, Aeimit, 2018.
"The growing impact of US monetary policy on emerging financial markets: Evidence from India,"
Working Papers
2018-9, Michigan State University, Department of Economics.
- Lakdawala, Aeimit, 2021. "The growing impact of US monetary policy on emerging financial markets: Evidence from India," Journal of International Money and Finance, Elsevier, vol. 119(C).
- Yan Jiang & Yaping Xu & Shengsheng Li, 2022. "How Does Monetary Policy Uncertainty Influence Firms’ Dynamic Adjustment of Capital Structure," SAGE Open, , vol. 12(1), pages 21582440211, January.
- Li, Junye & Sarno, Lucio & Zinna, Gabriele, 2024. "Risks and risk premia in the US Treasury market," Journal of Economic Dynamics and Control, Elsevier, vol. 158(C).
- 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.
- Li, Li & Tang, Yao & Xiang, Jingjie, 2020. "Measuring China's monetary policy uncertainty and its impact on the real economy," Emerging Markets Review, Elsevier, vol. 44(C).
- Lucas F. Husted & John H. Rogers & Bo Sun, 2017.
"Monetary Policy Uncertainty,"
International Finance Discussion Papers
1215, Board of Governors of the Federal Reserve System (U.S.).
- Husted, Lucas & Rogers, John & Sun, Bo, 2020. "Monetary policy uncertainty," Journal of Monetary Economics, Elsevier, vol. 115(C), pages 20-36.
- Lastauskas, Povilas & Nguyen, Anh Dinh Minh, 2023.
"Global impacts of US monetary policy uncertainty shocks,"
Journal of International Economics, Elsevier, vol. 145(C).
- Lastauskas, Povilas & Nguyen, Anh Dinh Minh, 2021. "Global impacts of US monetary policy uncertainty shocks," Working Paper Series 2513, European Central Bank.
- Povilas Lastauskas & Anh Dinh Minh Nguyen, 2020. "Global Impacts of US Monetary Policy Uncertainty Shocks," Bank of Lithuania Working Paper Series 84, Bank of Lithuania.
- Raymond L. Aor & Afees A. Salisu & Isah J. Okpe, 2021. "A Comparative Assessment of the Global Effects of US Monetary and Fiscal Policy Uncertainty Shocks," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 89-114, December.
- Goodness C. Aye, 2019. "Short and Long Run Asymmetric Effects of Monetary and Fiscal Policy Uncertainty on Economic Activity in the U.S," Working Papers 201923, University of Pretoria, Department of Economics.
- Drew D. Creal & Jing Cynthia Wu, 2016.
"Bond Risk Premia in Consumption-based Models,"
NBER Working Papers
22183, National Bureau of Economic Research, Inc.
- Drew D. Creal & Jing Cynthia Wu, 2020. "Bond risk premia in consumption‐based models," Quantitative Economics, Econometric Society, vol. 11(4), pages 1461-1484, November.
- Zhang, Weike & Zhang, Xueyuan & Tian, Xiaoli & Sun, Fengwei, 2021. "Economic policy uncertainty nexus with corporate risk-taking: The role of state ownership and corruption expenditure," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).
- Martin Kliem & Alexander Meyer-Gohde, 2018.
"(Un)expected Monetary Policy Shocks and Term Premia,"
2018 Meeting Papers
102, Society for Economic Dynamics.
- Martin Kliem & Alexander Meyer‐Gohde, 2022. "(Un)expected monetary policy shocks and term premia," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 477-499, April.
- Kliem, Martin & Meyer-Gohde, Alexander, 2017. "(Un)expected monetary policy shocks and term premia," Discussion Papers 30/2017, Deutsche Bundesbank.
- Martin Kliem & Alexander Meyer-Gohde, 2017. "(Un)expected Monetary Policy Shocks and Term Premia," SFB 649 Discussion Papers SFB649DP2017-015, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Kliem, Martin & Meyer-Gohde, Alexander, 2019. "(Un)expected monetary policy shocks and term premia," IMFS Working Paper Series 137, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
- Byrne, Joseph P. & Cao, Shuo & Korobilis, Dimitris, 2019.
"Decomposing global yield curve co-movement,"
Journal of Banking & Finance, Elsevier, vol. 106(C), pages 500-513.
- Byrne, JP & Cao, S & Korobilis, D, 2016. "Decomposing Global Yield Curve Co-Movement," Essex Finance Centre Working Papers 18194, University of Essex, Essex Business School.
- Xiang, Jingjie & Li, Li, 2022. "Monetary policy uncertainty, debt financing cost and real economic activities: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 1025-1044.
- Huang, Ho-Chuan & Wang, Xiuhua & Xiong, Xin, 2022. "When macro time series meets micro panel data: A clear and present danger," Energy Economics, Elsevier, vol. 114(C).
- Nguyen, Canh Phuc & Lee, Gabriel S., 2021. "Uncertainty, financial development, and FDI inflows: Global evidence," Economic Modelling, Elsevier, vol. 99(C).
- Emmanuel Joel Aikins Abakah & Guglielmo Maria Caporale & Luis A. Gil-Alana, 2020.
"Economic Policy Uncertainty: Persistence and Cross-Country Linkages,"
CESifo Working Paper Series
8289, CESifo.
- Abakah, Emmanuel Joel Aikins & Caporale, Guglielmo Maria & Gil-Alana, Luis Alberiko, 2021. "Economic policy uncertainty: Persistence and cross-country linkages," Research in International Business and Finance, Elsevier, vol. 58(C).
- Yifei Cai, 2018. "Predictive Power of us Monetary Policy Uncertainty Shock on Stock Returns in Australia and New Zealand," Australian Economic Papers, Wiley Blackwell, vol. 57(4), pages 470-488, December.
- Trung, Nguyen Ba, 2019. "The spillover effects of US economic policy uncertainty on the global economy: A global VAR approach," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 90-110.
- Ji Zhang & Jing Cynthia Wu, 2017.
"A shadow rate New Keynesian model,"
2017 Meeting Papers
11, Society for Economic Dynamics.
- Jing Cynthia Wu & Ji Zhang, 2016. "A Shadow Rate New Keynesian Model," NBER Working Papers 22856, National Bureau of Economic Research, Inc.
- Wu, Jing Cynthia & Zhang, Ji, 2019. "A shadow rate New Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
- Stéphane Lhuissier & Fabien Tripier, 2019.
"Regime-Dependent Effects of Uncertainty Shocks: A Structural Interpretation,"
Working papers
714, Banque de France.
- Stéphane Lhuissier & Fabien Tripier, 2021. "Regime‐dependent effects of uncertainty shocks: A structural interpretation," Quantitative Economics, Econometric Society, vol. 12(4), pages 1139-1170, November.
- Yifei Cai & Angeliki Menegaki, 2021. "FDI, growth and trade partisan conflict in the US: TVP-BVAR approach," Empirical Economics, Springer, vol. 60(3), pages 1335-1362, March.
- Bluwstein, Kristina & Yung, Julieta, 2019. "Back to the real economy: the effects of risk perception shocks on the term premium and bank lending," Bank of England working papers 806, Bank of England.
- Han, Yang & Jiao, Anqi & Ma, Jun, 2021. "The predictive power of Nelson–Siegel factor loadings for the real economy," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 95-127.
- Gabriel Arce‐Alfaro & Boris Blagov, 2023. "Monetary Policy Uncertainty and Inflation Expectations," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(1), pages 70-94, February.
- Gong, Mengqi & You, Zhe & Wang, Longle & Ruan, Dapeng, 2024. "Research of the non-linear dynamic relationship between global economic policy uncertainty and crude oil prices," Journal of Asian Economics, Elsevier, vol. 90(C).
- Liu, Tingli & Chen, Xiao & Yang, Songling, 2022. "Economic policy uncertainty and enterprise investment decision: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
- Gian Paulo Soave, 2020. "International Drivers of Policy Uncertainty in Emerging Economies," Economics Bulletin, AccessEcon, vol. 40(1), pages 716-726.
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"Data revisions and the effects of monetary policy volatility,"
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Tinbergen Institute Discussion Papers
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Cited by:
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"Testing against Changing Correlation,"
Cambridge Working Papers in Economics
1439, Faculty of Economics, University of Cambridge.
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"Testing against Changing Correlation,"
Cambridge Working Papers in Economics
1439, Faculty of Economics, University of Cambridge.
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Cited by:
- Bakshi, Gurdip & Crosby, John & Gao, Xiaohui & Hansen, Jorge W., 2023. "Treasury option returns and models with unspanned risks," Journal of Financial Economics, Elsevier, vol. 150(3).
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"Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty,"
SIRE Discussion Papers
2015-71, Scottish Institute for Research in Economics (SIRE).
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"The negative interest rate policy and the yield curve,"
BIS Working Papers
703, Bank for International Settlements.
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"Restrictions on Risk Prices in Dynamic Term Structure Models,"
CESifo Working Paper Series
5241, CESifo.
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"No-Arbitrage Priors, Drifting Volatilities, and the Term Structure of Interest Rates,"
Working Papers
20-27, Federal Reserve Bank of Cleveland.
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"Bond Risk Premia in Consumption-based Models,"
NBER Working Papers
22183, National Bureau of Economic Research, Inc.
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"Staying at Zero with Affine Processes: An Application to Term Structure Modelling,"
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"Monetary Policy Uncertainty and Economic Fluctuations,"
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20594, National Bureau of Economic Research, Inc.
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"Measuring the Macroeconomic Impact of Monetary Policy at the Zero Lower Bound,"
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20117, National Bureau of Economic Research, Inc.
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"Excess Volatility: Beyond Discount Rates,"
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22045, National Bureau of Economic Research, Inc.
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"Forecasting Output Growth using a DSGE-Based Decomposition of the South African Yield Curve,"
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"Reconstructing the yield curve,"
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"Tractable Term Structure Models,"
Management Science, INFORMS, vol. 68(11), pages 8411-8429, November.
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- Hansen, Anne Lundgaard, 2021. "Modeling persistent interest rates with double-autoregressive processes," Journal of Banking & Finance, Elsevier, vol. 133(C).
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"Observation driven mixed-measurement dynamic factor models with an application to credit risk,"
Working Paper Series
1626, European Central Bank.
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Cited by:
- Schwaab, Bernd & Eser, Fabian, 2013. "Assessing asset purchases within the ECB’s securities markets programme," Working Paper Series 1587, European Central Bank.
- Andre Lucas & Anne Opschoor & Julia Schaumburg, 2016.
"Accounting for Missing Values in Score-Driven Time-Varying Parameter Models,"
Tinbergen Institute Discussion Papers
16-067/IV, Tinbergen Institute.
- Lucas, André & Opschoor, Anne & Schaumburg, Julia, 2016. "Accounting for missing values in score-driven time-varying parameter models," Economics Letters, Elsevier, vol. 148(C), pages 96-98.
- Moratis, Georgios & Sakellaris, Plutarchos, 2021.
"Measuring the systemic importance of banks,"
Journal of Financial Stability, Elsevier, vol. 54(C).
- Georgios Moratis & Plutarchos Sakellaris, 2017. "Measuring the systemic importance of banks," Working Papers 240, Bank of Greece.
- Mauro Bernardi & Leopoldo Catania, 2015. "Switching-GAS Copula Models With Application to Systemic Risk," Papers 1504.03733, arXiv.org, revised Jan 2016.
- Blasques, F. & Gorgi, P. & Koopman, S.J., 2019. "Accelerating score-driven time series models," Journal of Econometrics, Elsevier, vol. 212(2), pages 359-376.
- Mohamed Chikhi & Claude Diebolt & Tapas Mishra, 2019.
"Memory that Drives! New Insights into Forecasting Performance of Stock Prices from SEMIFARMA-AEGAS Model,"
Working Papers of BETA
2019-24, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
- Mohamed CHIKHI & Claude DIEBOLT & Tapas MISHRA, 2019. "Memory that Drives! New Insights into Forecasting Performance of Stock Prices from SEMIFARMA-AEGAS Model," Working Papers 07-19, Association Française de Cliométrie (AFC).
- Enzo D’Innocenzo & Alessandra Luati & Mario Mazzocchi, 2023.
"A robust score-driven filter for multivariate time series,"
Econometric Reviews, Taylor & Francis Journals, vol. 42(5), pages 441-470, May.
- Enzo D'Innocenzo & Alessandra Luati & Mario Mazzocchi, 2020. "A Robust Score-Driven Filter for Multivariate Time Series," Papers 2009.01517, arXiv.org, revised Aug 2022.
- Drew Creal & Siem Jan Koopman & André Lucas & Marcin Zamojski, 2015. "Generalized Autoregressive Method of Moments," Tinbergen Institute Discussion Papers 15-138/III, Tinbergen Institute, revised 06 Jul 2018.
- Ouyang, Ruolan & Chen, Xiang & Fang, Yi & Zhao, Yang, 2022. "Systemic risk of commodity markets: A dynamic factor copula approach," International Review of Financial Analysis, Elsevier, vol. 82(C).
- Sebastian Schmidt, 2014. "Dealing with a liquidity trap when government debt matters," Research Bulletin, European Central Bank, vol. 21, pages 8-11.
- Gorgi, Paolo & Koopman, Siem Jan & Li, Mengheng, 2019.
"Forecasting economic time series using score-driven dynamic models with mixed-data sampling,"
International Journal of Forecasting, Elsevier, vol. 35(4), pages 1735-1747.
- Paolo Gorgi & Siem Jan (S.J.) Koopman & Mengheng Li, 2018. "Forecasting economic time series using score-driven dynamic models with mixed-data sampling," Tinbergen Institute Discussion Papers 18-026/III, Tinbergen Institute.
- Andre Lucas & Bernd Schwaab & Xin Zhang, 2013. "Measuring Credit Risk in a Large Banking System: Econometric Modeling and Empirics," Tinbergen Institute Discussion Papers 13-063/IV/DSF56, Tinbergen Institute, revised 13 Oct 2014.
- Li, Aimin & Li, Zhiyong & Bellotti, Anthony, 2023. "Predicting loss given default of unsecured consumer loans with time-varying survival scores," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
- Djeundje, Viani Biatat & Crook, Jonathan, 2018. "Incorporating heterogeneity and macroeconomic variables into multi-state delinquency models for credit cards," European Journal of Operational Research, Elsevier, vol. 271(2), pages 697-709.
- Wang, Fa, 2022. "Maximum likelihood estimation and inference for high dimensional generalized factor models with application to factor-augmented regressions," Journal of Econometrics, Elsevier, vol. 229(1), pages 180-200.
- Caballero, Diego & Lucas, André & Schwaab, Bernd & Zhang, Xin, 2019.
"Risk endogeneity at the lender/investor-of-last-resort,"
Working Paper Series
2225, European Central Bank.
- Caballero, Diego & Lucas, Andr e & Schwaab, Bernd & Zhang, Xin, 2019. "Risk endogeneity at the lender/investor-of-last-resort," Working Paper Series 382, Sveriges Riksbank (Central Bank of Sweden).
- Caballero, Diego & Lucas, André & Schwaab, Bernd & Zhang, Xin, 2020. "Risk endogeneity at the lender/investor-of-last-resort," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 283-297.
- Diego Caballero & André Lucas & Bernd Schwaab & Xin Zhang, 2019. "Risk endogeneity at the lender/investor-of-last-resort," BIS Working Papers 766, Bank for International Settlements.
- Rutger-Jan Lange & Bram van Os & Dick van Dijk, 2022. "Robust Observation-Driven Models Using Proximal-Parameter Updates Abstract We propose an observation-driven modelling framework that permits time variation in the model’s parameters using a proximal-p," Tinbergen Institute Discussion Papers 22-066/III, Tinbergen Institute, revised 20 Dec 2022.
- Francesco Calvori & Drew Creal & Siem Jan Koopman & Andre Lucas, 2014. "Testing for Parameter Instability in Competing Modeling Frameworks," Tinbergen Institute Discussion Papers 14-010/IV/DSF71, Tinbergen Institute.
- Ouyang, Ruolan & Zhuang, Chengkai & Wang, Tingting & Zhang, Xuan, 2022. "Network analysis of risk transmission among energy futures: An industrial chain perspective," Energy Economics, Elsevier, vol. 107(C).
- Bart Keijsers & Bart Diris & Erik Kole, 2015.
"Cyclicality in Losses on Bank Loans,"
Tinbergen Institute Discussion Papers
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- Bart Keijsers & Bart Diris & Erik Kole, 2018. "Cyclicality in losses on bank loans," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(4), pages 533-552, June.
- Ito, R., 2016. "Spline-DCS for Forecasting Trade Volume in High-Frequency Finance," Cambridge Working Papers in Economics 1606, Faculty of Economics, University of Cambridge.
- Blasques, Francisco & Ji, Jiangyu & Lucas, André, 2016. "Semiparametric score driven volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 58-69.
- Belkhir, Mohamed & Ben Naceur, Sami & Candelon, Bertrand & Wijnandts, Jean-Charles, 2022.
"Macroprudential policies, economic growth and banking crises,"
LIDAM Reprints LFIN
2022013, Université catholique de Louvain, Louvain Finance (LFIN).
- Belkhir, Mohamed & Naceur, Sami Ben & Candelon, Bertrand & Wijnandts, Jean-Charles, 2022. "Macroprudential policies, economic growth and banking crises," Emerging Markets Review, Elsevier, vol. 53(C).
- Belkhir, Mohamed & Ben Naceur, Sami & Candelon, Bertrand & Wijnandts, Jean-Charles, 2022. "Macroprudential Policies, Economic Growth and Banking Crises," LIDAM Discussion Papers LFIN 2022010, Université catholique de Louvain, Louvain Finance (LFIN).
- Mohamed Belkhir & Sami Ben Naceur & Bertrand Candelon & Jean-Charles Wijnandts, 2020. "Macroprudential Policies, Economic Growth, and Banking Crises," IMF Working Papers 2020/065, International Monetary Fund.
- André Lucas & Julia Schaumburg & Bernd Schwaab, 2019.
"Bank Business Models at Zero Interest Rates,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 542-555, July.
- Andre Lucas & Julia Schaumburg & Bernd Schwaab, 2016. "Bank Business Models at Zero Interest Rates," Tinbergen Institute Discussion Papers 16-066/IV, Tinbergen Institute.
- Lucas, André & Schaumburg, Julia & Schwaab, Bernd, 2017. "Bank business models at zero interest rates," Working Paper Series 2084, European Central Bank.
- Wang, Fa, 2017. "Maximum likelihood estimation and inference for high dimensional nonlinear factor models with application to factor-augmented regressions," MPRA Paper 93484, University Library of Munich, Germany, revised 19 May 2019.
- Schwaab, Bernd & Lucas, André & Zhang, Xin, 2015.
"Modeling financial sector joint tail risk in the euro area,"
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1837, European Central Bank.
- André Lucas & Bernd Schwaab & Xin Zhang, 2017. "Modeling Financial Sector Joint Tail Risk in the Euro Area," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 171-191, January.
- Lucas, André & Schwaab, Bernd & Zhang, Xin, 2015. "Modeling financial sector joint tail risk in the euro area," Working Paper Series 308, Sveriges Riksbank (Central Bank of Sweden).
- Ouyang, Ruolan & Zhang, Xuan, 2020. "Financialization of agricultural commodities: Evidence from China," Economic Modelling, Elsevier, vol. 85(C), pages 381-389.
- Blasques, F. & Gorgi, P. & Koopman, S.J., 2021.
"Missing observations in observation-driven time series models,"
Journal of Econometrics, Elsevier, vol. 221(2), pages 542-568.
- Francisco (F.) Blasques & Paolo Gorgi & Siem Jan (S.J.) Koopman, 2018. "Missing Observations in Observation-Driven Time Series Models," Tinbergen Institute Discussion Papers 18-013/III, Tinbergen Institute.
- Schwaab, Bernd & Koopman, Siem Jan & Lucas, André, 2014. "Nowcasting and forecasting global financial sector stress and credit market dislocation," International Journal of Forecasting, Elsevier, vol. 30(3), pages 741-758.
- Mohamed Chikhi & Claude Diebolt & Tapas Mishra, 2019. "Measuring Success: Does Predictive Ability of an Asset Price Rest in 'Memory'? Insights from a New Approach," Working Papers 11-19, Association Française de Cliométrie (AFC).
- Goldmann, Leonie & Crook, Jonathan & Calabrese, Raffaella, 2024. "A new ordinal mixed-data sampling model with an application to corporate credit rating levels," European Journal of Operational Research, Elsevier, vol. 314(3), pages 1111-1126.
- Anisa Caja & Quentin Guibert & Frédéric Planchet, 2015. "Influence of Economic Factors on the Credit Rating Transitions and Defaults of Credit Insurance Business," Working Papers hal-01178812, HAL.
- Bernd Schwaab & Siem Jan Koopman & André Lucas, 2017.
"Global Credit Risk: World, Country and Industry Factors,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 296-317, March.
- Schwaab, Bernd & Koopman, Siem Jan & Lucas, André, 2016. "Global credit risk: world country and industry factors," Working Paper Series 1922, European Central Bank.
- Bernd Schwaab & Siem Jan Koopman & André Lucas, 2015. "Global Credit Risk: World, Country and Industry Factors," Tinbergen Institute Discussion Papers 15-029/III/DSF87, Tinbergen Institute.
- Siem Jan Koopman & André Lucas & Marcel Scharth, 2016.
"Predicting Time-Varying Parameters with Parameter-Driven and Observation-Driven Models,"
The Review of Economics and Statistics, MIT Press, vol. 98(1), pages 97-110, March.
- Siem Jan Koopman & Andre Lucas & Marcel Scharth, 2012. "Predicting Time-Varying Parameters with Parameter-Driven and Observation-Driven Models," Tinbergen Institute Discussion Papers 12-020/4, Tinbergen Institute.
- Jean-David Fermanian, 2020. "On the Dependence between Default Risk and Recovery Rates in Structural Models," Annals of Economics and Statistics, GENES, issue 140, pages 45-82.
- Lucas, André & Zhang, Xin, 2015.
"Score Driven Exponentially Weighted Moving Averages and Value-at-Risk Forecasting,"
Working Paper Series
309, Sveriges Riksbank (Central Bank of Sweden).
- Lucas, André & Zhang, Xin, 2016. "Score-driven exponentially weighted moving averages and Value-at-Risk forecasting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 293-302.
- André Lucas & Xin Zhang, 2014. "Score Driven exponentially Weighted Moving Average and Value-at-Risk Forecasting," Tinbergen Institute Discussion Papers 14-092/IV/DSF77, Tinbergen Institute, revised 09 Sep 2015.
- Eser, Fabian & Schwaab, Bernd, 2016. "Evaluating the impact of unconventional monetary policy measures: Empirical evidence from the ECB׳s Securities Markets Programme," Journal of Financial Economics, Elsevier, vol. 119(1), pages 147-167.
- Francisco (F.) Blasques & Andre (A.) Lucas & Andries van Vlodrop, 2017. "Finite Sample Optimality of Score-Driven Volatility Models," Tinbergen Institute Discussion Papers 17-111/III, Tinbergen Institute.
- Markus Leippold & Hanlin Yang, 2023. "Mixed‐frequency predictive regressions with parameter learning," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 1955-1972, December.
- Cem Cakmakli & Yasin Simsek, 2023. "Bridging the Covid-19 Data and the Epidemiological Model using Time-Varying Parameter SIRD Model," Papers 2301.13692, arXiv.org.
- Paul Labonne, 2020. "Asymmetric uncertainty : Nowcasting using skewness in real-time data," Papers 2012.02601, arXiv.org, revised May 2024.
- Anne Opschoor & André Lucas, 2019. "Time-varying tail behavior for realized kernels," Tinbergen Institute Discussion Papers 19-051/IV, Tinbergen Institute.
- Paul Labonne, 2022. "Asymmetric Uncertainty: Nowcasting Using Skewness in Real-time Data," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-23, Economic Statistics Centre of Excellence (ESCoE).
- Blasques, Francisco & Koopman, Siem Jan & Lucas, Andre & Schaumburg, Julia, 2014.
"Spillover dynamics for systemic risk measurement using spatial financial time series models,"
VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy
100632, Verein für Socialpolitik / German Economic Association.
- Francisco Blasques & Siem Jan Koopman & Andre Lucas & Julia Schaumburg, 2014. "Spillover Dynamics for Systemic Risk Measurement using Spatial Financial Time Series Models," Tinbergen Institute Discussion Papers 14-107/III, Tinbergen Institute.
- Blasques, Francisco & Koopman, Siem Jan & Lucas, Andre & Schaumburg, Julia, 2016. "Spillover dynamics for systemic risk measurement using spatial financial time series models," Journal of Econometrics, Elsevier, vol. 195(2), pages 211-223.
- Blasques, Francisco & Lucas, André & van Vlodrop, Andries C., 2021. "Finite Sample Optimality of Score-Driven Volatility Models: Some Monte Carlo Evidence," Econometrics and Statistics, Elsevier, vol. 19(C), pages 47-57.
- Olusanya E. Olubusoye & OlaOluwa S. Yaya, 2016. "Time series analysis of volatility in the petroleum pricing markets: the persistence, asymmetry and jumps in the returns series," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 40(3), pages 235-262, September.
- Vassallo, Danilo & Buccheri, Giuseppe & Corsi, Fulvio, 2021. "A DCC-type approach for realized covariance modeling with score-driven dynamics," International Journal of Forecasting, Elsevier, vol. 37(2), pages 569-586.
- Umlandt, Dennis, 2023. "Score-driven asset pricing: Predicting time-varying risk premia based on cross-sectional model performance," Journal of Econometrics, Elsevier, vol. 237(2).
- Francisco Blasques & Siem Jan Koopman & André Lucas, 2014. "Information Theoretic Optimality of Observation Driven Time Series Models," Tinbergen Institute Discussion Papers 14-046/III, Tinbergen Institute.
- Anna Dubinova & Andre Lucas & Sean Telg, 2021. "COVID-19, Credit Risk and Macro Fundamentals," Tinbergen Institute Discussion Papers 21-059/III, Tinbergen Institute.
- Mohamed CHIKHI & Claude DIEBOLT & Tapas MISHRA, 2019. "Does Predictive Ability of an Asset Price Rest in 'Memory'? Insights from a New Approach," Working Papers of BETA 2019-43, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
- Ha Nguyen, 2023. "Particle MCMC in forecasting frailty correlated default models with expert opinion," Papers 2304.11586, arXiv.org, revised Aug 2023.
- Francisco (F.) Blasques & Paolo Gorgi & Siem Jan (S.J.) Koopman, 2017. "Accelerating GARCH and Score-Driven Models: Optimality, Estimation and Forecasting," Tinbergen Institute Discussion Papers 17-059/III, Tinbergen Institute.
- Kun Liang & Cuiqing Jiang & Zhangxi Lin & Weihong Ning & Zelin Jia, 2017. "The nature of sellers’ cyber credit in C2C e-commerce: the perspective of social capital," Electronic Commerce Research, Springer, vol. 17(1), pages 133-147, March.
- Mario Cerrato & John Crosby & Minjoo Kim & Yang Zhao, 2015. "Correlated Defaults of UK Banks: Dynamics and Asymmetries," Working Papers 2015_24, Business School - Economics, University of Glasgow.
- Marco Bazzi & Francisco Blasques & Siem Jan Koopman & Andre Lucas, 2017.
"Time-Varying Transition Probabilities for Markov Regime Switching Models,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 38(3), pages 458-478, May.
- Marco Bazzi & Francisco Blasques & Siem Jan Koopman & Andre Lucas, 2014. "Time Varying Transition Probabilities for Markov Regime Switching Models," Tinbergen Institute Discussion Papers 14-072/III, Tinbergen Institute.
- Caterina Mendicino, 2014. "House prices and expectations," Research Bulletin, European Central Bank, vol. 21, pages 12-15.
- Leippold, Markus & Yang, Hanlin, 2019. "Particle filtering, learning, and smoothing for mixed-frequency state-space models," Econometrics and Statistics, Elsevier, vol. 12(C), pages 25-41.
- Telg, Sean & Dubinova, Anna & Lucas, Andre, 2023. "Covid-19, credit risk management modeling, and government support," Journal of Banking & Finance, Elsevier, vol. 147(C).
- Ryoko Ito, 2016. "Asymptotic Theory for Beta-t-GARCH," Cambridge Working Papers in Economics 1607, Faculty of Economics, University of Cambridge.
- Cerrato, Mario & Crosby, John & Kim, Minjoo & Zhao, Yang, 2015. "US Monetary and Fiscal Policies - Conflict or Cooperation?," SIRE Discussion Papers 2015-78, Scottish Institute for Research in Economics (SIRE).
- Francisco Blasques & Siem Jan Koopman & Andre Lucas, 2012. "Stationarity and Ergodicity of Univariate Generalized Autoregressive Score Processes," Tinbergen Institute Discussion Papers 12-059/4, Tinbergen Institute.
- Neves, César & Fernandes, Cristiano & Hoeltgebaum, Henrique, 2017. "Five different distributions for the Lee–Carter model of mortality forecasting: A comparison using GAS models," Insurance: Mathematics and Economics, Elsevier, vol. 75(C), pages 48-57.
- Ha Nguyen, 2023. "Particle MCMC in Forecasting Frailty-Correlated Default Models with Expert Opinion," JRFM, MDPI, vol. 16(7), pages 1-16, July.
- Antoine Djogbenou & Christian Gouri'eroux & Joann Jasiak & Maygol Bandehali, 2021. "Composite Likelihood for Stochastic Migration Model with Unobserved Factor," Papers 2109.09043, arXiv.org, revised Nov 2023.
- Andre Lucas & Anne Opschoor, 2016. "Fractional Integration and Fat Tails for Realized Covariance Kernels and Returns," Tinbergen Institute Discussion Papers 16-069/IV, Tinbergen Institute, revised 07 Jul 2017.
- Hirk, Rainer & Vana, Laura & Hornik, Kurt, 2022. "A corporate credit rating model with autoregressive errors," Journal of Empirical Finance, Elsevier, vol. 69(C), pages 224-240.
- Michel Ferreira Cardia Haddad & Szabolcs Blazsek & Philip Arestis & Franz Fuerst & Hsia Hua Sheng, 2023. "The two-component Beta-t-QVAR-M-lev: a new forecasting model," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(4), pages 379-401, December.
- Pawel Janus & André Lucas & Anne Opschoor & Dick J.C. van Dijk, 2014. "New HEAVY Models for Fat-Tailed Returns and Realized Covariance Kernels," Tinbergen Institute Discussion Papers 14-073/IV, Tinbergen Institute, revised 19 Aug 2015.
- James Wolter, 2013. "Separating the impact of macroeconomic variables and global frailty in event data," Economics Series Working Papers 667, University of Oxford, Department of Economics.
- Paloma Lopez-Garcia & Filippo di Mauro, 2014. "Assessing competitiveness: initial results from the new compnet micro-based database," Research Bulletin, European Central Bank, vol. 21, pages 2-7.
- Mario Cerrato & John Crosby & Minjoo Kim & Yang Zhao, 2015. "Modeling Dependence Structure and Forecasting Market Risk with Dynamic Asymmetric Copula," Working Papers 2015_15, Business School - Economics, University of Glasgow.
- Mariana Arozo B. de Melo & Cristiano A. C. Fernandes & Eduardo F. L. de Melo, 2018. "Forecasting aggregate claims using score‐driven time series models," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 72(3), pages 354-374, August.
- Babii, Andrii & Chen, Xi & Ghysels, Eric, 2019. "Commercial and Residential Mortgage Defaults: Spatial Dependence with Frailty," Journal of Econometrics, Elsevier, vol. 212(1), pages 47-77.
- Blazsek Szabolcs & Licht Adrian & Escribano Alvaro, 2021. "Identification of Seasonal Effects in Impulse Responses Using Score-Driven Multivariate Location Models," Journal of Econometric Methods, De Gruyter, vol. 10(1), pages 53-66, January.
- Xin Zhang & Drew Creal & Siem Jan Koopman & Andre Lucas, 2011.
"Modeling Dynamic Volatilities and Correlations under Skewness and Fat Tails,"
Tinbergen Institute Discussion Papers
11-078/2/DSF22, Tinbergen Institute.
Cited by:
- Schwaab, Bernd & Lucas, André & Zhang, Xin, 2013. "Conditional and joint credit risk," Working Paper Series 1621, European Central Bank.
- Andre Lucas & Bernd Schwaab & Xin Zhang, 2013. "Measuring Credit Risk in a Large Banking System: Econometric Modeling and Empirics," Tinbergen Institute Discussion Papers 13-063/IV/DSF56, Tinbergen Institute, revised 13 Oct 2014.
- Caballero, Diego & Lucas, André & Schwaab, Bernd & Zhang, Xin, 2019.
"Risk endogeneity at the lender/investor-of-last-resort,"
Working Paper Series
2225, European Central Bank.
- Caballero, Diego & Lucas, Andr e & Schwaab, Bernd & Zhang, Xin, 2019. "Risk endogeneity at the lender/investor-of-last-resort," Working Paper Series 382, Sveriges Riksbank (Central Bank of Sweden).
- Caballero, Diego & Lucas, André & Schwaab, Bernd & Zhang, Xin, 2020. "Risk endogeneity at the lender/investor-of-last-resort," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 283-297.
- Diego Caballero & André Lucas & Bernd Schwaab & Xin Zhang, 2019. "Risk endogeneity at the lender/investor-of-last-resort," BIS Working Papers 766, Bank for International Settlements.
- Xin Zhang & Bernd Schwaab & Andre Lucas, 2011.
"Conditional Probabilities and Contagion Measures for Euro Area Sovereign Default Risk,"
Tinbergen Institute Discussion Papers
11-176/2/DSF29, Tinbergen Institute, revised 28 Jun 2012.
- Bernd Schwaab, 2012. "Conditional probabilities and contagion measures for euro area sovereign default risk," Research Bulletin, European Central Bank, vol. 17, pages 6-11.
- Schwaab, Bernd & Lucas, André & Zhang, Xin, 2015.
"Modeling financial sector joint tail risk in the euro area,"
Working Paper Series
1837, European Central Bank.
- André Lucas & Bernd Schwaab & Xin Zhang, 2017. "Modeling Financial Sector Joint Tail Risk in the Euro Area," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 171-191, January.
- Lucas, André & Schwaab, Bernd & Zhang, Xin, 2015. "Modeling financial sector joint tail risk in the euro area," Working Paper Series 308, Sveriges Riksbank (Central Bank of Sweden).
- Harvey, A. & Sucarrat, G., 2012.
"EGARCH models with fat tails, skewness and leverage,"
Cambridge Working Papers in Economics
1236, Faculty of Economics, University of Cambridge.
- Harvey, Andrew & Sucarrat, Genaro, 2014. "EGARCH models with fat tails, skewness and leverage," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 320-338.
- Francisco Blasques & Siem Jan Koopman & Andre Lucas, 2012. "Stationarity and Ergodicity of Univariate Generalized Autoregressive Score Processes," Tinbergen Institute Discussion Papers 12-059/4, Tinbergen Institute.
- Lucas, André & Schwaab, Bernd & Zhang, Xin, 2013.
"Conditional euro area sovereign default risk,"
Working Paper Series
269, Sveriges Riksbank (Central Bank of Sweden).
- André Lucas & Bernd Schwaab & Xin Zhang, 2014. "Conditional Euro Area Sovereign Default Risk," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(2), pages 271-284, April.
- Jouchi Nakajima, 2017. "Bayesian analysis of multivariate stochastic volatility with skew return distribution," Econometric Reviews, Taylor & Francis Journals, vol. 36(5), pages 546-562, May.
- Bao, Te & Diks, Cees & Li, Hao, 2018. "A generalized CAPM model with asymmetric power distributed errors with an application to portfolio construction," Economic Modelling, Elsevier, vol. 68(C), pages 611-621.
- Drew Creal & Siem Jan Koopman & André Lucas, 2010.
"A Dynamic Multivariate Heavy-Tailed Model for Time-Varying Volatilities and Correlations,"
Tinbergen Institute Discussion Papers
10-032/2, Tinbergen Institute.
- Creal, Drew & Koopman, Siem Jan & Lucas, André, 2011. "A Dynamic Multivariate Heavy-Tailed Model for Time-Varying Volatilities and Correlations," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(4), pages 552-563.
- Drew Creal & Siem Jan Koopman & André Lucas, 2011. "A Dynamic Multivariate Heavy-Tailed Model for Time-Varying Volatilities and Correlations," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(4), pages 552-563, October.
Cited by:
- Guizzardi, Andrea & Ballestra, Luca Vincenzo & D'Innocenzo, Enzo, 2022. "Hotel dynamic pricing, stochastic demand and covid-19," Annals of Tourism Research, Elsevier, vol. 97(C).
- Anna Gloria Billé & Leopoldo Catania, 2018. "Dynamic Spatial Autoregressive Models with Time-varying Spatial Weighting Matrices," BEMPS - Bozen Economics & Management Paper Series BEMPS55, Faculty of Economics and Management at the Free University of Bozen.
- Andre Lucas & Anne Opschoor & Julia Schaumburg, 2016.
"Accounting for Missing Values in Score-Driven Time-Varying Parameter Models,"
Tinbergen Institute Discussion Papers
16-067/IV, Tinbergen Institute.
- Lucas, André & Opschoor, Anne & Schaumburg, Julia, 2016. "Accounting for missing values in score-driven time-varying parameter models," Economics Letters, Elsevier, vol. 148(C), pages 96-98.
- Harvey, A., 2021. "Score-driven time series models," Cambridge Working Papers in Economics 2133, Faculty of Economics, University of Cambridge.
- Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2013.
"Financial Risk Measurement for Financial Risk Management,"
Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1127-1220,
Elsevier.
- Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2011. "Financial Risk Measurement for Financial Risk Management," CREATES Research Papers 2011-37, Department of Economics and Business Economics, Aarhus University.
- Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2011. "Financial Risk Measurement for Financial Risk Management," PIER Working Paper Archive 11-037, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2012. "Financial Risk Measurement for Financial Risk Management," NBER Working Papers 18084, National Bureau of Economic Research, Inc.
- Lin Zhao & Sweder van Wijnbergen, 2015. "Asset Pricing in Incomplete Markets: Valuing Gas Storage Capacity," Tinbergen Institute Discussion Papers 15-104/VI/DSF95, Tinbergen Institute.
- Francisco Blasques & Siem Jan Koopman & Katarzyna Lasak & André Lucas, 2015. "In-Sample Bounds for Time-Varying Parameters of Observation Driven Models," Tinbergen Institute Discussion Papers 15-027/III, Tinbergen Institute, revised 07 Sep 2015.
- Ayala Astrid & Blazsek Szabolcs & Escribano Alvaro, 2023. "Anticipating extreme losses using score-driven shape filters," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 27(4), pages 449-484, September.
- Carlos Trucíos & Mauricio Zevallos & Luiz K. Hotta & André A. P. Santos, 2019. "Covariance Prediction in Large Portfolio Allocation," Econometrics, MDPI, vol. 7(2), pages 1-24, May.
- Mauro Bernardi & Leopoldo Catania, 2015. "Switching-GAS Copula Models With Application to Systemic Risk," Papers 1504.03733, arXiv.org, revised Jan 2016.
- Schwaab, Bernd & Lucas, André & Zhang, Xin, 2013. "Conditional and joint credit risk," Working Paper Series 1621, European Central Bank.
- Blasques, F. & Gorgi, P. & Koopman, S.J., 2019. "Accelerating score-driven time series models," Journal of Econometrics, Elsevier, vol. 212(2), pages 359-376.
- Djennad, Abdelmajid & Rigby, Robert & Stasinopoulos, Dimitrios & Voudouris, Vlasios & Eilers, Paul, 2015. "Beyond location and dispersion models: The Generalized Structural Time Series Model with Applications," MPRA Paper 62807, University Library of Munich, Germany.
- Enzo D’Innocenzo & Alessandra Luati & Mario Mazzocchi, 2023.
"A robust score-driven filter for multivariate time series,"
Econometric Reviews, Taylor & Francis Journals, vol. 42(5), pages 441-470, May.
- Enzo D'Innocenzo & Alessandra Luati & Mario Mazzocchi, 2020. "A Robust Score-Driven Filter for Multivariate Time Series," Papers 2009.01517, arXiv.org, revised Aug 2022.
- Bernardi, Mauro & Catania, Leopoldo, 2018. "Portfolio optimisation under flexible dynamic dependence modelling," Journal of Empirical Finance, Elsevier, vol. 48(C), pages 1-18.
- Drew Creal & Siem Jan Koopman & André Lucas & Marcin Zamojski, 2015. "Generalized Autoregressive Method of Moments," Tinbergen Institute Discussion Papers 15-138/III, Tinbergen Institute, revised 06 Jul 2018.
- Matthias R. Fengler & Helmut Herwartz & Christian Werner, 2012.
"A Dynamic Copula Approach to Recovering the Index Implied Volatility Skew,"
Journal of Financial Econometrics, Oxford University Press, vol. 10(3), pages 457-493, June.
- Matthias Fengler & Helmut Herwartz & Christian Werner, 2010. "A dynamic copula approach to recovering the index implied volatility skew," University of St. Gallen Department of Economics working paper series 2010 1132, Department of Economics, University of St. Gallen, revised Nov 2011.
- 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.
- Hannes Böhm & Julia Schaumburg & Lena Tonzer, 2022.
"Financial Linkages and Sectoral Business Cycle Synchronization: Evidence from Europe,"
IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 70(4), pages 698-734, December.
- Hannes Boehm & Julia Schaumburg & Lena Tonzer, 2020. "Financial Linkages and Sectoral Business Cycle Synchronization: Evidence from Europe," Tinbergen Institute Discussion Papers 20-008/III, Tinbergen Institute.
- Böhm, Hannes & Schaumburg, Julia & Tonzer, Lena, 2020. "Financial linkages and sectoral business cycle synchronisation: Evidence from Europe," IWH Discussion Papers 2/2020, Halle Institute for Economic Research (IWH).
- Blazsek, Szabolcs & Escribano, Álvaro & Licht, Adrian, 2019. "Markov-switching score-driven multivariate models: outlier-robust measurement of the relationships between world crude oil production and US industrial production," UC3M Working papers. Economics 29030, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Song, Shijia & Li, Handong, 2022. "Predicting VaR for China's stock market: A score-driven model based on normal inverse Gaussian distribution," International Review of Financial Analysis, Elsevier, vol. 82(C).
- Giacomo Bormetti & Fulvio Corsi, 2021. "A Lucas Critique Compliant SVAR model with Observation-driven Time-varying Parameters," Papers 2107.05263, arXiv.org, revised Feb 2022.
- Virbickaitė, Audronė & Nguyen, Hoang & Tran, Minh-Ngoc, 2023.
"Bayesian predictive distributions of oil returns using mixed data sampling volatility models,"
Resources Policy, Elsevier, vol. 86(PA).
- Virbickaite, Audrone & Nguyen, Hoang & Tran, Minh-Ngoc, 2023. "Bayesian Predictive Distributions of Oil Returns Using Mixed Data Sampling Volatility Models," Working Papers 2023:7, Örebro University, School of Business.
- Andre Lucas & Bernd Schwaab & Xin Zhang, 2013. "Measuring Credit Risk in a Large Banking System: Econometric Modeling and Empirics," Tinbergen Institute Discussion Papers 13-063/IV/DSF56, Tinbergen Institute, revised 13 Oct 2014.
- Caballero, Diego & Lucas, André & Schwaab, Bernd & Zhang, Xin, 2019.
"Risk endogeneity at the lender/investor-of-last-resort,"
Working Paper Series
2225, European Central Bank.
- Caballero, Diego & Lucas, Andr e & Schwaab, Bernd & Zhang, Xin, 2019. "Risk endogeneity at the lender/investor-of-last-resort," Working Paper Series 382, Sveriges Riksbank (Central Bank of Sweden).
- Caballero, Diego & Lucas, André & Schwaab, Bernd & Zhang, Xin, 2020. "Risk endogeneity at the lender/investor-of-last-resort," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 283-297.
- Diego Caballero & André Lucas & Bernd Schwaab & Xin Zhang, 2019. "Risk endogeneity at the lender/investor-of-last-resort," BIS Working Papers 766, Bank for International Settlements.
- Hafner, Christian & Herwartz, Helmut, 2020.
"Dynamic score driven independent component analysis,"
LIDAM Discussion Papers ISBA
2020031, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Hafner, Christian M. & Herwartz, Helmut, 2022. "Dynamic score driven independent component analysis," LIDAM Reprints ISBA 2022010, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Jean-Claude Hessing & Rutger-Jan Lange & Daniel Ralph, 2022. "This article establishes the Poisson optional stopping times (POST) method by Lange et al. (2020) as a near-universal method for solving liquidity-constrained American options, or, equivalently, penal," Tinbergen Institute Discussion Papers 22-007/IV, Tinbergen Institute.
- Francesco Calvori & Drew Creal & Siem Jan Koopman & Andre Lucas, 2014. "Testing for Parameter Instability in Competing Modeling Frameworks," Tinbergen Institute Discussion Papers 14-010/IV/DSF71, Tinbergen Institute.
- Kawakatsu Hiroyuki, 2021. "Simple Multivariate Conditional Covariance Dynamics Using Hyperbolically Weighted Moving Averages," Journal of Econometric Methods, De Gruyter, vol. 10(1), pages 33-52, January.
- Delle Monache, Davide & Petrella, Ivan & Venditti, Fabrizio, 2020.
"Price dividend ratio and long-run stock returns: a score driven state space model,"
Temi di discussione (Economic working papers)
1296, Bank of Italy, Economic Research and International Relations Area.
- Davide Delle Monache & Ivan Petrella & Fabrizio Venditti, 2021. "Price Dividend Ratio and Long-Run Stock Returns: A Score-Driven State Space Model," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(4), pages 1054-1065, October.
- Delle Monache, Davide & Petrella, Ivan & Venditti, Fabrizio, 2019. "Price Dividend Ratio and Long-Run Stock Returns: a Score Driven State Space Model," EMF Research Papers 29, Economic Modelling and Forecasting Group.
- Petrella, Ivan & Delle Monache, Davide & Venditti, Fabrizio, 2019. "Price Dividend Ratio and Long-Run Stock Returns: a Score Driven State Space Model," CEPR Discussion Papers 14107, C.E.P.R. Discussion Papers.
- Delle Monache, Davide & Venditti, Fabrizio & Petrella, Ivan, 2020. "Price dividend ratio and long-run stock returns: a score driven state space model," Working Paper Series 2369, European Central Bank.
- Ito, R., 2016. "Spline-DCS for Forecasting Trade Volume in High-Frequency Finance," Cambridge Working Papers in Economics 1606, Faculty of Economics, University of Cambridge.
- Blasques, Francisco & Ji, Jiangyu & Lucas, André, 2016. "Semiparametric score driven volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 58-69.
- Heil, Thomas L.A. & Peter, Franziska J. & Prange, Philipp, 2022. "Measuring 25 years of global equity market co-movement using a time-varying spatial model," Journal of International Money and Finance, Elsevier, vol. 128(C).
- Luati, Alessandra & Proietti, Tommaso, 2012.
"Maximum likelihood estimation of time series models: the Kalman filter and beyond,"
Working Papers
2012_02, University of Sydney Business School, Discipline of Business Analytics.
- Tommaso, Proietti & Alessandra, Luati, 2012. "Maximum likelihood estimation of time series models: the Kalman filter and beyond," MPRA Paper 39600, University Library of Munich, Germany.
- Tommaso Proietti & Alessandra Luati, 2013. "Maximum likelihood estimation of time series models: the Kalman filter and beyond," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 15, pages 334-362, Edward Elgar Publishing.
- Xin Zhang & Bernd Schwaab & Andre Lucas, 2011.
"Conditional Probabilities and Contagion Measures for Euro Area Sovereign Default Risk,"
Tinbergen Institute Discussion Papers
11-176/2/DSF29, Tinbergen Institute, revised 28 Jun 2012.
- Bernd Schwaab, 2012. "Conditional probabilities and contagion measures for euro area sovereign default risk," Research Bulletin, European Central Bank, vol. 17, pages 6-11.
- André Lucas & Julia Schaumburg & Bernd Schwaab, 2019.
"Bank Business Models at Zero Interest Rates,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 542-555, July.
- Andre Lucas & Julia Schaumburg & Bernd Schwaab, 2016. "Bank Business Models at Zero Interest Rates," Tinbergen Institute Discussion Papers 16-066/IV, Tinbergen Institute.
- Lucas, André & Schaumburg, Julia & Schwaab, Bernd, 2017. "Bank business models at zero interest rates," Working Paper Series 2084, European Central Bank.
- Kazim Azam & Andre Lucas, 2015. "Mixed Density based Copula Likelihood," Tinbergen Institute Discussion Papers 15-003/IV/DSF084, Tinbergen Institute.
- M. Caivano & A. Harvey, 2013.
"Two EGARCH models and one fat tail,"
Cambridge Working Papers in Economics
1326, Faculty of Economics, University of Cambridge.
- Michele Caivano & Andrew Harvey, 2014. "Two EGARCH models and one fat tail," Temi di discussione (Economic working papers) 954, Bank of Italy, Economic Research and International Relations Area.
- Ito, Ryoko, 2013. "Modeling Dynamic Diurnal Patterns in High-Frequency Financial Data," Cambridge Working Papers in Economics 1315, Faculty of Economics, University of Cambridge.
- Schwaab, Bernd & Lucas, André & Zhang, Xin, 2015.
"Modeling financial sector joint tail risk in the euro area,"
Working Paper Series
1837, European Central Bank.
- André Lucas & Bernd Schwaab & Xin Zhang, 2017. "Modeling Financial Sector Joint Tail Risk in the Euro Area," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 171-191, January.
- Lucas, André & Schwaab, Bernd & Zhang, Xin, 2015. "Modeling financial sector joint tail risk in the euro area," Working Paper Series 308, Sveriges Riksbank (Central Bank of Sweden).
- Gilles Boevi Koumou, 2020. "Diversification and portfolio theory: a review," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(3), pages 267-312, September.
- Guo, Dong & Zhou, Peng, 2021.
"Green Bonds as Hedging Assets before and after COVID: A Comparative Study between the US and China,"
Cardiff Economics Working Papers
E2021/28, Cardiff University, Cardiff Business School, Economics Section.
- Guo, Dong & Zhou, Peng, 2021. "Green bonds as hedging assets before and after COVID: A comparative study between the US and China," Energy Economics, Elsevier, vol. 104(C).
- Kyriazis, Nikolaos & Papadamou, Stephanos & Corbet, Shaen, 2020. "A systematic review of the bubble dynamics of cryptocurrency prices," Research in International Business and Finance, Elsevier, vol. 54(C).
- Andrew Harvey & Ryoko Ito, 2017. "Modeling time series with zero observations," Economics Papers 2017-W01, Economics Group, Nuffield College, University of Oxford.
- Yarovaya, Larisa & Matkovskyy, Roman & Jalan, Akanksha, 2021.
"The effects of a “black swan” event (COVID-19) on herding behavior in cryptocurrency markets,"
Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
- Larisa Yarovaya & Roman Matkovskyy & Akanksha Jalan, 2021. "The effects of a “black swan” event (COVID-19) on herding behavior in cryptocurrency markets," Post-Print hal-03512931, HAL.
- Eric A. Beutner & Yicong Lin & Andre Lucas, 2023. "Consistency, distributional convergence, and optimality of score-driven filters," Tinbergen Institute Discussion Papers 23-051/III, Tinbergen Institute.
- Siem Jan Koopman & Rutger Lit & André Lucas, 2015. "Intraday Stock Price Dependence using Dynamic Discrete Copula Distributions," Tinbergen Institute Discussion Papers 15-037/III/DSF90, Tinbergen Institute.
- Escribano, Alvaro & Sucarrat, Genaro, 2016.
"Equation-by-Equation Estimation of Multivariate Periodic Electricity Price Volatility,"
MPRA Paper
72736, University Library of Munich, Germany.
- Escribano, Álvaro & Sucarrat, Genaro, 2016. "Equation-by-Equation Estimation of Multivariate Periodic Electricity Price Volatility," UC3M Working papers. Economics 23436, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Escribano, Alvaro & Sucarrat, Genaro, 2018. "Equation-by-equation estimation of multivariate periodic electricity price volatility," Energy Economics, Elsevier, vol. 74(C), pages 287-298.
- Andrew Harvey & Stephen Thiele, 2014.
"Testing against Changing Correlation,"
Cambridge Working Papers in Economics
1439, Faculty of Economics, University of Cambridge.
- Harvey, Andrew & Thiele, Stephen, 2016. "Testing against changing correlation," Journal of Empirical Finance, Elsevier, vol. 38(PB), pages 575-589.
- Harvey, A. & Sucarrat, G., 2012.
"EGARCH models with fat tails, skewness and leverage,"
Cambridge Working Papers in Economics
1236, Faculty of Economics, University of Cambridge.
- Harvey, Andrew & Sucarrat, Genaro, 2014. "EGARCH models with fat tails, skewness and leverage," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 320-338.
- Drew D. Creal & Jing Cynthia Wu, 2014.
"Estimation of Affine Term Structure Models with Spanned or Unspanned Stochastic Volatility,"
NBER Working Papers
20115, National Bureau of Economic Research, Inc.
- Creal, Drew D. & Wu, Jing Cynthia, 2015. "Estimation of affine term structure models with spanned or unspanned stochastic volatility," Journal of Econometrics, Elsevier, vol. 185(1), pages 60-81.
- Linton, Oliver & Wu, Jianbin, 2020. "A coupled component DCS-EGARCH model for intraday and overnight volatility," Journal of Econometrics, Elsevier, vol. 217(1), pages 176-201.
- Chong, Terence Tai Leung & Ding, Yue & Pang, Tianxiao, 2017.
"Extreme Risk Value and Dependence Structure of the China Securities Index 300,"
MPRA Paper
80556, University Library of Munich, Germany.
- Terence Tai-Leung Chong & Yue Ding & Tianxiao Pang, 2017. "Extreme Risk Value and Dependence Structure of the China Securities Index 300," Economics Bulletin, AccessEcon, vol. 37(1), pages 520-529.
- Bartels, Mariana & Ziegelmann, Flavio A., 2016. "Market risk forecasting for high dimensional portfolios via factor copulas with GAS dynamics," Insurance: Mathematics and Economics, Elsevier, vol. 70(C), pages 66-79.
- Bahcivan, Hulusi & Karahan, Cenk C., 2022. "High frequency correlation dynamics and day-of-the-week effect: A score-driven approach in an emerging market stock exchange," International Review of Financial Analysis, Elsevier, vol. 80(C).
- Francisco Blasques & Siem Jan Koopman & André Lucas, 2014. "Maximum Likelihood Estimation for correctly Specified Generalized Autoregressive Score Models: Feedback Effects, Contraction Conditions and Asymptotic Properties," Tinbergen Institute Discussion Papers 14-074/III, Tinbergen Institute.
- Blasques, Francisco & van Brummelen, Janneke & Koopman, Siem Jan & Lucas, André, 2022.
"Maximum likelihood estimation for score-driven models,"
Journal of Econometrics, Elsevier, vol. 227(2), pages 325-346.
- Francisco Blasques & Siem Jan Koopman & Andre Lucas, 2014. "Maximum Likelihood Estimation for Score-Driven Models," Tinbergen Institute Discussion Papers 14-029/III, Tinbergen Institute, revised 23 Oct 2017.
- Harvey,Andrew C., 2013.
"Dynamic Models for Volatility and Heavy Tails,"
Cambridge Books,
Cambridge University Press, number 9781107034723, November.
- Harvey,Andrew C., 2013. "Dynamic Models for Volatility and Heavy Tails," Cambridge Books, Cambridge University Press, number 9781107630024, November.
- Siem Jan Koopman & André Lucas & Marcel Scharth, 2016.
"Predicting Time-Varying Parameters with Parameter-Driven and Observation-Driven Models,"
The Review of Economics and Statistics, MIT Press, vol. 98(1), pages 97-110, March.
- Siem Jan Koopman & Andre Lucas & Marcel Scharth, 2012. "Predicting Time-Varying Parameters with Parameter-Driven and Observation-Driven Models," Tinbergen Institute Discussion Papers 12-020/4, Tinbergen Institute.
- Lucas, André & Zhang, Xin, 2015.
"Score Driven Exponentially Weighted Moving Averages and Value-at-Risk Forecasting,"
Working Paper Series
309, Sveriges Riksbank (Central Bank of Sweden).
- Lucas, André & Zhang, Xin, 2016. "Score-driven exponentially weighted moving averages and Value-at-Risk forecasting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 293-302.
- André Lucas & Xin Zhang, 2014. "Score Driven exponentially Weighted Moving Average and Value-at-Risk Forecasting," Tinbergen Institute Discussion Papers 14-092/IV/DSF77, Tinbergen Institute, revised 09 Sep 2015.
- Hafner, Christian M. & Wang, Linqi, 2023. "A dynamic conditional score model for the log correlation matrix," Journal of Econometrics, Elsevier, vol. 237(2).
- Creal, Drew D. & Tsay, Ruey S., 2015. "High dimensional dynamic stochastic copula models," Journal of Econometrics, Elsevier, vol. 189(2), pages 335-345.
- Francisco (F.) Blasques & Andre (A.) Lucas & Andries van Vlodrop, 2017. "Finite Sample Optimality of Score-Driven Volatility Models," Tinbergen Institute Discussion Papers 17-111/III, Tinbergen Institute.
- Szabolcs Blazsek & Alvaro Escribano, 2022.
"Robust Estimation and Forecasting of Climate Change Using Score-Driven Ice-Age Models,"
Econometrics, MDPI, vol. 10(1), pages 1-29, February.
- Escribano, Álvaro & Blazsek, Szabolcs, 2021. "Robust estimation and forecasting of climate change using score-driven ice-age models," UC3M Working papers. Economics 33453, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Roman Matkovskyy, 2019.
"Extremal Economic (Inter)Dependence Studies: A Case of the Eastern European Countries,"
Post-Print
hal-02332090, HAL.
- Roman Matkovskyy, 2019. "Extremal Economic (Inter)Dependence Studies: A Case of the Eastern European Countries," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(3), pages 667-698, September.
- Michele Caivano & Andrew Harvey, 2014.
"Time series models with an EGB2 conditional distribution,"
Temi di discussione (Economic working papers)
947, Bank of Italy, Economic Research and International Relations Area.
- Michele Caivano & Andrew Harvey, 2014. "Time-series models with an EGB2 conditional distribution," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(6), pages 558-571, November.
- M. Caivano & A. Harvey, 2013. "Time series models with an EGB2 conditional distribution," Cambridge Working Papers in Economics 1325, Faculty of Economics, University of Cambridge.
- Andrew Harvey & Rutger-Jan Lange, 2015.
"Volatility Modeling with a Generalized t-distribution,"
Cambridge Working Papers in Economics
1517, Faculty of Economics, University of Cambridge.
- Tata Subba Rao & Granville Tunnicliffe Wilson & Andrew Harvey & Rutger-Jan Lange, 2017. "Volatility Modeling with a Generalized t Distribution," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(2), pages 175-190, March.
- Andrew Harvey & Rutger‐Jan Lange, 2018. "Modeling the Interactions between Volatility and Returns using EGARCH‐M," Journal of Time Series Analysis, Wiley Blackwell, vol. 39(6), pages 909-919, November.
- Anne Opschoor & André Lucas & Istvan Barra & Dick van Dijk, 2019.
"Closed-Form Multi-Factor Copula Models with Observation-Driven Dynamic Factor Loadings,"
Tinbergen Institute Discussion Papers
19-013/IV, Tinbergen Institute, revised 23 Oct 2019.
- Anne Opschoor & André Lucas & István Barra & Dick van Dijk, 2021. "Closed-Form Multi-Factor Copula Models With Observation-Driven Dynamic Factor Loadings," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(4), pages 1066-1079, October.
- Francisco Blasques & Siem Jan Koopman & Katarzyna Lasak & André Lucas, 2015.
"In-Sample Confidence Bands and Out-of-Sample Forecast Bands for Time-Varying Parameters in Observation Driven Models,"
Tinbergen Institute Discussion Papers
15-083/III, Tinbergen Institute.
- Blasques, Francisco & Koopman, Siem Jan & Łasak, Katarzyna & Lucas, André, 2016. "In-sample confidence bands and out-of-sample forecast bands for time-varying parameters in observation-driven models," International Journal of Forecasting, Elsevier, vol. 32(3), pages 875-887.
- Blazsek, Szabolcs & Ayala, Astrid & Escribano, Álvaro, 2019. "Maximum likelihood estimation of score-driven models with dynamic shape parameters : an application to Monte Carlo value-at-risk," UC3M Working papers. Economics 28638, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Blasques, Francisco & Lucas, André & van Vlodrop, Andries C., 2021. "Finite Sample Optimality of Score-Driven Volatility Models: Some Monte Carlo Evidence," Econometrics and Statistics, Elsevier, vol. 19(C), pages 47-57.
- Blasques, Francisco & Koopman, Siem Jan & Lucas, Andre & Schaumburg, Julia, 2014.
"Spillover dynamics for systemic risk measurement using spatial financial time series models,"
VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy
100632, Verein für Socialpolitik / German Economic Association.
- Francisco Blasques & Siem Jan Koopman & Andre Lucas & Julia Schaumburg, 2014. "Spillover Dynamics for Systemic Risk Measurement using Spatial Financial Time Series Models," Tinbergen Institute Discussion Papers 14-107/III, Tinbergen Institute.
- Blasques, Francisco & Koopman, Siem Jan & Lucas, Andre & Schaumburg, Julia, 2016. "Spillover dynamics for systemic risk measurement using spatial financial time series models," Journal of Econometrics, Elsevier, vol. 195(2), pages 211-223.
- Olusanya E. Olubusoye & OlaOluwa S. Yaya, 2016. "Time series analysis of volatility in the petroleum pricing markets: the persistence, asymmetry and jumps in the returns series," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 40(3), pages 235-262, September.
- Vassallo, Danilo & Buccheri, Giuseppe & Corsi, Fulvio, 2021. "A DCC-type approach for realized covariance modeling with score-driven dynamics," International Journal of Forecasting, Elsevier, vol. 37(2), pages 569-586.
- Zhang, Yongli & Rolling, Craig & Yang, Yuhong, 2021. "Estimating and forecasting dynamic correlation matrices: A nonlinear common factor approach," Journal of Multivariate Analysis, Elsevier, vol. 183(C).
- Blasques, F. & Francq, Christian & Laurent, Sébastien, 2024. "Autoregressive conditional betas," Journal of Econometrics, Elsevier, vol. 238(2).
- Peter Reinhard Hansen & Chen Tong, 2024. "Convolution-t Distributions," Papers 2404.00864, arXiv.org.
- Umlandt, Dennis, 2023. "Score-driven asset pricing: Predicting time-varying risk premia based on cross-sectional model performance," Journal of Econometrics, Elsevier, vol. 237(2).
- Francisco Blasques & Siem Jan Koopman & André Lucas, 2014. "Information Theoretic Optimality of Observation Driven Time Series Models," Tinbergen Institute Discussion Papers 14-046/III, Tinbergen Institute.
- Blasques, Francisco & Nientker, Marc, 2023. "Stochastic properties of nonlinear locally-nonstationary filters," Journal of Econometrics, Elsevier, vol. 235(2), pages 2082-2095.
- Buccheri, Giuseppe & Corsi, Fulvio & Flandoli, Franco & Livieri, Giulia, 2021. "The continuous-time limit of score-driven volatility models," Journal of Econometrics, Elsevier, vol. 221(2), pages 655-675.
- Blazsek, Szabolcs & Escribano, Álvaro & Licht, Adrian, 2019. "Co-integration and common trends analysis with score-driven models : an application to the federal funds effective rate and US inflation rate," UC3M Working papers. Economics 28451, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Blazsek, Szabolcs & Ayala, Astrid & Escribano, Álvaro, 2019. "Score-driven time series models with dynamic shape : an application to the Standard & Poor's 500 index," UC3M Working papers. Economics 28133, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Francisco (F.) Blasques & Paolo Gorgi & Siem Jan (S.J.) Koopman, 2017. "Accelerating GARCH and Score-Driven Models: Optimality, Estimation and Forecasting," Tinbergen Institute Discussion Papers 17-059/III, Tinbergen Institute.
- Ellington, Michael, 2022. "Fat tails, serial dependence, and implied volatility index connections," European Journal of Operational Research, Elsevier, vol. 299(2), pages 768-779.
- Lin, Min-Bin & Wang, Bingling & Bocart, Fabian Y.R.P. & Hafner, Christian M. & Härdle, Wolfgang K., 2022. "DAI Digital Art Index : a robust price index for heterogeneous digital assets," LIDAM Discussion Papers ISBA 2022036, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Marco Bazzi & Francisco Blasques & Siem Jan Koopman & Andre Lucas, 2017.
"Time-Varying Transition Probabilities for Markov Regime Switching Models,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 38(3), pages 458-478, May.
- Marco Bazzi & Francisco Blasques & Siem Jan Koopman & Andre Lucas, 2014. "Time Varying Transition Probabilities for Markov Regime Switching Models," Tinbergen Institute Discussion Papers 14-072/III, Tinbergen Institute.
- Harvey, A. & Luati, A., 2012.
"Filtering with heavy tails,"
Cambridge Working Papers in Economics
1255, Faculty of Economics, University of Cambridge.
- Andrew Harvey & Alessandra Luati, 2014. "Filtering With Heavy Tails," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(507), pages 1112-1122, September.
- Fernanda Maria Müller & Fábio M Bayer, 2017. "Improved two-component tests in Beta-Skew-t-EGARCH models," Economics Bulletin, AccessEcon, vol. 37(4), pages 2364-2373.
- Chen, Cathy Yi-Hsuan & Hafner, Christian, 2019.
"Sentiment-Induced Bubbles in the Cryptocurrency Market,"
LIDAM Reprints ISBA
2019053, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Cathy Yi-Hsuan Chen & Christian M. Hafner, 2019. "Sentiment-Induced Bubbles in the Cryptocurrency Market," JRFM, MDPI, vol. 12(2), pages 1-12, April.
- Creal, Drew & Koopman, Siem Jan & Lucas, André & Zamojski, Marcin, 2024. "Observation-driven filtering of time-varying parameters using moment conditions," Journal of Econometrics, Elsevier, vol. 238(2).
- Song, Shijia & Tian, Fei & Li, Handong, 2021. "An intraday-return-based Value-at-Risk model driven by dynamic conditional score with censored generalized Pareto distribution," Journal of Asian Economics, Elsevier, vol. 74(C).
- Rutger-Jan Lange & Andre Lucas & Arjen H. Siegmann, 2016. "Score-Driven Systemic Risk Signaling for European Sovereign Bond Yields and CDS Spreads," Tinbergen Institute Discussion Papers 16-064/IV, Tinbergen Institute.
- Giuseppe Buccheri & Giacomo Bormetti & Fulvio Corsi & Fabrizio Lillo, 2018. "A Score-Driven Conditional Correlation Model for Noisy and Asynchronous Data: an Application to High-Frequency Covariance Dynamics," Papers 1803.04894, arXiv.org, revised Mar 2019.
- Ryoko Ito, 2016. "Asymptotic Theory for Beta-t-GARCH," Cambridge Working Papers in Economics 1607, Faculty of Economics, University of Cambridge.
- Bram van Os, 2023. "Information-Theoretic Time-Varying Density Modeling," Tinbergen Institute Discussion Papers 23-037/III, Tinbergen Institute.
- Aknouche, Abdelhakim & Francq, Christian, 2023.
"Two-stage weighted least squares estimator of the conditional mean of observation-driven time series models,"
Journal of Econometrics, Elsevier, vol. 237(2).
- Aknouche, Abdelhakim & Francq, Christian, 2019. "Two-stage weighted least squares estimator of the conditional mean of observation-driven time series models," MPRA Paper 97382, University Library of Munich, Germany.
- Lin Zhao & Sweder van Wijnbergen, 2017.
"Decision-making in incomplete markets with ambiguity—a case study of a gas field acquisition,"
Quantitative Finance, Taylor & Francis Journals, vol. 17(11), pages 1759-1782, November.
- Lin Zhao & Sweder van Wijnbergen, 2014. "Decision Making in Incomplete Markets with Ambiguity -- A Case Study of a Gas Field Acquisition," Tinbergen Institute Discussion Papers 14-149/VI, Tinbergen Institute.
- Janus, Paweł & Koopman, Siem Jan & Lucas, André, 2014.
"Long memory dynamics for multivariate dependence under heavy tails,"
Journal of Empirical Finance, Elsevier, vol. 29(C), pages 187-206.
- Pawel Janus & Siem Jan Koopman & André Lucas, 2011. "Long Memory Dynamics for Multivariate Dependence under Heavy Tails," Tinbergen Institute Discussion Papers 11-175/2/DSF28, Tinbergen Institute.
- Karim M Abadir, 2023. "Explicit minimal representation of variance matrices, and its implication for dynamic volatility models," The Econometrics Journal, Royal Economic Society, vol. 26(1), pages 88-104.
- Andrew Harvey & Rutger-Jan Lange, 2015. "Modeling the Interactions between Volatility and Returns," Cambridge Working Papers in Economics 1518, Faculty of Economics, University of Cambridge.
- Ruey S. Tsay & Mohsen Pourahmadi, 2017. "Modelling structured correlation matrices," Biometrika, Biometrika Trust, vol. 104(1), pages 237-242.
- Francisco Blasques & Siem Jan Koopman & Andre Lucas, 2012. "Stationarity and Ergodicity of Univariate Generalized Autoregressive Score Processes," Tinbergen Institute Discussion Papers 12-059/4, Tinbergen Institute.
- Galin Todorov & Prasad Bidarkota, 2014. "Time-varying financial spillovers from the US to frontier markets," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 7(2), pages 246-283, September.
- Mohamed El Ghourabi & Asma Nani & Imed Gammoudi, 2021. "A value‐at‐risk computation based on heavy‐tailed distribution for dynamic conditional score models," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2790-2799, April.
- Michel Ferreira Cardia Haddad & Szabolcs Blazsek & Philip Arestis & Franz Fuerst & Hsia Hua Sheng, 2023. "The two-component Beta-t-QVAR-M-lev: a new forecasting model," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(4), pages 379-401, December.
- Andre Lucas & Anne Opschoor, 2016. "Fractional Integration and Fat Tails for Realized Covariance Kernels and Returns," Tinbergen Institute Discussion Papers 16-069/IV, Tinbergen Institute, revised 07 Jul 2017.
- Giuseppe Buccheri & Stefano Grassi & Giorgio Vocalelli, 2021. "Estimating Risk in Illiquid Markets: a Model of Market Friction with Stochastic Volatility," CEIS Research Paper 506, Tor Vergata University, CEIS, revised 08 Nov 2021.
- Sonia Benito Muela & Carmen López-Martín & Mª Ángeles Navarro, 2017. "The Role of the Skewed Distributions in the Framework of Extreme Value Theory (EVT)," International Business Research, Canadian Center of Science and Education, vol. 10(11), pages 88-102, November.
- Krupskii, Pavel & Joe, Harry, 2020. "Flexible copula models with dynamic dependence and application to financial data," Econometrics and Statistics, Elsevier, vol. 16(C), pages 148-167.
- Tatjana Dahlhaus & Julia Schaumburg & Tatevik Sekhposyan, 2021.
"Networking the Yield Curve: Implications for Monetary Policy,"
Staff Working Papers
21-4, Bank of Canada.
- Dalhaus, Tatjana & Schaumburg, Julia & Sekhposyan, Tatevik, 2021. "Networking the yield curve: implications for monetary policy," Working Paper Series 2532, European Central Bank.
- Francisco (F.) Blasques & Marc Nientker, 2017. "A Stochastic Recurrence Equation Approach to Stationarity and phi-Mixing of a Class of Nonlinear ARCH Models," Tinbergen Institute Discussion Papers 17-072/III, Tinbergen Institute.
- Hetland, Simon & Pedersen, Rasmus Søndergaard & Rahbek, Anders, 2023. "Dynamic conditional eigenvalue GARCH," Journal of Econometrics, Elsevier, vol. 237(2).
- Sergio Contreras-Espinoza & Francisco Novoa-Muñoz & Szabolcs Blazsek & Pedro Vidal & Christian Caamaño-Carrillo, 2022. "COVID-19 Active Case Forecasts in Latin American Countries Using Score-Driven Models," Mathematics, MDPI, vol. 11(1), pages 1-17, December.
- Lu, Yunzhi & Li, Jie & Yang, Haisheng, 2021. "Time-varying inter-urban housing price spillovers in China: Causes and consequences," Journal of Asian Economics, Elsevier, vol. 77(C).
- Andrew J. Patton & Yasin Simsek, 2023. "Generalized Autoregressive Score Trees and Forests," Papers 2305.18991, arXiv.org.
- Leopoldo Catania, 2016. "Dynamic Adaptive Mixture Models," Papers 1603.01308, arXiv.org, revised Jan 2023.
- Deniz Erer, 2023. "The Impact of News Related Covid-19 on Exchange Rate Volatility:A New Evidence From Generalized Autoregressive Score Model," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(38), pages 105-126, June.
- Hasanov, Akram Shavkatovich & Poon, Wai Ching & Al-Freedi, Ajab & Heng, Zin Yau, 2018. "Forecasting volatility in the biofuel feedstock markets in the presence of structural breaks: A comparison of alternative distribution functions," Energy Economics, Elsevier, vol. 70(C), pages 307-333.
- Pawel Janus & André Lucas & Anne Opschoor & Dick J.C. van Dijk, 2014. "New HEAVY Models for Fat-Tailed Returns and Realized Covariance Kernels," Tinbergen Institute Discussion Papers 14-073/IV, Tinbergen Institute, revised 19 Aug 2015.
- Lucas, André & Schwaab, Bernd & Zhang, Xin, 2013.
"Conditional euro area sovereign default risk,"
Working Paper Series
269, Sveriges Riksbank (Central Bank of Sweden).
- André Lucas & Bernd Schwaab & Xin Zhang, 2014. "Conditional Euro Area Sovereign Default Risk," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(2), pages 271-284, April.
- Roberto Casarin & Marco Tronzano & Domenico Sartore, 2013. "Bayesian Markov Switching Stochastic Correlation Models," Working Papers 2013:11, Department of Economics, University of Venice "Ca' Foscari".
- Jiangyu Ji & Andre Lucas, 2012. "A New Semiparametric Volatility Model," Tinbergen Institute Discussion Papers 12-055/2/DSF35, Tinbergen Institute.
- Andres, P. & Harvey, A., 2012. "The Dyanamic Location/Scale Model: with applications to intra-day financial data," Cambridge Working Papers in Economics 1240, Faculty of Economics, University of Cambridge.
- Xin Zhang & Drew Creal & Siem Jan Koopman & Andre Lucas, 2011. "Modeling Dynamic Volatilities and Correlations under Skewness and Fat Tails," Tinbergen Institute Discussion Papers 11-078/2/DSF22, Tinbergen Institute.
- Kris Boudt & Jon Danielsson & Siem Jan Koopman & Andre Lucas, 2012. "Regime switches in the volatility and correlation of financial institutions," Working Paper Research 227, National Bank of Belgium.
- Blasques, Francisco & van Brummelen, Janneke & Gorgi, Paolo & Koopman, Siem Jan, 2024. "Maximum Likelihood Estimation for Non-Stationary Location Models with Mixture of Normal Distributions," Journal of Econometrics, Elsevier, vol. 238(1).
- Francisco Blasques & Andre Lucas & Erkki Silde, 2013. "Stationarity and Ergodicity Regions for Score Driven Dynamic Correlation Models," Tinbergen Institute Discussion Papers 13-097/IV/DSF59, Tinbergen Institute.
- Caterina Schiavoni & Siem Jan Koopman & Franz Palm & Stephan Smeekes & Jan van den Brakel, 2021. "Time-varying state correlations in state space models and their estimation via indirect inference," Tinbergen Institute Discussion Papers 21-020/III, Tinbergen Institute.
- Andries C. van Vlodrop & Andre (A.) Lucas, 2018. "Estimation Risk and Shrinkage in Vast-Dimensional Fundamental Factor Models," Tinbergen Institute Discussion Papers 18-099/III, Tinbergen Institute.
- Roberto Casarin & Domenico Sartore & Marco Tronzano, 2018. "A Bayesian Markov-Switching Correlation Model for Contagion Analysis on Exchange Rate Markets," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 101-114, January.
- Drew Creal & Siem Jan Koopman & Andre Lucas, 2009.
"A General Framework for Observation Driven Time-Varying Parameter Models,"
Global COE Hi-Stat Discussion Paper Series
gd08-038, Institute of Economic Research, Hitotsubashi University.
- Drew Creal & Siem Jan Koopman & André Lucas, 2008. "A General Framework for Observation Driven Time-Varying Parameter Models," Tinbergen Institute Discussion Papers 08-108/4, Tinbergen Institute.
Cited by:
- Shinya Fukui, 2020. "Business Cycle Spatial Synchronization: Measuring a Synchronization Parameter," Discussion Papers 2009, Graduate School of Economics, Kobe University.
- Jiang, Kunliang & Ye, Wuyi, 2022. "Does the asymmetric dependence volatility affect risk spillovers between the crude oil market and BRICS stock markets?," Economic Modelling, Elsevier, vol. 117(C).
- Neil Shephard, 2013.
"Martingale unobserved component models,"
Economics Series Working Papers
644, University of Oxford, Department of Economics.
- Neil Shephard, 2013. "Martingale unobserved component models," Economics Papers 2013-W01, Economics Group, Nuffield College, University of Oxford.
- Syed Jawad Hussain Shahzad & Elie Bouri & Mobeen Ur Rehman & Muhammad Abubakr Naeem & Tareq Saeed, 2022. "Oil price risk exposure of BRIC stock markets and hedging effectiveness," Annals of Operations Research, Springer, vol. 313(1), pages 145-170, June.
- Francisco Blasques & Vladim'ir Hol'y & Petra Tomanov'a, 2018.
"Zero-Inflated Autoregressive Conditional Duration Model for Discrete Trade Durations with Excessive Zeros,"
Papers
1812.07318, arXiv.org, revised May 2024.
- Francisco Blasques & Vladimir Holy & Petra Tomanova, 2019. "Zero-Inflated Autoregressive Conditional Duration Model for Discrete Trade Durations with Excessive Zeros," Tinbergen Institute Discussion Papers 19-004/III, Tinbergen Institute.
- Francq, Christian & Zakoian, Jean-Michel, 2023.
"Local Asymptotic Normality Of General Conditionally Heteroskedastic And Score-Driven Time-Series Models,"
Econometric Theory, Cambridge University Press, vol. 39(5), pages 1067-1092, October.
- Francq, Christian & Zakoian, Jean-Michel, 2021. "Local asymptotic normality of general conditionally heteroskedastic and score-driven time-series models," MPRA Paper 106542, University Library of Munich, Germany.
- Christian Francq & Jean-Michel Zakoïan, 2022. "Local Asymptotic Normality of General Conditionally Heteroskedastic and Score-Driven Time-Series Models," Working Papers 2022-06, Center for Research in Economics and Statistics.
- David E. Allen & Michael McAleer & Marcel Scharth, 2014.
"Asymmetric Realized Volatility Risk,"
Documentos de Trabajo del ICAE
2014-16, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- David E. Allen & Michael McAleer & Marcel Scharth, 2014. "Asymmetric Realized Volatility Risk," JRFM, MDPI, vol. 7(2), pages 1-30, June.
- David E. Allen & Michael McAleer & Marcel Scharth, 2014. "Asymmetric Realized Volatility Risk," Working Papers in Economics 14/20, University of Canterbury, Department of Economics and Finance.
- David E. Allen & Michael McAleer & Marcel Scharth, 2014. "Asymmetric Realized Volatility Risk," Tinbergen Institute Discussion Papers 14-075/III, Tinbergen Institute.
- Virbickaitė, Audronė & Nguyen, Hoang & Tran, Minh-Ngoc, 2023.
"Bayesian predictive distributions of oil returns using mixed data sampling volatility models,"
Resources Policy, Elsevier, vol. 86(PA).
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- Sandra Bilek-Steindl, 2012.
"On the Change in the Austrian Business Cycle,"
OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2012(1), pages 1-18.
- Drew Creal & Siem Jan Koopman & Eric Zivot, 2008.
"Extracting a Robust U.S. Business Cycle Using a Time-Varying Multivariate Model-Based Bandpass Filter,"
Working Papers
UWEC-2008-15-FC, University of Washington, Department of Economics.
- Drew Creal & Siem Jan Koopman & Eric Zivot, 2010. "Extracting a robust US business cycle using a time-varying multivariate model-based bandpass filter," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 695-719.
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"Asset Prices, Credit and the Business Cycle,"
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2012-04, University of Stirling, Division of Economics.
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- Alexander Tsyplakov, 2011. "An introduction to state space modeling (in Russian)," Quantile, Quantile, issue 9, pages 1-24, July.
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"The Relationship between the Beveridge-Nelson Decomposition andUnobserved Component Models with Correlated Shocks,"
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- Proietti, Tommaso, 2009. "The Multistep Beveridge-Nelson Decomposition," MPRA Paper 15345, University Library of Munich, Germany.
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Articles
- Chernov, Mikhail & Creal, Drew & Hördahl, Peter, 2023.
"Sovereign credit and exchange rate risks: Evidence from Asia-Pacific local currency bonds,"
Journal of International Economics, Elsevier, vol. 140(C).
See citations under working paper version above.
- Mikhail Chernov & Drew Creal & Peter Hördahl, 2021. "Sovereign credit and exchange rate risks: evidence from Asia-Pacific local currency bonds," BIS Working Papers 918, Bank for International Settlements.
- Mikhail Chernov & Drew D. Creal & Peter Hördahl, 2020. "Sovereign Credit and Exchange Rate Risks: Evidence from Asia-Pacific Local Currency Bonds," NBER Working Papers 27500, National Bureau of Economic Research, Inc.
- Chernov, Mikhail & Creal, Drew & Hördahl, Peter, 2020. "Sovereign credit and exchange rate risks: Evidence from Asia-Pacific local currency bonds," CEPR Discussion Papers 14986, C.E.P.R. Discussion Papers.
- Mikhail Chernov & Drew Creal, 2023.
"International Yield Curves and Currency Puzzles,"
Journal of Finance, American Finance Association, vol. 78(1), pages 209-245, February.
See citations under working paper version above.
- Mikhail Chernov & Drew D. Creal, 2018. "International Yield Curves and Currency Puzzles," NBER Working Papers 25206, National Bureau of Economic Research, Inc.
- Chernov, Mikhail & Creal, Drew, 2022. "International yield curves and currency puzzles," CEPR Discussion Papers 13252, C.E.P.R. Discussion Papers.
- Mikhail Chernov & Drew Creal, 2021.
"The PPP View of Multihorizon Currency Risk Premiums,"
The Review of Financial Studies, Society for Financial Studies, vol. 34(6), pages 2728-2772.
Cited by:
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"Puzzling Exchange Rate Dynamics and Delayed Portfolio Adjustment,"
Swiss Finance Institute Research Paper Series
19-35, Swiss Finance Institute.
- Bacchetta, Philippe & van Wincoop, Eric, 2021. "Puzzling exchange rate dynamics and delayed portfolio adjustment," Journal of International Economics, Elsevier, vol. 131(C).
- Philippe Bacchetta & Eric van Wincoop, 2019. "Puzzling Exchange Rate Dynamics and Delayed Portfolio Adjustment," NBER Working Papers 26259, National Bureau of Economic Research, Inc.
- Philippe Bacchetta & Eric van Wincoop, 2018. "Puzzling Exchange Rate Dynamics and Delayed Portfolio Adjustment," 2018 Meeting Papers 675, Society for Economic Dynamics.
- Bacchetta, Philippe & van Wincoop, Eric, 2019. "Puzzling Exchange Rate Dynamics and Delayed Portfolio Adjustment," CEPR Discussion Papers 13839, C.E.P.R. Discussion Papers.
- Mikhail Chernov & Magnus Dahlquist & Lars Lochstoer, 2023.
"Pricing Currency Risks,"
Journal of Finance, American Finance Association, vol. 78(2), pages 693-730, April.
- Chernov, Mikhail & Dahlquist, Magnus & Lochstoer, Lars, 2020. "Pricing Currency Risks," CEPR Discussion Papers 15571, C.E.P.R. Discussion Papers.
- Mikhail Chernov & Magnus Dahlquist & Lars A. Lochstoer, 2020. "Pricing Currency Risks," NBER Working Papers 28260, National Bureau of Economic Research, Inc.
- Dahlquist, Magnus & Pénasse, Julien, 2022. "The missing risk premium in exchange rates," Journal of Financial Economics, Elsevier, vol. 143(2), pages 697-715.
- Hansen, Anne Lundgaard, 2021. "Modeling persistent interest rates with double-autoregressive processes," Journal of Banking & Finance, Elsevier, vol. 133(C).
- Philippe Bacchetta & Eric van Wincoop, 2019.
"Puzzling Exchange Rate Dynamics and Delayed Portfolio Adjustment,"
Swiss Finance Institute Research Paper Series
19-35, Swiss Finance Institute.
- Drew D. Creal & Jing Cynthia Wu, 2020.
"Bond risk premia in consumption‐based models,"
Quantitative Economics, Econometric Society, vol. 11(4), pages 1461-1484, November.
See citations under working paper version above.
- Drew D. Creal & Jing Cynthia Wu, 2016. "Bond Risk Premia in Consumption-based Models," NBER Working Papers 22183, National Bureau of Economic Research, Inc.
- Drew D. Creal, 2017.
"A Class of Non-Gaussian State Space Models With Exact Likelihood Inference,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(4), pages 585-597, October.
Cited by:
- Roberto Leon-Gonzalez, 2018.
"Efficient Bayesian Inference in Generalized Inverse Gamma Processes for Stochastic Volatility,"
GRIPS Discussion Papers
17-16, National Graduate Institute for Policy Studies.
- Roberto Leon-Gonzalez, 2014. "Efficient Bayesian Inference in Generalized Inverse Gamma Processes for Stochastic Volatility," Working Paper series 19_14, Rimini Centre for Economic Analysis.
- Roberto León-González, 2019. "Efficient Bayesian inference in generalized inverse gamma processes for stochastic volatility," Econometric Reviews, Taylor & Francis Journals, vol. 38(8), pages 899-920, September.
- Roberto Leon-Gonzalez, 2014. "Efficient Bayesian Inference in Generalized Inverse Gamma Processes for Stochastic Volatility," GRIPS Discussion Papers 14-12, National Graduate Institute for Policy Studies.
- Roberto Leon-Gonzalez, 2015. "Efficient Bayesian Inference in Generalized Inverse Gamma Processes for Stochastic Volatility," GRIPS Discussion Papers 15-17, National Graduate Institute for Policy Studies.
- Andras Fulop & Jeremy Heng & Junye Li, 2022. "Efficient Likelihood-based Estimation via Annealing for Dynamic Structural Macrofinance Models," Papers 2201.01094, arXiv.org.
- Fulop, Andras & Heng, Jeremy & Li, Junye & Liu, Hening, 2022. "Bayesian estimation of long-run risk models using sequential Monte Carlo," Journal of Econometrics, Elsevier, vol. 228(1), pages 62-84.
- Hong Li & Yang Lu, 2018. "A Bayesian non-parametric model for small population mortality," Post-Print hal-02419000, HAL.
- Tevfik Aktekin & Nicholas G. Polson & Refik Soyer, 2020. "A family of multivariate non‐gaussian time series models," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(5), pages 691-721, September.
- Roberto Leon-Gonzalez & Blessings Majoni, 2023. "Exact Likelihood for Inverse Gamma Stochastic Volatility Models," Working Paper series 23-11, Rimini Centre for Economic Analysis.
- Yang Lu, 2020. "A simple parameter‐driven binary time series model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 187-199, March.
- Roberto Leon-Gonzalez, 2018.
"Efficient Bayesian Inference in Generalized Inverse Gamma Processes for Stochastic Volatility,"
GRIPS Discussion Papers
17-16, National Graduate Institute for Policy Studies.
- Francesco Calvori & Drew Creal & Siem Jan Koopman & André Lucas, 2017.
"Testing for Parameter Instability across Different Modeling Frameworks,"
Journal of Financial Econometrics, Oxford University Press, vol. 15(2), pages 223-246.
Cited by:
- Palumbo, D., 2021. "Testing and Modelling Time Series with Time Varying Tails," Cambridge Working Papers in Economics 2111, Faculty of Economics, University of Cambridge.
- Andrew Harvey & Stephen Thiele, 2014.
"Testing against Changing Correlation,"
Cambridge Working Papers in Economics
1439, Faculty of Economics, University of Cambridge.
- Harvey, Andrew & Thiele, Stephen, 2016. "Testing against changing correlation," Journal of Empirical Finance, Elsevier, vol. 38(PB), pages 575-589.
- Fuentes, Fernanda & Herrera, Rodrigo & Clements, Adam, 2023. "Forecasting extreme financial risk: A score-driven approach," International Journal of Forecasting, Elsevier, vol. 39(2), pages 720-735.
- Carlo Campajola & Domenico Di Gangi & Fabrizio Lillo & Daniele Tantari, 2020. "Modelling time-varying interactions in complex systems: the Score Driven Kinetic Ising Model," Papers 2007.15545, arXiv.org, revised Aug 2021.
- Delle Monache, Davide & De Polis, Andrea & Petrella, Ivan, 2021.
"Modeling and forecasting macroeconomic downside risk,"
Temi di discussione (Economic working papers)
1324, Bank of Italy, Economic Research and International Relations Area.
- Delle-Monache, Davide & De-Polis, Andrea & Petrella, Ivan, 2020. "Modelling and Forecasting Macroeconomic Downside Risk," EMF Research Papers 34, Economic Modelling and Forecasting Group.
- Petrella, Ivan & Delle Monache, Davide & De Polis, Andrea, 2022. "Modeling and Forecasting Macroeconomic Downside Risk," CEPR Discussion Papers 15109, C.E.P.R. Discussion Papers.
- F. Campigli & G. Bormetti & F. Lillo, 2022. "Measuring price impact and information content of trades in a time-varying setting," Papers 2212.12687, arXiv.org, revised Dec 2023.
- Cem Cakmakli & Yasin Simsek, 2023. "Bridging the Covid-19 Data and the Epidemiological Model using Time-Varying Parameter SIRD Model," Papers 2301.13692, arXiv.org.
- Drew D. Creal & Jing Cynthia Wu, 2017.
"Monetary Policy Uncertainty And Economic Fluctuations,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 58(4), pages 1317-1354, November.
See citations under working paper version above.
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"Estimation and Inference in Factor Copula Models with Exogenous Covariates,"
Papers
2107.03366, arXiv.org, revised Dec 2022.
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DES - Working Papers. Statistics and Econometrics. WS
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Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(3), pages 430-444, July.
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Journal of Econometrics, Elsevier, vol. 237(2).
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The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 898-915, December.
See citations under working paper version above.
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"Generalized Autoregressive Score Models With Applications,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(5), pages 777-795, August.
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"Observation-Driven Mixed-Measurement Dynamic Factor Models with an Application to Credit Risk,"
The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 898-915, December.
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- Maziar Sahamkhadam, 2021. "Dynamic copula-based expectile portfolios," Journal of Asset Management, Palgrave Macmillan, vol. 22(3), pages 209-223, May.
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"Extremal Economic (Inter)Dependence Studies: A Case of the Eastern European Countries,"
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- Anna Dubinova & Andre Lucas & Sean Telg, 2021. "COVID-19, Credit Risk and Macro Fundamentals," Tinbergen Institute Discussion Papers 21-059/III, Tinbergen Institute.
- Fabio Busetti & Michele Caivano & Lisa Rodano, 2015. "On the conditional distribution of euro area inflation forecast," Temi di discussione (Economic working papers) 1027, Bank of Italy, Economic Research and International Relations Area.
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- Marco Bazzi & Francisco Blasques & Siem Jan Koopman & Andre Lucas, 2017.
"Time-Varying Transition Probabilities for Markov Regime Switching Models,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 38(3), pages 458-478, May.
- Marco Bazzi & Francisco Blasques & Siem Jan Koopman & Andre Lucas, 2014. "Time Varying Transition Probabilities for Markov Regime Switching Models," Tinbergen Institute Discussion Papers 14-072/III, Tinbergen Institute.
- Pelster, Matthias & Vilsmeier, Johannes, 2016. "The determinants of CDS spreads: Evidence from the model space," Discussion Papers 43/2016, Deutsche Bundesbank.
- Warshaw, Evan, 2019. "Extreme dependence and risk spillovers across north american equity markets," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 237-251.
- Rutger-Jan Lange & Andre Lucas & Arjen H. Siegmann, 2016. "Score-Driven Systemic Risk Signaling for European Sovereign Bond Yields and CDS Spreads," Tinbergen Institute Discussion Papers 16-064/IV, Tinbergen Institute.
- Giovanni Angelini & Giuseppe Cavaliere & Enzo D'Innocenzo & Luca De Angelis, 2022. "Time-Varying Poisson Autoregression," Papers 2207.11003, arXiv.org.
- Lin Zhao & Sweder van Wijnbergen, 2017.
"Decision-making in incomplete markets with ambiguity—a case study of a gas field acquisition,"
Quantitative Finance, Taylor & Francis Journals, vol. 17(11), pages 1759-1782, November.
- Lin Zhao & Sweder van Wijnbergen, 2014. "Decision Making in Incomplete Markets with Ambiguity -- A Case Study of a Gas Field Acquisition," Tinbergen Institute Discussion Papers 14-149/VI, Tinbergen Institute.
- Zhao, Zifeng & Zhang, Zhengjun & Chen, Rong, 2018. "Modeling maxima with autoregressive conditional Fréchet model," Journal of Econometrics, Elsevier, vol. 207(2), pages 325-351.
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- Ivanovski, Kris & Hailemariam, Abebe, 2021. "Forecasting the dynamic relationship between crude oil and stock prices since the 19th century," Journal of Commodity Markets, Elsevier, vol. 24(C).
- Giovanni Angelini & Paolo Gorgi, 2018. "DSGE Models with Observation-Driven Time-Varying parameters," Tinbergen Institute Discussion Papers 18-030/III, Tinbergen Institute.
- Timo Dimitriadis & Tobias Fissler & Johanna Ziegel, 2020. "The Efficiency Gap," Papers 2010.14146, arXiv.org, revised Sep 2022.
- Giuseppe Buccheri & Stefano Grassi & Giorgio Vocalelli, 2021. "Estimating Risk in Illiquid Markets: a Model of Market Friction with Stochastic Volatility," CEIS Research Paper 506, Tor Vergata University, CEIS, revised 08 Nov 2021.
- Zongwu Cai & Ying Fang & Dingshi Tian, 2024. "CAViaR Model Selection Via Adaptive Lasso," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202403, University of Kansas, Department of Economics, revised Jan 2024.
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- Dennis Umlandt, 2020. "Likelihood-based Dynamic Asset Pricing: Learning Time-varying Risk Premia from Cross-Sectional Models," Working Paper Series 2020-06, University of Trier, Research Group Quantitative Finance and Risk Analysis.
- Siem Jan Koopman & Rutger Lit & André Lucas & Anne Opschoor, 2018. "Dynamic discrete copula models for high‐frequency stock price changes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(7), pages 966-985, November.
- Opschoor, Anne & Lucas, André, 2023. "Time-varying variance and skewness in realized volatility measures," International Journal of Forecasting, Elsevier, vol. 39(2), pages 827-840.
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- Tiwari, Aviral Kumar & Adewuyi, Adeolu O. & Albulescu, Claudiu T. & Wohar, Mark E., 2020. "Empirical evidence of extreme dependence and contagion risk between main cryptocurrencies," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
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- Blasques, Francisco & van Brummelen, Janneke & Gorgi, Paolo & Koopman, Siem Jan, 2024. "Maximum Likelihood Estimation for Non-Stationary Location Models with Mixture of Normal Distributions," Journal of Econometrics, Elsevier, vol. 238(1).
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- Drew Creal & Bernd Schwaab & Siem Jan Koopman & Andr� Lucas, 2014.
"Observation-Driven Mixed-Measurement Dynamic Factor Models with an Application to Credit Risk,"
The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 898-915, December.
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"A Survey of Sequential Monte Carlo Methods for Economics and Finance,"
Econometric Reviews, Taylor & Francis Journals, vol. 31(3), pages 245-296.
See citations under working paper version above.
- Creal, D., 2009. "A survey of sequential Monte Carlo methods for economics and finance," Serie Research Memoranda 0018, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
- Creal, Drew & Koopman, Siem Jan & Lucas, André, 2011.
"A Dynamic Multivariate Heavy-Tailed Model for Time-Varying Volatilities and Correlations,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 29(4), pages 552-563.
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See citations under working paper version above.- Drew Creal & Siem Jan Koopman & André Lucas, 2010. "A Dynamic Multivariate Heavy-Tailed Model for Time-Varying Volatilities and Correlations," Tinbergen Institute Discussion Papers 10-032/2, Tinbergen Institute.
- Drew Creal & Siem Jan Koopman & Eric Zivot, 2010.
"Extracting a robust US business cycle using a time-varying multivariate model-based bandpass filter,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 695-719.
See citations under working paper version above.
- Drew Creal & Siem Jan Koopman & Eric Zivot, 2008. "Extracting a Robust U.S. Business Cycle Using a Time-Varying Multivariate Model-Based Bandpass Filter," Working Papers UWEC-2008-15-FC, University of Washington, Department of Economics.
- Koopman, Siem Jan & Shephard, Neil & Creal, Drew, 2009.
"Testing the assumptions behind importance sampling,"
Journal of Econometrics, Elsevier, vol. 149(1), pages 2-11, April.
Cited by:
- Mao, Xiuping & Czellar, Veronika & Ruiz, Esther & Veiga, Helena, 2020. "Asymmetric stochastic volatility models: Properties and particle filter-based simulated maximum likelihood estimation," Econometrics and Statistics, Elsevier, vol. 13(C), pages 84-105.
- Siem Jan Koopman & Rutger Lit & André Lucas, 2014. "The Dynamic Skellam Model with Applications," Tinbergen Institute Discussion Papers 14-032/IV/DSF73, Tinbergen Institute, revised 06 Jul 2015.
- Siem Jan Koopman & Rutger Lit, 2012.
"A Dynamic Bivariate Poisson Model for Analysing and Forecasting Match Results in the English Premier League,"
Tinbergen Institute Discussion Papers
12-099/III, Tinbergen Institute.
- Siem Jan Koopman & Rutger Lit, 2015. "A dynamic bivariate Poisson model for analysing and forecasting match results in the English Premier League," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(1), pages 167-186, January.
- Geert Mesters & Siem Jan Koopman, 2012.
"Generalized Dynamic Panel Data Models with Random Effects for Cross-Section and Time,"
Tinbergen Institute Discussion Papers
12-009/4, Tinbergen Institute, revised 18 Mar 2014.
- Mesters, G. & Koopman, S.J., 2014. "Generalized dynamic panel data models with random effects for cross-section and time," Journal of Econometrics, Elsevier, vol. 180(2), pages 127-140.
- Mengheng Li & Siem Jan (S.J.) Koopman, 2018. "Unobserved Components with Stochastic Volatility in U.S. Inflation: Estimation and Signal Extraction," Tinbergen Institute Discussion Papers 18-027/III, Tinbergen Institute.
- Tore Selland Kleppe & Jun Yu & Hans J. Skaug, 2011.
"Simulated Maximum Likelihood Estimation for Latent Diffusion Models,"
Working Papers
CoFie-04-2011, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
- Tore Selland Kleppe & Jun Yu & Hans J. Skaug, 2012. "Simulated Maximum Likelihood Estimation for Latent Diffusion Models," Working Papers 12-2012, Singapore Management University, School of Economics.
- Tore Selland Kleppe & Jun Yu & Hans J. skaug, 2011. "Simulated Maximum Likelihood Estimation for Latent Diffusion Models," Working Papers 10-2011, Singapore Management University, School of Economics.
- Dominik Bertsche & Robin Braun, 2018.
"Identification of Structural Vector Autoregressions by Stochastic Volatility,"
Working Paper Series of the Department of Economics, University of Konstanz
2018-03, Department of Economics, University of Konstanz.
- Dominik Bertsche & Robin Braun, 2017. "Identification of Structural Vector Autoregressions by Stochastic Volatility," Working Paper Series of the Department of Economics, University of Konstanz 2017-11, Department of Economics, University of Konstanz.
- Dominik Bertsche & Robin Braun, 2022. "Identification of Structural Vector Autoregressions by Stochastic Volatility," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 328-341, January.
- Bertsche, Dominik & Braun, Robin, 2018. "Identification of Structural Vector Autoregressions by Stochastic Volatility," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181631, Verein für Socialpolitik / German Economic Association.
- Bertsche, Dominik & Braun, Robin, 2020. "Identification of structural vector autoregressions by stochastic volatility," Bank of England working papers 869, Bank of England.
- Chao Huang & Jin-Guan Lin & Yan-Yan Ren, 2013. "Testing for the shape parameter of generalized extreme value distribution based on the $$L_q$$ -likelihood ratio statistic," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 76(5), pages 641-671, July.
- Edward P. Herbst & Frank Schorfheide, 2013.
"Sequential Monte Carlo Sampling for DSGE Models,"
NBER Working Papers
19152, National Bureau of Economic Research, Inc.
- Edward P. Herbst & Frank Schorfheide, 2013. "Sequential Monte Carlo sampling for DSGE models," Finance and Economics Discussion Series 2013-43, Board of Governors of the Federal Reserve System (U.S.).
- Edward Herbst & Frank Schorfheide, 2014. "Sequential Monte Carlo Sampling For Dsge Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(7), pages 1073-1098, November.
- Edward P. Herbst & Frank Schorfheide, 2012. "Sequential Monte Carlo sampling for DSGE models," Working Papers 12-27, Federal Reserve Bank of Philadelphia.
- Jonas E. Arias & Juan F. Rubio-Ramírez & Daniel F. Waggoner, 2018.
"Inference in Bayesian Proxy-SVARs,"
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2018-13, FEDEA.
- Arias, Jonas E. & Rubio-Ramírez, Juan F. & Waggoner, Daniel F., 2021. "Inference in Bayesian Proxy-SVARs," Journal of Econometrics, Elsevier, vol. 225(1), pages 88-106.
- Jonas E. Arias & Juan F. Rubio-Ramirez & Daniel F. Waggoner, 2018. "Inference in Bayesian Proxy-SVARs," FRB Atlanta Working Paper 2018-16, Federal Reserve Bank of Atlanta.
- Jonas E. Arias & Juan F. Rubio-Ramirez & Daniel F. Waggoner, 2018. "Inference in Bayesian Proxy-SVARs," Working Papers 18-25/R, Federal Reserve Bank of Philadelphia.
- G. Mesters & S. J. Koopman & M. Ooms, 2016.
"Monte Carlo Maximum Likelihood Estimation for Generalized Long-Memory Time Series Models,"
Econometric Reviews, Taylor & Francis Journals, vol. 35(4), pages 659-687, April.
- Geert Mesters & Siem Jan Koopman & Marius Ooms, 2011. "Monte Carlo Maximum Likelihood Estimation for Generalized Long-Memory Time Series Models," Tinbergen Institute Discussion Papers 11-090/4, Tinbergen Institute.
- Siem Jan Koopman & Geert Mesters, 2014.
"Empirical Bayes Methods for Dynamic Factor Models,"
Tinbergen Institute Discussion Papers
14-061/III, Tinbergen Institute.
- S. J. Koopman & G. Mesters, 2017. "Empirical Bayes Methods for Dynamic Factor Models," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 486-498, July.
- Bräuning, Falk & Koopman, Siem Jan, 2020. "The dynamic factor network model with an application to international trade," Journal of Econometrics, Elsevier, vol. 216(2), pages 494-515.
- Falk Bräuning & Siem Jan Koopman, 2016.
"The Dynamic Factor Network Model with an Application to Global Credit-Risk,"
Tinbergen Institute Discussion Papers
16-105/III, Tinbergen Institute.
- Falk Bräuning & Siem Jan Koopman, 2016. "The dynamic factor network model with an application to global credit risk," Working Papers 16-13, Federal Reserve Bank of Boston.
- Siem Jan Koopman & Rutger Lit & Andre Lucas, 2015.
"Intraday Stochastic Volatility in Discrete Price Changes: the Dynamic Skellam Model,"
Tinbergen Institute Discussion Papers
15-076/IV/DSF94, Tinbergen Institute.
- Siem Jan Koopman & Rutger Lit & André Lucas, 2017. "Intraday Stochastic Volatility in Discrete Price Changes: The Dynamic Skellam Model," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(520), pages 1490-1503, October.
- Wu, Xin-Yu & Ma, Chao-Qun & Wang, Shou-Yang, 2012. "Warrant pricing under GARCH diffusion model," Economic Modelling, Elsevier, vol. 29(6), pages 2237-2244.
- Charles S. Bos, 2011. "Relating Stochastic Volatility Estimation Methods," Tinbergen Institute Discussion Papers 11-049/4, Tinbergen Institute.
- Scharth, Marcel & Kohn, Robert, 2016. "Particle efficient importance sampling," Journal of Econometrics, Elsevier, vol. 190(1), pages 133-147.
- Youngjun Choe & Henry Lam & Eunshin Byon, 2018. "Uncertainty Quantification of Stochastic Simulation for Black-box Computer Experiments," Methodology and Computing in Applied Probability, Springer, vol. 20(4), pages 1155-1172, December.
- Mengheng Li & Siem Jan Koopman, 2021. "Unobserved components with stochastic volatility: Simulation‐based estimation and signal extraction," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 614-627, August.
- Kleppe, Tore Selland & Yu, Jun & Skaug, Hans J., 2014. "Maximum likelihood estimation of partially observed diffusion models," Journal of Econometrics, Elsevier, vol. 180(1), pages 73-80.
- Matti Vihola & Jouni Helske & Jordan Franks, 2020. "Importance sampling type estimators based on approximate marginal Markov chain Monte Carlo," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 47(4), pages 1339-1376, December.
- Siem Jan Koopman & André Lucas & Marcel Scharth, 2015.
"Numerically Accelerated Importance Sampling for Nonlinear Non-Gaussian State-Space Models,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(1), pages 114-127, January.
- Siem Jan Koopman & Andre Lucas & Marcel Scharth, 2011. "Numerically Accelerated Importance Sampling for Nonlinear Non-Gaussian State Space Models," Tinbergen Institute Discussion Papers 11-057/4, Tinbergen Institute, revised 27 Jan 2012.
- Christian Brinch, 2012. "Efficient simulated maximum likelihood estimation through explicitly parameter dependent importance sampling," Computational Statistics, Springer, vol. 27(1), pages 13-28, March.
- Pastorello, S. & Rossi, E., 2010. "Efficient importance sampling maximum likelihood estimation of stochastic differential equations," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2753-2762, November.
- Creal, Drew D., 2008.
"Analysis of filtering and smoothing algorithms for Lévy-driven stochastic volatility models,"
Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 2863-2876, February.
Cited by:
- Worapree Maneesoonthorn & Catherine S. Forbes & Gael M. Martin, 2013.
"Inference on Self-Exciting Jumps in Prices and Volatility using High Frequency Measures,"
Monash Econometrics and Business Statistics Working Papers
28/13, Monash University, Department of Econometrics and Business Statistics.
- Worapree Maneesoonthorn & Catherine S. Forbes & Gael M. Martin, 2014. "Inference on Self-Exciting Jumps in Prices and Volatility using High Frequency Measures," Papers 1401.3911, arXiv.org, revised Mar 2016.
- Worapree Maneesoonthorn & Catherine S. Forbes & Gael M. Martin, 2016. "Inference on Self-Exciting Jumps in Prices and Volatility using High Frequency Measures," Monash Econometrics and Business Statistics Working Papers 8/16, Monash University, Department of Econometrics and Business Statistics.
- Worapree Maneesoonthorn & Catherine S. Forbes & Gael M. Martin, 2017. "Inference on Self‐Exciting Jumps in Prices and Volatility Using High‐Frequency Measures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 504-532, April.
- Worapree Maneesoonthorn & Catherine S. Forbes & Gael M. Martin, 2014. "Inference on Self-Exciting Jumps in Prices and Volatility using High Frequency Measures," Monash Econometrics and Business Statistics Working Papers 30/14, Monash University, Department of Econometrics and Business Statistics.
- Christophe Andrieu & Arnaud Doucet & Roman Holenstein, 2010. "Particle Markov chain Monte Carlo methods," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(3), pages 269-342, June.
- Worapree Maneesoonthorn & Gael M Martin & Catherine S Forbes, 2018. "Dynamic price jumps: The performance of high frequency tests and measures, and the robustness of inference," Monash Econometrics and Business Statistics Working Papers 17/18, Monash University, Department of Econometrics and Business Statistics.
- Maneesoonthorn, Worapree & Martin, Gael M. & Forbes, Catherine S. & Grose, Simone D., 2012.
"Probabilistic forecasts of volatility and its risk premia,"
Journal of Econometrics, Elsevier, vol. 171(2), pages 217-236.
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