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Econometric Analysis Of Volatility Component Models
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Cited by:
- Segnon, Mawuli & Gupta, Rangan & Wilfling, Bernd, 2024.
"Forecasting stock market volatility with regime-switching GARCH-MIDAS: The role of geopolitical risks,"
International Journal of Forecasting, Elsevier, vol. 40(1), pages 29-43.
- Mawuli Segnon & Rangan Gupta & Bernd Wilfling, 2022. "Forecasting Stock Market Volatility with Regime-Switching GARCH-MIDAS: The Role of Geopolitical Risks," Working Papers 202203, University of Pretoria, Department of Economics.
- Matteo Barigozzi & Christian Brownlees, 2019.
"NETS: Network estimation for time series,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(3), pages 347-364, April.
- Matteo Barigozzi & Christian T. Brownlees, 2013. "Nets: Network estimation for time series," Economics Working Papers 1391, Department of Economics and Business, Universitat Pompeu Fabra.
- Barigozzi, Matteo & Brownlees, Christian T., 2018. "Nets: network estimation for time series," LSE Research Online Documents on Economics 90493, London School of Economics and Political Science, LSE Library.
- Matteo Barigozzi & Christian Brownlees, 2015. "Nets: Network Estimation for Time Series," Working Papers 723, Barcelona School of Economics.
- Cristina Amado & Annastiina Silvennoinen & Timo Ter¨asvirta, 2018.
"Models with Multiplicative Decomposition of Conditional Variances and Correlations,"
NIPE Working Papers
07/2018, NIPE - Universidade do Minho.
- Cristina Amado & Annastiina Silvennoinen & Timo Teräsvirta, 2018. "Models with Multiplicative Decomposition of Conditional Variances and Correlations," CREATES Research Papers 2018-14, Department of Economics and Business Economics, Aarhus University.
- Wu, Xinyu & He, Qizhi & Xie, Haibin, 2023. "Forecasting VIX with time-varying risk aversion," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 458-475.
- Naimoli, Antonio & Storti, Giuseppe, 2019.
"Heterogeneous component multiplicative error models for forecasting trading volumes,"
International Journal of Forecasting, Elsevier, vol. 35(4), pages 1332-1355.
- Naimoli, Antonio & Storti, Giuseppe, 2019. "Heterogeneous component multiplicative error models for forecasting trading volumes," MPRA Paper 93802, University Library of Munich, Germany.
- Yang Liu & Liyan Han & Libo Yin, 2018. "Does news uncertainty matter for commodity futures markets? Heterogeneity in energy and non‐energy sectors," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(10), pages 1246-1261, October.
- Peter Malec, 2016. "A Semiparametric Intraday GARCH Model," Cambridge Working Papers in Economics 1633, Faculty of Economics, University of Cambridge.
- Christian Conrad & Robert F. Engle, 2025.
"Modelling Volatility Cycles: The MF2‐GARCH Model,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(4), pages 438-454, June.
- Christian Conrad & Robert F. Engle, 2021. "Modelling Volatility Cycles: The (MF)2 GARCH Model," Working Paper series 21-05, Rimini Centre for Economic Analysis.
- Duc Khuong Nguyen & Thomas Walther, 2020.
"Modeling and forecasting commodity market volatility with long‐term economic and financial variables,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 126-142, March.
- Nguyen, Duc Khuong & Walther, Thomas, 2017. "Modeling and forecasting commodity market volatility with long-term economic and financial variables," MPRA Paper 84464, University Library of Munich, Germany, revised Jan 2018.
- Thomas Walther & Duc Khuong Nguyen, 2018. "Modeling and Forecasting Commodity Market Volatility with Long-term Economic and Financial Variables," Working Papers on Finance 1824, University of St. Gallen, School of Finance.
- Wu, Xinyu & Zhao, An & Cheng, Tengfei, 2023. "A Real-Time GARCH-MIDAS model," Finance Research Letters, Elsevier, vol. 56(C).
- Amendola, Alessandra & Candila, Vincenzo & Gallo, Giampiero M., 2019. "On the asymmetric impact of macro–variables on volatility," Economic Modelling, Elsevier, vol. 76(C), pages 135-152.
- Luca Scaffidi Domianello & Giampiero M. Gallo & Edoardo Otranto, 2024.
"Smooth and Abrupt Dynamics in Financial Volatility: The MS‐MEM‐MIDAS,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(1), pages 21-43, February.
- L. Scaffidi Domianello & G.M. Gallo & E. Otranto, 2022. "Smooth and Abrupt Dynamics in Financial Volatility: the MS-MEM-MIDAS," Working Paper CRENoS 202205, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
- Wu, Xinyu & Xie, Haibin, 2021. "A realized EGARCH-MIDAS model with higher moments," Finance Research Letters, Elsevier, vol. 38(C).
- Christian Conrad & Onno Kleen, 2020. "Two are better than one: Volatility forecasting using multiplicative component GARCH‐MIDAS models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(1), pages 19-45, January.
- Julien Chevallier & Bilel Sanhaji, 2023.
"Jump-Robust Realized-GARCH-MIDAS-X Estimators for Bitcoin and Ethereum Volatility Indices,"
Stats, MDPI, vol. 6(4), pages 1-32, December.
- Julien Chevallier & Bilel Sanhaji, 2023. "Jump-Robust Realized-GARCH-MIDAS-X Estimators for Bitcoin and Ethereum Volatility Indices," Post-Print halshs-04344131, HAL.
- Liu, Yang & Han, Liyan & Xu, Yang, 2021. "The impact of geopolitical uncertainty on energy volatility," International Review of Financial Analysis, Elsevier, vol. 75(C).
- Christian Conrad & Melanie Schienle, 2020.
"Testing for an Omitted Multiplicative Long-Term Component in GARCH Models,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 229-242, April.
- Conrad, Christian & Schienle, Melanie, 2019. "Testing for an omitted multiplicative long-term component in GARCH models," Working Paper Series in Economics 121, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
- Francisco Blasques & Enzo D'Innocenzo & Siem Jan Koopman, 2021. "Common and Idiosyncratic Conditional Volatility Factors: Theory and Empirical Evidence," Tinbergen Institute Discussion Papers 21-057/III, Tinbergen Institute.
- Amendola, Alessandra & Candila, Vincenzo & Gallo, Giampiero M., 2021. "Choosing the frequency of volatility components within the Double Asymmetric GARCH–MIDAS–X model," Econometrics and Statistics, Elsevier, vol. 20(C), pages 12-28.
- Chen, Zhonglu & Zhang, Li & Weng, Chen, 2023. "Does climate policy uncertainty affect Chinese stock market volatility?," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 369-381.
- Christian Francq & Baye Matar Kandji & Jean-Michel Zakoian, 2022. "Inference on Multiplicative Component GARCH without any Small-Order Moment," Working Papers 2022-09, Center for Research in Economics and Statistics.
- Walther, Thomas & Klein, Tony & Bouri, Elie, 2019.
"Exogenous drivers of Bitcoin and Cryptocurrency volatility – A mixed data sampling approach to forecasting,"
Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
- Walther, Thomas & Klein, Tony & Bouri, Elie, 2018. "Exogenous Drivers of Bitcoin and Cryptocurrency Volatility – A Mixed Data Sampling Approach to Forecasting," QBS Working Paper Series 2018/02, Queen's University Belfast, Queen's Business School.
- Mawuli Segnon & Bjorn Schulte-Tillmann & Riza Demirer & Rangan Gupta, 2025. "Deglobalization and Foreign Exchange Volatility: The Role of Supply Chain Pressures," Working Papers 202506, University of Pretoria, Department of Economics.
- Lukman A. Lasisi & Franklin N. Ngwu & Mohammed K. Taliat & Abeeb O. Olaniran & Kelechi C. Nnamdi, 2025. "Modelling commodity market volatility with climate policy uncertainty: a GARCH-MIDAS approach," SN Business & Economics, Springer, vol. 5(3), pages 1-21, March.
- Conrad, Christian & Schienle, Melanie, 2015. "Misspecification Testing in GARCH-MIDAS Models," Working Papers 0597, University of Heidelberg, Department of Economics.
- S. Yfanti & M. Karanasos & J. Wu & P. Vourvachis, 2025. "Short- and long-run cross-border European sustainability interdependences," Annals of Operations Research, Springer, vol. 347(1), pages 579-610, April.