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Testing for volatility interactions in the Constant Conditional Correlation GARCH model
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- Haas, Markus, 2010. "Covariance forecasts and long-run correlations in a Markov-switching model for dynamic correlations," Finance Research Letters, Elsevier, vol. 7(2), pages 86-97, June.
- Silvennoinen, Annastiina & Teräsvirta, Timo, 2024.
"Consistency and asymptotic normality of maximum likelihood estimators of a multiplicative time-varying smooth transition correlation GARCH model,"
Econometrics and Statistics, Elsevier, vol. 32(C), pages 57-72.
- Annastiina Silvennoinen & Timo Teräsvirta, 2017. "Consistency and asymptotic normality of maximum likelihood estimators of a multiplicative time-varying smooth transition correlation GARCH model," CREATES Research Papers 2017-28, Department of Economics and Business Economics, Aarhus University.
- Haas Markus & Liu Ji-Chun, 2018. "A multivariate regime-switching GARCH model with an application to global stock market and real estate equity returns," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(3), pages 1-27, June.
- Ngene, Geoffrey & Post, Jordin A. & Mungai, Ann N., 2018. "Volatility and shock interactions and risk management implications: Evidence from the U.S. and frontier markets," Emerging Markets Review, Elsevier, vol. 37(C), pages 181-198.
- Syriopoulos, Theodore & Makram, Beljid & Boubaker, Adel, 2015. "Stock market volatility spillovers and portfolio hedging: BRICS and the financial crisis," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 7-18.
- Tomasz Woźniak, 2018.
"Granger-causal analysis of GARCH models: A Bayesian approach,"
Econometric Reviews, Taylor & Francis Journals, vol. 37(4), pages 325-346, April.
- Tomasz Wozniak, 2015. "Granger-causal analysis of GARCH models: a Bayesian approach," Department of Economics - Working Papers Series 1194, The University of Melbourne.
- Karanasos, Menelaos & Xu, Yongdeng & Yfanti, Stavroula, 2017. "Constrained QML Estimation for Multivariate Asymmetric MEM with Spillovers: The Practicality of Matrix Inequalities," Cardiff Economics Working Papers E2017/14, Cardiff University, Cardiff Business School, Economics Section.
- Djamel Kirat & Ibrahim Ahamada, 2009. "The impact of the European Union Emission Trading Scheme on electricity generation sectors," Post-Print halshs-00384496, HAL.
- Nakatani, Tomoaki & Teräsvirta, Timo, 2008.
"Positivity constraints on the conditional variances in the family of conditional correlation GARCH models,"
Finance Research Letters, Elsevier, vol. 5(2), pages 88-95, June.
- Nakatani, Tomoaki & Teräsvirta, Timo, 2007. "Positivity Constraints on the Conditional Variances in the Family of Conditional Correlation GARCH Models," SSE/EFI Working Paper Series in Economics and Finance 675, Stockholm School of Economics, revised 14 Feb 2008.
- Paul Catani & Timo Teräsvirta & Meiqun Yin, 2017.
"A Lagrange multiplier test for testing the adequacy of constant conditional correlation GARCH model,"
Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 599-621, October.
- Paul Catani & Timo Teräsvirta & Meiqun Yin, 2014. "A Lagrange Multiplier Test for Testing the Adequacy of the Constant Conditional Correlation GARCH Model," CREATES Research Papers 2014-03, Department of Economics and Business Economics, Aarhus University.
- E. Otranto, 2024. "A Vector Multiplicative Error Model with Spillover Effects and Co-movements," Working Paper CRENoS 202404, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
- Kirat, Djamel & Ahamada, Ibrahim, 2011.
"The impact of the European Union emission trading scheme on the electricity-generation sector,"
Energy Economics, Elsevier, vol. 33(5), pages 995-1003, September.
- Djamel Kirat & Ibrahim Ahamada, 2009. "The impact of the European Union emission trading scheme on electricity generation sectors," Documents de travail du Centre d'Economie de la Sorbonne 09025, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
- Djamel Kirat & Ibrahim Ahamada, 2009. "The impact of the European Union Emission Trading Scheme on electricity generation sectors," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00378317, HAL.
- Djamel Kirat & Ibrahim Ahamada, 2009. "The impact of the European Union Emission Trading Scheme on electricity generation sectors," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00384496, HAL.
- Woźniak, Tomasz, 2015.
"Testing causality between two vectors in multivariate GARCH models,"
International Journal of Forecasting, Elsevier, vol. 31(3), pages 876-894.
- Tomasz Wozniak, 2012. "Testing Causality Between Two Vectors in Multivariate GARCH Models," Economics Working Papers ECO2012/20, European University Institute.
- Tomasz Wozniak, 2012. "Testing Causality Between Two Vectors in Multivariate GARCH Models," Department of Economics - Working Papers Series 1139, The University of Melbourne.
- Djamel Kirat & Ibrahim Ahamada, 2009. "The impact of the European Union Emission Trading Scheme on electricity generation sectors," Working Papers hal-00378317, HAL.
- Agata Kliber, 2014. "The Dynamics of Sovereign Credit Default Swaps and the Evolution of the Financial Crisis in Selected Central European Economies," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(4), pages 330-350, September.
- Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2024. "Bitcoin halving and the integration of cryptocurrency and forex markets: An analysis of the higher-order moment spillovers," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 302-315.
- Siemaszkiewicz Karolina, 2021. "Safe Haven Instruments – A Comparison Between the Global Financial Crisis and the Covid-19 Pandemic," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 25(4), pages 1-16, December.
- Pedersen, Rasmus Søndergaard, 2017.
"Inference and testing on the boundary in extended constant conditional correlation GARCH models,"
Journal of Econometrics, Elsevier, vol. 196(1), pages 23-36.
- Rasmus Søndergaard Pedersen, 2015. "Inference and testing on the boundary in extended constant conditional correlation GARCH models," Discussion Papers 15-10, University of Copenhagen. Department of Economics.
- Wei, Zhaohao & Chai, Jian & Dong, Jichang & Lu, Quanying, 2022. "Understanding the linkage-dependence structure between oil and gas markets: A new perspective," Energy, Elsevier, vol. 257(C).
- Conrad, Christian & Karanasos, Menelaos, 2010.
"Negative Volatility Spillovers In The Unrestricted Eccc-Garch Model,"
Econometric Theory, Cambridge University Press, vol. 26(3), pages 838-862, June.
- Christian Conrad & Menelaos Karanasos, 2008. "Negative Volatility Spillovers in the Unrestricted ECCC-GARCH Model," KOF Working papers 08-189, KOF Swiss Economic Institute, ETH Zurich.
- Dahiru A. Balaa & Taro Takimotob, 2017. "Stock markets volatility spillovers during financial crises: A DCC-MGARCH with skewed-t density approach," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 17(1), pages 25-48, March.
- Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2017. "The kidnapping of Europe: High-order moments' transmission between developed and emerging markets," Emerging Markets Review, Elsevier, vol. 31(C), pages 96-115.
- Yuanyuan Hao & Hong Chong Cho, 2022. "Research on the relationship between urban public infrastructure, CO2 emission and economic growth in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 7361-7376, May.
- Ngene, Geoffrey M. & Lee Kim, Yea & Wang, Jinghua, 2019. "Who poisons the pool? Time-varying asymmetric and nonlinear causal inference between low-risk and high-risk bonds markets," Economic Modelling, Elsevier, vol. 81(C), pages 136-147.
- Nadine McCloud & Yongmiao Hong, 2011. "Testing The Structure Of Conditional Correlations In Multivariate Garch Models: A Generalized Cross‐Spectrum Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 52(4), pages 991-1037, November.
- Xu, Yongdeng, 2024. "Extended multivariate EGARCH model: A model for zero†return and negative spillovers," Cardiff Economics Working Papers E2024/24, Cardiff University, Cardiff Business School, Economics Section.
- Yannick Hoga, 2023. "The Estimation Risk in Extreme Systemic Risk Forecasts," Papers 2304.10349, arXiv.org.
- N. Taylor & Y. Xu, 2017.
"The logarithmic vector multiplicative error model: an application to high frequency NYSE stock data,"
Quantitative Finance, Taylor & Francis Journals, vol. 17(7), pages 1021-1035, July.
- Taylor, Nick & Xu, Yongdeng, 2013. "The logarithmic vector multiplicative error model: an application to high frequency NYSE stock data," Cardiff Economics Working Papers E2013/7, Cardiff University, Cardiff Business School, Economics Section.
- Stavroula Yfanti & Georgios Chortareas & Menelaos Karanasos & Emmanouil Noikokyris, 2022. "A three‐dimensional asymmetric power HEAVY model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 2737-2761, July.
- Stahl, Gerhard & Wang, Shaohui & Wendt, Markus, 2011. "Validate Correlation of an ESG: Treasury Yields across," Hannover Economic Papers (HEP) dp-476, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
- de Almeida, Daniel & Hotta, Luiz K. & Ruiz, Esther, 2018.
"MGARCH models: Trade-off between feasibility and flexibility,"
International Journal of Forecasting, Elsevier, vol. 34(1), pages 45-63.
- Almeida, Daniel de & Hotta, Luiz, 2015. "MGARCH models: tradeoff between feasibility and flexibility," DES - Working Papers. Statistics and Econometrics. WS ws1516, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Fengler, Matthias R. & Herwartz, Helmut, 2015.
"Measuring spot variance spillovers when (co)variances are time-varying – the case of multivariate GARCH models,"
Economics Working Paper Series
1517, University of St. Gallen, School of Economics and Political Science.
- Fengler, Matthias R. & Herwartz, Helmut, 2015. "Measuring spot variance spillovers when (co)variances are time-varying - the case of multivariate GARCH models," MPRA Paper 72197, University Library of Munich, Germany, revised 10 Jun 2016.
- Rubén Loaiza‐Maya & Michael S. Smith & Worapree Maneesoonthorn, 2018.
"Time series copulas for heteroskedastic data,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(3), pages 332-354, April.
- Rub'en Loaiza-Maya & Michael S. Smith & Worapree Maneesoonthorn, 2017. "Time Series Copulas for Heteroskedastic Data," Papers 1701.07152, arXiv.org.
- Tomasz Wozniak, 2012. "Granger-causal analysis of VARMA-GARCH models," Economics Working Papers ECO2012/19, European University Institute.
- Fernandez-Diaz, Jose M. & Morley, Bruce, 2019.
"Interdependence among agricultural commodity markets, macroeconomic factors, crude oil and commodity index,"
Research in International Business and Finance, Elsevier, vol. 47(C), pages 174-194.
- Jose Fernandez & Bruce Morley, 2015. "Interdependence among Agricultural Commodity Markets, Macroeconomic Factors, Crude Oil and Commodity Index," Department of Economics Working Papers 42/15, University of Bath, Department of Economics.
- repec:dau:papers:123456789/6804 is not listed on IDEAS
- Francq, Christian & Zakoian, Jean-Michel, 2010. "QML estimation of a class of multivariate GARCH models without moment conditions on the observed process," MPRA Paper 20779, University Library of Munich, Germany.
- Guglielmo Maria Caporale & Menelaos Karanasos & Stavroula Yfanti, 2024. "Macro‐financial linkages in the high‐frequency domain: Economic fundamentals and the Covid‐induced uncertainty channel in US and UK financial markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1581-1608, April.
- Xu, Yongdeng, 2022. "The Exponential HEAVY Model: An Improved Approach to Volatility Modeling and Forecasting," Cardiff Economics Working Papers E2022/5, Cardiff University, Cardiff Business School, Economics Section.
- Anindya Chakrabarty & Anupam De & Gautam Bandyopadhyay, 2015. "A Wavelet-based MRA-EDCC-GARCH Methodology for the Detection of News and Volatility Spillover across Sectoral Indices—Evidence from the Indian Financial Market," Global Business Review, International Management Institute, vol. 16(1), pages 35-49, February.
- Paolella, Marc S. & Polak, Paweł, 2015. "ALRIGHT: Asymmetric LaRge-scale (I)GARCH with Hetero-Tails," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 282-297.
- López Cabrera, Brenda & Schulz, Franziska, 2016.
"Volatility linkages between energy and agricultural commodity prices,"
Energy Economics, Elsevier, vol. 54(C), pages 190-203.
- López Cabrera, Brenda & Schulz, Franziska, 2013. "Volatility linkages between energy and agricultural commodity prices," SFB 649 Discussion Papers 2013-042, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Ryuta Sakemoto, 2018. "The intertemporal relation between expected returns and conditional correlations between precious metals and the stock market," Economics and Business Letters, Oviedo University Press, vol. 7(1), pages 24-35.
- Aaron D. Smallwood, 2022. "Inference in Misspecified GARCH‐M Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(2), pages 334-355, April.
- Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2023. "Multivariate dynamics between emerging markets and digital asset markets: An application of the SNP-DCC model," Emerging Markets Review, Elsevier, vol. 56(C).
- Arif Orçun Söylemez, 2013. "Stock Exchange Volatility Transmissions between Turkey and the Major Financial Centers," International Journal of Empirical Finance, Research Academy of Social Sciences, vol. 1(2), pages 27-32.
- M. Karanasos & S. Yfanti & J. Hunter, 2022. "Emerging stock market volatility and economic fundamentals: the importance of US uncertainty spillovers, financial and health crises," Annals of Operations Research, Springer, vol. 313(2), pages 1077-1116, June.
- Niklas Ahlgren & Paul Catani, 2017. "Wild bootstrap tests for autocorrelation in vector autoregressive models," Statistical Papers, Springer, vol. 58(4), pages 1189-1216, December.
- Haas, Markus & Liu, Ji-Chun, 2015. "Theory for a Multivariate Markov--switching GARCH Model with an Application to Stock Markets," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112855, Verein für Socialpolitik / German Economic Association.
- Yfanti, Stavroula & Karanasos, Menelaos & Zopounidis, Constantin & Christopoulos, Apostolos, 2023. "Corporate credit risk counter-cyclical interdependence: A systematic analysis of cross-border and cross-sector correlation dynamics," European Journal of Operational Research, Elsevier, vol. 304(2), pages 813-831.
- M. Karanasos & S. Yfanti & A. Christopoulos, 2021. "The long memory HEAVY process: modeling and forecasting financial volatility," Annals of Operations Research, Springer, vol. 306(1), pages 111-130, November.
- Guglielmo Maria Caporale & Menelaos Karanasos & Stavroula Yfanti, 2019. "Macro-Financial Linkages in the High-Frequency Domain: The Effects of Uncertainty on Realized Volatility," CESifo Working Paper Series 8000, CESifo.
- Fernandez-Diaz, Jose M. & Morley, Bruce, 2019.
"Interdependence among agricultural commodity markets, macroeconomic factors, crude oil and commodity index,"
Research in International Business and Finance, Elsevier, vol. 47(C), pages 174-194.
- José Fernández, 2015. "Interdependence among Agricultural Commodity Markets, Macroeconomic Factors, Crude Oil and Commodity Index," Bristol Economics Discussion Papers 15/666, School of Economics, University of Bristol, UK.