Measuring Asymmetry and Persistence in Conditional Volatility in Real Output : Evidence from Three East Asian Tigers Using a Multivariate GARCH approach
Author
Suggested Citation
Download full text from publisher
Other versions of this item:
- Vu Thanh Hai & Albert K. Tsui & Zhaoyong Zhang, 2013. "Measuring asymmetry and persistence in conditional volatility in real output: evidence from three East Asian tigers using a multivariate GARCH approach," Applied Economics, Taylor & Francis Journals, vol. 45(20), pages 2909-2914, July.
References listed on IDEAS
- Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(1), pages 122-150, February.
- Bollerslev, Tim, 1986.
"Generalized autoregressive conditional heteroskedasticity,"
Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
- Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
- Ho, Kin-Yip & Tsui, Albert K. C., 2003. "Asymmetric volatility of real GDP: some evidence from Canada, Japan, the United Kingdom and the United States," Japan and the World Economy, Elsevier, vol. 15(4), pages 437-445, December.
- Allan D. Brunner, 1997.
"On The Dynamic Properties Of Asymmetric Models Of Real GNP,"
The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 321-352, May.
- Allan D. Brunner, 1994. "On the dynamic properties of asymmetric models of real GNP," International Finance Discussion Papers 489, Board of Governors of the Federal Reserve System (U.S.).
- Ho, Kin Yip & Tsui, Albert K.C., 2004. "Analysis of real GDP growth rates of greater China: An asymmetric conditional volatility approach," China Economic Review, Elsevier, vol. 15(4), pages 424-442.
- Engle, Robert F. & Granger, C. W. J. & Kraft, Dennis, 1984. "Combining competing forecasts of inflation using a bivariate arch model," Journal of Economic Dynamics and Control, Elsevier, vol. 8(2), pages 151-165, November.
- Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
- Tse, Y K & Tsui, Albert K C, 2002. "A Multivariate Generalized Autoregressive Conditional Heteroscedasticity Model with Time-Varying Correlations," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 351-362, July.
- Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Irene Brunetti & Davide fiaschi & Lisa Gianmoena, 2013. "An Index of Growth Rate Volatility: Methodology and an Application to European Regions," Discussion Papers 2013/169, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
- Yavas, Burhan F. & Dedi, Lidija, 2016. "An investigation of return and volatility linkages among equity markets: A study of selected European and emerging countries," Research in International Business and Finance, Elsevier, vol. 37(C), pages 583-596.
- Irene Brunetti & Davide Fiaschi & Lisa Gianmoena & Angela Parenti, 2017.
"Volatility in European regions,"
Papers in Regional Science, Wiley Blackwell, vol. 96(4), pages 697-720, November.
- Irene Brunetti & Davide Fiaschi & Lisa Gianmoena & Angela Parenti, 2015. "Volatility in European Regions," Discussion Papers 2015/201, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
- Prakash L. Dheeriya & Fahimeh Rezayat & Burhan F. Yavas, 2014. "Relations between Volatility and Returns of Exchange Traded Funds of Emerging Markets and of USA," Review of Economics & Finance, Better Advances Press, Canada, vol. 4, pages 44-46, Feburary.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Ho, Kin-Yip & Tsui, Albert K. & Zhang, Zhaoyong, 2009.
"Volatility dynamics of the US business cycle: A multivariate asymmetric GARCH approach,"
Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2856-2868.
- Kin-Yip Ho & Albert K. Tsui & Zhaoyong Zhang, 2009. "Volatility Dynamics of the UK Business Cycle: a Multivariate Asymmetric Garch Approach," Economie Internationale, CEPII research center, issue 117, pages 31-46.
- Suhejla Hoti & Felix Chan & Michael McAleer, 2003. "Structure and Asymptotic Theory for Multivariate Asymmetric Volatility: Empirical Evidence for Country Risk Ratings," CIRJE F-Series CIRJE-F-203, CIRJE, Faculty of Economics, University of Tokyo.
- Ruili Sun & Tiefeng Ma & Shuangzhe Liu & Milind Sathye, 2019. "Improved Covariance Matrix Estimation for Portfolio Risk Measurement: A Review," JRFM, MDPI, vol. 12(1), pages 1-34, March.
- W. Kwan & W. K. Li & K. W. Ng, 2010. "A Multivariate Threshold Varying Conditional Correlations Model," Econometric Reviews, Taylor & Francis Journals, vol. 29(1), pages 20-38.
- Massimiliano Caporin & Michael McAleer, 2011.
"Thresholds, news impact surfaces and dynamic asymmetric multivariate GARCH,"
Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 65(2), pages 125-163, May.
- Massimiliano Caporin & Michael McAleer, 2008. "Thresholds, News Impact Surfaces and Dynamic Asymmetric Multivariate GARCH," "Marco Fanno" Working Papers 0064, Dipartimento di Scienze Economiche "Marco Fanno".
- Caporin, M. & McAleer, M.J., 2010. "Threshold, news impact surfaces and dynamic asymmetric multivariate GARCH," Econometric Institute Research Papers EI 2010-36, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Michael McAleer & Massimiliano Caporin, 2010. "Thresholds, News Impact Surfaces and Dynamic Asymmetric Multivariate GARCH," Working Papers in Economics 10/32, University of Canterbury, Department of Economics and Finance.
- Massimiliano Caporin & Michael McAleer, 2010. "Thresholds, News Impact Surfaces and Dynamic Asymmetric Multivariate GARCH," CIRJE F-Series CIRJE-F-740, CIRJE, Faculty of Economics, University of Tokyo.
- Massimiliano Caporin & Michael McAleer, 2009. "Thresholds, News Impact Surfaces and Dynamic Asymmetric Multivariate GARCH," Documentos de Trabajo del ICAE 2009-11, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Massimiliano Caporin & Michael McAleer, 2010. "Thresholds, News Impact Surfaces and Dynamic Asymmetric Multivariate GARCH," CARF F-Series CARF-F-217, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Massimiliano Caporin & Michael McAleer, 2010. "Thresholds, News Impact Surfaces and Dynamic Asymmetric Multivariate GARCH," KIER Working Papers 741, Kyoto University, Institute of Economic Research.
- Massimiliano Caporin & Michael McAleer, 2010. "Thresholds, News Impact Surfaces and Dynamic Asymmetric Multivariate GARCH," Working Papers in Economics 10/73, University of Canterbury, Department of Economics and Finance.
- E. Ramos-P'erez & P. J. Alonso-Gonz'alez & J. J. N'u~nez-Vel'azquez, 2020. "Forecasting volatility with a stacked model based on a hybridized Artificial Neural Network," Papers 2006.16383, arXiv.org, revised Aug 2020.
- Hakim, Abdul & McAleer, Michael, 2009. "Forecasting conditional correlations in stock, bond and foreign exchange markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2830-2846.
- Pelletier, Denis, 2006.
"Regime switching for dynamic correlations,"
Journal of Econometrics, Elsevier, vol. 131(1-2), pages 445-473.
- Denis Pelletier, 2004. "Regime Switching for Dynamic Correlations," Econometric Society 2004 North American Summer Meetings 230, Econometric Society.
- Otranto, Edoardo, 2010.
"Identifying financial time series with similar dynamic conditional correlation,"
Computational Statistics & Data Analysis, Elsevier, vol. 54(1), pages 1-15, January.
- E. Otranto, 2008. "Identifying Financial Time Series with Similar Dynamic Conditional Correlation," Working Paper CRENoS 200817, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
- Bessler, Wolfgang & Leonhardt, Alexander & Wolff, Dominik, 2016. "Analyzing hedging strategies for fixed income portfolios: A Bayesian approach for model selection," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 239-256.
- Lanza, Alessandro & Manera, Matteo & McAleer, Michael, 2006.
"Modeling dynamic conditional correlations in WTI oil forward and futures returns,"
Finance Research Letters, Elsevier, vol. 3(2), pages 114-132, June.
- Matteo Manera & Alessandro Lanza & Michael McAleer, 2004. "Modelling Dynamic Conditional Correlations in WTI Oil Forward and Futures Returns," Working Papers 2004.72, Fondazione Eni Enrico Mattei.
- Marçal, Emerson Fernandes & Pereira, Pedro L. Valls, 2008.
"Testing the Hypothesis of Contagion Using Multivariate Volatility Models,"
Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 28(2), November.
- Marçal, Emerson F. & Valls Pereira, Pedro L., 2008. "Testing the Hypothesis of Contagion using Multivariate Volatility Models," MPRA Paper 15623, University Library of Munich, Germany.
- Pereira, Pedro L. Valls, 2009. "Testing the hypothesis of contagion using multivariate volatility models," Textos para discussão 174, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
- Pedro Nielsen Rotta & Pedro L. Valls Pereira, 2016. "Analysis of contagion from the dynamic conditional correlation model with Markov Regime switching," Applied Economics, Taylor & Francis Journals, vol. 48(25), pages 2367-2382, May.
- de Oliveira, Felipe A. & Maia, Sinézio F. & de Jesus, Diego P. & Besarria, Cássio da N., 2018. "Which information matters to market risk spreading in Brazil? Volatility transmission modelling using MGARCH-BEKK, DCC, t-Copulas," The North American Journal of Economics and Finance, Elsevier, vol. 45(C), pages 83-100.
- Marçal, Emerson F. & Valls Pereira, Pedro L., 2008. "Testando A Hipótese De Contágio A Partir De Modelos Multivariados De Volatilidade [Testing the contagion hypotheses using multivariate volatility models]," MPRA Paper 10356, University Library of Munich, Germany.
- Silvennoinen, Annastiina & Teräsvirta, Timo, 2007.
"Multivariate GARCH models,"
SSE/EFI Working Paper Series in Economics and Finance
669, Stockholm School of Economics, revised 18 Jan 2008.
- Annastiina Silvennoinen & Timo Teräsvirta, 2008. "Multivariate GARCH models," CREATES Research Papers 2008-06, Department of Economics and Business Economics, Aarhus University.
- Audrone Virbickaite & M. Concepción Ausín & Pedro Galeano, 2015. "Bayesian Inference Methods For Univariate And Multivariate Garch Models: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 76-96, February.
- Carlo Drago & Andrea Scozzari, 2022. "Evaluating conditional covariance estimates via a new targeting approach and a networks-based analysis," Papers 2202.02197, arXiv.org.
- 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.
- 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.
- Committee, Nobel Prize, 2003. "Time-series Econometrics: Cointegration and Autoregressive Conditional Heteroskedasticity," Nobel Prize in Economics documents 2003-1, Nobel Prize Committee.
More about this item
Keywords
East Asia; Real Output; GARCH; structural changes; asymmetric volatility;All these keywords.
JEL classification:
- F14 - International Economics - - Trade - - - Empirical Studies of Trade
- F31 - International Economics - - International Finance - - - Foreign Exchange
- P21 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Planning, Coordination, and Reform
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eab:tradew:22760. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Shiro Armstrong (email available below). General contact details of provider: https://edirc.repec.org/data/eaberau.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.