Filtered extreme-value theory for value-at-risk estimation: evidence from Turkey
AbstractPurpose – The purpose of this paper is to use filtered extreme-value theory (EVT) model to forecast one of the main emerging market stock returns and compare the predictive performance of this model with other conditional volatility models. Design/methodology/approach – This paper employs eight filtered EVT models created with conditional quantile to estimate value-at-risk (VaR) for the Istanbul Stock Exchange. The performances of the filtered EVT models are compared to those of generalized autoregressive conditional heteroskedasticity (GARCH), GARCH with student-t distribution, GARCH with skewed student-t distribution, and FIGARCH by using alternative back-testing algorithms, namely, Kupiec test, Christoffersen test, Lopez test, Diebold and Mariano test, root mean squared error (RMSE), and h-step ahead forecasting RMSE. Findings – The results indicate that filtered EVT performs better in terms of capturing fat-tails in stock returns than parametric VaR models. An increase in the conditional quantile decreases h-step ahead number of exceptions and this shows that filtered EVT with higher conditional quantile such as 40 days should be used for forward looking forecasting. Originality/value – The research results show that emerging market stock return should be forecasted with filtered EVT and conditional quantile days lag length should also be estimated based on forecasting performance.
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Bibliographic InfoArticle provided by Emerald Group Publishing in its journal Journal of Risk Finance.
Volume (Year): 11 (2010)
Issue (Month): 2 (February)
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- Cifter, Atilla & Ozun, Alper, 2007. "The Effects of International F/X Markets on Domestic Currencies Using Wavelet Networks: Evidence from Emerging Markets," MPRA Paper 2482, University Library of Munich, Germany.
- Gencay, Ramazan & Selcuk, Faruk, 2004. "Extreme value theory and Value-at-Risk: Relative performance in emerging markets," International Journal of Forecasting, Elsevier, vol. 20(2), pages 287-303.
- Laurent, Sebastien & Peters, Jean-Philippe, 2002. " G@RCH 2.2: An Ox Package for Estimating and Forecasting Various ARCH Models," Journal of Economic Surveys, Wiley Blackwell, vol. 16(3), pages 447-85, July.
- Gencay, Ramazan & Selcuk, Faruk & Ulugulyagci, Abdurrahman, 2003. "High volatility, thick tails and extreme value theory in value-at-risk estimation," Insurance: Mathematics and Economics, Elsevier, vol. 33(2), pages 337-356, October.
- Emese Lazar & Carol Alexander, 2006. "Normal mixture GARCH(1,1): applications to exchange rate modelling," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(3), pages 307-336.
- Baillie, Richard T. & Bollerslev, Tim & Mikkelsen, Hans Ole, 1996.
"Fractionally integrated generalized autoregressive conditional heteroskedasticity,"
Journal of Econometrics,
Elsevier, vol. 74(1), pages 3-30, September.
- Tom Doan, . "RATS programs to replicate Baillie, Bollerslev, Mikkelson FIGARCH results," Statistical Software Components RTZ00009, Boston College Department of Economics.
- Gupta, Anurag & Liang, Bing, 2005. "Do hedge funds have enough capital? A value-at-risk approach," Journal of Financial Economics, Elsevier, vol. 77(1), pages 219-253, July.
- Juan-Angel Jimenez-Martin & Michael McAleer & Teodosio Perez Amaral & Paulo Araujo Santos, 2013.
"GFC-Robust Risk Management under the Basel Accord using Extreme Value Methodologies,"
Tinbergen Institute Discussion Papers
13-070/III, Tinbergen Institute.
- Santos, P.A. & Jimenez-Martin, J-A. & McAleer, M.J. & Perez-Amaral, T., 2011. "GFC-Robust Risk Management Under the Basel Accord Using Extreme Value Methodologies," Econometric Institute Report EI2011-27, Erasmus University Rotterdam, Econometric Institute.
- Paulo Araújo Santos & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "GFC-Robust Risk Management Under the Basel Accord Using Extreme Value Methodologies," Documentos del Instituto Complutense de AnÃ¡lisis EconÃ³mico 2011-27, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales.
- Paulo Araújo Santos & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "GFC-Robust Risk Management Under the Basel Accord Using Extreme Value Methodologies," Working Papers in Economics 11/28, University of Canterbury, Department of Economics and Finance.
- Michael McAleer & Paulo Araújo Santos & Juan-Ángel Jiménez-Martín & Teodosio Pérez Amaral, 2011. "GFC-Robust Risk Management Under the Basel Accord Using Extreme Value Methodologies," KIER Working Papers 782, Kyoto University, Institute of Economic Research.
- Stavros Degiannakis & Christos Floros & Alexandra Livada, 2012. "Evaluating value-at-risk models before and after the financial crisis of 2008: International evidence," Managerial Finance, Emerald Group Publishing, vol. 38(3), pages 436-452, March.
- Juan-Angel Jimenez-Martin & Michael McAleer & Teodosio Perez Amaral & Paulo Araujo Santos, 2013. "GFC-Robust Risk Management under the Basel Accord using Extreme Value Methodologies," Tinbergen Institute Discussion Papers 13-070/III, Tinbergen Institute.
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