Stressing correlations and volatilities — A consistent modeling approach
We propose a new approach to the definition of stress scenarios for volatilities and correlations. Correlations and volatilities depend on a common market factor, which is the key to stressing them in a consistent and intuitive way. Our approach is based on a new asset price model where correlations and volatilities depend on the current state of the market, which captures market-wide movements in equity-prices. For sample portfolios we compare correlations and volatilities in a normal market and under stress and explore consequences for value-at-risk.
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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Karolyi, G Andrew & Stulz, Rene M, 1996.
" Why Do Markets Move Together? An Investigation of U.S.-Japan Stock Return Comovements,"
Journal of Finance,
American Finance Association, vol. 51(3), pages 951-86, July.
- G. Andrew Karoly & Rene Stulz, . "Why do Markets Move Together? An Investigation of U.S.-Japan Stock Return Comovements," Research in Financial Economics 9603, Ohio State University.
- Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-50, July.
- Charlotte Christiansen & Maik Schmeling & Andreas Schrimpf, 2012.
"A Comprehensive Look at Financial Volatility Prediction by Economic Variables,"
BIS Working Papers
374, Bank for International Settlements.
- Charlotte Christiansen & Maik Schmeling & Andreas Schrimpf, 2012. "A comprehensive look at financial volatility prediction by economic variables," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(6), pages 956-977, 09.
- Charlotte Christiansen & Maik Schmeling & Andreas Schrimpf, 2010. "A Comprehensive Look at Financial Volatility Prediction by Economic Variables," CREATES Research Papers 2010-58, Department of Economics and Business Economics, Aarhus University.
- Eugene F. Fama & Kenneth R. French, .
"Value versus Growth: The International Evidence,"
CRSP working papers
341, Center for Research in Security Prices, Graduate School of Business, University of Chicago.
- Lieven Baele, 2010.
"The Determinants of Stock and Bond Return Comovements,"
Review of Financial Studies,
Society for Financial Studies, vol. 23(6), pages 2374-2428, June.
- Lieven Baele & Geert Bekaert & Koen Inghelbrecht, 2009. "The Determinants of Stock and Bond Return Comovements," NBER Working Papers 15260, National Bureau of Economic Research, Inc.
- Lieven Baele & Geert Bekaert & Koen Inghelbrecht, 2007. "The determinants of stock and bond return comovements," Working Paper Research 119, National Bank of Belgium.
- Heston, Steven L. & Rouwenhorst, K. Geert, 1994. "Does industrial structure explain the benefits of international diversification?," Journal of Financial Economics, Elsevier, vol. 36(1), pages 3-27, August.
- Bekaert, Geert & Hodrick, Robert J. & Zhang, Xiaoyan, 2008.
"International stock return comovements,"
Working Paper Series
0931, European Central Bank.
- Geert Bekaert & Robert J. Hodrick & Xiaoyan Zhang, 2005. "International Stock Return Comovements," NBER Working Papers 11906, National Bureau of Economic Research, Inc.
- Bekaert, Geert & Hodrick, Robert J & Zhang, Xiaoyan, 2006. "International Stock Return Comovements," CEPR Discussion Papers 5955, C.E.P.R. Discussion Papers.
- Bekaert, Geert & Hodrick, Robert J. & Zhang, Xiaoyan, 2005. "International Stock Return Comovements," Working Papers 06-3, University of Pennsylvania, Wharton School, Weiss Center.
- Bollerslev, Tim & Engle, Robert F & Wooldridge, Jeffrey M, 1988. "A Capital Asset Pricing Model with Time-Varying Covariances," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 116-31, February.
- King, Mervyn & Sentana, Enrique & Wadhwani, Sushil, 1994.
"Volatility and Links between National Stock Markets,"
Econometric Society, vol. 62(4), pages 901-33, July.
- Mervyn King & Enrique Sentana & Sushil Wadhwani, 1990. "Volatiltiy and Links Between National Stock Markets," NBER Working Papers 3357, National Bureau of Economic Research, Inc.
- Francis X. Diebold & Kamil Yilmaz, 2008.
"Macroeconomic Volatility and Stock Market Volatility, Worldwide,"
NBER Working Papers
14269, National Bureau of Economic Research, Inc.
- Francis X. Diebold & Kamil Yılmaz, 2007. "Macroeconomic Volatility and Stock Market Volatility,World-Wide," Koç University-TUSIAD Economic Research Forum Working Papers 0711, Koc University-TUSIAD Economic Research Forum.
- Francis X. Diebold & Kamil Yilmaz, 2008. "Macroeconomic Volatility and Stock Market Volatility, World-Wide," PIER Working Paper Archive 08-031, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Uwe Kuchler & Eckhard Platen, 2000.
"Strong Discrete Time Approximation of Stochastic Differential Equations with Time Delay,"
Research Paper Series
44, Quantitative Finance Research Centre, University of Technology, Sydney.
- Küchler, Uwe & Platen, Eckhard, 2000. "Strong discrete time approximation of stochastic differential equations with time delay," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 54(1), pages 189-205.
- U. Küchler & E. Platen, 1999. "Strong discrete time approximation of Stochastic Differential Equations with Time Delay," SFB 373 Discussion Papers 1999,25, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Engle, Robert & Colacito, Riccardo, 2006. "Testing and Valuing Dynamic Correlations for Asset Allocation," Journal of Business & Economic Statistics, American Statistical Association, vol. 24, pages 238-253, April.
- Uwe Küchler & Michael Sørensen, 2010. "A simple estimator for discrete-time samples from affine stochastic delay differential equations," Statistical Inference for Stochastic Processes, Springer, vol. 13(2), pages 125-132, June.
- Eraker, Bjorn, 2001. "MCMC Analysis of Diffusion Models with Application to Finance," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(2), pages 177-91, April.
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