Implied Correlation from VaR
AbstractValue at risk (VaR) is a risk measure that has been widely implemented by financial institutions. This paper measures the correlation among asset price changes implied from VaR calculation. Empirical results using US and UK equity indexes show that implied correlation is not constant but tends to be higher for events in the left tails (crashes) than in the right tails (booms).
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Geary Institute, University College Dublin in its series Working Papers with number 200618.
Length: 10 pages
Date of creation: 07 2011
Date of revision:
Implied Correlation; Value at Risk;
Other versions of this item:
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-07-27 (All new papers)
- NEP-BAN-2011-07-27 (Banking)
- NEP-RMG-2011-07-27 (Risk Management)
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.:
- Andrew Ang & Geert Bekaert, 2002. "International Asset Allocation With Regime Shifts," Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1137-1187.
- Campa, Jose Manuel & Chang, P. H. Kevin, 1998.
"The forecasting ability of correlations implied in foreign exchange options,"
Journal of International Money and Finance,
Elsevier, vol. 17(6), pages 855-880, December.
- Jose M. Campa & P. H. Kevin Chang, 1997. "The Forecasting Ability of Correlations Implied in Foreign Exchange Options," NBER Working Papers 5974, National Bureau of Economic Research, Inc.
- Campa, J.M. & Chang, P.H.K., 1995. "The Forecasting Ability of Correlations Implied in Foreign Exchange Options," Papers 95-26, Columbia - Graduate School of Business.
- Kristin J. Forbes & Roberto Rigobon, 2002.
"No Contagion, Only Interdependence: Measuring Stock Market Comovements,"
Journal of Finance,
American Finance Association, vol. 57(5), pages 2223-2261, October.
- Kristin Forbes & Roberto Rigobon, 1999. "No Contagion, Only Interdependence: Measuring Stock Market Co-movements," NBER Working Papers 7267, National Bureau of Economic Research, Inc.
- 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.
- Lin, Wen-Ling & Engle, Robert F & Ito, Takatoshi, 1994. "Do Bulls and Bears Move across Borders? International Transmission of Stock Returns and Volatility," Review of Financial Studies, Society for Financial Studies, vol. 7(3), pages 507-38.
- François Longin, 2001. "Extreme Correlation of International Equity Markets," Journal of Finance, American Finance Association, vol. 56(2), pages 649-676, 04.
- Longin, Francois M., 2000. "From value at risk to stress testing: The extreme value approach," Journal of Banking & Finance, Elsevier, vol. 24(7), pages 1097-1130, July.
- Ramchand, Latha & Susmel, Raul, 1998. "Volatility and cross correlation across major stock markets," Journal of Empirical Finance, Elsevier, vol. 5(4), pages 397-416, October.
- Mittnik, Stefan, 2013.
"VaR-implied tail-correlation matrices,"
CFS Working Paper Series
2013/05, Center for Financial Studies (CFS).
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Geary Tech).
If references are entirely missing, you can add them using this form.