Detecting Risk Transfer in Financial Markets using Different Risk Measures
High movements of asset prices constitute intrinsic elements of financial crises. There is a common agreement that extreme events are responsible for that. Making inference about the risk spillover and its effect on markets one should use such methods and tools that can fit properly for catastrophic events. In the paper Extreme Value Theory (EVT) invented particularly for modelling extreme events was used. The purpose of the paper is to model risky assets using EVT and to analyse the transfer of risk across the financial markets all over the world using the Granger causality in risk test. The concept of testing in causality in risk was extended to Spectral Risk Measure i.e., respective hypotheses were constructed and checked by simulation. The attention is concentrated on the Chinese financial processes and their relations with those in the rest of the globe. The original idea of the Granger causality in risk assumes usage of Value at Risk as a risk measure. We extended the scope of application of the test to Expected Shortfall and Spectral Risk Measure. The empirical results exhibit very interesting dependencies.
Volume (Year): 4 (2012)
Issue (Month): 1 (March)
|Contact details of provider:|| Web page: http://cejeme.org/|
References listed on IDEAS
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.:
- Kian-Ping Lim & Muzafar Shah Habibullah & Melvin J. Hinich, 2009. "The Weak-form Efficiency of Chinese Stock Markets," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 8(2), pages 133-163, May.
- Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
- Kevin Dowd & John Cotter & Ghulam Sorwar, 2008.
"Spectral Risk Measures: Properties and Limitations,"
Journal of Financial Services Research,
Springer, vol. 34(1), pages 61-75, August.
- Kevin Dowd & John Cotter & Ghulam Sorwar, 2011. "Spectral Risk Measures: Properties and Limitations," Papers 1103.5674, arXiv.org.
- Kevin Dowd & John Cotter & Ghulam Sorwar, 2010. "Spectral Risk Measures: Properties and Limitations," Working Papers 200839, Geary Institute, University College Dublin.
- McNeil, Alexander J. & Frey, Rudiger, 2000. "Estimation of tail-related risk measures for heteroscedastic financial time series: an extreme value approach," Journal of Empirical Finance, Elsevier, vol. 7(3-4), pages 271-300, November.
- Cotter, John & Dowd, Kevin, 2006.
"Extreme spectral risk measures: An application to futures clearinghouse margin requirements,"
Journal of Banking & Finance,
Elsevier, vol. 30(12), pages 3469-3485, December.
- John Cotter & Kevin Dowd, 2011. "Extreme Spectral Risk Measures: An Application to Futures Clearinghouse Margin Requirements," Papers 1103.5653, arXiv.org.
- Cotter, JOhn & Dowd, Kevin, 2006. "Extreme Spectral Risk Measures: An Application to Futures Clearinghouse Margin Requirements," MPRA Paper 3505, University Library of Munich, Germany.
- John Cotter & Kevin Dowd, 2011. "Extreme Spectral Risk Measures: An Application to Futures Clearinghouse Margin Requirements," Working Papers 200516, Geary Institute, University College Dublin.
- Keith Kuester & Stefan Mittnik & Marc S. Paolella, 2006. "Value-at-Risk Prediction: A Comparison of Alternative Strategies," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 4(1), pages 53-89.
- Acerbi, Carlo, 2002. "Spectral measures of risk: A coherent representation of subjective risk aversion," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1505-1518, July.
- Fotios C. Harmantzis & Linyan Miao & Yifan Chien, 2006. "Empirical study of value-at-risk and expected shortfall models with heavy tails," Journal of Risk Finance, Emerald Group Publishing, vol. 7(2), pages 117-135, March.
- Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-38, July.
When requesting a correction, please mention this item's handle: RePEc:psc:journl:v:4:y:2012:i:1:p:45-64. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Krzysztof Osiewalski)
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.