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Extreme Risk Management


Lisa R. Goldberg


University of California at Berkeley

Michael Y. Hayes


MSCI Inc.

Jose Menchero


MSCI Barra

Indrajit Mitra


Massachusetts Institute of Technology (MIT)

February 17, 2009

MSCI Barra Research Paper No. 2009-4

Abstract:     
Quantitative risk management relies on a constellation of tools that are used to analyze portfolio risk. We develop the standard toolkit, which includes betas, risk budgets and correlations, in a general, coherent, mnemonic framework centered around marginal risk contributions. We apply these tools to generate side-by-side analyses of volatility and expected shortfall, which is a measure of average portfolio excess of value-at-risk. We focus on two examples whose importance is highlighted by the current economic crisis. By examining downside protection provided by an out-of-the-money put option we show that the diversification benefit of the option is greater for a risk measure that is more highly concentrated in the tail of the distribution. By comparing two-asset portfolios that are distinguished only by the likelihood of coincident extreme events, we show that expected shortfall measures market contagion in a way that volatility cannot.

Number of Pages in PDF File: 16

Keywords: risk management, quantitative extreme

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Date posted: February 12, 2009 ; Last revised: February 19, 2009

Suggested Citation

Goldberg, Lisa R., Hayes, Michael Y., Menchero, Jose and Mitra , Indrajit, Extreme Risk Management (February 17, 2009). MSCI Barra Research Paper No. 2009-4. Available at SSRN: http://ssrn.com/abstract=1341363 or http://dx.doi.org/10.2139/ssrn.1341363

Contact Information

Lisa R. Goldberg (Contact Author)
University of California at Berkeley ( email )
Department of Statistics
Evans Hall
Berkeley, CA 94720
United States
Michael Y. Hayes
MSCI Inc. ( email )
2100 Milvia St.
Berkeley, CA 94704
United States
Jose Menchero
MSCI Barra ( email )
555 California Street, Suite 1400
San Francisco, CA 94104
United States
Indrajit Mitra
Massachusetts Institute of Technology (MIT) ( email )
77 Massachusetts Avenue
50 Memorial Drive
Cambridge, MA 02139-4307
United States
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