On a recent visit to UCSD, NYU Professor and Nobel Laureate Rob Engle called my attention to the NYU Stern Volatility Laboratory, a great resource that anyone can use to get some very interesting real-time analysis. Here I'd like to describe some of the features available for assessing the systemic risk posed by financial institutions.
The first step that Engle and colleagues propose is to calculate what they call the Marginal Expected Shortfall (MES) associated with a given financial institution. This is an estimate, based on recent dynamic variances and correlations of observed stock prices, of how much the stock valuation of a given institution would be expected to fall today if the overall market were to decline by more than 2%. This is essentially a time-varying tail-event beta, details of whose estimation can be found here.
See full Article.
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