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dc.contributor.authorSabiwalsky, Ralfen_US
dc.description.abstractBasel II Pillar 3 reports provide information about banks' exposure towards a number of risk factors, such as corporate credit risk and interest rate risk. Previous studies find that the quality of such information is likely to be weak. We analyze the marginal contribution of pillar 3 exposure data to the quality of equity volatility forecasts for individual banks. Our method uses (local in time) measures of risk factor risk using a multivariate stochastic volatility model for five risk factors, and uses measures of bank sensitivity with respect to these risk factors. We use two sets of sensitivity measures. One takes into account pillar 3 information, and the other one does not. Generally, we generate volatility forecasts as if no market prices of equity were available for the bank the forecast is made for. We do this for banks for which such data is, in fact, available so that we can conduct ex post - tests of the quality of volatility forecasts. We find that (1) pillar 3 information allows for a better-than-random ranking of banks according to their risk, but (2) pillar 3 exposure data does not help reduce volatility forecast error magnitude.en_US
dc.publisher|aSFB 649, Economic Risk |cBerlinen_US
dc.relation.ispartofseries|aSFB 649 discussion paper |x2012-008en_US
dc.subject.keywordrisk reportingen_US
dc.subject.keywordstochastic volatilityen_US
dc.subject.keywordrisk factorsen_US
dc.subject.stwBasel IIen_US
dc.titleDoes Basel II pillar 3 risk exposure data help to identify risky banks?en_US
dc.typeWorking Paperen_US

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