Does Basel II pillar 3 risk exposure data help to identify risky banks?

Arbeitspapier

Basel 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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: SFB 649 Discussion Paper ; No. 2012-008

Classification and Topics

• Classification: Wirtschaft ; Financial Forecasting and Simulation ; Banks; Depository Institutions; Micro Finance Institutions; Mortgages
• Subject: risk reporting ; stochastic volatility ; risk factors ; Basel II ; Bankrisiko ; Prognoseverfahren ; Volatilität ; Bankinsolvenz

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Sabiwalsky, Ralf
• Event: Veröffentlichung
• (who): Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk
• (where): Berlin
• (when): 2012

Further information

• Handle: http://hdl.handle.net/10419/56714
• Last update: 10.03.2025, 11:43 AM CET