On 11 March 2015, SUERF jointly organised a conference with the Oesterreichische Nationalbank and the Austrian Society for Bank Research (Bankwissenschaftliche Gesellschaft - BWG). The present SUERF Study 2015/2 includes a selection of papers based on the authors' contributions to the Vienna...

Under the new capital accord stress tests are to be included in market risk regulatory capital calculations. This development necessitates a coherent and objective framework for stress testing portfolios exposed to market risk. Following recent criticism of stress testing methods our tests are...

This paper deals with analysing and forecasting intradaily volatility in electricity spot prices. We analyse the hourly spot prices from the Argentine Electricity Market by grouping prices in three daily series (block bids). We estimate the VAR model for the conditional mean structure and...

Many popular techniques for determining a securities firm’s value at risk are based upon the calculation of the historical volatility of returns to the assets that comprise the portfolio, and of the correlations between them. One such approach is the J.P. Morgan RiskMetrics methodology using...

This study uses GARCH modelling to estimate and forecast conditional variances and covariances of returns calculated from a set of financial market series: twelve markka exchange rates, twelve corresponding shortterm euro interest rates and the Finnish short-term interest rate, the Finnish...

The study derives a theoretically and empirically founded procedure for volatility estimation and forecasting of daily financial return series for use in value-at-risk model frameworks.GARCH modelling is applied to account for time varying heteroskedastic conditional variances and...

The study derives a theoretically and empirically founded procedure for volatility estimation and forecasting of daily financial return series for use in value-at-risk model frameworks. GARCH modelling is applied to account for time varying heteroskedastic conditional variances and covariances....