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Estimating the Value-at-Risk from High-frequency Data
Data augmentation Gibbs sampler Quadratic variation Time changed Brownian motion
2016/1/27
We present two alternative approaches for estimating VaR. Both approaches are based on the observation that each trading day is very diverse and we can observe K different phases of the trading day. W...
The availability of credit varies over the business cycle through shifts in the
leverage of financial intermediaries. Empirically, we find that intermediary leverage is negatively aligned...
Transitional credit modelling and its relationship to market value at risk: an Australian sectoral perspective
Conditional value at risk Credit risk Industries Transition matrix Value at risk
2011/8/26
Internal credit risk modelling is important for banks for the calculation of capital adequacy in terms of the Basel Accords, and for the management of sectoral exposure. We examine Credit Value at Ris...