The situation of a limited availability of historical data is frequently encountered in portfolio risk estimation …, especially in credit risk estimation. This makes it, for example, difficult to find temporal structures with statistical …-portfolio specific volatility indices called portfolio risk drivers. The dynamics of the risk drivers are modelled by multiplicative …

The situation of a limited availability of historical data is frequently encountered in portfolio risk estimation …, especially in credit risk estimation. This makes it, for example, difficult to find temporal structures with statistical …-portfolio specific volatility indices called portfolio risk drivers. The dynamics of the risk drivers are modelled by multiplicative …

estimation and forecast of financial volatility. The research, chapter by chapter is summarized below. Chapter 1 provides … ; volatility asymmetry ; mixed frequency model ; conditional correlation ; risk evaluation … empirical evidence on univariate realized volatility forecasting in relation to asymmetries present in the dynamics of both …

Stocks with increases in idiosyncratic risk tend to earn low subsequent returns for a few months. However, high … idiosyncratic risk stocks eventually earn persistently high returns. These results are consistent with positively priced … idiosyncratic risk and temporary underreaction to idiosyncratic risk innovations. Because risk levels and innovations are correlated …