have struggled to incorporate private equity into this framework because they do not know how to estimate its risk. The …

This paper introduces an alternate measure of idiosyncratic risk leveraged from the decomposition method to further … eliminate the residual systematic risk inherent in the factor asset pricing model. Combining both complementary techniques … contributes to a more comprehensive firm-level idiosyncratic risk that is crucial in both portfolio diversification and alpha …

and risk features than very simple and very complex models. Combinations of two strategies help, in particular, to reduce … risk features like volatility and largest loss, which indicates that complete densities provide useful information for risk. …

Inter-temporal risk parity is a strategy that rebalances risky assets and cash in order to target a constant level of … ex-ante risk over time. When applied to equities and compared to a buy-and-hold portfolio it is known to improve the … Sharpe ratio and reduce drawdowns. We apply inter-temporal risk parity strategies to factor investing, namely value and …

pricing kernel with all underlying risk factors, we decompose the expected stock return into four risk premiums related to the …

systematic risk is highly nonlinear in extreme scenarios-especially during the subprime crisis. We find that countercyclical …-traditional risk premia by deliberately increasing their systematic risk while the later focus more on minimizing risk. Our results … suggest that the hedge fund strategies' betas respond more to illiquidity uncertainty than to illiquidity risk during crises …

estimates lead in turn to substantial gains for forecasting various risk measures at horizons ranging from a few days to a few … underestimation of risk during bad times or overestimation of risk during good times. We assess the attainable improvements in VaR …

decompositions, derives a network risk model for a portfolio of assets. As a normalized measure of the sum of variance contributions … deriving the network risk model, the portfolio covariance matrix is decomposed to obtain the network-driven component of the … both the variance and covariance decompositions. In a third step, using quantile regressions, the proposed network risk …