We consider dynamic sublinear expectations (i.e., time-consistent coherent risk measures) whose scenario sets consist … of singular measures corresponding to a general form of volatility uncertainty. We derive a càdlàg nonlinear martingale …

how these volatility measures can be used for risk management. We find that momentum risk management significantly …We introduce a new class of momentum strategies, the risk-adjusted time series momentum (RAMOM) strategies, which are … based on averages of past futures returns, normalized by their volatility. We test these strategies on a universe of 64 …

While it is established that idiosyncratic volatility has a negative impact on the cross-section of future stock … returns, the relationship between idiosyncratic volatility and future hedge fund returns is largely unexplored. We document … that hedge funds with high idiosyncratic volatility outperform and this pattern is explained by the positive return effect …

We analyze an environment where the uncertainty in the equity market return and its volatility are both stochastic and … conditional equity premium and risk-free rate in equilibrium. Our empirical analysis shows that the equity premium appears to be … earned for facing uncertainty, especially high uncertainty that is disconnected from lower volatility, rather than for facing …

We test the existence of a time-series relationship between the aggregate idiosyncratic volatility and the market index … return at the global level by introducing various global measures of aggregate idiosyncratic volatility. We offer four … definitions of aggregate global idiosyncratic volatility (GIVOL) based on factor models and two other definitions, which are free …

Due to arbitrage risk asymmetries, the relationship between idiosyncratic risk and expected returns is positive …) legs of the anomaly portfolios with the highest idiosyncratic volatility produces monthly abnormal returns ranging from 0 … of idiosyncratic risk from the alternative models and throughout different periods …

significantly, when an inter-temporal risk parity strategy is applied. Volatility clustering and fat tails are behind this …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 …

Undiversifiable (or systematic risk) has long been an enemy of investors. Many countercyclical strategies have been … technique, founded on the premise of physiological bias and risk-aversion. We take a behavioral discussion in order to … negative betas to the S&P 500, while exhibiting similar risk-adjusted excess returns over both bull and bear markets. Further …

volatility jump diffusion model …