may incur smaller costs when takinga short-position, are less exposed to exchange rate risk, possess better information …

risk features like volatility and largest loss, which indicates that complete densities provide useful information for risk. … dynamic factor and a vector autoregressive model and includes stochastic volatility, denoted by FAVAR-SV. Next, a Bayesian … momentum strategy. The estimation of this modeling and strategy approach can be done using an extended and modified version of …

construction of reliablesemi-parametric estimates of the risk associated with extreme pricemovements. Our approach is based on semi …

extensive number of robustness checks. Overall, downside cash flow risk is priced most consistently across different samples … ability. The downside cash flow risk premium is mainly attributable to small stocks. The risk premium for large stocks appears … much more driven by a compensation for symmetric, cash flow related risk. Finally, we multiply our premia estimates by …

We study the optimal taxation of risk-free and excess capital income with heterogeneous rates of return, alongside an … optimal nonlinear earnings tax. Households can hold three assets: one risk-free, one risky but diversifiable, and one a … private investment with idiosyncratic risk whose expected return differs among households. Contrary to expectations, the …

paperinclude prospect theory, the Allais paradox, the computation ofinherent reward and risk, the mean-variance CAPM, and … paradigmassumes that any investment strategy has its own "inherent reward" and "inherent risk" that can be judged with common sense …. Ijustify axiomatically the existence and uniqueness (ratio scale)of inherent reward (U) and inherent risk (D) that could …