(CAPM) framework. The dynamic of systematic risk across time and frequency is analyzed to investigate stock risk … characteristics. We use a daily panel of French stocks from 2012 to 2022. Results show that varying systematic risk varies in time and … lesser robustness of risk profiles. Significant differences exist in short-run and long-run risk profiles, implying a …

We merge the literature on downside return risk and liquidity risk and introduce the concept of extreme downside … same time when the market liquidity (return) is lowest. This effect is not driven by linear or downside liquidity risk or … extreme downside return risk and is mainly driven by more recent years. There is no premium for stocks whose liquidity is …

We consider a portfolio optimization problem of the Black-Litterman type, in which we use the conditional value-at-risk … (CVaR) as the risk measure and we use the multi-variate elliptical distributions, instead of the multi-variate normal …

expectations of usually risk-averse investors. The manager should also consider that the investor are seeking for a downside … protection when the benchmark performs poorly and thus they should integrate a form of downside risk control. We propose a …, the control of the downside risk is carried out through the presence of a floor benchmark with respect to which we can …

According to the theory proposed by Acerbi & Scandolo (2008), the value of a portfolio is defined in terms of public …-Scandolo theory, portfolio valuation can be framed as a convex optimization problem. We provide useful MSDC models and show that …

Risk can be defined as the likelihood that you can deliver your promise. This paper has used the European put option … and the European call option to construct the p-index and c-index to measure the risk levels (likelihoods) of owning or ….e., higher risk for owning the assets; and (2) assets having higher up move have higher c-index, i.e., higher risk for short …