Value-at-risk (VaR) and conditional value-at-risk (CVaR) are popular risk measures from academic, industrial and regulatory perspectives. The problem of minimizing CVaR is theoretically known to be of a Neyman-Pearson type binary solution. We add a constraint on expected return to investigate...

Classical interval estimation ignores misspecification uncertainty that is almost inevitable in practice. This paper proposes an approach to construct an uncertainty interval that incorporates misspecification based on an $f$-divergence. We construct the uncertainty interval estimators using...

This paper incorporates model uncertainty to study an inter-temporal investment-consumption choice problem. Using a modified Cox-Ingersoll-Ross model in a complete market context, we propose an approach for quantifying uncertainty, which requires only an uncertainty parameter rather than an...