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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...
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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...
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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...
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