Traditional risk parity approaches rely largely on volatility measures, which may not fully capture asymmetric risk profiles. This study examines a dynamic allocation approach that minimizes portfolio-level Conditional Value-at-Risk (CVaR). The CVaR-Minimizing Dynamic Allocation (CVaR-DA) approach is intended to manage...
Veraphong Chutipat, Peerapat Wattanasin, Tanpat Kraiwanit· Journal of Risk and Financia...· 0 citations
This work exploits the auxiliary-threshold representation of CVaR to establish the existence of an optimal strategy and strong duality without requiring market completeness, and proves that the resulting strategies converge to the optimal control as the number of iterations tends to infinity.
An-Ran Hu, Silvana M. Pesenti, Xiaofei Shi· 0 citations
Modern portfolio theory identifies diversification as the primary tool for risk reduction. However, under model uncertainty, this cornerstone may no longer remain optimal. This paper investigates the tension between portfolio diversification and concentration under dependence uncertainty. In the absence of model uncert...
This work proposes a single-level optimization formulation that incorporates the Karush-Kuhn-Tucker optimality conditions of the lower-level MVO into the upper-level learning problem, and explicitly preserves the budget and short-sale constraints while remaining tractable for standard nonlinear optimization solvers.
The Robust Mean-Variance Entropy model seeks to control the risk arising from estimation error by employing robust optimization, and aims to increase the diversification of the optimal portfolio by preventing concentrated allocations by incorporating Yager's entropy as a diversification measure.
A. Khosravi· Journal of Management and Bu...· 0 citations
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