BOUNDED STRATEGIES for MAXIMIZING the SHARPE RATIO

2Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Bernard et al. [(2019) Optimal strategies under omega ratio, European Journal of Operational Research 275 (2), 755-767] use convex ordering arguments to determine the bounded payoff for maximizing the omega ratio. However, it appears difficult to apply such reasoning to estimate the bounded payoff for maximizing the Sharpe ratio. As a proposed solution, this paper uses a Lagrange multiplier method to derive the bounded payoff for maximizing the Sharpe ratio. In contrast to the optimal strategy in Bernard & Vanduffel [(2014) Mean-variance optimal portfolios in the presence of a benchmark with applications to fraud detection, European Journal of Operational Research 234 (2), 469-480], the optimal strategy in this paper is bounded from below. It can protect investors from substantial losses when they invest in payoffs with a maximized Sharpe ratio.

Cite

CITATION STYLE

APA

Ye, J., Wang, Y., & Raza, M. W. (2023). BOUNDED STRATEGIES for MAXIMIZING the SHARPE RATIO. International Journal of Theoretical and Applied Finance, 26(1). https://doi.org/10.1142/S0219024923500024

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free