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A MEAN–VARIANCE BOUND FOR A THREE-PIECE LINEAR FUNCTION
Journal article   Peer reviewed

A MEAN–VARIANCE BOUND FOR A THREE-PIECE LINEAR FUNCTION

Karthik Natarajan and Zhou Linyi
Probability in the engineering and informational sciences, Vol.21(4), pp.611-621
22/10/2007

Abstract

In this article, we derive a tight closed-form upper bound on the expected value of a three-piece linear convex function E[max(0, X, mX − z)] given the mean μ and the variance σ2 of the random variable X. The bound is an extension of the well-known mean–variance bound for E[max(0, X)]. An application of the bound to price the strangle option in finance is provided.

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