On inequalities for moments and the covariance of monotone functions
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Intuition based on the usual interpretation of the covariance of two random variables suggests that the inequality cov[f(X),g(X)]≥0 should hold for any random variable X and any two increasing functions f and g. The inequality holds indeed, but a proof is hard to find in the literature. In this paper we provide an elementary proof of a more general inequality for moments and we present several applications in actuarial mathematics.
[1] Paul R. Milgrom,et al. A theory of auctions and competitive bidding , 1982 .
[2] Jan Dhaene,et al. The Concept of Comonotonicity in Actuarial Science and Finance: Theory , 2002, Insurance: Mathematics and Economics.
[3] Marc Goovaerts,et al. Dependency of Risks and Stop-Loss Order , 1996, ASTIN Bulletin.
[4] Jan Dhaene,et al. Comonotonicity, correlation order and premium principles , 1998 .