Download This Paper Open PDF in Browser

Index Option Returns and Generalized Entropy Bounds

74 Pages Posted: 21 Sep 2012 Last revised: 23 Jan 2018

Yan Liu

Texas A&M University, Department of Finance

Date Written: January 23, 2018

Abstract

We develop a new continuum of nonparametric bounds. They stem from the solution of an optimization problem that is complementary to the Hansen and Jagannathan (1991) approach, and are shown to complete the nonparametric bound universe the literature has so far discovered. Through the lens of these bounds, we estimate rare event distributions using index option returns. We show that standard disaster models and their perturbations are unable to meet the bounds implied by simple static option trading strategies. We also highlight the potential and the necessity of having more sophisticated disaster models to reconcile with the index option data.

Keywords: High-order moments, Pricing kernel, Rare disasters, Index options, Nonparametric bounds, Model diagnosis

JEL Classification: C10, C14, E21, G11, G12

Suggested Citation

Liu, Yan, Index Option Returns and Generalized Entropy Bounds (January 23, 2018). Available at SSRN: https://ssrn.com/abstract=2149265 or http://dx.doi.org/10.2139/ssrn.2149265

Yan Liu (Contact Author)

Texas A&M University, Department of Finance ( email )

Wehner 401Q, MS 4353
College Station, TX 77843-4218
United States

Paper statistics

Downloads
363
rank
70,667
Abstract Views
1,592