Options
The minimum local cross-entropy criterion for inferring risk-neutral price distributions from traded options prices
Author(s)
Date Issued
2004-04-18
Date Available
2009-05-15T11:45:44Z
Abstract
A quantity known as the Local Cross-Entropy (LCE) for a density is proposed, defined
to be the local derivative of the Cross-Entropy between a density and a ’kernel-smoothed’ version of itself, with respect to bandwidth of the smoothing. This criterion is argued to be of the ’smoothness’ type and is also argued to be more sensible and ’natural’ than the
frequently used ’Maximum Entropy’ criterion for many applications. When applied to price
distributions in conjunction Options constraints the minimum LCE criterion is shown to produce estimates which share the best theoretical properties of the Maximum Entropy approach with the best practical properties of the estimators identified by Jackwerth and Rubinstein
to be the local derivative of the Cross-Entropy between a density and a ’kernel-smoothed’ version of itself, with respect to bandwidth of the smoothing. This criterion is argued to be of the ’smoothness’ type and is also argued to be more sensible and ’natural’ than the
frequently used ’Maximum Entropy’ criterion for many applications. When applied to price
distributions in conjunction Options constraints the minimum LCE criterion is shown to produce estimates which share the best theoretical properties of the Maximum Entropy approach with the best practical properties of the estimators identified by Jackwerth and Rubinstein
Type of Material
Working Paper
Publisher
University College Dublin. School of Business. Centre for Financial Markets
Series
Centre for Financial Markets working paper series
WP-04-01
Copyright (Published Version)
Centre for Financial Markets, 2004
Subject – LCSH
Maximum entropy method
Options (Finance)--Mathematical models
Derivative securities--Mathematical models
Language
English
Status of Item
Not peer reviewed
This item is made available under a Creative Commons License
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EDELMAN1.pdf
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71.75 KB
Format
Adobe PDF
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