Nonlinear valuation and non-Gaussian risks in finance /

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Bibliographic Details
Author / Creator:Madan, Dilip B., author.
Imprint:Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2022.
©2022
Description:1 online resource () : illustrations
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12709633
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Other authors / contributors:Schoutens, Wim, author.
ISBN:9781108993876
1108993877
9781316518090
Notes:Includes bibliographical references and index.
Description based on online resource; title from digital title page (viewed on March 17, 2022).
Other form:Print version: Madan, Dilip B. Nonlinear valuation and non-Gaussian risks in finance Cambridge ; New York, NY : Cambridge University Press, 2022 9781316518090
Table of Contents:
  • Univariate risk representation using arrival rates
  • Estimation of univariate arrival rates from time series data
  • Estimation of univariate arrival rates from option surface data
  • Multivariate arrival rates associated with prespecified univariate arrival rates
  • The measure-distorted valuation as a financial objective
  • Representing market realities
  • Measure-distorted value-maximizing hedges in practice
  • Conic hedging contributions and comparisons
  • Designing optimal univariate exposures
  • Multivariate static hedge designs using measure-distorted valuations
  • Static portfolio allocation theory for measure-distorted valuations
  • Dynamic valuation via nonlinear martingales and associated backward stochastic partial integro-differential equations
  • Dynamic portfolio theory
  • Enterprise valuation using infinite and finite horizon valuation of terminal liquidation
  • Economic acceptability
  • Trading Markovian models
  • Market implied measure-distortion parameters.