Non-monotonic pricing kernel and an extended class of mixture of distributions for option pricing

被引:0
|
作者
Luiz Vitiello
Ser-Huang Poon
机构
[1] University of Essex,Essex Business School
[2] University of Manchester,Manchester Business School, Crawford House
来源
关键词
Mixture of distributions; Transformed-normal distribution; Risk neutral valuation relationship; Option pricing; G13;
D O I
暂无
中图分类号
学科分类号
摘要
We derive closed form European option pricing formulae under the general equilibrium framework for underlying assets that have an N\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$N$$\end{document}-mixture of transformed normal distributions. The component distributions need not belong to the same class but must all be transformed normal. An important implication of our results is that the mixture of distributions is consistent with a “what appears to be abnormal” non-monotonic (asset specific) pricing kernel for the S&P 500 and that the representative agent has a “logical” monotonic decreasing marginal utility. We show that a mixture of two lognormal distributions is sufficient to produce this result and also implied volatility smiles of a wide variety of shapes.
引用
收藏
页码:241 / 259
页数:18
相关论文
共 50 条
  • [31] Mixture Dynamics and Regime Switching Diffusions with Application to Option Pricing
    Ramponi, Alessandro
    METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY, 2011, 13 (02) : 349 - 368
  • [32] OPTION PRICING WITH HEAVY-TAILED DISTRIBUTIONS OF LOGARITHMIC RETURNS
    Basnarkov, Lasko
    Stojkoski, Viktor
    Utkovski, Zoran
    Kocarev, Ljupco
    INTERNATIONAL JOURNAL OF THEORETICAL AND APPLIED FINANCE, 2019, 22 (07)
  • [33] Non-monotonic iterative roots extended from characteristic intervals
    Liu, Liu
    Zhang, Weinian
    JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 2011, 378 (01) : 359 - 373
  • [34] Kernel-based Monte Carlo simulation for American option pricing
    Han, Gyu-Sik
    Kim, Bo-Hyun
    Lee, Jaewook
    EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (03) : 4431 - 4436
  • [35] Option augmented density forecasts of market returns with monotone pricing kernel
    Beare, Brendan K.
    Dossani, Asad
    QUANTITATIVE FINANCE, 2018, 18 (04) : 623 - 635
  • [36] Option Valuation with Nonmonotonic Pricing Kernel and Embedded Volatility Component Premiums
    Chang, Hsuan-Ling
    Cheng, Hung-Wen
    Lei, Yi-Ding
    Tsai, Jeffrey Tzuhao
    JOURNAL OF DERIVATIVES, 2023, 30 (04): : 105 - 127
  • [37] Option market trading activity and the estimation of the pricing kernel: A Bayesian approach
    Barone-Adesi, Giovanni
    Fusari, Nicola
    Mira, Antonietta
    Sala, Carlo
    JOURNAL OF ECONOMETRICS, 2020, 216 (02) : 430 - 449
  • [38] Application of kernel-based stochastic gradient algorithms to option pricing
    Barty, Kengy
    Girardeau, Pierre
    Strugarek, Cyrille
    Roy, Jean-Sebastien
    MONTE CARLO METHODS AND APPLICATIONS, 2008, 14 (02): : 99 - 127
  • [39] On the non-monotonic analogue of a class based on the hazard rate order
    Majumder, Priyanka
    Mitra, Murari
    STATISTICS & PROBABILITY LETTERS, 2018, 139 : 135 - 140
  • [40] On a non-monotonic ageing class based on the failure rate average
    Bhattacharyya, Dhrubasish
    Ghosh, Shyamal
    Mitra, Murari
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2022, 51 (14) : 4807 - 4826