A note on the Wang transform for stochastic volatility pricing models

被引:1
作者
Badescu, Alexandru [1 ]
Cui, Zhenyu [2 ]
Ortega, Juan-Pablo [3 ,4 ]
机构
[1] Univ Calgary, Dept Math & Stat, Calgary, AB, Canada
[2] Stevens Inst Technol, Financial Engn Div, Sch Syst & Enterprises, Hoboken, NJ 07030 USA
[3] Univ Sankt Gallen, Fac Math & Stat, St Gallen, Switzerland
[4] CNRS, F-75700 Paris, France
基金
加拿大自然科学与工程研究理事会;
关键词
Distortion function; Stochastic discount factor; Generalized local risk-neutral valuation relationship; GARCH models; Weak convergence; Stochastic volatility; OPTION VALUATION; GARCH MODELS; INNOVATIONS; VARIANCE; RISKS; VIX;
D O I
10.1016/j.frl.2016.07.011
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
In this paper we study a conditional version of the Wang transform in the context of discrete GARCH models and their diffusion limits. Our first contribution shows that the conditional Wang transform and Duans generalized local risk-neutral valuation relationship based on equilibrium considerations, lead to the same GARCH option pricing model. We derive the weak limit of an asymmetric GARCH model risk-neutralized via Wang's transform. The connection with stochastic volatility limits constructed using other standard pricing kernels, such as the conditional Esscher transform or the extended Girsanov principle, is further investigated by comparing the corresponding market prices of variance risk. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码:189 / 196
页数:8
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