A new class of Bayesian semi-parametric models with applications to option pricing

被引:3
|
作者
Kacperczyk, Marcin [1 ]
Damien, Paul [2 ]
Walker, Stephen G. [3 ]
机构
[1] Stern Sch Business, Dept Finance, New York, NY 10012 USA
[2] Univ Texas Austin, McCombs Sch Business, Dept Informat Risk & Operat Management, Austin, TX 78712 USA
[3] Univ Kent, Inst Math Stat & Actuarial Sci, Canterbury CT2 7NF, Kent, England
关键词
Dirichlet process; Beta distribution; Scale mixtures; Options; STOCK RETURNS; VOLATILITY; DENSITY;
D O I
10.1080/14697688.2012.712212
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper develops a new family of Bayesian semi-parametric models. A particular member of this family is used to model option prices with the aim of improving out-of-sample predictions. A detailed empirical analysis is made for European index call and put options to illustrate the ideas.
引用
收藏
页码:967 / 980
页数:14
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