Application of Steine's Lemma in Modern Finance
کد مقاله : 1034-FEMATH6
نویسندگان
آسیه ابطحی *
هیات علمی کروه ریاضی و آمار، دانشکده علوم و فناوریهای نوین، دانشگاه آزاد اسلامی شیراز- شیراز- ایران
چکیده مقاله
When two random variable have a
bivariate normal distribution, Stein's Lemma provides an
expression for the covariance of the first variable with a
function of the second. Stein's Lemma has many application in
statistics and probability and it plays an important role in
modern finance. Most of these applications were initially derived
in a multivariate normal context. In finance, however, asset
returns do not always display symmetry but may exhibit skewness.
This paper introduced a unified multivariate skewed distribution
and extend Stein's Lemma for two version of multivariate skewed
distribution. The Capital Asset Pricing Model is derived for one
version of this unified form. This model is widely used throughout
finance for pricing risky securities and generating expected
returns for assets given the risk of those assets and cost of
capital.It is shown that, under another version of the unified
form, the portfolios of all investors are expected utility
maximizers are located on a single mean-variance skewness surface.
کلیدواژه ها
Stein's Lemma, Unified skewed distribution, portfolio selection,Capital Asset Pricing Model.
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