Numerous studies have suggested that more investors nowadays are incorporating skewness as a factor in the selection of equity portfolios and the composition of the optimal portfolio can be significantly affected by this factor. After comprehensive literature review on the debate of this topic and the methods in trying to incorporate skewness in portfolio optimization, the paper uses empirical data first on two-asset portfolios, then on multi-asset portfolios selected base on various criteria such as industry sectors, correlation coefficient, random pick etc., to test on the effect of skewness to the risk of the portfolio. From the experiment results generated by two-asset portfolios, we find that negative skewness is the weakest in risk re...
Prospect theory implies that assets with positively skewed returns should be traded at premium to as...
Previous literature finds that stocks with low market skewness risk outperform stocks with high mark...
Previous literature finds that stocks with low market skewness risk outperform stocks with high mark...
In this paper we investigate the statistical measure of skewness in a portfolio management setting a...
In this paper we investigate the statistical measure of skewness in a portfolio management setting ...
We investigate the pricing of risk-neutral skewness in the stock options market by creating skewness...
We investigate the pricing of risk-neutral skewness in the stock options market by creating skewness...
We investigate the pricing of risk-neutral skewness in the stock options market by creating skewness...
We investigate the pricing of risk-neutral skewness in the stock options market by creating skewness...
In this article, we consider the portfolio selection problem as a Bayesian decision problem. We comp...
This paper presents a new measure of skewness, skewness-aware deviation, that can be linked to prosp...
We seek the best skewness models for portfolio choice decisions. To this end, we compare the predict...
Preliminary investigation and normality tests had revealed the prevalence of nonnormality and eviden...
This paper presents a new measure of skewness, skewness-aware deviation, that can be linked to tail ...
This paper presents a new measure of skewness, skewness-aware deviation, that can be linked to tail ...
Prospect theory implies that assets with positively skewed returns should be traded at premium to as...
Previous literature finds that stocks with low market skewness risk outperform stocks with high mark...
Previous literature finds that stocks with low market skewness risk outperform stocks with high mark...
In this paper we investigate the statistical measure of skewness in a portfolio management setting a...
In this paper we investigate the statistical measure of skewness in a portfolio management setting ...
We investigate the pricing of risk-neutral skewness in the stock options market by creating skewness...
We investigate the pricing of risk-neutral skewness in the stock options market by creating skewness...
We investigate the pricing of risk-neutral skewness in the stock options market by creating skewness...
We investigate the pricing of risk-neutral skewness in the stock options market by creating skewness...
In this article, we consider the portfolio selection problem as a Bayesian decision problem. We comp...
This paper presents a new measure of skewness, skewness-aware deviation, that can be linked to prosp...
We seek the best skewness models for portfolio choice decisions. To this end, we compare the predict...
Preliminary investigation and normality tests had revealed the prevalence of nonnormality and eviden...
This paper presents a new measure of skewness, skewness-aware deviation, that can be linked to tail ...
This paper presents a new measure of skewness, skewness-aware deviation, that can be linked to tail ...
Prospect theory implies that assets with positively skewed returns should be traded at premium to as...
Previous literature finds that stocks with low market skewness risk outperform stocks with high mark...
Previous literature finds that stocks with low market skewness risk outperform stocks with high mark...