Skewness in financial markets
Skewness in general is a measure of asymmetry and uneven distribution.[1]
In investing skewness describes the fact that both historical returns of companies as well as expected returns of companies are unevenly distributed.
Historical Skewness
A study[2] conducted by Hendrik Bessembinder (or use:Carey School of Business?) which observed stock return data going back to 1926 (is this correct?) concluded that only 4% of companies have been responsible for the entire outperformance of stocks against treasury bills.
Skewness Prediction
When looking at implied volatility via option pricing it becomes apparent that investors are expecting a higher degree of under- or outperformance of some stocks compared to others. The Skew Index[3] uses that data to predict the skewness of stock market returns going forward [4]. It is measured between 100 and 150, with 150 indicating a high degree of skewness.
Detailed Discussions
Discussion:Consequences of Skewness in Angel/VC Investing