Equity Screeners to view more equity screening toolsMacys Inc has current Information Ratio of 0.2628. The Information Ratio is the ratio of the alpha component of total returns to the standard deviation of these excess alpha returns. The alpha component is the return that is attributable to the manager skill to time the market and is the residual after taking out the risk free return and the beta components from the total returns. While the Sharpe ratio considers the standard deviation of the total returns, the information ratio considers the variability of only the alpha component of the return (which also forms the numerator). In other words, the information ratio is merely Jensen alpha divided by its standard deviation. The Macroaxis Technical Indicators lookup allows users to check a given indicator for any equity or select from a set of available indicators by clicking on the link to the right. Please note, not all equities are covered by this module due to inconsistencies in global equity categorizations and data normalization technicques. Please check also
|ER[a]||=||Expected return on investing in Macys|
|ER[b]||=||Expected return on market index or selected benchmark|
|STD[a]||=||Standard Deviation of returns on Macys|
Information Ratio Comparison
Macys Inc is regarded second in information ratio category among related companies. It is regarded second in maximum drawdown category among related companies reporting about 46.24 of Maximum Drawdown per Information Ratio. The ratio of Maximum Drawdown to Information Ratio for Macys Inc is roughly 46.24
The higher the information ratio, the greater the chances of the manager to make money in the future. The information ratio only looks to compute the return per unit of risk undertaken for the alpha component. This is important because alpha returns are risky, as they represent a zero sum game for the market as a whole. In fact, average alpha for the market as a whole is in practice slightly less than zero because of transaction and other costs. Therefore it is easy for a manager to take on ?alpha risk? and lose money that will bite into the beta returns.
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