Search
× Search
Thursday, January 9, 2025

Archived Discussions

Recent member discussions

The Algorithmic Traders' Association prides itself on providing a forum for the publication and dissemination of its members' white papers, research, reflections, works in progress, and other contributions. Please Note that archive searches and some of our members' publications are reserved for members only, so please log in or sign up to gain the most from our members' contributions.

The Predictive Power of Information Ratios

photo

 Greg Kapoustin, Principal at AlphaBetaWorks

 Tuesday, September 27, 2016

Inspired by questions from the earlier post on the predictive power of Sharpe Ratios: Information ratios offer a large improvement over simple nominal returns, naive alphas, and Sharpe ratios, but still fall short of the most predictive metrics.


Print

4 comments on article "The Predictive Power of Information Ratios"

photo

 Cathal Rabbitte, Súil Eile. يعني Strategy and tail risk. Joined in the struggle against the veneration of crap. Especially groupthink

 Sunday, October 2, 2016



General Tail Risk laughs at ratios


photo

 Amit Mittal, The new Economics of Banking

 Monday, October 3, 2016



Seriously Cathal Rabbitte Tail Risk wouldn't dare just smirk anymore. and Information ratio and tail dependencies are two completely different approaches, the vol skew doesn't inform anyone and you lose a lot when you depend on predictions by cVAr unVar, DVar or any other numbers except price and profit. What are you on about


photo

 Amit Mittal, The new Economics of Banking

 Monday, October 3, 2016



And I agree the Information ratio by mere virtue of being a difference over a relevant benchmark will be much superior. Thanks to the author for taking extensive pains to show that.


photo

 Greg Kapoustin, Principal at AlphaBetaWorks

 Tuesday, October 4, 2016



The points about the shortcomings of ratios, and for that matter any parametric statistical tests of risk and performance are well-made.

Yet, among the various flawed metrics, some are more severely flawed than others. This discrimination between the relatively less flawed and the relatively more flawed metrics was the primary focus of the article.

Please login or register to post comments.

TRADING FUTURES AND OPTIONS INVOLVES SUBSTANTIAL RISK OF LOSS AND IS NOT SUITABLE FOR ALL INVESTORS
Terms Of UsePrivacy StatementCopyright 2018 Algorithmic Traders Association