
TL;DR
This paper provides explicit formulas and code for 101 real-life quantitative trading alphas, analyzing their properties such as holding periods, correlations, and relationships with volatility and turnover.
Contribution
It introduces a set of 101 explicit trading alphas with detailed analysis of their statistical and correlation properties, including their low pair-wise correlation and dependence on volatility.
Findings
Average holding period is 0.6-6.4 days
Pair-wise correlation of alphas is 15.9%
Returns are strongly correlated with volatility
Abstract
We present explicit formulas - that are also computer code - for 101 real-life quantitative trading alphas. Their average holding period approximately ranges 0.6-6.4 days. The average pair-wise correlation of these alphas is low, 15.9%. The returns are strongly correlated with volatility, but have no significant dependence on turnover, directly confirming an earlier result based on a more indirect empirical analysis. We further find empirically that turnover has poor explanatory power for alpha correlations.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFinancial Markets and Investment Strategies · Auditing, Earnings Management, Governance · Complex Systems and Time Series Analysis
MethodsEasy Way to Contact Cox Webmail Customer Support · How to Contact Cox Webmail Customer Service? · QuickBooks Enterprise Help Number – Expert Support Available · Google Workspace to Office 365 Migration
