Open Source Fundamental Industry Classification

作者: Zura Kakushadze , Willie Yu

DOI: 10.2139/SSRN.2954300

关键词:

摘要: We provide complete source code for building a fundamental industry classification based on publically available and freely downloadable data. compare various classifications by running horserace of short-horizon trading signals (alphas) utilizing open heterotic risk models (http://ssrn.com/abstract=2600798) built using such classifications. Our includes stand-alone portable modules, e.g., downloading/parsing web data, etc.

参考文章(79)
Staffan Laestadius, The Classification and Taxonomy of Industries -Measuring the Right Thing Peter Lang Publishing Group. pp. 63- 84 ,(2005)
Zura Kakushadze, Heterotic Risk Models Social Science Research Network. ,(2015) , 10.2139/SSRN.2600798
Zura Kakushadze, Russian-Doll Risk Models Social Science Research Network. ,(2015) , 10.2139/SSRN.2538123
Kathleen M. Kahle, Ralph A. Walkling, The Impact of Industry Classifications on Financial Research Social Science Research Network. ,(1996) , 10.2139/SSRN.40169
Zura Kakushadze, Mean-Reversion and Optimization Social Science Research Network. ,(2014) , 10.2139/SSRN.2478345
Pierre Cizeau, Marc Potters, Jean-Philippe Bouchaud, Correlation Structure of Extreme Stock Returns Social Science Research Network. ,(2001) , 10.2139/SSRN.231577
Charles M.C. Lee, Paul Ma, Charles C. Y. Wang, Search Based Peer Firms: Aggregating Investor Perceptions through Internet Co-Searches Social Science Research Network. ,(2014) , 10.2139/SSRN.2171497
Geoffery C. Bowker, Susan Leigh Star, Sorting Things Out: Classification and Its Consequences ,(1999)