Data Mining in Indian Equity Markets: building low Risk, Market beating Portfolios
Over the last five decades, business academics have identified over 300 determinants that potentially influence stock returns. However, we still do not know whether all return determinants are equally important, or whether there is a smaller set of determinants that has a disproportionately larger i...
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| Format: | Article |
| Language: | Russian |
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Government of the Russian Federation, Financial University
2023-10-01
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| Series: | Финансы: теория и практика |
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| Online Access: | https://financetp.fa.ru/jour/article/view/2400 |
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| author | S. R. Mitragotri N. Patel |
| author_facet | S. R. Mitragotri N. Patel |
| author_sort | S. R. Mitragotri |
| collection | DOAJ |
| description | Over the last five decades, business academics have identified over 300 determinants that potentially influence stock returns. However, we still do not know whether all return determinants are equally important, or whether there is a smaller set of determinants that has a disproportionately larger influence on stock returns. Can mining historical data help us find this smaller set of return determinants that has a disproportionately higher influence on stock returns? Using historical data from the Indian market, we build a large database of investments with more than 74,000 investments spread over a period of 132 months. From this database, using “association rule mining” method, we are able to mine a strong set of “association rules” that point to a smaller set of “return determinants” that are seen more frequently in investments that beat index returns. From a pool of thirty-seven return determinants, using “association rule mining”, we were able to find out a small set of key return determinants that are seen most frequently in investments that beat index returns in India. Portfolios created from these “association rules” have a portfolio risk lower than the market risk and provide index-beating returns. “Out-of-sample” portfolios created using these association rules have portfolio “Beta” less than one and provide returns that beat the market returns by a significant margin for all holding periods in the Indian market. Through this paper, we demonstrate how portfolio managers can mine “association rules” and build portfolios without any limits on the number of factors that can be included in the screening process. |
| format | Article |
| id | doaj-art-efea2e837aee492ba2ca6002b4d3eca7 |
| institution | Kabale University |
| issn | 2587-5671 2587-7089 |
| language | Russian |
| publishDate | 2023-10-01 |
| publisher | Government of the Russian Federation, Financial University |
| record_format | Article |
| series | Финансы: теория и практика |
| spelling | doaj-art-efea2e837aee492ba2ca6002b4d3eca72025-08-20T03:59:56ZrusGovernment of the Russian Federation, Financial UniversityФинансы: теория и практика2587-56712587-70892023-10-0127511512710.26794/2587-5671-2023-27-5-115-1271081Data Mining in Indian Equity Markets: building low Risk, Market beating PortfoliosS. R. Mitragotri0N. Patel1Nirma UniversityNirma UniversityOver the last five decades, business academics have identified over 300 determinants that potentially influence stock returns. However, we still do not know whether all return determinants are equally important, or whether there is a smaller set of determinants that has a disproportionately larger influence on stock returns. Can mining historical data help us find this smaller set of return determinants that has a disproportionately higher influence on stock returns? Using historical data from the Indian market, we build a large database of investments with more than 74,000 investments spread over a period of 132 months. From this database, using “association rule mining” method, we are able to mine a strong set of “association rules” that point to a smaller set of “return determinants” that are seen more frequently in investments that beat index returns. From a pool of thirty-seven return determinants, using “association rule mining”, we were able to find out a small set of key return determinants that are seen most frequently in investments that beat index returns in India. Portfolios created from these “association rules” have a portfolio risk lower than the market risk and provide index-beating returns. “Out-of-sample” portfolios created using these association rules have portfolio “Beta” less than one and provide returns that beat the market returns by a significant margin for all holding periods in the Indian market. Through this paper, we demonstrate how portfolio managers can mine “association rules” and build portfolios without any limits on the number of factors that can be included in the screening process.https://financetp.fa.ru/jour/article/view/2400stock returnsmining association rulesreturn-determinantsportfolio-risk |
| spellingShingle | S. R. Mitragotri N. Patel Data Mining in Indian Equity Markets: building low Risk, Market beating Portfolios Финансы: теория и практика stock returns mining association rules return-determinants portfolio-risk |
| title | Data Mining in Indian Equity Markets: building low Risk, Market beating Portfolios |
| title_full | Data Mining in Indian Equity Markets: building low Risk, Market beating Portfolios |
| title_fullStr | Data Mining in Indian Equity Markets: building low Risk, Market beating Portfolios |
| title_full_unstemmed | Data Mining in Indian Equity Markets: building low Risk, Market beating Portfolios |
| title_short | Data Mining in Indian Equity Markets: building low Risk, Market beating Portfolios |
| title_sort | data mining in indian equity markets building low risk market beating portfolios |
| topic | stock returns mining association rules return-determinants portfolio-risk |
| url | https://financetp.fa.ru/jour/article/view/2400 |
| work_keys_str_mv | AT srmitragotri datamininginindianequitymarketsbuildinglowriskmarketbeatingportfolios AT npatel datamininginindianequitymarketsbuildinglowriskmarketbeatingportfolios |