| Presentation | 2022-12-23 Finding of Corporate Growth Patterns by Shapley Values Seiji Matsuhashi, Yukari Shirota, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper explores the financial indicators (variables) that contribute to the J-league ranking of a club by regression analysis. Shapley values are used to interpret the results, because they can calculate the contribution of each explanatory variable to the target variable using the characteristic function of each club, allowing us to calculate the cost-effectiveness of the explanatory variables based on the internal characteristics of the club. Although the usual strategy is to improve the ranking by increasing the financial investment, we found that there were some medium-sized clubs that achieve improvement in the ranking by investing in the academy operation expenses. After showing that the Shapley value of academy management fees alone is not sufficient as a measurement of academy development achievement, we propose Matsuhashi's Measure that is its Shapley value times the participation ratio of graduated academy players. We show that this measure is effective in identifying growing medium-sized clubs. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Regression analysis / Shapley value / Financial structure / Cost-effectiveness / Academy development type |
| Paper # | IBISML2022-64 |
| Date of Issue | 2022-12-15 (IBISML) |
| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2022/12/22(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyoto University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine Learning, etc. |
| Chair | Masashi Sugiyama(Univ. of Tokyo) |
| Vice Chair | Toshihiro Kamishima(AIST) / Koji Tsuda(Univ. of Tokyo) |
| Secretary | Toshihiro Kamishima(NTT) / Koji Tsuda(Hokkaido Univ.) |
| Assistant | Yoshinobu Kawahara(Osaka Univ.) / Taiji Suzuki(Tokyo Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Infomation-Based Induction Sciences and Machine Learning |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Finding of Corporate Growth Patterns by Shapley Values |
| Sub Title (in English) | Case Study of Academy Development in the J-League |
| Keyword(1) | Regression analysis |
| Keyword(2) | Shapley value |
| Keyword(3) | Financial structure |
| Keyword(4) | Cost-effectiveness |
| Keyword(5) | Academy development type |
| 1st Author's Name | Seiji Matsuhashi |
| 1st Author's Affiliation | Gakushuin University(Gakushuin Univ) |
| 2nd Author's Name | Yukari Shirota |
| 2nd Author's Affiliation | Gakushuin University(Gakushuin Univ) |
| Date | 2022-12-23 |
| Paper # | IBISML2022-64 |
| Volume (vol) | vol.122 |
| Number (no) | IBISML-325 |
| Page | pp.pp.150-157(IBISML), |
| #Pages | 8 |
| Date of Issue | 2022-12-15 (IBISML) |