Predicting Acquisitions in the Indian Financial Services Sector (Record no. 39341)
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| fixed length control field | 01386nam a22001937a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 231031b |||||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Venkateswaran Vinod |
| 245 ## - TITLE STATEMENT | |
| Title | Predicting Acquisitions in the Indian Financial Services Sector |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Noida |
| Name of publisher, distributor, etc | Indian Institute of Finance |
| Date of publication, distribution, etc | 2023 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | Vol XXXVII No 3 pg 717-736 |
| 520 ## - SUMMARY, ETC. | |
| SUMMARY, ETC. | Acquisitions are crucial for firm's growth strategy with various motivations such as economies of scale, new product or technology acquisition, introduction in new markets and increasing market share. These motivations are applicable in the financial services sector. In India acquisitions have gained prominence over the last few decades for reasons such as liberalization, globalization and access to capital markets. Research on predicting acquisitions over the previous four decades has been developed using traditional statistical modeling. In addition accounting data has been used as independent variables to determine the probability of acquisition. Two models have been developed using Random Forest and Logistic Regression for predicting takeovers in the Indian financial services industry. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Financial Services |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Industry |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine Learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Modeling |
| 700 ## - ADDITIONAL AUTHORS | |
| Personal name | S K Sudarsanam |
| 773 ## - HOST ITEM ENTRY | |
| Title | Finance India |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Article |
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| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
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| 700 ## - ADDITIONAL AUTHORS | |
| -- | 3267 |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Location (home branch) | Sublocation or collection (holding branch) | Date acquired | Koha issues (times borrowed) | Piece designation (barcode) | Koha date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | St. Francis Institute of Management and Research | St. Francis Institute of Management and Research | 10/31/2023 | AR1066 | 10/31/2023 | 10/31/2023 | Article |