Fine-Tuning Private Equity Replication Using Textual Analysis
| Autor: | Aleksander Sobczyk, Ananth Madhavan |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Finance
Information Systems and Management business.industry Strategy and Management media_common.quotation_subject Private equity firm Capital call Venture capital Replication (computing) Private equity Computational Theory and Mathematics Artificial Intelligence Interim Cash Business Management and Accounting (miscellaneous) Portfolio Business and International Management business Information Systems media_common |
| Zdroj: | The Journal of Financial Data Science. 1:111-121 |
| ISSN: | 2640-3943 |
| DOI: | 10.3905/jfds.2019.1.1.111 |
| Popis: | In this article, the authors use textual analysis to create an investable, dynamic portfolio to mimic the factor characteristics of private equity. First, using textual analysis, they identify firms taken private by those firms in the 10-year period ending June 2018. Second, they use a multifactor model to measure the cross-sectional factor exposures of firms immediately prior to the announcement that they were being acquired by a private equity firm. Finally, they use holdings-based optimization to build a liquid, investible, long-only portfolio that dynamically mimics the factor characteristics of the portfolio of stocks that were taken private. Practitioner applications include interim beta solutions for investors (including venture capital and private equity firms) seeking to deploy excess cash, mitigate underfunding risk, and manage capital calls. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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