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Corporate Finance and Machine Learning
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Meng, Bo. |
| 단체저자명 | The University of Iowa. Business Administration. |
| 서명/저자사항 | Corporate Finance and Machine Learning. |
| 발행사항 | [S.l.] : The University of Iowa., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 181 p. |
| 소장본 주기 | School code: 0096. |
| ISBN | 9780438382213 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-02(E), Section: A.
Adviser: Anand M. Vijh. |
| 요약 | In this dissertation, I study corporate activities, and their predictive abilities of market returns. |
| 요약 | The first chapter examines the determinants of industry merger waves. We propose a continuous merger activity variable (MAV) as an alternative to discrete industry merger waves. We find that the ranking of MAV within a quarter is associated with |
| 요약 | The second chapter examines the predictive ability of many corporate activities, including mergers and acquisitions, insider trading, share repurchases, etc. Using machine learning approaches, we find that an aggregate index of corporate activit |
| 요약 | The third chapter examines the relationship between firm valuation and takeover activity, using the European debt crisis as a laboratory. The European debt crisis in mid-2011 caused a wide-spread redemption of money market mutual funds (MMFs) wi |
| 일반주제명 | Finance. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International80-02A(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14998208 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00027624 | 658 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
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