The Resource Investment intelligence from insider trading, H. Nejat Seyhun
Investment intelligence from insider trading, H. Nejat Seyhun
Resource Information
The item Investment intelligence from insider trading, H. Nejat Seyhun represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri-St. Louis Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Investment intelligence from insider trading, H. Nejat Seyhun represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri-St. Louis Libraries.
This item is available to borrow from 1 library branch.
- Summary
- Learn how to profit from information about insider trading.The term insider trading refers to the stock transactions of the officers, directors, and large shareholders of a firm. Many investors believe that corporate insiders, informed about their firms' prospects, buy and sell their own firm's stock at favorable times, reaping significant profits. Given the extra costs and risks of an active trading strategy, the key question for stock market investors is whether the publicly available insider-trading information can help them to outperform a simple passive index fund.Basing his insights on an exhaustive data set that captures information on all reported insider trading in all publicly held firms over the past twenty-one years--over one million transactions!--H. Nejat Seyhun shows how investors can use insider information to their advantage. He documents the magnitude and duration of the stock price movements following insider trading, determinants of insiders' profits, and the risks associated with imitating insider trading. He looks at the likely performance of individual firms and of the overall stock market, and compares the value of what one can learn from insider trading with commonly used measures of value such as price-earnings ratio, book-to-market ratio, and dividend yield
- Language
- eng
- Extent
- 1 online resource (xxxvii, 402 pages)
- Contents
-
- Preface
- Acknowledgments
- Introduction
- 1. Inside-trading patterns
- 2. Does inside trading predict future stock returns?
- 3. A stock-picking strategy
- 4. Predicting future market returns
- 5. Crash of october 1987 and inside trading
- 6. Dividend yields and inside trading
- 7. Dividend initiations
- 8. Earnings announcements
- 9. Price-earnings ratio
- 10. Book-to-market ratio
- 11. Insider trading in target firms
- 12. Insider trading in bidder firms
- 13. Momentum and mean reversion
- 14. Implementation and conclusions
- Notes
- References
- Index
- Isbn
- 9780585078403
- Label
- Investment intelligence from insider trading
- Title
- Investment intelligence from insider trading
- Statement of responsibility
- H. Nejat Seyhun
- Language
- eng
- Summary
- Learn how to profit from information about insider trading.The term insider trading refers to the stock transactions of the officers, directors, and large shareholders of a firm. Many investors believe that corporate insiders, informed about their firms' prospects, buy and sell their own firm's stock at favorable times, reaping significant profits. Given the extra costs and risks of an active trading strategy, the key question for stock market investors is whether the publicly available insider-trading information can help them to outperform a simple passive index fund.Basing his insights on an exhaustive data set that captures information on all reported insider trading in all publicly held firms over the past twenty-one years--over one million transactions!--H. Nejat Seyhun shows how investors can use insider information to their advantage. He documents the magnitude and duration of the stock price movements following insider trading, determinants of insiders' profits, and the risks associated with imitating insider trading. He looks at the likely performance of individual firms and of the overall stock market, and compares the value of what one can learn from insider trading with commonly used measures of value such as price-earnings ratio, book-to-market ratio, and dividend yield
- Cataloging source
- N$T
- http://library.link/vocab/creatorDate
- 1954-
- http://library.link/vocab/creatorName
- Seyhun, Hasan Nejat
- Dewey number
- 364.16/8
- Illustrations
- illustrations
- Index
- index present
- LC call number
- HG4910
- LC item number
- .S416 1998eb
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- http://library.link/vocab/subjectName
-
- Insider trading in securities
- TRUE CRIME
- Insider trading in securities
- United States
- Effectenhandel
- Insiders
- Label
- Investment intelligence from insider trading, H. Nejat Seyhun
- Bibliography note
- Includes bibliographical references (pages 377-390) and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Preface -- Acknowledgments -- Introduction -- 1. Inside-trading patterns -- 2. Does inside trading predict future stock returns? -- 3. A stock-picking strategy -- 4. Predicting future market returns -- 5. Crash of october 1987 and inside trading -- 6. Dividend yields and inside trading -- 7. Dividend initiations -- 8. Earnings announcements -- 9. Price-earnings ratio -- 10. Book-to-market ratio -- 11. Insider trading in target firms -- 12. Insider trading in bidder firms -- 13. Momentum and mean reversion -- 14. Implementation and conclusions -- Notes -- References -- Index
- Control code
- 42856078
- Dimensions
- unknown
- Extent
- 1 online resource (xxxvii, 402 pages)
- Form of item
- online
- Isbn
- 9780585078403
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- illustrations
- Specific material designation
- remote
- System control number
- (OCoLC)42856078
- Label
- Investment intelligence from insider trading, H. Nejat Seyhun
- Bibliography note
- Includes bibliographical references (pages 377-390) and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Preface -- Acknowledgments -- Introduction -- 1. Inside-trading patterns -- 2. Does inside trading predict future stock returns? -- 3. A stock-picking strategy -- 4. Predicting future market returns -- 5. Crash of october 1987 and inside trading -- 6. Dividend yields and inside trading -- 7. Dividend initiations -- 8. Earnings announcements -- 9. Price-earnings ratio -- 10. Book-to-market ratio -- 11. Insider trading in target firms -- 12. Insider trading in bidder firms -- 13. Momentum and mean reversion -- 14. Implementation and conclusions -- Notes -- References -- Index
- Control code
- 42856078
- Dimensions
- unknown
- Extent
- 1 online resource (xxxvii, 402 pages)
- Form of item
- online
- Isbn
- 9780585078403
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- illustrations
- Specific material designation
- remote
- System control number
- (OCoLC)42856078
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.umsl.edu/portal/Investment-intelligence-from-insider-trading-H./phR9oyYLSfE/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.umsl.edu/portal/Investment-intelligence-from-insider-trading-H./phR9oyYLSfE/">Investment intelligence from insider trading, H. Nejat Seyhun</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.umsl.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.umsl.edu/">University of Missouri-St. Louis Libraries</a></span></span></span></span></div>
