Download or read book Building an Insider Trading Database and Predicting Future Equity Returns written by John Ryle and published by . This book was released on 2017 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper considers the impact of legal insider trading on subsequent investment returns. With filings data gathered directly from the Security Exchange Commission, various machine learning algorithms are applied, scored and compared for their return predictability relative to the Russell 3000 index. Predictor variables are derived directly from the insider filings, as well as from metadata from related corporate filings. The filings data, spanning years 2005 through 2015, is transformed into a relational database and analyzed using statistical analysis and predictive modeling libraries within the R programming language. The data is separated into training, validation and test sets. Modeling was performed using a variety of algorithms. Performance in the validation set appeared quite predictive, but results were less conclusive when scored on the test set.

Download or read book Investment Intelligence from Insider Trading written by H. Nejat Seyhun and published by MIT Press. This book was released on 2000-02-28 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Why Does Aggregate Insider Trading Predict Future Stock Returns written by Hasan Nejat Seyhun and published by . This book was released on 1991 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Trading with the Insiders written by Jonathan Moreland and published by Bloomberg Press. This book was released on 2017-07-05 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: A detailed guide to profitably piggybacking on the trading moves made by corporate insiders Today, "insider data" is readily available for every publicly available stock. And while stories of illegal "insider trading" abound, the fact is that it is completely legal for corporate executives and directors to freely buy and sell shares of their own firm, as long as they report their transactions to the Securities and Exchange Commission (SEC). Given that company insiders presumably have a better handle on company performance and prospects than outside investors, these transactions may provide you with valuable clues about the future of the company's stock price. Now, in Trade with the Insiders, author Jonathan Moreland, an expert in the analysis of insider stock transaction data, reveals how you can use this information to improve your trading performance. This reliable resource will help investors track how "insiders" trade their own companies' shares by following the Form 4s filed at the SEC. Along the way, it will skillfully guide you through both the how's and why's of making the most of this profitable data stream. Describes how to distinguish between different types of insider transactions The author has used insider data as a major component in his stock recommendations, which have outperformed the S&P 500 index by more than fivefold over the last decade Discusses how to zero in on those transactions that are most likely indicative of a company's future prospects In today's dynamic market, actions speak louder than words. So if you want to improve your trading performance, look at the way corporate executives handle the shares of their company and turn those insights into profits for your portfolio.

Download or read book Insider Trading and Future Stock Returns in Firms With Concentrated Ownership Levels written by Dimitris K. Chronopoulos and published by . This book was released on 2018 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: We investigate the relationship between insider trading and stock returns in firms with concentrated ownership. To this end, we employ data from East Asian countries which span the period 2003:01-2012:05. Consistent with previous literature, we find a significantly negative relation between the selling activity of insiders and stock returns. However, contrary to studies which focus on highly developed markets, we find that the buying activity of insiders is also inversely related to future stock returns. Our analysis shows that top directors with higher ownership levels drive this result, suggesting that the trading activity of insiders is not always associated with profit making motives and can be explained by their level of ownership. Furthermore, we demonstrate that a trading strategy which focuses solely on purchases made by top directors with high ownership levels yields negative returns. The paper has important implications for outside investors who mimic the trading activity of insiders with the aim to realize profits.

Download or read book Does Insider Trading Predict the Future Stock Return written by Sonia Afroz and published by . This book was released on 2005 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Insider Trading written by Yun Ma and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Corporate executives are prohibited from trading on material nonpublic information. In 2000, the SEC enacted Rule 10b5-1, which allows insiders to preplan their transactions before being aware of material nonpublic information. However, do corporate executives subsequently influence the timing and content of information disclosure to benefit their preplanned trades? We examine cumulative abnormal returns (CARs) around insider transactions and document patterns suggesting that insiders are "perfect" timers. That is, stock prices go up (go down) prior to but drop (back up) after insider sells (buys). Further classifying insider trades into preplanned (routine) trades and non-preplanned (opportunistic) trades, we show that the stock return patterns hold not only for non-preplanned (opportunistic) trades but also for preplanned (routine) trades. Using 8-K filings as a proxy of corporate discretionary disclosure, we find that there are significantly more 8-K filings prior to insider trades than during normal times. Moreover, based on the sentiment score from RavenPack News Analytics, we find that analyst reports and corporate news releases both have significant explanatory power of stock returns around insider transactions. The evidence documented in our study cannot rule out the hypothesis that corporate executives influence the timing and content of information disclosure to benefit their preplanned trades. In the second part of my dissertation, we investigate in insider trading's implications on stock returns. The literature posits that insiders are contrarian, i.e., buy stocks when they are under-valued and sell stocks when they are over-valued. In addition, insider transactions contain information about future firm fundamentals. As such, insider trading helps improve stock price efficiency and promote stock price discovery. In this study, we test the implications of both hypotheses. First, we follow the literature and identify undervalued and overvalued stocks and examine whether insider trades help correct mispricing of these stocks. Second, we examine whether insider trades contain more information about future firm fundamentals for mispriced stocks and the extent to which insider trades incorporate future fundamental information into stock prices. Our findings indicate that insider transactions play a role in correcting mispricing. However, the effect is significant mainly for overvalued stocks over short-term and undervalued stocks over long-term. In addition, we find that insider transactions contain information about long-term future firm fundamentals mainly for overvalued stocks. Nevertheless, our analysis suggests that insider transactions only incorporate a small fraction of future firm fundamental information into stock prices. To sharpen our analysis, we exclude pre-scheduled or routine insider trades, which are believed to be less informed of stock valuation and replicate our empirical tests, and show that our main findings are consistent.

Download or read book Trading with the Insiders written by Jonathan Moreland and published by Bloomberg Press. This book was released on 2017-07-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A detailed guide to profitably piggybacking on the trading moves made by corporate insiders Today, "insider data" is readily available for every publicly available stock. And while stories of illegal "insider trading" abound, the fact is that it is completely legal for corporate executives and directors to freely buy and sell shares of their own firm, as long as they report their transactions to the Securities and Exchange Commission (SEC). Given that company insiders presumably have a better handle on company performance and prospects than outside investors, these transactions may provide you with valuable clues about the future of the company's stock price. Now, in Trade with the Insiders, author Jonathan Moreland, an expert in the analysis of insider stock transaction data, reveals how you can use this information to improve your trading performance. This reliable resource will help investors track how "insiders" trade their own companies' shares by following the Form 4s filed at the SEC. Along the way, it will skillfully guide you through both the how's and why's of making the most of this profitable data stream. Describes how to distinguish between different types of insider transactions The author has used insider data as a major component in his stock recommendations, which have outperformed the S&P 500 index by more than fivefold over the last decade Discusses how to zero in on those transactions that are most likely indicative of a company's future prospects In today's dynamic market, actions speak louder than words. So if you want to improve your trading performance, look at the way corporate executives handle the shares of their company and turn those insights into profits for your portfolio.

Download or read book Short Run Stock Market Forecasting with Adjusted Insider Trading Data written by H. D. Vinod and published by . This book was released on 1992 with total page 4 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper is concerned with the open-market transactions of corporate insiders. The Securities and Exchange Commission (SEC) publishes information on the buying and selling activities of insiders. which market analysts use to uncover insider sentiment about the prospects of their own corporations and of the entire market. However, the law requires that these transactions be reported to the SEC by the tenth day of the month following a transaction. Moreover, many insiders do not comply with this regulation. Therefore, the available data are always out-of-date in a random manner. We also found that the time lags in reporting buy and sell transactions are different. Since the available data are truncated, it was necessary to adjust the observed probability density function (pdf). We used distributed lag models to study their out-of-sample forecasting performance.

Download or read book Portfolio Preferences of Foreign Institutional Investors written by Reena Aggarwal and published by World Bank Publications. This book was released on 2003 with total page 47 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Handbook of Equity Market Anomalies written by Leonard Zacks and published by John Wiley & Sons. This book was released on 2011-08-24 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Investment pioneer Len Zacks presents the latest academic research on how to beat the market using equity anomalies The Handbook of Equity Market Anomalies organizes and summarizes research carried out by hundreds of finance and accounting professors over the last twenty years to identify and measure equity market inefficiencies and provides self-directed individual investors with a framework for incorporating the results of this research into their own investment processes. Edited by Len Zacks, CEO of Zacks Investment Research, and written by leading professors who have performed groundbreaking research on specific anomalies, this book succinctly summarizes the most important anomalies that savvy investors have used for decades to beat the market. Some of the anomalies addressed include the accrual anomaly, net stock anomalies, fundamental anomalies, estimate revisions, changes in and levels of broker recommendations, earnings-per-share surprises, insider trading, price momentum and technical analysis, value and size anomalies, and several seasonal anomalies. This reliable resource also provides insights on how to best use the various anomalies in both market neutral and in long investor portfolios. A treasure trove of investment research and wisdom, the book will save you literally thousands of hours by distilling the essence of twenty years of academic research into eleven clear chapters and providing the framework and conviction to develop market-beating strategies. Strips the academic jargon from the research and highlights the actual returns generated by the anomalies, and documented in the academic literature Provides a theoretical framework within which to understand the concepts of risk adjusted returns and market inefficiencies Anomalies are selected by Len Zacks, a pioneer in the field of investing As the founder of Zacks Investment Research, Len Zacks pioneered the concept of the earnings-per-share surprise in 1982 and developed the Zacks Rank, one of the first anomaly-based stock selection tools. Today, his firm manages U.S. equities for individual and institutional investors and provides investment software and investment data to all types of investors. Now, with his new book, he shows you what it takes to build a quant process to outperform an index based on academically documented market inefficiencies and anomalies.

Download or read book Machine Learning and Knowledge Discovery in Databases Applied Data Science and Demo Track written by Yuxiao Dong and published by Springer Nature. This book was released on 2021-02-24 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic. The 232 full papers and 10 demo papers presented in this volume were carefully reviewed and selected for inclusion in the proceedings. The volumes are organized in topical sections as follows: Part I: Pattern Mining; clustering; privacy and fairness; (social) network analysis and computational social science; dimensionality reduction and autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent neural networks; collaborative filtering and matrix completion. Part II: deep learning optimization and theory; active learning; adversarial learning; federated learning; Kernel methods and online learning; partial label learning; reinforcement learning; transfer and multi-task learning; Bayesian optimization and few-shot learning. Part III: Combinatorial optimization; large-scale optimization and differential privacy; boosting and ensemble methods; Bayesian methods; architecture of neural networks; graph neural networks; Gaussian processes; computer vision and image processing; natural language processing; bioinformatics. Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition; applied data science: hardware and manufacturing; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: healthcare; applied data science: e-commerce and finance; applied data science: computational social science; applied data science: sports; demo track.

Download or read book Empirical Asset Pricing written by Wayne Ferson and published by MIT Press. This book was released on 2019-03-12 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensive advanced introduction to asset pricing, the study of models for the prices and returns of various securities. The focus is empirical, emphasizing how the models relate to the data. The book offers a uniquely integrated treatment, combining classical foundations with more recent developments in the literature and relating some of the material to applications in investment management. It covers the theory of empirical asset pricing, the main empirical methods, and a range of applied topics. The book introduces the theory of empirical asset pricing through three main paradigms: mean variance analysis, stochastic discount factors, and beta pricing models. It describes empirical methods, beginning with the generalized method of moments (GMM) and viewing other methods as special cases of GMM; offers a comprehensive review of fund performance evaluation; and presents selected applied topics, including a substantial chapter on predictability in asset markets that covers predicting the level of returns, volatility and higher moments, and predicting cross-sectional differences in returns. Other chapters cover production-based asset pricing, long-run risk models, the Campbell-Shiller approximation, the debate on covariance versus characteristics, and the relation of volatility to the cross-section of stock returns. An extensive reference section captures the current state of the field. The book is intended for use by graduate students in finance and economics; it can also serve as a reference for professionals.

Download or read book Investment Philosophies written by Aswath Damodaran and published by John Wiley & Sons. This book was released on 2012-06-22 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: The guide for investors who want a better understanding of investment strategies that have stood the test of time This thoroughly revised and updated edition of Investment Philosophies covers different investment philosophies and reveal the beliefs that underlie each one, the evidence on whether the strategies that arise from the philosophy actually produce results, and what an investor needs to bring to the table to make the philosophy work. The book covers a wealth of strategies including indexing, passive and activist value investing, growth investing, chart/technical analysis, market timing, arbitrage, and many more investment philosophies. Presents the tools needed to understand portfolio management and the variety of strategies available to achieve investment success Explores the process of creating and managing a portfolio Shows readers how to profit like successful value growth index investors Aswath Damodaran is a well-known academic and practitioner in finance who is an expert on different approaches to valuation and investment This vital resource examines various investing philosophies and provides you with helpful online resources and tools to fully investigate each investment philosophy and assess whether it is a philosophy that is appropriate for you.

Download or read book Insider Trading and the Stock Market written by Henry G. Manne and published by . This book was released on 1966 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Information Trading and Product Market Interactions written by Heather Elise Tookes and published by . This book was released on 2003 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Powering the Digital Economy Opportunities and Risks of Artificial Intelligence in Finance written by El Bachir Boukherouaa and published by International Monetary Fund. This book was released on 2021-10-22 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.