Download or read book Models of Information Trading and Volatility for Stock Returns written by Min Zhu and published by . This book was released on 1996 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book 2006 Investment Company Fact Book written by and published by . This book was released on 2006-05-15 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Stocks for the Long Run written by Jeremy J. Siegel and published by McGraw-Hill Companies. This book was released on 1998 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Siegel's conclusion - that, when long-term purchasing power is considered, stocks are actually safer than bank deposits! - is now strengthened with updated research findings and information that include a thorough analysis of the "Dow 10" and other yield-based strategies that have captivated investors over the past several years; how the Baby Boom generation will change the stock market forever - knowledge that can energize your own portfolio's performance; the amazing effect of the calendar on stock market performance - and how investing at certain times of the year can enhance performance; how the newest tax laws impact your investment returns and the funding of your retirement account; analyses and performance comparisons of highly publicized market sectors such as small cap stocks, growth stocks, and the "Nifty Fifty" stocks; and how Wall Street pros use investor sentiment and Fed policy to successfully time stock purchases over the investment cycle."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved

Download or read book Information trading and stock returns written by K. C. Chan and published by . This book was released on 1994 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Information Networks written by Ankur Pareek and published by . This book was released on 2012 with total page 61 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper examines the effect of information networks on the trading behavior of mutual funds and on stock returns. An information or stock ownership linkage between two mutual funds is defined by large positions in the same stock. Mutual funds trade together with other funds in their information network after controlling for the overall trading behavior of the mutual fund sector. The effect is robust and cannot be explained by style investing or geographic location. The paper also examines the effect of the structure of information networks on stock returns and stock volatility. Using network density as a measure for the speed of information diffusion in a network of investors, I find that stocks with a lower network density demonstrate stronger return momentum over medium horizons and also show a delayed response to the market-wide information. The evidence is consistent with the gradual information diffusion model of Hong and Stein (1999). Finally, I provide empirical evidence in support of recent theoretical models that study the asset pricing implications of social networks. I show that centralized information networks lead to a higher volatility of individual stocks in the cross-section and also explain the variation in average stock idiosyncratic volatility over time.

Download or read book Stock Returns and Option Prices A Simulation Analysis written by Martin Georg Haas and published by GRIN Verlag. This book was released on 2021-08-30 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: Seminar paper from the year 2018 in the subject Economics - Finance, grade: 1.0, Zeppelin University Friedrichshafen, course: Advanced Financing, language: English, abstract: This paper is concerned with analyzing the basic determinants of option prices. These are the information derived from the underlying stock, namely the mean and the volatility of its returns. Therefore, this paper aims at answering the question, what influence stock return mean and volatility have on the respective option prices. This can be important to option traders trying to identify the stocks for which to trade options, by providing an understanding for the foundations of the option pricing and the information those prices provide. To isolate these basic determinants from the other influences, described above as structural and institutional factors, a simulation study is conducted. Section 2 will provide the theoretical framework and simulation methodology for the study. Section 3 describes the used dataset and section 4 presents and discusses the results of the simulation.

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 Trade Like a Stock Market Wizard How to Achieve Super Performance in Stocks in Any Market written by Mark Minervini and published by McGraw Hill Professional. This book was released on 2013-04-19 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Minervini has run circles around most PhDs trying to design systems to beat the market." -- JACK SCHWAGER, bestselling author of Stock Market Wizards "Mark's book has to be on every investor's bookshelf. It is about the most comprehensive work I have ever read on investing in growth stocks." -- DAVID RYAN, three-time U.S. Investing Champion "[Minervini is] one of the most highly respected independent traders of our generation. His experience and past history of savvy market calls is legendary." -- CHARLES KIRK, The Kirk Report "One of Wall Street's most remarkable success stories." -- BEN POWER, Your Trading Edge THE INVESTOR'S GUIDE TO SUPERPERFORMANCE! Dramatically increase your stock market returns with the legendary SEPA system! For the first time ever, U.S. Investing Champion Mark Minervini reveals the proven, time-tested trading system he used to achieve triple-digit returns for five consecutive years, averaging 220% per year for a 33,500% compounded total return. In Trade Like a Stock Market Wizard, Minervini unveils his trademarked stock market method SEPA, which provides outsized returns in virtually every market by combining careful risk management, self-analysis, and perseverance. He explains in detail how to select precise entry points and preserve capital—for consistent triple- digit returns. Whether you're just getting started in the stock market or you're a seasoned pro, Minervini will show how you how to achieve SUPERPERFORMANCE! You'll gain valuable knowledge as he shares lessons, trading truths, and specific tactics--all derived from his 30-year career as one of America's most successful stock traders. Trade Like a Stock Market Wizard teaches you: How to find the best stocks before they make big price gains How to avoid costly mistakes made by most investors How to manage losses and protect profits How to avoid high-risk situations Precisely when to buy and when to sell How to buy an IPO Why traditional valuation doesn't work for fast-growing Superperformers Examples of Minervini's personal trades with his comments With more than 160 chart examples and numerous case studies proving the remarkable effectiveness of Minervini's methodology, Trade Like a Stock Market Wizard puts in your hands one of the most effective and--until now--secretive stock investing systems in the world. MARK MINERVINI has a trademarked stock market method that produces outsized returns in virtually every market. It's called Specific Entry Point Analysis--SEPA--and it has been proven effective for selecting precise entry points, preserving capital and profi ts with even more precise exit points--and consistently producing triple-digit returns. Now, in Trade Like a Stock Market Wizard, Minervini shares--for the fi rst time ever--his coveted methodology with investors like you!

Download or read book Stock Returns Trading Volumes and Macroeconomic Information written by Linda H. Zhang and published by . This book was released on 1995 with total page 220 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 Noise Trading Transaction Costs and the Relationship of Stock Returns and Trading Volume written by Mr.Charles Frederick Kramer and published by International Monetary Fund. This book was released on 1994-10-01 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: The relationship of stock returns and trading volume is the focus of much recent interest. I examine an economic model of a rational trader who operates in a market with transactions costs and noise trading. The level of trading affects the rational trader’s marginal cost of transacting; as a result, trading volume is a source of risk. This engenders an equilibrium relationship between returns and volume. The model also provides a simple way to scrutinize this relationship empirically. Empirical evidence supports the implications of the model.

Download or read book The New Stock Market written by Merritt B. Fox and published by Columbia University Press. This book was released on 2019-01-08 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: The U.S. stock market has been transformed over the last twenty-five years. Once a market in which human beings traded at human speeds, it is now an electronic market pervaded by algorithmic trading, conducted at speeds nearing that of light. High-frequency traders participate in a large portion of all transactions, and a significant minority of all trade occurs on alternative trading systems known as “dark pools.” These developments have been widely criticized, but there is no consensus on the best regulatory response to these dramatic changes. The New Stock Market offers a comprehensive new look at how these markets work, how they fail, and how they should be regulated. Merritt B. Fox, Lawrence R. Glosten, and Gabriel V. Rauterberg describe stock markets’ institutions and regulatory architecture. They draw on the informational paradigm of microstructure economics to highlight the crucial role of information asymmetries and adverse selection in explaining market behavior, while examining a wide variety of developments in market practices and participants. The result is a compelling account of the stock market’s regulatory framework, fundamental institutions, and economic dynamics, combined with an assessment of its various controversies. The New Stock Market covers a wide range of issues including the practices of high-frequency traders, insider trading, manipulation, short selling, broker-dealer practices, and trading venue fees and rebates. The book illuminates both the existing regulatory structure of our equity trading markets and how we can improve it.

Download or read book An Empirical Analysis of Stock Returns and Volume written by Rochelle L. Antoniewicz and published by . This book was released on 1992 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Trading Activity Program Trading and the Volatility of Stock Returns written by James T. Moser and published by . This book was released on 1992 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Institutional Trading and Stock Returns written by Fang Cai and published by . This book was released on 2009 with total page 19 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this study, we explore the dynamics of the relation between institutional trading and stock returns. We find that stock returns Granger-cause institutional trading (especially purchases) on a quarterly basis. The robust and significant causality from equity returns to institutional trading can be largely explained by the time-series variation of market returns, that is, institutions buy more popular stocks after market rises. Stock returns appear to be negatively related to lagged institutional trading. An analysis of the behavior of trading and the returns of the traded stocks reveals evidence that stocks with heavy institutional buying (selling) experience positive (negative) excess returns over the previous 12 months.

Download or read book News Trading and Stock Return Volatility written by Volodymyr M. Zdorovtsov and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Existing literature finds that equity return variances over trading periods substantially exceed those over nontrading periods and suggests three potential explanations for the effect: (1) more public information reaches the marketplace during normal business hours; (2) the trading activity of informed investors reveals their private information inducing greater return variance; (3) the process of trading itself introduces noise into stock prices and returns as investors overreact to each other's trades. I offer a direct test of the public information, private information, and noise hypotheses utilizing data on order flow in the after-hours, pre-market, and regular trading sessions along with an extensive dataset of the contemporaneous public information flow for a large sample of Nasdaq securities. Consistent with the findings of prior literature, I show evidence in favor of the private information hypothesis. Contrary to the existing studies, however, my results also support the public information hypothesis.

Download or read book The Value of Social Media for Predicting Stock Returns written by Michael Nofer and published by Springer. This book was released on 2015-04-21 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: Michael Nofer examines whether and to what extent Social Media can be used to predict stock returns. Market-relevant information is available on various platforms on the Internet, which largely consist of user generated content. For instance, emotions can be extracted in order to identify the investors' risk appetite and in turn the willingness to invest in stocks. Discussion forums also provide an opportunity to identify opinions on certain companies. Taking Social Media platforms as examples, the author examines the forecasting quality of user generated content on the Internet.