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Author: Paul J. Irvine
Publisher:
ISBN:
Category :
Languages : en
Pages : 41
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Book Description
Using unique data on brokerage-firm trading volume, I examine whether analysts' earnings forecasts and recommendations generate trading volume for their brokerage firms. I find that analysts' forecasts differing from the consensus forecast generate signif icant brokerage-firm volume in the forecast stocks for two weeks after the forecast release date, consistent with analysts' forecasts affecting their brokers' commission revenue. I find that buy recommendations generate relatively more trading, both buyin g and selling, through the analyst's brokerage firm. I find no evidence that analysts' forecast errors, the difference between forecast earnings and actual earnings, increase brokerage-firm volume. Adding error to their forecasts does not seem to be an ef ficient way for analysts to generate trading. I conclude that analysts are more likely to respond to trading incentives through their recommendations rather than through biasing their forecasts.
Author: Paul J. Irvine
Publisher:
ISBN:
Category :
Languages : en
Pages : 41
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Book Description
Using unique data on brokerage-firm trading volume, I examine whether analysts' earnings forecasts and recommendations generate trading volume for their brokerage firms. I find that analysts' forecasts differing from the consensus forecast generate signif icant brokerage-firm volume in the forecast stocks for two weeks after the forecast release date, consistent with analysts' forecasts affecting their brokers' commission revenue. I find that buy recommendations generate relatively more trading, both buyin g and selling, through the analyst's brokerage firm. I find no evidence that analysts' forecast errors, the difference between forecast earnings and actual earnings, increase brokerage-firm volume. Adding error to their forecasts does not seem to be an ef ficient way for analysts to generate trading. I conclude that analysts are more likely to respond to trading incentives through their recommendations rather than through biasing their forecasts.
Author: Patricia C. O'Brien
Publisher: Forgotten Books
ISBN: 9780666405524
Category : Mathematics
Languages : en
Pages : 74
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Book Description
Excerpt from Analysts' Forecasts as Earnings Expectations Analysts' forecasts of earnings are increasingly used in accounting and finance research as expectations data, to proxy for the unobservable market expectation of a future 'realization. 'since a diverse set of forecasts is available at any time for a given firm's earnings. Composites are used to distill the information from the diverse set into a single expectation. This paper considers the relative merits of several composite forecasts as expectations data. One of the primary results is that the most current forecast available outperforms more commonly used aggregations such as the mean or the median. Mthis result is consistent-with forecasters incorporating information from others' previous predictions into their own. It also suggests that the forecast date, which previous research has largely ignored, is a characteristic relevant for distinguishing better forecasts. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
Author: Boris Groysberg
Publisher: Stanford University Press
ISBN: 0804787123
Category : Business & Economics
Languages : en
Pages : 200
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Book Description
Wall Street Research: Past, Present, and Future provides a timely account of the dramatic evolution of Wall Street research, examining its rise, fall, and reemergence. Despite regulatory, technological, and global forces that have transformed equity research in the last ten years, the industry has proven to be remarkably resilient and consistent. Boris Groysberg and Paul M. Healy get to the heart of Wall Street research—the analysts engaged in the process—and demonstrate how the analysts' roles have evolved, what drives their performance today, and how they stack up against their buy-side counterparts. The book unpacks key trends and describes how different firms have coped with shifting pressures. It concludes with an assessment of where equity research is headed in emerging markets, drawing conclusions about this often overlooked corner of Wall Street and the industry's future challenges.
Author: PATRICIA C. O'BRIEN
Publisher:
ISBN:
Category :
Languages : en
Pages : 44
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Book Description
Author: Jason Lee
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
The first author is at Concordia University, Montreal, Quebec and The Hong Kong Polytechnic University. The second author is at McMaster University, Hamilton, Ontario and The Hong Kong Polytechnic University. The third author is at Concordia University. They have received very helpful comments from the anonymous referee, Richard Chung, George Kanaan, and participants of the Winter 1994 Ph.D. Seminar of Financial Reporting and Capital Markets and Faculty Workshop at Concordia University. They are grateful to the Certified General Accountants-Canada Research Foundation for financial support. The first author also acknowledges financial support from Deloitte & Touche/CAAA Research Programme while he was involved in this project. They would also like to thank Sun H. Kim and Waldy Goleszny for their research assistance. Analysts' EPS forecast data were provided by the Institutional Brokers Estimation System (I/B/E/S) of I/B/E/S Inc. as part of a broad academic program to encourage earnings expectations research. The usual disclaimer applies.
Author: Jeffery S. Abarbanell
Publisher:
ISBN:
Category : Investment analysis
Languages : en
Pages : 56
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Book Description
Author: Sundaresh Ramnath
Publisher: Now Publishers Inc
ISBN: 1601981627
Category : Business & Economics
Languages : en
Pages : 125
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Book Description
Financial Analysts' Forecasts and Stock Recommendations reviews research related to the role of financial analysts in the allocation of resources in capital markets. The authors provide an organized look at the literature, with particular attention to important questions that remain open for further research. They focus research related to analysts' decision processes and the usefulness of their forecasts and stock recommendations. Some of the major surveys were published in the early 1990's and since then no less than 250 papers related to financial analysts have appeared in the nine major research journals that we used to launch our review of the literature. The research has evolved from descriptions of the statistical properties of analysts' forecasts to investigations of the incentives and decision processes that give rise to those properties. However, in spite of this broader focus, much of analysts' decision processes and the market's mechanism of drawing a useful consensus from the combination of individual analysts' decisions remain hidden in a black box. What do we know about the relevant valuation metrics and the mechanism by which analysts and investors translate forecasts into present equity values? What do we know about the heuristics relied upon by analysts and the market and the appropriateness of their use? Financial Analysts' Forecasts and Stock Recommendations examines these and other questions and concludes by highlighting area for future research.
Author: Stephen T. McClellan
Publisher: FT Press
ISBN: 0132703424
Category : Business & Economics
Languages : en
Pages : 234
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Book Description
“I am going to initiate coverage on this book: BUY! The title perfectly encompasses the theme of the book. Stephen McClellan, a Wall Street analyst for 32 years, highlights common practices of research analysts and what they mean for individual investors. This is a quick read, filled with anecdotes from Stephen's long career and his sound investment advice. "Full of Bull" does not contain get rich quick schemes or any unique trading strategies, just observations from one of the industries greatest analysts.” --Wall Street Reporter "Only Stephen McClellan could have written this book. As a senior statesman of industry analysts, Steve has worked in the inner circles of Wall Street for over thirty years. When Steve talks, everyone in the industry listens. This book is like a college extension course for investors, and it's taught by the Dean." –H. Ross Perot, Sr., Founder, Electronic Data Systems, Founder, Former Chairman, Perot Systems "Steve McClellan has drawn on an insider's lifetime view of how Wall Street really works to produce a practical and entertaining book of advice for investors. Whether you are a new or experienced investor you'll get something valuable out of it, including more than a few chuckles." –Charles O. Rossotti, Former Commissioner, Internal Revenue Service "Steve McClellan's Full of Bull provides a long overdue insight into the confusing maze of Wall Street analysis and stock recommendations. This book exposes The Street's "insider code" and provides both a cautionary tale and an indispensable guide into the Byzantine world of investment analysis." –Thomas M. Siebel, Founder, Siebel Systems, Chairman, First Virtual Group "Steve McClellan is one of the smartest guys in the investment industry. For years his research helped investors figure out how to get better returns. Now he's collected a career's worth of observations and conclusions about how Wall Street works and how to avoid the mistakes that cost ordinary people millions–no, billions–of dollars everyday. Read this book and have more money for your retirement.'' –Doron Levin, Columnist, Bloomberg News "Today the typical share is held much less than a year, usually by an institution, speculator, or insider whose gains are at the expense of the under-informed or mis-informed individual investor. Securities analysts are of little help. With his 30+ years of relevant experience, Steve McClellan tells you why and how to better protect yourself if you're an individual investor." –Josh W. Weston, Former Chairman, Automatic Data Processing Buy! Outperform! Hold! What are stock analysts really saying? How do you read between the lines, decipher their insider code, put their research in context, and use it to actually make money? Read Stephen McClellan’s Full of Bull and find out. For decades, McClellan was one of the Street’s leading analysts. He knows exactly how the game is played. Now, for the first time, he reveals the Street’s secrets and misleading signals, putting you on a level playing field with the world’s biggest institutional investors. Discover how to do what Wall Street does, not what it says...uncover analysts’ hidden influences, biases, and blind spots...react appropriately to upgrades, downgrades, and price targets...decide which research to ignore completely...bring a clear eye to company announcements...avoid the disastrous mistakes individual investors make when they use analyst research. Drawing on his immense experience analyzing top companies, McClellan shows how to do your own research, systematically evaluate a company’s prospects, and choose investments based on core principles that work. Forthright and bold, Full of Bull offers objective, focused guidance you should be getting from your broker...but aren’t! Decode the Street’s hidden signals and misconceptions Filter out the noise, find the truth, and profit from it When “hold” really means “sell right now!” Cautionary tales, powerful lessons Where to find the Street’s best research... And how to avoid the worst The real keys to a quality investment More than 40 principles, strategies, and practices that work
Author: Andrew W. Alford
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
We use a simultaneous equations model to study forecast accuracy, analyst following, and trading volume. Forecast accuracy and analyst following are determined simultaneously, with greater accuracy associated with higher following. This result supports the idea that an analyst?s private information complements, rather than substitutes for, factors that increase certainty about the firm?s prospects. Stocks generating more trading volume (and thus greater brokerage commissions) have higher analyst following. Given the simultaneity we document between accuracy and following, stocks that generate greater brokerage commissions not only directly induce higher analyst following but also indirectly enhance the accuracy of earnings forecasts about their firms. Finally, special items and a broad accounting-based signal of change impair analysts? ability to predict future earnings. The negative effect of special items on accuracy is consistent with concerns raised by standard setters that unusual events impair investors? ability to interpret future earnings.
Author: Sebastian Gell
Publisher: Springer Science & Business Media
ISBN: 3834939374
Category : Business & Economics
Languages : en
Pages : 144
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Book Description
Earnings forecasts are ubiquitous in today’s financial markets. They are essential indicators of future firm performance and a starting point for firm valuation. Extremely inaccurate and overoptimistic forecasts during the most recent financial crisis have raised serious doubts regarding the reliability of such forecasts. This thesis therefore investigates new determinants of forecast errors and accuracy. In addition, new determinants of forecast revisions are examined. More specifically, the thesis answers the following questions: 1) How do analyst incentives lead to forecast errors? 2) How do changes in analyst incentives lead to forecast revisions?, and 3) What factors drive differences in forecast accuracy?
