Characteristics of Price Informative Analyst Forecasts


Book Description

We examine the effect of signal attributes and analyst identity on the price impact of an earnings forecast revision. We measure the price impact immediately upon the release of a forecast, as well as over the next twenty-four months. We find that an analyst's own prior forecast and the consensus forecast at the time of the release are both important in determining the price impact of a revision. Specifically, quot;confirmingquot; signals (revisions that are above (or below) both the prior consensus and the analyst's own prior forecast) have much greater price impact than quot;conflictingquot; signals (revisions that are in between the prior consensus and the analyst?s own prior forecast). We document a substantial post-revision price drift after the release of confirming signals. Upward (downward) confirming revisions are associated with higher (lower) future size-adjusted returns. The predictive power of these confirming revisions is large even after controlling for price momentum, firm size, and the B/M ratio. The main predictive power derives from the direction of the confirming signal. Controlling for the direction of the revision, the magnitude of the revision is unimportant in return prediction.We also examine the relation between analyst identity and price impact. Specifically, we evaluate the incremental price effect associated with revisions issued by Institutional Investor All-Stars, Wall Street Journal Award Winners, and analysts deemed to be more accurate by the Park and Stice (2000) algorithm. We find that the immediate price respond is greater for revisions issued by all the quot;superiorquot; analysts. In the following months, revisions by II-All Stars exhibit weaker price drifts, and revisions by the Park and Stice (2000) analysts exhibit stronger price drifts. However, taken together, signal attributes are more important than analyst identity in the prediction of subsequent stock returns.




Fire Your Stock Analyst!


Book Description

Recent events prove that you can't always trust the so-called experts. This book gives investors the smarts to pick market-beating stocks on their own. Domash goes beyond the basics, and includes never before published advanced analysis strategies.




Financial Analysts and Information Processing on Financial Markets


Book Description

Financial analysts play an ambivalent role on financial markets: On the one hand investors and the media frequently follow their advice, on the other hand they are regularly discredited when their forecasts or recommendations prove to be erroneous. This cumulative thesis explores the informational content of financial analysts’ forecasts for investors by addressing three specific topics: Consensus size as a rudimentary investment signal, the association of analysts’ target prices with business sentiment, and the consistency of analysts’ different investment signals in the context of the 2008 financial crisis. Overall, the thesis provides additional evidence that investors can profit from analysts’ forecasts and recommendations. However, it is also shown that investors need to be very selective about which signal to rely on and in which context to use these because analysts’ investment signals can also be heavily biased and erroneous. About the author: Jan-Philipp Matthewes studied ‘Economics’ at the University of Cologne, Germany, and holds a Dean’s Award from the Faculty of Economics and Social Sciences. His research focus on financial analysts evolved while working in equity research at a leading German bank. The PhD-thesis was supervised by Prof. Dr. Martin Wallmeier, Finance and Accounting, at the University of Fribourg, Switzerland. Since 2013 Jan-Philipp Matthewes is the managing director of the boutique private equity firm ‘Matthewes Capital Invest GmbH’.




Financial Analysts' Forecasts and Stock Recommendations


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.




Analyst Forecast Characteristics and the Cost of Debt


Book Description

We examine the relation between analyst forecast characteristics and the cost of debt financing. Consistent with the view that the information contained in analysts' forecasts is economically significant across asset classes, we find that analyst activity reduces bond yield spreads. We also find that the economic impact of analysts is most pronounced when uncertainty about firm value is highest (i.e., those with high idiosyncratic risk). Our results are robust to controls for the amount of private information in equity prices and the level of corporate disclosures. Overall, our the results indicate that the information contained in analyst forecasts is valued outside the equity market and provide an additional channel in which better information is associated with a lower cost of capital.




Financial Gatekeepers


Book Description

A Brookings Institution Press and Nomura Institute of Capital Markets Research publication Developed country capital markets have devised a set of institutions and actors to help provide investors with timely and accurate information they need to make informed investment decisions. These actors have become known as "financial gatekeepers" and include auditors, financial analysts, and credit rating agencies. Corporate financial reporting scandals in the United States and elsewhere in recent years, however, have called into question the sufficiency of the legal framework governing these gatekeepers. Policymakers have since responded by imposing a series of new obligations, restrictions, and punishments—all with the purpose of strengthening investor confidence in these important actors. Financial Gatekeepers provides an in-depth look at these new frameworks, especially in the United States and Japan. How have they worked? Are further refinements appropriate? These are among the questions addressed in this timely and important volume. Contributors include Leslie Boni (University of New Mexico), Barry Bosworth (Brookings Institution), Tomoo Inoue (Seikei University), Zoe-Vonna Palmrose (University of Southern California), Frank Partnoy (University of San Diego School of Law), George Perry (Brookings Institution), Justin Pettit (UBS), Paul Stevens (Investment Company Institute), Peter Wallison (American Enterprise Institute).




Investor's Library


Book Description

Three outstanding investing guides packed with strategies for reducing costs and improving returns in today’s tough investment environment. Three books packed with wealth-building, cost-cutting help for today’s investors and markets. Don’t pay someone to pick stocks! Do it better yourself, with Harry Domash’s #1 guide to stock analysis! Next, Michael Kahn completely demystifies technical analysis and shows you exactly how to apply it--easily, painlessly, profitably. Then, Marvin Appel helps you use bonds and income-producing equity strategies to meet your income needs without unacceptable risk. Advice you’ll use, from experts you can trust! From world-renowned leaders and experts, including Harry Domash, Michael N. Kahn, and Dr. Marvin Appel.




The Routledge Companion to Accounting, Reporting and Regulation


Book Description

Financial accounting, reporting and regulation is a vast subject area of huge global importance, with interest rising significantly in the light of the ongoing global financial crisis. The authors begin with a broad overview of the subject of accounting, setting the stage for a discussion on the theoretical and practical issues and debates regarding financial reporting, which are expanded on in the second part of the book. This includes how to define the reporting entity, recognition and measurement of the elements of financial statements, fair values in financial reporting and the costs and benefits of disclosure. The third part assesses the interest, need and theories behind the accounting, reporting and regulation industry, while parts four and five look at the institutional, social and economic aspects; with issues such as accounting for environmental management and, accounting regulation and financial reporting in Islamic countries, both issues of ever increasing importance. This authoritative Companion presents a broad overview of the state of these disciplines today, and will provide a comprehensive reference source for students and academics involved in accounting, regulation and reporting.




Advances in Accounting Behavioral Research


Book Description

Advances in Accounting Behavioral Research promotes research across all areas of accounting, incorporating theory from, and contributing knowledge to, the fields of applied psychology, sociology, management science, ethics and economics.




Three Essays on Financial Analysts' Stock Price Forecasts


Book Description

In this thesis, I study three aspects of sell-side analysts' stock price forecasts, henceforth target prices: analyst teams' target price forecast characteristics, analysts' use of information to revise target prices, and determinants of target price disagreement between analysts. The first essay studies the target price forecast performance of team analysts in the UK and finds that teams issue timelier but not less accurate target prices. Unlike evidence from previous studies, my findings suggest that analyst teamwork may improve forecast timeliness without sacrificing forecast accuracy. However, market reactions to team target price revisions are not significantly different from those to individual analyst target price revisions, suggesting that although target prices issued by analyst teams are timelier and not less accurate than those of individual analysts, investors do not consider analyst team target prices more informative. I conjecture that analysts may work in teams to meet the demand to cover more companies while maintaining the quality of research by individual team members rather than to issue more informative reports. In the second essay, I study how analysts revise their target prices in response to new information implicit in recent market returns, stock excess returns and other analysts' target price revisions. The results suggest that analysts' target price revisions are significantly influenced by market returns, stock excess return and other analysts' target price revisions. I also find that the correlation between target price revisions and stock excess returns is significantly higher when the news implicit in these returns is bad rather than good. I conjecture that analysts discover more bad news from the information in stock excess returns because firms tend to withhold bad news, disclosing it only when it becomes inevitable, while they disclose good news early. Using a new measure of bad to good news concentration, I show that the asymmetric responsiveness of target price revisions to positive and negative stock excess returns is significant for firms with the highest concentration of bad news but is insignificant for firms with the lowest concentration of bad news. I argue that firms with the highest concentration of bad news are more likely to withhold and accumulate bad news. The findings, therefore, support my hypothesis that analysts discover more bad news than good news from stock returns because firms tend to withhold bad news, disclosing it only when it is inevitable. The third essay examines the determinants of analyst target price disagreement. I find that while disagreement in short-term earnings and in long-term earnings growth forecasts are significant determinants, recent 12-month idiosyncratic return volatility has the strongest explanatory power for target price disagreement. The findings suggest that target price disagreement is driven not only by analyst disagreement about short-term earnings and long-term earnings growth, but also by differences in analysts' opinions about the impact of recent firm-specific events on value drivers beyond short-term future earnings and long-term growth, which are eventually reflected in past idiosyncratic return volatility.