Download or read book Financial Analysts Forecasts and Stock Recommendations written by Sundaresh Ramnath and published by Now Publishers Inc. This book was released on 2008 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Financial Analyst Earnings Forecast Revisions written by Jee In Jang and published by . This book was released on 1989 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Essays on Financial Analysts Forecasts written by Marius del Giudice Rodriguez and published by . This book was released on 2006 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation contains three self-contained chapters dealing with specific aspects of financial analysts' earnings forecasts. After recent accounting scandals, much attention has turned to the incentives present in the career of professional financial analysts. The literature points to several reasons why financial analysts behave overoptimistically when providing their predictions. In particular, analysts may wish to maintain good relations with firm management, to please the underwriters and brokerage houses at which they are employed, and to broaden career choice. While the literature has focused more on analysts' strategic behavior in these situations, less attention has been paid to the implications these factors have on financial analysts' loss functions. The loss function dictates the criteria that analysts use in order to build their forecasts. Using a simple compensation scheme in which the sign of prediction errors affect their incomes differently, in the first chapter we examine the implications this has on their loss function. We show that depending on the contract offered, analysts have a strict preference for under-prediction or over-prediction and the size of this asymmetric behavior depends on the parameter that governs the financial analyst's preferences over wealth. This is turn affects the bias in their forecasts. Recent developments in the forecasting literature allow for the estimation of asymmetry parameters after observing data on forecasts. Moreover, they allow for a more general test of rationality once asymmetries are present. We make use of forecast data from financial analysts, provided by I/B/E/S, and present evidence of asymmetries and weak evidence against rationality. In the second chapter we study the evolution over time in the revisions to financial analysts' earnings estimates for the 30 Dow Jones firms over a 20 year period. If analysts' forecasts used information efficiently, earnings revisions should not be predictable. However, we find strong evidence that earnings revisions can in fact be predicted by means of the sign of the last revision or by using publicly available information such as short interest rates and past revisions. We propose a three-state model that accounts for the very different magnitude and persistence of positive, negative and `no change' revisions and find that this model forecasts earnings revisions significantly better than an autoregressive model. We also find that our forecasts of earnings revisions predict the actual earnings figure beyond the information contained in analysts' earnings estimates. Finally, the empirical literature on financial analysts' forecast revisions of corporate earnings has focused on past stock returns as the key determinant. The effects of macroeconomic information on forecast revisions is widely discussed, yet rarely tested in the literature. In the third chapter, we use dynamic factor analysis for large data sets to summarize a large cross-section of macroeconomic variables. The estimated factors are used as predictors of the average analyst's forecast revisions for different sectors of the economy. Our analysis suggests that factors extracted from macroeconomic variables do, indeed, improve on the current model with only past stock returns. In trying to explain what drives financial analysts' forecast revisions, the factors representing the macroeconomic environment must be considered to avoid a potential omitted variable problem. Moreover, the explanatory power and direction of such factors strongly depend on the industry in question.

Download or read book Financial Analyst Stock Recommendations and Earnings Forecast Revisions written by Stanimir Markov and published by . This book was released on 2001 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Security Analyst Multi year Earnings Forecasts and the Capital Market written by Philip Brown and published by . This book was released on 1985 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book On the Properties of Financial Analyst Earnings Forecasts Some New Evidence written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The importance of information in the formation process of security prices has a long history. The dissemination of information can take on different forms depending on the legal constraints. However, in all developed financial markets, financial analysts play a prominent role in collecting, analysing and diffusing information. Financial analysts typically supply future earnings estimates and stock picking advices in the form of recommendations. Earnings estimates are the essential part of security valuation by analysts and investors. They have even become an integral part of financial reporting in the financial press. Early research has accumulated evidence that these estimates are optimistically biased. More recently, empirical studies have found that analysts' optimistic bias is lessening, that its extent differs across analysts, firm characteristics and countries. Broadly speaking, this dissertation investigates the determinants of financial analyst forecasts bias. In the first essay, I examine the relative accuracy of European financial analysts' earnings forecasts and its determinants. I show that the results obtained for US analysts can not be generalised to European analysts who face a seemingly different job market as well as several different institutional and economic environments. In the second essay, I investigate the influence of financial analysts' location on their performance. More precisely, I examine the relative performance of local versus foreign analysts on Latin American stock markets. I find foreign analysts to be more timely and more accurate than their local counterparts. In addition, I document stronger price reactions after foreign analysts' forecast revisions than after those of local analysts. The third essay is related to the declining pattern of financial analyst forecast bias. In particular, I investigate whether US CEOs compensation arrangements give CEOs incentives to manipulate analysts' expectations downward in order to release ea.

Download or read book Determinants of Earnings Forecast Error Earnings Forecast Revision and Earnings Forecast Accuracy written by Sebastian Gell and published by Springer Science & Business Media. This book was released on 2012-03-26 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: ​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?

Download or read book Company Valuation and Information in Analyst Forecasts written by Daniel Kreutzmann and published by Logos Verlag Berlin GmbH. This book was released on 2010 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis focuses on the three primitive value drivers of each company valuation model that is based on fundamental analysis: the discount rate, the expected future payoffs during the explicit forecasting period, and the terminal value at the end of the explicit forecasting period. While the first factor is analyzed theoretically by incorporating the government into the classical valuation framework, this thesis studies the other two factors by investigating forecasts made by professional investors, i.e. financial analysts. In the first part we show that the government's and the shareholders discount rate usually differ and analyze how the government's and shareholders different objectives lead to conflicts in the context of capital budgeting. The empirical part of this thesis shows that macroeconomic information is frequently used by financial analysts when updating their earnings expecations and that target price forecastsmade by financial analysts can be used to predict abnormal returns.

Download or read book Handbook Of Financial Econometrics Mathematics Statistics And Machine Learning In 4 Volumes written by Cheng Few Lee and published by World Scientific. This book was released on 2020-07-30 with total page 5053 pages. Available in PDF, EPUB and Kindle. Book excerpt: This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.

Download or read book Horizon Dependent Underreaction in Financial Analysts Earnings Forecasts written by Jana Smith Raedy and published by . This book was released on 2012 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper provides empirical evidence that underreaction in financial analysts' earnings forecasts increases with the forecast horizon, and the paper offers a rational economic explanation for this result. The empirical portion of the paper evaluates analysts' responses to earnings-surprise and other earnings-related information. Our empirical evidence suggests that analysts' earnings forecasts underreact to both types of information, and the underreaction increases with the forecast horizon. The paper also develops a theoretical model that explains this horizon-dependent analyst underreaction as a rational response to an asymmetric loss function. The model assumes that, for a given level of inaccuracy, analysts' reputations suffer more (less) when subsequent information causes a revision in investor expectations in the opposite (same) direction as the analyst's prior earnings forecast revision. Given this asymmetric loss function, underreaction increases with the risk of subsequent disconfirming information and with the disproportionate cost associated with revision reversal. Assuming that market frictions prevent prices from immediately unraveling these analyst underreaction tactics, investors buying (selling) stock based on analysts' positive (negative) earnings forecast revisions also benefit from analyst underreaction. Therefore, the asymmetric cost of forecast inaccuracy could arise from rational investor incentives consistent with a preference for analyst underreaction. Our incentives-based explanation for underreaction provides an alternative to psychology-based explanations and suggests avenues for further research.

Download or read book The Magnitude and Timing of Analyst Forecast Response to Quarterly Earnings Announcements written by Lise Newman Graham and published by . This book was released on 1993 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Financial Analysts Heterogeneous Earnings Expectations and Their Stock Recommendations written by Steven Lustgarten and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In this study we test whether financial analysts' use their earnings forecasts to make stock recommendations. We hypothesize that if analysts use earnings forecasts as a basis for stock recommendations, the likelihood of a buy (sell) recommendation ought to increase (decrease) when the analyst's earnings forecast becomes more optimistic (pessimistic) relative to the market's expectation. The data supports this hypothesis. We also test the extent to which analysts' stock recommendations are based on public and/or on private earnings information. Private information is measured as the difference between the analysts own earnings forecast and the consensus forecasts of other analysts. Public information is measured as the difference between the consensus forecast and the random walk forecast. Our data show that stock recommendations are related to both private and public earnings information, private information is more important. We also find that the relationship between recommendations and forecasts is stronger where earnings are more value relevant. Factors such as higher earnings persistence and growth opportunities, lower market risk and larger firm size make stock recommendations more responsive to earnings forecasts. Stock recommendations are related to forecasted earnings surprises even when the forecast revision is held constant.

Download or read book Firm specific Information Environment and Analyst Forecast written by Wei Hsu (Ph.D.) and published by . This book was released on 2019 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: I examine how firm-specific private and public information affect analyst forecast revisions. I find that when managers easily beat (struggle to meet) the consensus forecasts in the previous quarter, financial analysts revise their earnings forecasts upward (downward). The revision magnitudes are higher when there is more private information. Similarly, I find that when managers provide upward (downward) earnings guidance, analysts revise their forecasts upward (downward) more when there is more private information. In contrast, the revision magnitudes are lower when there is more public information. Additionally, I find that the magnitudes of analysts' downward revisions increase with private information prior to the stock option grant dates. I attribute these results to the analysts' dependence on managers in gleaning relevant private information. The effect of private information is smaller for firms covered by star analysts, consistent with star analysts acting as sophisticated skeptics and being more confident in their forecasts than other analysts. Further, for well-governed firms, upward revisions for positive earnings surprises are smaller when there is more private information. This is consistent with stronger governance attenuating analysts' concerns about firms' earnings quality, which in turn increases their reliance on public earnings numbers and reduces their need to accommodate managers for private information. Finally, I find that private information is negatively associated with target price forecast accuracy, and positively associated with target price forecast optimism. These results suggest that greater information asymmetry adversely affects forecast accuracy and creates incentives for analysts to appease managers to access private information.

Download or read book Earnings Related Information Transfers and Revisions in Earnings Expectations written by Sundaresh Ramnath and published by . This book was released on 1997 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper examines the revisions in earnings expectations for non-announcing firms following the earnings announcements of related firms. Specifically, using quarterly earnings data I examine whether such revisions are predictable based on the information released by the announcing firm. Results of the study indicate that the correlation in forecast errors of announcing and non- announcing firms from previous quarters can be used to predict the revisions in earnings expectations of financial analysts and investors around the earnings announcement dates of related firms. Consistent with prior research documenting analyst under-reaction to publicly available information, I also find that analysts' forecast revisions that follow the early announcements do not seem to completely incorporate earnings-related information available from early-announcers in the group. An additional finding is that grouping firms based on patterns in analyst following yields more homogenous sets of firms than classifications based on four-digit SIC codes.

Download or read book Information content of analysts composite forecast revisions written by Eugene A. Imhoff, Jr. and Gerald J. Lobo and published by . This book was released on 1983 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Relative Impact of Financial Analyst Forecast Revisions on Security Prices written by Elizabeth A. Strock and published by . This book was released on 1986 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Interdependent Use of Earnings and Dividends in Financial Analysts Earnings Forecasts written by Kirsten Ely and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper examines how analysts combine earnings and dividend information when they predict future earnings. Because both earnings and dividends are noisy indications of future earnings, we posit that analysts use the two corroboratively, to confirm the information reflected in each, and that analysts will substitute away from earnings when it is noisy and toward dividends. Using regressions of analysts' earnings forecast revisions on unexpected earnings, unexpected dividends, and five variables that reflect whether the signs of unexpected earnings and dividends confirm or contradict each other, we find evidence of both corroboration and substitution. Analysts' earnings forecast revisions are significantly related to the five corroborative variables, and this relation has statistically significant explanatory power beyond that in the magnitudes of unexpected earnings and unexpected dividends. Consistent with expectations, we find that the evidence of corroboration varies across the noisiness of earnings information; there is more evidence of corroboration when earnings are more variable. We also find evidence consistent with analysts substituting away from earnings, toward dividend information for firms with noisy earnings information (high variance). Overall, the results imply that analysts use earnings and dividends information interdependently, with some interdependency determined by the noisiness of earning announcements.