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Three Essays on Financial Analysts' Stock Price Forecasts

Three Essays on Financial Analysts' Stock Price Forecasts
Author: Quoc Tuan Quoc Ho
Publisher:
Total Pages:
Release: 2013
Genre:
ISBN:

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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.


Essays on Financial Analysts' Forecasts

Essays on Financial Analysts' Forecasts
Author: Marius del Giudice Rodriguez
Publisher:
Total Pages: 132
Release: 2006
Genre: Corporate profits
ISBN:

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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.


3 ESSAYS ON EQUITY ANALYSTS AG

3 ESSAYS ON EQUITY ANALYSTS AG
Author: Zhelei Li
Publisher: Open Dissertation Press
Total Pages: 160
Release: 2017-01-26
Genre: Business & Economics
ISBN: 9781360996530

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This dissertation, "Three Essays on Equity Analysts' Agent Role and Investor Inattention" by Zhelei, Li, 李哲磊, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: This thesis includes two essays on equity analysts' agent role and one essay on investors' inattention to good news. From a broader economic perspective, equity analysts are essentially agents acting on behalf of multiple principals including their employers, investors and issuers (Fisch & Sale, 2003). Classic agency theory predicts that analysts selectively provide coverage and report their expectations. In the first essay, I examine empirically if incremental investment value can be uncovered from analysts' choices between silence and speech, measured as the level of analyst reporting not explained by size or turnover. I find that "silence" negatively, and "speech" positively predicts future stock returns. More importantly, as "speech is silver, silence is golden," the observed price shift is mainly driven by silence, providing evidence that analysts' inaction can impede price discovery process. This is consistent with the claims that analysts' expectations are based on valid information, that analyst self-selection is pervasive due to the principal-agent conflicts, and that the loss of information with analyst silence has resulted in some mis-valuation which can be viewed as a form of classic agency cost. The second essay tests if analysts are systematically less forthcoming in reporting bad earnings news when the principal-agent conflicts are exacerbated. I find that analysts' downward consensus earnings forecast revisions are less informative than their upward revisions; that less is more when analysts report bad news - extreme downward revisions contain little incremental information beyond momentum compared with moderate downward revisions; and that the differential richness of information in good and bad news revisions is more pronounced among bigger, more heavily covered stocks and stocks with higher institutional holdings, namely, stocks that are typically more prone to the analyst agency problem. Thus the loss of information in bad news revisions and extreme bad news revisions' lagging behind price action can be viewed as another form of agency cost. In the third essay, I investigate how negativity bias in information processing affects the positive-negative-asymmetry in the stock price continuation phenomenon. Psychology literature document that negative stimuli elicit more attention and negative information is generally processed more thoroughly and is weighed more heavily in impression formation, memory, learning and decision making than positive information (Baumeister, Bratslavsky, Finkenauer, & Vohs, 2001; Rozin & Royzman, 2001). Insofar as people are cognitive misers, all else being equal, investors tend to pay less attention to good news than to bad news. Using earnings announcement as the information shock, I document evidences that investors incorporate bad earnings news to fuller extent than they do with good earnings news. Furthermore, given that psychological biases are typically increased when there is more uncertainty (Hirshleifer, 2001) and ambiguity or uncertainty is often associated with higher risk and the possibility of hostile manipulation, I also find more pronounced asymmetry in post announcement drift when information uncertainty is greater. DOI: 10.5353/th_b5066225 Subjects: Investment analysis Stocks - Psychological aspects