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Author: Stan Beckers Publisher: ISBN: Category : Languages : en Pages :
Book Description
Forecasting company earnings is a difficult and hazardous task. In an efficient market where analysts learn from past mistakes, there should be no persistent and systematic biases in consensus earnings accuracy. Previous research has already established how some (single) individual-company characteristics systematically influence forecast accuracy. So far, however, the effect on consensus earnings biases of a company's sector and country affiliation combined with a range of other fundamental characteristics has remained largely unexplored. Using data for 1993-2002, this article disentangles and quantifies for a broad universe of European stocks how the number of analysts following a stock, the dispersion of their forecasts, the volatility of earnings, the sector and country classification of the covered company, and its market capitalization influence the accuracy of the consensus earnings forecast.
Author: Stan Beckers Publisher: ISBN: Category : Languages : en Pages :
Book Description
Forecasting company earnings is a difficult and hazardous task. In an efficient market where analysts learn from past mistakes, there should be no persistent and systematic biases in consensus earnings accuracy. Previous research has already established how some (single) individual-company characteristics systematically influence forecast accuracy. So far, however, the effect on consensus earnings biases of a company's sector and country affiliation combined with a range of other fundamental characteristics has remained largely unexplored. Using data for 1993-2002, this article disentangles and quantifies for a broad universe of European stocks how the number of analysts following a stock, the dispersion of their forecasts, the volatility of earnings, the sector and country classification of the covered company, and its market capitalization influence the accuracy of the consensus earnings forecast.
Author: Seung-Woog (Austin) Kwag Publisher: ISBN: Category : Languages : en Pages : 39
Book Description
If either economic incentives or psychological phenomena cause the bias in analysts' forecasts to persist long enough, it would be potentially discoverable and exploitable by investors. quot;Exploitationquot; in this context implies that investors, through examination of historical forecasting performance, can more or less reliably estimate the direction and extent of bias, and impute unbiased estimates for themselves, given analysts' forecasts. The absence of persistence in forecast errors would suggest that analysts' own behavior ultimately quot;self-correctsquot; within a time frame that eliminates the possibility that the patterns could be exploited by investors. We use two look-back methods that capture salient features of analysts' past forecasting behavior to form quintile portfolios that describe the range of analysts' forecasting behavior. Parametric and nonparametric tests are performed to determine whether the two portfolio formation methods provide predictive power with respect to subsequent forecast errors. The findings support a conclusion that analysts' behaviors in both optimistic and pessimistic extremes do not entirely self-correct, leaving open the possibility that investors may find historical forecast errors useful in making inferences about current forecasts.
Author: John Capstaff Publisher: ISBN: Category : Languages : en Pages :
Book Description
This paper examines the accuracy of European analysts' forecasts of corporate earnings. The analysis is based on a large sample of individual forecasts of annual earnings for years ending in 1987 to 1992. The bias and accuracy of the analysts' forecasts in each country are contrasted and the results show that forecasts of Dutch and, to a lesser extent, UK and German firms' earnings are relatively accurate, and that forecasts of Austrian and Scandinavian firms' earnings are particularly poor. An analysis of the full sample and selected country specific sub-samples provide results that are consistent with optimistic forecasting and over- reaction to recent information when making forecasts, that forecasts based on the firm's share price and the market wide price earnings ratio have incremental predictive value beyond that of the analysts' forecasts, and revisions of forecasts made by analysts show a systematic tendency to reduce previously forecasted changes.
Author: Louis Kuo Chi Chan Publisher: ISBN: Category : Econometrics Languages : en Pages : 34
Book Description
Analysts' earnings forecasts are influenced by their desire to win investment banking clients. We hypothesize that the equity bull market of the 1990s, along with the boom in investment banking business, exacerbated analysts' conflict of interest and their incentives to adjust strategically forecasts to avoid earnings disappointments. We document shifts in the distribution of earnings surprises, the market's response to surprises and forecast revisions, and in the predictability of non-negative surprises. Further confirmation is based on subsamples where conflicts of interest are more pronounced, including growth stocks and stocks with consecutive non-negative surprises; however shifts are less notable in international markets
Author: Armen Hovakimian Publisher: ISBN: Category : Languages : en Pages :
Book Description
We examine the spillover effects of the Global Analyst Research Settlement (or Global Settlement) on analysts' earnings forecasts in 40 developed and emerging markets. Prior to the Global Settlement, analysts generally made overly optimistic forecasts, this bias tending to be higher in countries with less investor protection. This forecast bias declined significantly after passage of the Global Settlement, the spillover effect being stronger for countries with lower investor protection. The spillover effect is also stronger for countries with a more significant presence of the analysts of the 12 banks directly involved in the Global Settlement.
Author: Publisher: ISBN: Category : Languages : en Pages :
Book Description
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.
Author: Stan Beckers
Author: Stan Beckers
Author: Seung-Woog (Austin) Kwag
Author: Lawrence D. Brown
Author: Hakan Saraoglu
Author: John Capstaff
Author: Louis Kuo Chi Chan
Author: Takashi Yaekura
Author: Somnath Das (Saudagaran, Shahrokh M.)
Author: Armen Hovakimian
Author: