Measuring the Impact of Corporate Investment Announcements on Share Prices: The Spanish Experience

We bring together three disparate strands of literature to develop a comprehensive empirical framework to examine the efficiency of security analysts' earnings forecasts in Singapore. We focus specifically on how the increased uncertainty and the negative market sentiment during the period of the Asian crisis affected the quality of earnings forecasts. While we find no evidence of inefficiencies in the pre-crisis period, our results suggest that after the onset of the crisis, analysts (1) issued forecasts that were systematically upward biased; (2) did not fully incorporate the (negative) earnings-related news; and (3) predicted earnings changes which proved too extreme.     

The Relevance of Analysts' Earnings Forecasts in Japan

Abstract:   This study examines the role of financial analysts in equity valuation in Japan by comparing the relevance of financial analysts' earnings forecasts, over financial statement information, to investors' decisions. We find that the value‐relevance of a set of accounting variables is very modest, but the incremental contribution of analysts' forecasts is very significant. This is in line with the expectation that the skill and expertise of analysts are more valuable in markets with poor financial disclosure, such as Japan. We also find that the importance of the financial statements increases over time while the importance of the analysts' forecasts does not change. We also provide evidence of the effect of Japanese corporate groupings, keiretsu, on the informativeness of accounting signals and earnings forecasts. The results show that the contribution of accounting variables to valuation is lower for keiretsu firms, which supports the exclusionary hypothesis that companies which are a part of keiretsu, disclose less information than do non‐keiretsu companies. The analysts' forecasts are equally important for investors in both types of firms.     

Analysts' Forecasts and the Broker Relationship

Analysts' ability to forecast earnings per share has been the subject of considerable debate. A concern highlighted in previous research is the agency problem which may arise when analysts have a close working relationship with the firms for which they are providing forecasts. This paper provides evidence that this relationship does not improve the accuracy of the earnings forecasts, but stimulates optimistic forecasts. In addition, the paper examines whether firm size is a factor in forecast accuracy or bias.     

The Value Relevance of Management Forecasts and Their Impact on Analysts' Forecasts: Empirical Evidence From Japan

A major financial disclosure feature in Japan is that stock exchanges require firms to provide next year's earnings forecasts. This study investigates the value relevance of Japanese management earnings forecasts and their impact on analysts' earnings forecasts. First, the value relevance of management forecasts is investigated using a valuation framework provided by Ohlson (2001 ), in which firm value is expressed as a function of book value, current earnings and next year's expected earnings. The analysis yields that of the three accounting variables examined, management forecasts have the highest correlation and incremental explanatory power with stock price.
Next, the impact of management forecasts on analysts' forecasts is examined. The results show that more than 90% of changes in analysts' forecasts are explained by management forecasts alone. Further analysis reveals that the heavy dependence of financial analysts on management forecasts in formulating their own forecasts may partially be attributed to the relatively high accuracy of management forecasts. At the same time, financial analysts also somewhat modify management forecasts when certain financial factors indicate that the credibility of management forecasts is in doubt.
Overall, this study presents empirical evidence that Japanese management forecasts provide useful information for the market and have a significant influence on analysts' forecasts.     

Analysts Earnings Forecasts and the Roles of Earnings and Book Value in Equity Valuation

This study examines the effect of the degree of association between current earnings and expected future earnings on the relative importance of earnings and book value for explaining equity price. Consensus analysts forecasts of one-year-ahead earnings are used to proxy for expected future earnings and are compared to reported current earnings to measure the degree of the association. We find that the value-relevance of current earnings negatively correlates with the extent to which consensus analysts forecasts deviate from current earnings. We also find that the incremental explanatory power of book value for equity price positively correlates with this measure. These results remain robust after controlling for factors known to be affecting the value-relevance of earnings such as negative earnings and the earnings-to-book ratio. Our results also show that this analysts' forecast-based measure of `earnings persistence' dominates historical earnings variance in explaining cross-sectional variations in the value-relevance of earnings and book value.     

Analysts' Rationality and Forecast Bias: Evidence from Sales Forecasts

When optimistic forecasts can improve access to management, rational analysts have incentives to issue optimistically-biased forecasts (Lim, 2001). This paper proposes that the extent of this optimistic forecast bias will depend on the forecast's importance to management. If management attaches less importance to a forecasted measure, analysts should decrease their forecast bias because the expected benefits of issuing optimistic forecasts are less. We examine analysts' earnings and sales forecasts, and predict that analysts' optimistic bias will be greater for earnings than for sales. Results are consistent with our predictions and contribute to the evidence that analysts' forecast bias is rational and intentional.     

Intangible Assets, Information Complexity, and Analysts' Earnings Forecasts

Abstract:   We examine the relation between analysts' earnings forecasts and firms' intangible assets, including technology‐based intangibles, brand names, and recognized intangibles. We predict that high information complexity of intangible assets increases the difficulty for analysts to assimilate information and increases analysts' forecast error of intangibles‐intensive firms. We find a positive association between analysts' forecast error and the firm's intangible intensity that deviates from the industry norm. We also find that analysts' forecast errors are greater for firms with diverse and innovative technologies. In contrast, analysts' forecast errors are smaller for biotech/pharmaceutical and medical equipment firms that are subject to intangibles‐related regulation.     

Fundamental Information and Monetary Policy: The Implications for Earnings and Earnings Forecasts

Building on the work of Lev and Thiagarajan (1993) and Abarbanell and Bushee (1997 and 1998) this paper tests whether market-based information including dividend yield (Fama and French, 1998), firm size (Reinganum, 1981), and the ratio of book value to market value (Fama and French, 1992) add explanatory power to accounting data for predicting future earnings. The paper also tests whether earnings changes and the predictability of those changes are conditioned on monetary policy. It is found that the ratio of book value to market value is significantly related to earnings changes. Analyst forecast accuracy differs depending on monetary policy regime, but this difference is not due to differing interpretation of fundamental signals on financial statements appearing under differing monetary policy regimes. It is also found that there is a significant relation between monetary policy, earnings changes, and the level of signals concerning earnings changes.     

Volatility Spillovers and Contagion During the Asian Crisis: Evidence from Six Southeast Asian Stock Markets

Using a multivariate generalized autoregressive conditional heteroskedasticity (GARCH-M) model, we investigate volatility spillovers in six Southeast Asian stock markets around the time of the 1997 Asian crisis. We focus on interactions with the U.S. market as a world financial market, and with the Japanese market as a regional financial market. We also use bivariate GARCH-M models to examine the behavior of individual markets and their interactions with other markets in the region. All models lend support to the idea of the "Asian contagion," which started in Thailand and rapidly spread to other markets.     

Management of Earnings and Analysts' Forecasts to Achieve Zero and Small Positive Earnings Surprises

Abstract:  This paper corroborates the finding of prior studies that managers avoid reporting earnings lower than analyst forecasts (i.e., negative earnings surprises) and provides new evidence of actions contributing to this phenomenon. Specifically, we provide empirical evidence of both (1) upward management of reported earnings and (2) downward 'management' of analysts' forecasts to achieve zero and small positive earnings surprises. Further analysis of the components of earnings management suggests that both the operating cash flow and discretionary accruals components of earnings are managed.     

On the Use of Intra-Industry Information to Improve Earnings Forecasts

We investigate whether earnings forecasts are improved by earlier earnings disclosures by firms in the same industry. We find improvements for time series forecasts, but not for analysts' forecasts. Considering prior earnings announcements reduces correlations between forecast errors and security price reactions to earnings announcements, even when incorporating these announcements improves forecast accuracy. Our explanation for this anomaly, which is supported by additional analysis, is that intra-industry information facilitates predicting transitory, rather than permanent, earnings components. The question of whether information transfers improve earnings forecasts provides the context for the analysis, but the primary contribution is the documentation of intra-industry information transfers in a setting other than capital markets.     

国外证券分析师盈利预测实证研究综述

在对投资决策、资本成本、公司评估、盈余与股价的关系等进行探讨的文献中，分析师的盈利预测被广泛地用作盈利预期的代理变量，成为理论研究的一项基础。本文对国外证券分析师盈利预测的实证研究文献进行了综述，分析、比较了盈利预测业绩衡量标准、各衡量模型的优劣、乐观偏差、预测修正、意见分歧以及分析师跟进等理论。     

Improving the Precision of Analysts' Earnings Forecasts by Adjusting for Predictable Bias

This research demonstrates that publicly-available information can be used to develop estimates of analysts' optimistic bias in earnings forecasts. These bias estimates can be used to produce more accurate forecasts, resulting in significant reductions of both cross-sectional mean forecast error and error variance. When bias estimates are based on past observations of forecast error alone, however, reductions in mean forecast error are smaller, and forecast precision is unimproved. Further tests provide evidence of a significant association between returns and the bias predictable from contemporaneously-available information, suggesting that predictable bias is only partially discounted by market participants. This study has significant implications for researchers and investors. The pricing of predictable bias in analysts' forecasts may add error toinferences which are based on the association between returns and analyst forecast errors, and knowledge of the market's partial discounting of predictable bias may help investors to make more efficient resource allocations.     

A Simultaneous Equations Analysis of Analysts' Forecast Bias, Analyst Following, and Institutional Ownership

In this paper we use a simultaneous equations model to examine the relationship between analysts' forecasts, analyst following, and institutions' investment decisions. Estimates of our three equation model using US data indicate that higher institutional demand leads to greater optimism among analysts and lower analyst following. At the same time, institutional demand increases with increasing optimism in analysts' forecasts but decreases with analyst following. We also investigate firm characteristics as determinants of analysts' and institutions' decisions. Empirical estimates of the effects of these characteristics indicate that agency‐driven behavioral considerations are significant.     

分析师留学经历与盈利预测质量

基于2005-2015年期间的分析师预测数据,本文研究发现,相对于非留学分析师,具有海外留学经历的分析师的预测准确性更低,通过分组检验发现,上述结果主要存在于分析师的从业初期和分析师与企业高管之间不具有社会关系时。进一步研究发现,分析师留学越早,时间越长,其预测准确性相对越低。另外,当企业公开信息质量较高时,海外留学分析师与非留学分析师在预测准确性上的差异消失。由此可见,在我国关系型社会中,海外留学归国分析师在认知和获取私有信息方面存在相对劣势,其并没有提供更高质量的盈余预测。本文的研究发现丰富了有关分析师预测质量的研究文献,同时也为当前规范和提高企业信息披露质量的制度改革提供了资本市场的经验证据。     

The Relation Between Investor Uncertainty and Market Reactions to Earnings Announcements: Evidence from the Property‐Casualty Insurance Industry in the USA

Abstract:   This paper investigates the relationship between investor uncertainty, gauged by properties of analysts' forecasts, and the stock market response to earnings. We find that uncertainty is best characterized by a comprehensive measure recently proposed by Barron, Kim, Lim and Stevens (1998) , BKLS. The BKLS measure is related to uncertainty‐inducing events, as well as factors that affect the difficulty faced by analysts in forecasting earnings. We conclude that, first, pre‐disclosure uncertainty is a significant determinant of the price reaction to the earnings release, and second, BKLS is a more comprehensive measure of uncertainty than simple dispersion.     

财务分析师盈利预测的投资价值:来自深沪A股市场的证据

本文研究了中国股票市场上财务分析师的盈利预测信息对投资者是否有价值。我们发现,可以利用公开的盈利预测制定可获利的套头交易策略。套头交易的回报率不仅在统计意义上显著大于零,而且在经济意义上也是显著的。这些结果不受不同的检验方法影响,也无法为我们所考虑到的风险因素所解释。本文的发现说明了中国的股票市场尚未达到Fama(1970)意义上的半强式有效,投资者在投资决策时可以利用分析师的盈利预测以提高其投资的回报。此外,本文的结果也有助于回答中国的财务分析师是否具有专业胜任能力这一颇有争议的问题。     

Crisis transmission: Some evidence from the Asian financial crisis

We used a crisis measure of financial market as defined by Sexena (1998) to study the nature of crisis transmission and the channels through which the 1997 crisis was transmitted among Asian financial markets. Estimated with a vector autoregression (VAR) and an OLS model on Asian financial markets from January 1990 to December 1998, we found that:

1.

During the crisis period, crisis transmission was more significant than during other noncrisis periods;

2.

Comparing the crisis transmission within the industrialized countries (Taiwan, Korea, and Japan), within the emerging countries (Thailand, Malaysia, The Philippines, and Indonesia), and between the industrialized and emerging groups, it is shown that

2.1.

The crisis transmission among the three industrialized countries was not significant.

2.2.

The crises originated from Thailand and Malaysia were transmitted to other emerging countries.

2.3.

The crisis transmission between industrialized and emerging countries was not found to be significant. There was evidence showing that Singapore served as an intermediary transmitting crisis between industrialized and emerging countries during this particular crisis.

3.

The transmission through the wake-up call effect was found to be more significant than other transmission channels. Trade relationship and cash-in effects only existed in Korea, Thailand, and Malaysia.

     

Evidence that Analyst Following and Institutional Ownership Accelerate the Pricing of Future Earnings

This paper presents evidence that prices of firms followed by sell-side analysts and favored by institutional investors incorporate future earnings earlier than prices of other firms. We conduct two sets of empirical tests: the first examines coefficients from regressions of returns on lead, contemporaneous, and lag earnings changes; the second compares the timing of monthly abnormal returns from earnings-based zero-investment portfolios. In both sets of tests, the results for analysts and institutions are incremental to each other. In addition, neither the analyst price lead nor the institutional price lead is due to price leads increasing with firm size.     

Asset Allocation and Selectivity of Asian Mutual Funds During Financial Crisis

This paper evaluates the ability of US-based Asian mutual fund managers in coping with the 1997 Asian financial crisis. We find that the actively managed mutual funds under-perform with respect to the market portfolio by 1.71% in average monthly return. Such poor performance is caused by fund managers' relative weakness in country selection as well as in stock picking. Fund managers are also found to be more skillful in picking the correct market when the market is going up than going down. Our results are consistent with the literature that asset allocation in Asian mutual funds is a dominating factor relative to selectivity in explaining fund returns during the financial crisis. In addition, there exists a negative relation between asset allocation ability and selectivity of fund managers.