业绩预告披露与盈余管理研究

盈余管理存在的根本原因在于投资者与管理层之间的信息不对称。业绩预告作为上市公司未来经营成果、财务状况与现金流量的预测,在很大程度上会影响投资者对上市公司的评估及其投资决策。从业绩预告披露的特征方面出发,研究业绩预告披露与盈余管理之间的关系,包括业绩预告的性质、预告精确度、预告误差分别与盈余管理程度的关系,结果发现：发布业绩预告的公司,盈余管理水平更高。预告精确度以及预告期间与预测当期盈余管理水平正相关,预测误差与盈余管理水平负相关。当消息类型不同的时候,预测的强制性与否以及＂变脸＂对盈余管理水平的影响不同。结论支持了上市公司财务报告迎合业绩预告披露的说法。     

Tests of Market Reaction and Analysts' Forecast Revisions to the Disclosure of Improved Management Earnings Expectations: A Case of Concurrent Bad News Management Earnings Forecasts

This paper tests whether a negative stock market reaction, associated with a management forecast of near term bad earnings, is lessened by a concurrent management forecast of improved longer term earnings expectations. Stock market reactions depend on the creditability of management forecasts of improved earnings expectations. In this analysis, the authors examined market reactions around the time of management forecasts of bad earnings, with and without longer-term management forecasts of improved earnings expectations. The results show that the stock market reaction is significantly less negative when management forecasts of bad earnings are followed by management forecasts of improved long run earnings expectations than when management forecasts of bad earnings are not accompanied by management forecasts of improved earnings expectations. In addition, this paper examines financial analysts' reactions to management bad earnings forecasts and management forecasts of improved earnings expectations. The findings show that analysts react less negatively to management forecasts of improved earnings expectations than to management forecasts of bad earnings. An analysis of a sub-sample of observations shows that analysts consider management forecasts of improved earnings expectations to imply improved expected future performance, thus conveying that analysts give credence to management forecasts of improved earnings expectations. However, results show that the stock market and analysts are unable to distinguish management forecasts of improved earnings expectations that come true from management forecasts of improved earning expectations that do not come true.     

Earnings Surprises in Analysts' Forecasts,Mandatory Disclosure,and Share Repurchases

This paper examines the impact of forecast errors and the mandatory disclosure of repurchase transactions required by 2003 Securities and Exchange Commission (SEC) regulations on share repurchases. We define forecast errors as the difference between analysts' forecasted earnings and actual earnings. We argue that firms with positive forecast errors imply greater information asymmetry, which may induce them to signal through share repurchases. We show that both the repurchase target and analysts' forecast revision are positively related to forecast errors. Furthermore, these associations are more pronounced in the low disclosure period (1989–2003) where greater information asymmetry between managers and outside investors is found, while increased transparency in the high disclosure period (2004–2006) leads to more significant improvement in long‐term performances for firms with positive forecast errors. The results are consistent with our expectations that the information asymmetry implied in forecast errors, along with a shock change from the introduction of the 2003 SEC regulation, affect both corporate and analysts' behaviour.     

Management Earnings Forecasts,Earnings Announcements,and Institutional Trading in China

Abstract:

In this study, we investigate the trading behavior of institutional investors in China according to management earnings forecasts (MEFs) and earnings announcements (EAs). MEFs are mandatory under the stringent regulatory framework in China. We find evidence that both MEFs and EAs have an effect on the market. However, MEFs have a bigger effect on the market than do EAs. According to a sample of semiannual observations of firms from 2003 to 2008, we find that changes in the stock ownership of institutions are positively associated with EAs but not significantly associated with MEFs. When we further examine the relations between institutional characteristics and trading strategies, we find that growth funds exploit the arbitrage opportunity of MEFs.     

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.     

Financial Analysts' Earnings Forecast Dispersion and Intraday Stock Price Variability Around Quarterly Earnings Announcements

This study investigates the relationship between the dispersion of analysts' earnings forecasts and stock price variability around quarterly earnings announcements. Consistent with theoretical predictions, the empirical analysis shows that stock price variability at the time of earnings announcements is positively related to the degree of analysts' predisclosure earnings forecast dispersion. Additionally, firms with high levels of forecast dispersion exhibit significant increases in price variability for longer periods prior to and following earnings announcements than do firms with low levels of forecast dispersion. These results suggest that there is information about the earnings announcement that becomes available to at least a subset of investors prior to the earnings release and that market participants take different amounts of time to process the information conveyed by the earnings announcement.     

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.     

Forecasts in IPO Prospectuses: The Effect of Corporate Governance on Earnings Management

Prior research suggests that managers may use earnings management to meet voluntary earnings forecasts. We document the extent of earnings management undertaken within Canadian Initial Public Offerings (IPOs) and study the extent to which companies with better corporate governance systems are less likely to use earnings management to achieve their earnings forecasts. In addition, we test other factors that differentiate forecasting from non‐forecasting firms, and assess the impact of forecasting and corporate governance on future cash flow prediction. We find that firms with better corporate governance are less likely to include a voluntary earnings forecast in their IPO prospectus. In addition, we find that while IPO firms use accruals management to meet forecasts; the informativeness of the discretionary accruals depends on whether or not the firm would have missed its forecast without the use of discretionary accruals.     

Business Cycle and Management Earnings Forecasts

This study examines the effects of the economic cycle on the properties of management earnings forecasts. Although a large volume of accounting literature examines the determinants of managerial earnings forecasts, the properties of such forecasts, and the response of market participants to earnings forecasts (Cameron 1986; King et al., 1990; Hirst et al., 2008), research on management earnings forecasting incentivized by macro‐economic factors has received scant empirical investigation. We use the National Bureau of Economic Research economic cycle definition to operationalize economic recession, and consider some commonly used management earnings forecast characteristics, including forecast likelihood, forecast frequency, forecast error, forecast pessimism, and forecast precision. We find that the likelihood of providing management earnings forecasts and frequency of forecasts increases during economic recession. We also find that economic recession is positively associated with forecast error, but negatively associated with forecast precision. Our findings suggest macro‐economic factors as an important determinant of management earnings forecasts properties.     

An Empirical Analysis of Qualitative Management Earnings Forecasts

Despite efforts by the Securities and Exchange Commission (SEC) to encourage corporate disclosure of quantitative management earnings projections, only a small fraction of firms voluntarily do so. Instead of quantitative estimates, a large number of firms choose to disclose qualitative (verbal) assessments of their earnings prospects. This paper is a study of the information characteristics and the usefulness of this alternative form of forecast disclosure to investors. The study examines a sample of qualitative forecast statements from the 1979–1985 period and finds associations between these forecasts and percentage changes in realized earnings per share, the direction of financial analysts' forecast revisions following the disclosure of these forecasts, and abnormal stock returns on the date of their disclosure. These associations are, however, shown to be more significant for negative (bad news) than for positive (good news) forecasts.     

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.     

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.     

Accruals Management to Achieve Earnings Benchmarks: A Comparison of Pre-managed Profit and Loss Firms

Abstract:  This study examines whether firms with profits before accruals management are more likely than firms with losses before accruals management to meet or exceed earnings benchmarks when pre-managed earnings are below those benchmarks. We extend Brown (2001) by documenting that the differential propensity to achieve earnings benchmarks by profitable and nonprofitable firms results from differential accruals management behavior. We find that firms with profits before accruals management are more likely than firms with losses before accruals management to have pre-managed earnings below both analysts' forecasts and prior period earnings and reported earnings above these benchmarks.     

The Quality of Analysts' Earnings Forecasts During the Asian Crisis: Evidence from Singapore

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 Implications of Dispersion in Analysts' Earnings Forecasts for Future ROE and Future Returns

Dispersion in analysts' forecasts is empirically evaluated by associating dispersion with a firm's future accounting rate of return-on-equity (ROE) and future returns. Forecast dispersion is significantly and negatively associated with future ROE, consistent with the notion that firm disclosures and analysts' information acquisition efforts increase as firm prospects improve. Forecast dispersion is negatively associated with future returns. This appears due to the implications of dispersion for future ROE, and suggests that the market does not immediately assimilate the information contained in forecast dispersion. Dispersion also conveys information about firm-specific risk not captured by beta and firm size.     

Rational Expectations and Security Analysts' Earnings Forecasts

This paper investigates the rationality of security analysts' forecasts. The forecasts of analysts participating in Lynch, Jones, and Ryan's Institutional Brokers Estimate System (I/BE/S) data base are evaluated relative to past values of their own forecast errors, past values of forecasted earnings per share, and quarterly percentage changes in publicly available macroeconomic and financial time series. The publicly available series include the consumer price index, unemployment rate, oil prices, stock prices, gross national product, and corporate profits. The authors conduct a generalized orthogonality test and include only information available to analysts at the time the forecasts are made. The empirical results reject analyst forecast rationality, but not without exception.     

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。     

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.     

Earnings Management Constraints and Classification Shifting

Prior literature has investigated three forms of earnings management: real earnings management (REM), accruals earnings management (AEM) and classification shifting. Managers make trade‐off decisions among these methods based on the costs, constraints and timing of each strategy. This study investigates whether managers use classification shifting when their ability to use other forms of earnings management is constrained. We find that when REM is constrained by poor financial condition, high levels of institutional ownership and low industry market share, managers are more likely to use classification shifting. Further, we find that when AEM is constrained by low accounting system flexibility and the provision of a cash flow forecast, managers are more likely to use classification shifting. In addition, when we limit our sample to firms that are most likely to have manipulated earnings, we continue to find support for constraints of both REM and AEM leading to higher levels of classification shifting. We also find support for the hypothesis that the timing of each earnings management strategy influences managers’ trade‐off decision. Our results indicate that managers use classification shifting as substitute form of earnings management for both AEM and REM.