Serial Correlation in Management Earnings Forecast Errors

We examine whether management earnings forecast errors exhibit serial correlation and how analysts understand the serial correlation property of management forecast errors (MFEs). MFEs should not exhibit serial correlation if managers efficiently process information in prior forecast errors and truthfully convey their earnings expectations through management forecasts. However, for long‐horizon management forecasts of annual earnings, we find significantly positive serial correlation in MFEs, and sample self‐selection does not seem to drive this phenomenon. Further analyses suggest that managers’ unintentional information processing bias contributes to this positive serial correlation. Analysts anticipate the intertemporal persistence of MFEs but underestimate the persistence level when reacting to management forecasts. Our findings have implications for market participants who rely on management forecasts to form earnings expectations, and also shed light on the efficiency of managerial decision making.     

The accuracy of IPO earnings forecasts in Thailand and their relationships with stock market valuation

In order to help reduce information asymmetry between managers and prospective investors, IPO prospectuses in Thailand are required to publish managers' forecasts of the forthcoming year's earnings. This type of direct disclosure is especially important in a developing economy such as Thailand where financial intermediaries and information vendors are relatively sparse, and where investors are rarely professionals. Our results demonstrate that managers' earnings forecasts are much more accurate than extrapolations of historical earnings. We show that forecast accuracy is related to underpricing, and it has a directional, but not statistical, association with one-year stock returns and one-year wealth relatives.     

Evidence That Management Earnings Forecasts Do Not Fully Incorporate Information in Prior Forecast Errors

Abstract:  This paper investigates whether managers fully incorporate the implications of their prior earnings forecast errors into their future earnings forecasts and, if not, whether this behavior is related to the post-earnings announcement drift. I find a positive association in consecutive management forecast errors, suggesting that managers underestimate the future implications of past earnings information when forecasting earnings. I also find that managers underestimate the information in their prior forecast errors to a greater extent when they make earnings forecasts with a longer horizon. Finally, I find that, similar to managers, the market also underreacts to earnings information in management forecast errors, which leads to predictable stock returns following earnings announcements.     

Additional Evidence on Analysts’ Decision to Issue Disaggregated Earnings Forecasts: Strategic Biasing

This study examines why analysts issue disaggregated earnings forecasts to I/B/E/S. Some recent studies suggest that analysts with superior forecasting ability issue disaggregated earnings forecasts to build reputation in the marketplace and stop forecast disaggregation once their reputation has been established. Based on an analysis of I/B/E/S forecast data for U.S. firms from 1998 to 2008, we find that, in a given year, about 20%–34% of analysts disaggregate for some, but not for all the firms that they follow. This evidence of selective disaggregation by analysts suggests that reputation building alone does not fully explain the decision to disaggregate forecasts. We hypothesize that the decision to disaggregate earnings forecasts is at the firm‐level as well and is systematically related to the analysts’ bias in the issued forecasts. Our findings are that (a) analysts’ overall optimistic bias and forecast errors decrease monotonically with the level of forecast disaggregation, and (b) analysts that selectively disaggregate their forecasts for some firms or who do not persistently disaggregate a given firm's forecasts exhibit more positive bias and larger forecast errors. Our findings are consistent with the notion that the analysts who issue biased forecasts, for example, to curry favour with the management, are less likely to provide disaggregated information as part of the forecast.     

The impact of SOX on opportunistic management behavior

An innovative aspect of this study is the use of a relatively new metric to capture opportunistic earnings management behavior. We define opportunistic earnings management as the difference between a firm's US-GAAP earnings and ex post earnings consensus derived from forecasts of financial analysts who follow that firm. Using over 24,500 quarterly reports of over 2,500 publicly-traded companies spanning two three-year periods, and controlling for factors previously linked to having an effect on earnings management and analysts forecast effort, we find statistical evidence supporting the proposition that, in the aggregate, the Sarbanes–Oxley Act (SOX) has served as a constraint on curbing opportunistic earnings management behavior, and thus should be considered as an effective means to improve the quality of financial reporting information.     

Risk-based forecasting and planning and management earnings forecasts

This study examines the association between a firm’s internal information environment and the accuracy of its externally disclosed management earnings forecasts. Internally, firms use forecasts to plan for uncertain futures. The risk management literature argues that integrating risk-related information into forecasts and plans can improve a firm’s ability to forecast financial outcomes. We investigate whether this internal information manifests itself in the accuracy of external earnings guidance. Using detailed survey data and publicly disclosed management earnings forecasts from a sample of publicly traded U.S. companies, we find that more sophisticated risk-based forecasting and planning processes are associated with smaller earnings forecast errors and narrower forecast widths. These associations hold across a variety of different planning horizons (ranging from annual budgeting to long-term strategic planning), providing empirical support for the theoretical link between internal information quality and the quality of external disclosures.     

Do Publicly Signalled Earnings Management Incentives Affect Analyst Forecast Accuracy?

Using a panel of listed Australian firms for the years 1999–2007, this paper investigates whether analysts' forecast efficiency is improved by the occurrence of a publicly observable event, such as a CEO appointment, which signals a firm's earnings management incentives. Two supporting hypotheses are also tested: first, that CEO appointments are associated with income‐decreasing earnings management; and second, that analyst forecast errors increase with the level of earnings management present in current period financial statements. Consistent with prior literature, we find income‐decreasing earnings management in the year of CEO appointment. Earnings management, as a general phenomenon, is found to be significantly related to analyst forecast errors in the period in which the earnings management occurs. However, we present evidence that analyst forecasts for current year earnings are significantly more accurate with respect to earnings management in cases where a CEO is appointed during the current financial period.     

Are more able managers good future tellers? Learning from Japan

Baik et al. (2011) find that high-ability managers in the U.S. are more likely to issue accurate management earnings forecasts. Focusing on Japan, where management earnings forecasts are effectively mandated, we extend the literature by exploring (1) whether the relationship between managerial ability and forecast accuracy is unique to the U.S. disclosure system, where management forecasts are voluntary, and (2) how high-ability managers increase their forecast accuracy. We find that managerial ability is negatively associated with forecast errors based on initial forecasts, suggesting that high-ability managers are more likely to issue accurate forecasts at the beginning of the fiscal year. We then show that high-ability managers are less likely to revise their initial earnings forecasts and less likely to use earnings management to improve the accuracy of their earnings forecasts. Our findings show that, while high-ability managers are more likely to issue accurate initial management forecasts, low-ability managers are more likely to revise their forecasts and conduct earnings management to reduce their forecast errors.     

How efficient is the market for Australian firms’ earnings information?

We construct a measure of the speed with which forecasts issued by sell-side analysts accurately forecast future annual earnings. Following Marshall, we label this measure earnings information flow timeliness (EIFT). This measure avoids the aggregation problem inherent in price-based measures of information efficiency. We document large variation in EIFT across firm-years, and show that EIFT is positively associated with the extent of analyst following, consistent with increased analyst coverage improving the speed with which earnings-related information is recognised. We also find that EIFT is higher for firm-years classified as ‘bad news’ (i.e., where analysts’ forecasts at the start of the financial period exceed the reported outcome). However, when we separately consider instances where analysts appear to forecast non-GAAP (or ‘street’) earnings rather than GAAP earnings, we find that the greater timeliness of bad news is concentrated among observations where analysts forecast non-GAAP earnings, where unusual items are typically excluded. We conclude that the market for accounting information is more efficient for negative operating outcomes than for negative outcomes reflecting unusual items.     

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。