Benefits of management disclosure precision on analysts’ forecasts

2014 ◽  
Vol 13 (4) ◽  
pp. 371-399 ◽  
Author(s):  
Yu-Ho Chi ◽  
David A. Ziebart
Keyword(s):  
Forecast Accuracy ◽  
Earnings Forecasts ◽  
Forecast Errors ◽  
Management Earnings Forecasts ◽  
Earnings Guidance ◽  
Short Term ◽  
Content Type ◽  
Management Forecast ◽  
Forecast Precision ◽  
The Impact

Purpose – The purpose of this paper is to examine the impact of management’s choice of forecast precision on the subsequent dispersion and accuracy of analysts’ earnings forecasts. Design/methodology/approach – Using a sample of 3,584 yearly management earnings per share (EPS) forecasts and 10,287 quarterly management EPS forecasts made during the period of 2002-2007 and collected from the First Call database, the authors controlled for factors previously found to impact analysts’ forecast accuracy and dispersion and investigate the link between management forecast precision and attributes of the analysts’ forecasts. Findings – Results provide empirical evidence that managements’ disclosure precision has a statistically significant impact on both the dispersion and the accuracy of subsequent analysts’ forecasts. It was found that the dispersion in analysts’ forecasts is negatively related to the management forecast precision. In other words, a precise management forecast is associated with a smaller dispersion in the subsequent analysts’ forecasts. Evidence consistent with accuracy in subsequent analysts’ forecasts being positively associated with the precision in the management forecast was also found. When the present analysis focuses on range forecasts provided by management, it was found that lower precision (a larger range) is associated with a larger dispersion among analysts and larger forecast errors. Practical implications – Evidence suggests a consistency in inferences across both annual and quarterly earnings forecasts by management. Accordingly, recent calls to eliminate earnings guidance through short-term quarterly management forecasts may have failed to consider the linkage between the attributes (precision) of those forecasts and the dispersion and accuracy in subsequent analysts’ forecasts. Originality/value – This study contributes to the literature on both management earnings forecasts and analysts’ earnings forecasts. The results assist in policy deliberations related to calls to eliminate short-term management earnings guidance.

Audit quality and attributes of management earnings forecasts

2017 ◽  
Vol 16 (4) ◽  
pp. 406-423 ◽  
Author(s):  
Yu-Ho Chi ◽  
David A. Ziebart
Keyword(s):  
Corporate Governance ◽  
Audit Quality ◽  
Forecast Accuracy ◽  
Academic Community ◽  
Forecast Errors ◽  
Management Earnings Forecasts ◽  
Control Variables ◽  
Content Type ◽  
Time Period ◽  
The Impact

Purpose The purpose of this study is to examine the impact of auditor type on management’s choice of forecast precision and management forecast errors, including the effects of corporate governance. The authors use a different sample and a larger period of years to determine whether prior inferences are robust across these dimensions as well as various corporate governance and other control variables. Design/methodology/approach This quasi-experimental study uses archival data in regression-based analyses. Findings The authors find firms with Big 5 auditors issue forecasts that have larger forecast errors are biased downward and are less precise. The inferences of this study are robust to the inclusion of corporate governance variables, along with an extensive number of control variables found important in prior studies. Research limitations/implications While the sample and time period may be limited, the authors have no evidence this biases the results. Practical implications More stringent auditing may have an unintended consequence of reducing the informativeness of management forecasts, as managers act strategically in regards to forecast accuracy, bias and precision. Social implications The inferences of this study indicate that while higher quality audits could constrain earnings management, higher quality audits may induce management to provide forecasts that have greater errors, may be biased and may be less informative. Originality/value The results and inferences of this study suggest that the inferences in prior studies hold across a different sample and a different time period. This is important given concerns in the academic community regarding the extent to which prior studies can be replicated.

Firm-specific corporate governance and analysts’ earnings forecast characteristics

2018 ◽  
Vol 26 (3) ◽  
pp. 335-361 ◽  
Author(s):  
Minna Yu ◽  
Yanming Wang
Keyword(s):  
Corporate Governance ◽  
Stock Markets ◽  
Earnings Forecasts ◽  
Corporate Management ◽  
Forecast Errors ◽  
Content Type ◽  
Future Performance ◽  
Omitted Variable Bias ◽  
Variable Bias ◽  
The Impact

Purpose The purpose of this paper is to examine the impact of corporate governance on the capital market participants’ abilities to forecast future performance, as measured by the properties of analysts’ earnings forecasts in Asian stock markets. Design/methodology/approach This paper hypothesizes that higher corporate governance is associated with lower forecast errors, lower forecast dispersion and lower forecast revision volatility. Findings These predictions are supported with a sample of companies across eleven Asian economies over 2004-2012. The results of this paper suggest that corporate governance plays a significant role in the predictability of firm’s future performance and, therefore, improves the financial environment in Asian stock markets. Furthermore, the impact of corporate governance on analysts’ forecast properties is more pronounced in countries with strong investor protection. Research/limitations/implications The authors acknowledge the following limitations of this paper. First, the results of this paper may be subject to omitted-variable bias and endogeneity issue. The authors have used control variables in the regressions to reduce the omitted variable bias. The authors have run lead-lag regressions to address causality issue. Second, CLSA corporate governance scores are collected for largest companies in each jurisdiction. Therefore, the sample is biased towards the largest companies in those jurisdictions and may not be representative of the average firm in the Asia. Originality/value The results of this paper speak to the benefit of having strong corporate governance in terms of reducing the information asymmetry between investors and corporate management.

IFRS adoption, corporate governance and management earnings forecasts

2020 ◽  
Vol 18 (2) ◽  
pp. 325-342 ◽  
Author(s):  
Khawla Hlel ◽  
Ines Kahloul ◽  
Houssam Bouzgarrou
Keyword(s):  
Corporate Governance ◽  
Initial Public Offerings ◽  
Financial Reporting ◽  
Audit Committee ◽  
Earnings Forecasts ◽  
Forecast Errors ◽  
Management Forecasts ◽  
Management Earnings Forecasts ◽  
Content Type ◽  
Ifrs Adoption

Purpose This paper aims to examine whether International Financial Reporting Standards (IFRS) adoption and corporate governance attributes increase the management earnings forecasts’ accuracy disclosed in prospectuses for French Initial Public Offerings (IPOs). Design/methodology/approach The analysis is based on cross-sectional regression explaining the absolute forecast errors by using 45 French firms that made IPOs between 2005 and 2016 in two French financial markets: Euronext and Alternext. Findings In agreement with the agency theory and the signaling theory, the authors find that the IFRS adoption and the effective corporate governance, proxied by the board characteristics, increase the accuracy of management forecasts. As a result, this latter gives a credible signal in constructing and sustaining shareholders’ trust on the transparency and the reliability of such financial information. Research limitations/implications It is plausible that the limited size of the sample represents a limitation of this study. Another limitation is that no other corporate governance attributes such as board meeting frequency, audit committee measures and ownership structure are used. Practical implications Shareholders can take benefit from management forecasts accuracy to structure their investment portfolios efficiently to allocate their funds more effectively and mitigate the costs of adverse selection that they have to face. Furthermore, the authors expect the findings to be interesting to IPO firms, as this study highlights the efficiency of larger and independent boards in decreasing managerial discretion, increasing disclosure quality and supervising management. The results could encourage GAAP-adopters countries to move toward IFRS, as this research reinforces the role of IFRS in enhancing the quality of financial disclosure by offering the required information for shareholders. Originality/value This study is important because the potential investors should assess management earnings forecasts accuracy before they consider it when evaluating IPO firms. Also, this paper has some implications for the financial market. It is recommended that future investors pay more attention, when assessing the accuracy of management earnings forecasts, to the accounting regulations of the financial reporting along with the corporate governance mechanisms. Moreover, this study could incite French regulators to revise the AFEP-MEDEF code. Under this code, it could insist that larger and independent boards are more effective in performing their governing roles than smaller boards.

The information content of managerial insider trading: evidence from analyst forecasts

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Omar Esqueda ◽  
Thanh Ngo ◽  
Daphne Wang
Keyword(s):  
Insider Trading ◽  
Fixed Effects ◽  
Information Dissemination ◽  
Forecast Accuracy ◽  
Earnings Forecasts ◽  
Ordinary Least Squares ◽  
Content Type ◽  
Forecast Bias ◽  
Forecast Precision ◽  
Insider Trades

PurposeThis paper examines the effect of managerial insider trading on analyst forecast accuracy, dispersion and bias. Specifically, the authors test whether insider-trading information is positively associated with the precision of earnings forecasts. In addition, this relationship between Regulation Fair Disclosure (FD) and the Galleon insider trading case is examined.Design/methodology/approachPooled ordinary least squares (Pooled OLS) rregressions with year-fixed effects, firm-fixed effects, and firm-level clustered standard errors are used. Our proxies for forecast precision are regressed on alternative measures of insider trading activities and a vector of control variables.FindingsInsider-trading information is positively associated with the precision of earnings forecasts. Analysts provide better forecast accuracy, less forecast dispersion and lower forecast bias among firms with insider trading in the six months leading to the forecast issues. In addition, bullish (bearish) insider trades are associated with increased (decreased) forecast bias. Insider trading information complements analysts' independent opinion and increases the precision of their forecast.Practical implicationsRegulators may pursue rules that promote the rapid disclosure of managerial insider trades, particularly given the increasing availability of Internet tools. Securities regulators may attempt to increase transparency and enhance the reporting procedures of corporate insiders, for example, using Internet sources with direct release to the public to ensure more timely information dissemination.Originality/valueThe authors document a positive association between earnings forecast precision and managerial insider trading up to six months prior to the forecast issue. This relationship is stronger after the Securities and Exchange Commission (SEC) prohibited the selective disclosure of material nonpublic information through Regulation FD. In addition, the association between insider trading and forecast accuracy has weakened after the Galleon insider trading case.

Absolute Forecast Errors of Earnings in Malaysian IPO Prospectuses: The Impact of Ethnic Diversity

2014 ◽  
Vol 68 (3) ◽  
Author(s):  
Mohammed Abdullah Ammer ◽  
Nurwati A. Ahmad-Zaluki
Keyword(s):  
Ethnic Diversity ◽  
Boards Of Directors ◽  
Forecast Error ◽  
Forecast Accuracy ◽  
Earnings Forecasts ◽  
Ordinary Least Squares ◽  
Audit Committees ◽  
Earnings Forecast ◽  
Forecast Errors ◽  
The Impact

The main focus of this paper is the earnings forecast, a vital information included in IPO prospectus. Specifically, our paper examined the impact of ethnic diversity groups on the boards of directors and audit committees in terms of earnings forecast accuracy. We are motivated by the lack of prior studies related to investigating IPO earnings forecast. Cross-sectional Ordinary Least Squares (OLS) modeling was conducted on 190 Malaysian IPOs from 2002 to 2012. For the evaluation of earnings forecast accuracy, we mathematically used the metric of Absolute Forecast Error (AFER). Moreover, for the test of robustness, we used the metric of Squared Forecast Error (SQFER) as error measurement, as it mostly deals with large errors. The empirical results indicate that the ethnic diversity groups on boards and audit committees have an impact on the accuracy of earnings forecasts. However, the evidence is significant for Chinese and Malay serving on boards but insignificant in terms of Chinese and Malay serving on audit committee. The findings indicate that multi-ethnic groups in Malaysian IPO companies could hinder the capability of IPO companies to achieve accurate earnings forecasts in their prospectuses.

Does customer satisfaction matter to managers’ earnings forecasts and stock returns?

2018 ◽  
Vol 52 (9/10) ◽  
pp. 2026-2051 ◽  
Author(s):  
Jenny (Jiyeon) Lee ◽  
Youngdeok Lim ◽  
Hyung Il Oh
Keyword(s):  
Customer Satisfaction ◽  
Stock Returns ◽  
Firm Value ◽  
Earnings Forecasts ◽  
Management Forecasts ◽  
Management Earnings Forecasts ◽  
Marketing Metrics ◽  
Content Type ◽  
Study Results ◽  
The Impact

PurposeThe purpose of this study is to examine the relevance of American Customer Satisfaction Index (ACSI) to management voluntary forecasts of earnings. The authors further investigate whether the market reacts to such forecasts in respect of satisfaction.Design/methodology/approachThe authors’ econometric models are constructed from previous work in accounting to specify the effect of ACSI on the issuance and optimism of management forecasts. Our model also specifies the impact of management optimism with respect to ACSI on stock returns. The data consisting of US firms in the 2001-2010 is collated from several databases and analyzed using multiple regression procedures.FindingsResults indicate that ACSI is positively associated with the likelihood of issuing management forecasts and boosts management optimism. It is also found that investors react negatively to management optimism that is inherent in forecasts and results from satisfaction.Research limitations/implicationsThe authors’ research findings not only complement prior work on the linkage between customer satisfaction and firm value by incorporating a managerial perspective but also respond to the recent call for further work on how relevant marketing metrics drive organizational decisions and firms’ financial performance. It should be noted that findings are limited to firms that release both a voluntary issuance of management forecasts and ACSI.Practical implicationsThe study results shed light on the justification of marketing expenditures and provide a response to the call for marketing accountability. The study results also enable managers to make better decisions about whether and when to issue a forecast. The authors’ research further calls stakeholders’ attention to the presence of management forecast optimism with respect to satisfaction.Originality/valueDespite the importance of managers as primary information generators and disseminators in the capital markets, there appears to be little discussion on the satisfaction’s relevance to market participants, particularly in relation to the role of managers. Therefore, this investigation is the first to empirically show the relevance of ACSI to management earnings forecasts that have been ignored in the marketing literature.

scholarly journals The effect of disclosure regulation on the bias and accuracy of management earnings forecasts in Malaysian IPO prospectuses

2017 ◽  
Vol 15 (1) ◽  
pp. 59-77 ◽  
Author(s):  
Mohammed Abdullah Ammer ◽  
Nurwati A. Ahmad-Zaluki
Keyword(s):  
Initial Public Offering ◽  
Voluntary Disclosure ◽  
Earnings Forecasts ◽  
Management Earnings Forecasts ◽  
Multivariate Statistical ◽  
Disclosure Regulation ◽  
Content Type ◽  
Study Results ◽  
The Impact

Purpose This paper aims to examine the impact of disclosure regulation on the levels of bias and accuracy in management earnings forecasts disclosed in the prospectuses of Malaysian initial public offering (IPO). Specifically, the authors investigated the two environments of regulation (mandatory versus voluntary) to draw some conclusions regarding the benefits of regulating disclosure of management earnings forecasts. Design/methodology/approach A sample of 111 Malaysian IPOs listing on the Main Market of Bursa Malaysia from January 1, 2004 to February 29, 2012 was used. The paper uses both univariate and multivariate statistical analyses on this sample of IPOs. Findings The empirical results of these multivariate regressions indicated that disclosure regulation has positive and significant impact on the bias and accuracy of management earnings forecasts disclosed in IPO prospectus. In general, the study results suggest that using disclosure regulation to improve the quality of IPO earnings forecasts can be, to some extent, an effective strategy. Practical implications The findings of this study have important implications for regulators and investors. The findings can provide them some relevant insights on the improvements to the earnings forecasts accuracy and trends of the forecast (optimistic or pessimistic) after the change from mandatory to voluntary disclosure. Thus, the authorities may learn whether this change is an effective policy or whether the regime of mandatory disclosure was better for IPO companies and should be reversed. Originality/value This study is regarded as the first attempt to investigate the impact of reforms in disclosure regulation on the quality of management earnings forecasts of IPO prospectuses in a developing nation such as Malaysia. In spite of this, the paper focuses on a single country, and it contributes significant insights to the debate about the credibility of IPO management earnings forecasts.

Types of politically connected firms and analysts' earnings forecast

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Khairul Anuar Kamarudin ◽  
Wan Adibah Wan Ismail ◽  
Iman Harymawan ◽  
Rohami Shafie
Keyword(s):  
Information Asymmetry ◽  
Boards Of Directors ◽  
Forecast Accuracy ◽  
Earnings Forecasts ◽  
Analyst Forecast ◽  
Earnings Forecast ◽  
Content Type ◽  
Thomson Reuters ◽  
Different Types ◽  
The Impact

PurposeThis study examined the effect of different types of politically connected (PCON) Malaysian firms on analysts' forecast accuracy and dispersion.Design/methodology/approachThe study identified different types of PCON firms according to Wong and Hooy's (2018) classification, which divided political connections into government-linked companies (GLCs), boards of directors, business owners and family members of government leaders. The sample covered the period 2007–2016, for which earnings forecast data were obtained from the Institutional Brokers' Estimate System (IBES) database and financial data were extracted from Thomson Reuters Fundamentals. We deleted any market consensus estimates made by less than three analysts and/or firms with less than three years of analyst forecast information to control for the impact of individual analysts' personal attributes.FindingsThe study found that PCON firms were associated with lower analyst forecast accuracy and higher forecast dispersion. The effect was more salient in GLCs than in other PCON firms, either through families, business ties or boards of directors. Further analyses showed that PCON firms—in particular GLCs—were associated with more aggressive reporting of earnings and poorer quality of accruals, hence providing inadequate information for analysts to produce accurate and less dispersed earnings forecasts. The results were robust even after addressing endogeneity issues.Research limitations/implicationsThis study found new evidence of the impact of different types of PCON firms in exacerbating information asymmetry, which was not addressed in prior studies.Practical implicationsThis study has a significant practical implication for investors that they should be mindful of high information asymmetry in politically connected firms, particularly government-linked companies.Originality/valueThis is the first study to provide evidence of the impact of different types of PCON firms on analysts' earnings forecasts.

scholarly journals Do analysts understand accruals’ persistence? Evidence revisited

2019 ◽  
Vol 21 (1) ◽  
pp. 38-59
Author(s):  
Ivana Raonic ◽  
Ali Sahin
Keyword(s):  
Forecast Error ◽  
Forecast Accuracy ◽  
Earnings Forecasts ◽  
Cash Flows ◽  
Share Price ◽  
Future Research ◽  
Forecast Errors ◽  
Content Type ◽  
Future Earnings ◽  
Money Managers

Purpose The purpose of this paper is to revisit the question of whether analysts anticipate accruals’ predicted reversals (or persistence) of future earnings. Prior evidence documents that analysts who provide information to investors are over optimistic about firms with high working capital (WC) accruals. The authors propose that empirical models using WC accruals alone may be incomplete and hence not entirely appropriate to assess the level of analysts’ understanding of accruals. The authors argue that analysts’ optimism about WC accruals might not be due to their lack of sophistication, but rather driven by incomplete accrual information embedded in forecast accuracy tests. Design/methodology/approach The authors use non-financial US firms for the period between 1976 and 2013. The authors define earnings forecast errors as the analysts’ consensus earnings forecasts minus the actual earnings provided by IBES deflated by share price from CRSP. The authors carry out forecast error regressions on individual accrual components by decomposing total accruals into categories. The authors perform the tests across 12 months starting from the initial analysts’ forecasts, which are generally issued in the first month after the prior period earnings announcement date. The final sample contains 48,142 firm–year observations per month. Findings The empirical tests show no correlation between analysts’ forecast errors and revised total accruals. The findings are robust to different samples, periods, model specifications, decile ranked accruals, high accruals, absolute forecast errors, controlling for cash flows (CF) and high accounting conservatism. The findings imply that if analysts are to achieve more accurate forecasts, they should be considering all rather than some accrual components. The authors interpret this evidence as an indication of analysts’ relative sophistication with respect to accruals. Research limitations/implications The authors recognise that analysts’ correct anticipation of accruals’ persistence does not mean that their earnings forecasts are entirely free of bias. Analysts can make forecast errors for various reasons including strategic biases. For instance, the tests show pessimistic forecast errors with respect to CF, which is in line with similar findings in prior research (Drake and Myers, 2011). Hence, the authors suggest that future research examine this correlation in greater depth as CF components are with the highest level of persistence, and hence should be predicted most accurately. Practical implications The results imply that the argument about analysts’ lack of sophistication with respect to accruals’ persistence is not warranted. The results imply that forecasts appear to contribute to market efficiency. Another implication is that analysts seem to utilise all relevant accrual information in their forecasts, hence traditional accrual definition should be revised in future studies. Key inferences of the paper imply that the growing use of analysts’ reports by institutional investors and money managers in their decision-making processes is justified despite the debate in the prior literature on the role and the reputation of analysts as surrogates of market expectations. Originality/value The research sheds a new light on the question whether sell-side security analysts are able to anticipate the persistence of accruals in future earnings.

scholarly journals "The Impact Of CEO Turnover On Security Analysts' Forecast Accuracy" - A Comment

2011 ◽  
Vol 16 (1) ◽  
Author(s):  
David T. Doran
Keyword(s):  
Forecast Error ◽  
Forecast Accuracy ◽  
Earnings Forecasts ◽  
Nonparametric Tests ◽  
Percentage Error ◽  
Control Group ◽  
Security Analysts ◽  
Error Measures ◽  
Forecast Precision ◽  
The Impact

A recent Journal of Applied Business Research article by Sheikholesami, Wilson and Slevin (1998) examined the accuracy of security analysts' earnings forecasts for CEO change firms relative to a control group.  The authors applied ANOVA on Value Line percentage forecast error measures and found "marginally significant" results indicating "that precision improved more for CEO change firms than for control firms."  Doran (1998) tests for superior methods when scrutinizing forecast error.  He finds percentage forecast error data to be severely non-normal, and demonstrates that nonparametric tests based upon ranks are superior to parametric methods.  If analysts' earnings forecast precision actually improves more for CEO change firms, test results should be stronger using rank values instead of discrete percentage error measures.

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