Analyst Forecast Errors (analyst + forecast_error)

Distribution by Scientific Domains

Selected Abstracts

Predictability in Financial Analyst Forecast Errors: Learning or Irrationality?

ABSTRACT In this paper, we propose a rational learning-based explanation for the predictability in financial analysts' earnings forecast errors documented in prior literature. In particular, we argue that the serial correlation pattern in analysts' quarterly earnings forecast errors is consistent with an environment in which analysts face parameter uncertainty and learn rationally about the parameters over time. Using simulations and real data, we show that the predictability evidence is more consistent with rational learning than with irrationality (fixation on a seasonal random walk model or some other dogmatic belief). [source]

The Effect of National Governance Codes on Firm Disclosure Practices: Evidence from Analyst Earnings Forecasts

John Nowland
ABSTRACT Manuscript Type: Empirical Research Question: This study examines whether voluntary national governance codes have a significant effect on company disclosure practices. Two direct effects of the codes are expected: 1) an overall improvement in company disclosure practices, which is greater when the codes have a greater emphasis on disclosure; and 2) a leveling out of disclosure practices across companies (i.e., larger improvements in companies that were previously poorer disclosers) due to the codes new comply-or-explain requirements. The codes are also expected to have an indirect effect on disclosure practices through their effect on company governance practices. Research Findings/Results: The results show that the introduction of the codes in eight East Asian countries has been associated with lower analyst forecast error and a leveling out of disclosure practices across companies. The codes are also found to have an indirect effect on company disclosure practices through their effect on board independence. Practical Implications: This study shows that a regulatory approach to improving disclosure practices is not always necessary. Voluntary national governance codes are found to have both a significant direct effect and a significant indirect effect on company disclosure practices. In addition, the results indicate that analysts in Asia do react to changes in disclosure practices, so there is an incentive for small companies and family-owned companies to further improve their disclosure practices. [source]

Domestic Accounting Standards, International Accounting Standards, and the Predictability of Earnings

Hollis Ashbaugh
We investigate (1) whether the variation in accounting standards across national boundaries relative to International Accounting Standards (IAS) has an impact on the ability of financial analysts to forecast non-U.S. firms' earnings accurately, and (2) whether analyst forecast accuracy changes after firms adopt IAS. IAS are a set of financial reporting policies that typically require increased disclosure and restrict management's choices of measurement methods relative to the accounting standards of our sample firms' countries of domicile. We develop indexes of differences in countries' accounting disclosure and measurement policies relative to IAS, and document that greater differences in accounting standards relative to IAS are significantly and positively associated with the absolute value of analyst earnings forecast errors. Further, we show that analyst forecast accuracy improves after firms adopt IAS. More specifically, after controlling for changes in the market value of equity, changes in analyst following, and changes in the number of news reports, we find that the convergence in firms' accounting policies brought about by adopting IAS is positively associated with the reduction in analyst forecast errors. [source]

Does the Capitalization of Development Costs Improve Analyst Forecast Accuracy?

Evidence from the UK
It has been documented that investments in Research and Development (R&D) are associated with increased errors and inaccuracy in earnings forecasts made by financial analysts. These deficiencies have been generally attributed to information complexity and the uncertainty of the future benefits of R&D. This paper examines whether the capitalization of development costs can reduce analyst uncertainty about the future economic outcome of R&D investments, provide outsiders with a better matching of future R&D-related revenues and costs, and therefore promote accuracy in analyst forecasts. UK data is used, because accounting rules in the United Kingdom permitted firms to conditionally capitalize development costs even before the introduction of the International Financial Reporting Standards. The choice to expense R&D rather than conditionally capitalize development costs is found to relate positively to signed analyst forecast errors. This finding is robust to controlling for the influence of other factors that may affect errors, as well as for the influence of R&D investments on forecast errors. The decision to capitalize versus expense is not observed to have a significant influence on analyst forecast revisions. The findings are interpreted as evidence that the choice to capitalize as opposed to expense may help to reduce deficiencies in analyst forecasts; hence, is informative for users of financial statements. Increased informativeness is expected to have repercussions for the effectiveness with which analysts produce earnings forecasts, and, as a result, market efficiency. [source]

Analysts' Forecasts in Asian-Pacific Markets: The Relationship among Macroeconomic Factors, Accounting Systems, Bias and Accuracy

Ervin L. Black
In this study, we describe determinants of accuracy/bias of analysts' forecasts in 13 economies of the Asian-Pacific region. Examination of the accuracy of analysts' earnings forecasts allows us to judge how accounting systems and macroeconomic distinctions in this region affect earnings predictability. As many investors rely on analysts' earnings forecasts instead of producing their own, the growth of international investment means forecasts in non-US markets will become increasingly important to investors worldwide. Using a sample of firms with data available on Global Vantage and I/B/E/S International, we find that the analysts on average have a pessimistic bias in Asian-Pacific markets. We examine whether macroeconomic factors explain part of the difference in the size of analyst forecast errors, using the global competitiveness rankings of the World Economic Forum (WEF). We expect that those nations which are more open to foreign trade and investment and are ranked more highly by the WEF in its Global Competitiveness Index will also have more accurate analyst forecasts, as increased global competitiveness demands greater integration into the world economy, and such integration should lead to more transparent financial statements and more accurate earnings forecasts. Our findings are consistent with this prediction. We also find that countries with low book-tax conformity have more accurate earnings forecasts. [source]