“Big Bang” Accounting Reforms in Japan: Financial Analyst Earnings Forecast Accuracy Declines as the Japanese Government Mandates Japanese Corporations to Adopt International Accounting Standards

The mandated adoption of International Accounting Standards (IAS) for Japanese corporations did not result in improved earnings that forecast predictability. These findings contradict the research findings of Ashbaugh and Pincus (2001). Herrmann, Inoue, and Thomas’ (2003) research findings support the need for mandating the adoption of IAS. They found that Japanese managers were “manipulating” reported earnings by managing the sale of fixed assets and marketable securities. Adoption of IAS decreases the availability of this practice and it was and is expected to increase disclosure and transparency. Increased disclosure and transparency are expected to decrease financial analyst forecast errors, which did not decrease for 139 firms examined in this study for the timeframe of 1999–2002. This research finding does not support the idea that adoption of IAS improves financial information used in decision making relative to forecasting earnings. Assuming that increased predictability indicates higher quality reported earnings and enhanced usefulness of financial information, the mandated adoption of IAS did not result in these. Assuming that adoption of IAS in Japan increased the level of transparency and disclosure by Japanese firms, which made it harder for Japanese firms to manage their earnings in order to meet the managerial earnings forecasts that these firms must make. Thus, after the adoption of IAS in Japan, forecast errors for managerial forecasts of earnings increased. This evidence is new to the literature.     

International Accounting Standards and Accounting Quality

We examine whether application of International Accounting Standards (IAS) is associated with higher accounting quality. The application of IAS reflects combined effects of features of the financial reporting system, including standards, their interpretation, enforcement, and litigation. We find that firms applying IAS from 21 countries generally evidence less earnings management, more timely loss recognition, and more value relevance of accounting amounts than do matched sample firms applying non‐U.S. domestic standards. Differences in accounting quality between the two groups of firms in the period before the IAS firms adopt IAS do not account for the postadoption differences. Firms applying IAS generally evidence an improvement in accounting quality between the pre‐ and postadoption periods. Although we cannot be sure our findings are attributable to the change in the financial reporting system rather than to changes in firms' incentives and the economic environment, we include research design features to mitigate effects of both.     

Disclosure Practices, Enforcement of Accounting Standards, and Analysts' Forecast Accuracy: An International Study

Using a sample from 22 countries, I investigate the relations between the accuracy of analysts' earnings forecasts and the level of annual report disclosure, and between forecast accuracy and the degree of enforcement of accounting standards. I document that firm‐level disclosures are positively related to forecast accuracy, suggesting that such disclosures provide useful information to analysts. I construct a comprehensive measure of enforcement and find that strong enforcement is associated with higher forecast accuracy. This finding is consistent with the hypothesis that enforcement encourages managers to follow prescribed accounting rules, which, in turn, reduces analysts' uncertainty about future earnings. I also find evidence consistent with disclosures being more important when analyst following is low and with enforcement being more important when more choice among accounting methods is allowed.     

International Variation in Accounting Measurement Rules and Analysts' Earnings Forecast Errors

We theorize that accounting systems affect analysts' forecast accuracy through changes in earnings variability. We argue that the matching and historical cost principles reduce earnings variability, and hence, reduce analysts' earnings forecast errors. We also argue that restricting the choice of accounting methods can result in larger forecast errors. We argue that more informative disclosure environments should reduce forecast errors. We test whether variation in these factors across countries explain variation in analysts' earnings forecast bias and accuracy. Our results indicate that these characteristics of financial accounting systems are complements, and that they affect financial analysts' earnings forecast errors.     

Do accounting standards matter to financial analysts? An empirical analysis of the effect of cross-listing from different accounting standards regimes on analyst following and forecast error

This paper explores whether the effects of cross-listing on analyst following and forecast error differ among firms with different accounting standards. The results reveal a higher increase in the number of analysts for cross-listed firms that follow their home country's GAAP prior to cross-listing and reconcile or switch to IAS/US GAAP or UK GAAP after cross-listing, compared to those that adopt IAS or US GAAP prior to cross-listing. We find that firms that switch to IAS/US GAAP have a higher increase in analyst following after cross-listing compared to firms that reconcile to IAS/US GAAP. In addition, we find a higher increase in analyst following after cross-listing for firms from low-level accounting standards environments compared to firms from high-level accounting standards environments. Our results show evidence of an increase in the magnitude of analysts’ forecast error after cross-listing for firms that follow their home country's GAAP pre-cross-listing but reconcile post-cross-listing to IAS/US GAAP or UK GAAP. On the other hand, we report a decrease in forecast error for firms that switch to IAS/US GAAP.     

High-Technology Intangibles and Analysts' Forecasts

This study examines the association between firms' intangible assets and properties of the information contained in analysts' earnings forecasts. We hypothesize that analysts will supplement firms' financial information by placing greater relative emphasis on their own private (or idiosyncratic) information when deriving their earnings forecasts for firms with significant intangible assets. Our evidence is consistent with this hypothesis. We find that the consensus in analysts' forecasts, measured as the correlation in analysts' forecast errors, is negatively associated with a firm's level of intangible assets. This result is robust to controlling for analyst uncertainty about a firm's future earnings, which we also find to be higher for firms with high levels of internally generated (and expensed) intangibles. Given that analyst uncertainty increases and analyst consensus decreases with the level of a firm's intangible assets, we also expect and find that the degree to which the mean forecast aggregates private information and is more accurate than an individual analyst's forecast increases with a firm's intangible assets. Finally, additional analysis reveals that lower levels of analyst consensus are associated with high-technology manufacturing companies, and that this association is explained by the relatively high R&D expenditures made by these firms. Overall, our results are consistent with financial analysts augmenting the financial reporting systems of firms with higher levels of intangible assets (in terms of contributing to more accurate earnings expectations), particularly R&D-driven high-tech manufacturers.     

Accounting disclosure and firms' financial attributes: Evidence from the UK stock market

This paper focuses on the disclosure of accounting information in the financial statements of UK firms. The primary objective of the study is to analyse the financial characteristics of firms that provide extensive disclosures, and assess the financial impact of their motives, such as for example the need to raise equity finance. The study examines the financial attributes of firms that disclose information about key accounting issues including risk exposure, changes in accounting policies, use of international financial reporting standards and hedging practices. Firms are inclined to disclose accounting information in order to assure the market participants that their accounting policies are consistent with the accounting regulation and meet the information needs of their stakeholders. The study shows that in order to raise finance in the capital and debt markets, firms tend to provide extensive accounting disclosures. Firms that provide informative accounting disclosures appear to display higher size, growth and leverage measures. The findings also show that the disclosure of sensitive accounting information has not adversely affected firms' profitability. In fact, firms that provide detailed accounting disclosures tend to exhibit higher profitability. The implementation of international financial reporting standards enhances the quality and the comparability of financial statements; hence it promotes consistency and reliability in financial reporting and facilitates companies in raising capital internationally.     

其他综合收益、分析师预测与决策价值

其他综合收益作为“脏盈余”的回收站,是否对信息使用者具有决策价值是困扰准则制定者的重要学术问题,从资本市场最专业的财务报表使用者——证券分析师视角出发,研究其他综合收益对分析师盈余预测的影响,检验分析师是否能够有效识别利用其他综合收益信息.研究结果表明:其他综合收益信息对分析师盈余预测准确性有显著影响,即其他综合收益比重高的企业,分析师盈余误差的分歧越大;其他综合收益强制披露后分析师解读成本减低,盈余预测准确性得以提高.结论支持现阶段其他综合收益信息在分析师利预测中的作用,间接证明其他综合收益的决策价值.     

Does corporate governance transparency affect the accuracy of analyst forecasts?

Using country‐level proxies for corporate governance transparency, this paper investigates how differences in transparency across 21 countries affect the average forecast accuracy of analysts for the country's firms. The association between financial transparency and analyst forecast accuracy has been well documented in previous published literature; however, the association between governance transparency and analyst forecast accuracy remains unexplored. Using the two distinct country‐level factors isolated by Bushman et al. (2004 ), governance transparency and financial transparency, we investigate whether corporate governance information impacts on the accuracy of earnings forecasts over and above financial information. We document that governance transparency is positively associated with analyst forecast accuracy after controlling for financial transparency and other variables. Furthermore, our results suggest that governance‐related disclosure plays a bigger role in improving the information environment when financial disclosures are less transparent. Our empirical evidence also suggests that the significance of governance transparency on analyst forecast accuracy is higher when legal enforcement is weak.     

Accounting standard changes and foreign analyst behavior: Evidence from China

This study investigates changes in foreign analyst behavior before and after Chinese New Accounting Standards was implemented during 2007. The empirical results show that after the new accounting standards were implemented, forecast error among foreign analysts decreased in both absolute and relative terms in comparison with domestic analysts, and foreign analysts forecast earnings more frequently than they did before the new accounting standards. These results imply that the implementation of new accounting standards in the Chinese capital market helped mitigate both information asymmetry between listed firms in China and foreign investors, and the “home bias” of foreign analysts. It also increased the attractiveness of listed firms and facilitated international communication and cooperation. This study also has significant implications for how resource allocation efficiency in the Chinese capital market can be raised and how the “introducing in” policy should be assessed.     

Value relevance of analyst earnings forecasts in emerging markets

Even though research in accounting and finance has extensively examined the role of financial analysts in developed economies, this issue has not been thoroughly examined in an emerging market setting. In this paper, I examine whether, following a market opening, analyst forecast accuracy and the market's reliance on analyst forecasts increase with time. Accuracy is expected to increase over time as analysts exert more effort and gain valuable forecasting experience. Results indicate that time is positively related to analyst forecast accuracy after controlling for a number of other firm and country characteristics. Second, I posit that time should also be related to the market's propensity to use analyst forecasts to form earnings expectations. As markets open and investors become more sophisticated, the reliance on analyst forecasts should also increase. Results are consistent with this expectation. In particular, I find that in the first sub-period earnings expectations based on random walk exhibit greater relative information content than earnings expectations based on analyst forecasts. This pattern is reversed in the third sub-period where analyst forecast errors better explain returns. Incremental information content tests produce similar results. Future research should further investigate the relation between financial analysts and other important market characteristics in emerging economies.     

Causal language intensity in performance commentary and financial analyst behaviour

We use automated techniques to measure causal reasoning on earnings‐related financial outcomes of a large sample of MD&A sections of US firms and examine the intensity of causal language in that context against extent of analyst following and against properties of analysts’ earnings forecasts. We find a positive and significant association between a firm's causal reasoning intensity and analyst following and analyst earnings forecast accuracy respectively. Correspondingly, analysts’ earnings forecast dispersion is negatively and significantly associated with causal reasoning intensity. These results suggest that causal reasoning intensity provides incremental information about the relationship between financial performance outcomes and its causes, thereby reducing financial analysts’ information processing and interpreting costs and lowering overall analyst information uncertainty. Additionally, we find that decreases in analyst following are followed by more causal reasoning on performance disclosure. We also find that firms with a considerable increase of causal disclosure especially attract new analysts who already cover many firms. Overall, our evidence of the relationship between causal reasoning intensity and properties of analyst behaviour is consistent with the proposition that causal reasoning is a generic narrative disclosure quality characteristic, able to provide incremental information to analysts and guide analysts' behaviour.     

Capitalized intangibles and financial analysts

We examine whether firms that capitalize a higher proportion of their underlying intangible assets have higher analyst following, lower dispersion of analysts’ earnings forecasts and more accurate earnings forecasts relative to firms that capitalize a lower proportion. Under Australian generally accepted accounting principles, capitalization of intangible assets has become increasingly ‘routine’ since the late 1980s. It is predicted that this experience leads Australian analysts to expect firms with relatively more certain intangible investments to signal this fact by capitalizing intangible assets. Our results are consistent with this. We find that capitalization of intangible assets is associated with higher analyst following and lower absolute earnings forecast error for firms with a stock of underlying intangible assets. Our tests suggest a weaker association between capitalization and lower earnings forecast dispersion. We conclude that there are benefits for analysts, for management to have the option to capitalize intangible assets. These findings suggest that IAS 38 Intangible Assets and AASB 138 Intangible Assets reduce the usefulness of financial statements.     

Analysts' forecasts of Japanese firms' earnings: additional evidence

This article examines analysts' forecasts of Japanese firms' earnings during Japan's economic burst period in the 1990s. Using the evidence of analyst earnings forecasts in the United States as a benchmark, the article documents the following three findings. First, whereas the forecast accuracy of U.S. analysts following U.S. firms improves over time, the forecast accuracy of U.S. and Japanese analysts following Japanese firms does not. Second, whereas decreases in forecast errors of U.S. analysts following U.S. firms are best explained by decreases in forecast bias of the analysts, increases in forecast errors of U.S. and Japanese analysts following Japanese firms are best explained by increases in the frequency of losses experienced by Japanese firms. Third, Japanese analysts forecast earnings less accurately than do U.S. analysts. These findings reflect the difficulty of producing accurate earnings forecasts during economic downturns. They also suggest that Japanese analysts are more bound than their U.S. counterparts by cultural ties that impede forecast accuracy.     

Did Regulation Fair Disclosure,SOX, and Other Analyst Regulations Reduce Security Mispricing?

Between 2000 and 2003 a series of disclosure and analyst regulations curbing abusive financial reporting and analyst behavior were enacted to strengthen the information environment of U.S. capital markets. We investigate whether these regulations reduced security mispricing and increased stock market efficiency. After the regulations, we find a significant reduction in short‐term stock price continuation following analyst forecast revisions and earnings announcements. The effect was more pronounced among higher information uncertainty firms, where we expect security valuation to be most sensitive to regulation. Analyst forecast accuracy also improved in these firms, consistent with reduced mispricing being due to an improved corporate information environment following the regulations. Our findings are robust to controls for time trends, trading activity, the financial crisis, analyst coverage, delistings, and changes in information uncertainty proxies. We find no concurrent effect among European firms and a regression discontinuity design supports our identification of a regulatory effect.     

IFRS adoption and analysts’ earnings forecasts: Australian evidence

We study 145 large listed Australian firms to explore the impact of international financial reporting standards (IFRS) adoption on the properties of analysts’ forecasts and the role of firm disclosure about IFRS impact. We find that analyst forecast accuracy improves, and there is no significant change in dispersion in the adoption year, suggesting that analysts coped effectively with transition to IFRS. However, we do not observe the expected relationship between firms’ IFRS impact disclosures in their financial statements issued at the end of the transition year with forecast error and dispersion in the adoption year. The results question the timeliness and usefulness of financial statement disclosure, even in a setting where disclosure was mandated by accounting standards (AASB 1047 and AASB 1) and firms had strong incentives to provide information to analysts.     

Analyst Specialization and Conglomerate Stock Breakups

This paper examines whether firms emerging from conglomerate stock breakups are able to affect the types of financial analysts that cover their firms as well as the quality of information generated about their performance. Our sample comprises 103 focus-increasing spin-offs, equity carve-outs, and targeted stock offerings between 1990 and 1995. We find that, after these transactions, sample firms experience a significant increase in coverage by analysts that specialize in subsidiary firms' industries, and a 30–50% increase in analyst forecast accuracy for parent and subsidiary firms. The improvement in forecast accuracy is partially attributable to expanded disclosure. However, forecast improvements for specialists exceed those for non-specialists, leading us to conclude that corporate focus can facilitate improved capital market intermediation by financial analysts with industry expertise.     

Compliance with IFRS disclosure requirements and individual analysts’ forecast errors

We investigate the relationship between analysts’ earnings forecast errors and firm compliance with the disclosure requirements of International Financial Reporting Standards (IFRS). Using a comprehensive disclosure index of selected IFRS for which previous research has indicated significant noncompliance, we develop an unweighted and an innovative weighted measure of IFRS disclosure compliance. We document that forecast error is negatively related to IFRS compliance, and that the magnitude of this effect is larger when controlling for analyst fixed effects. Our findings suggest that compliance with the disclosure requirements of IFRS reduces information asymmetry and enhances the ability of financial analysts to provide more accurate forecasts. Our findings also support the viewpoint that the extent of compliance with accounting standards is as important as the standards themselves. Our results are robust to alternative model specifications.     

The effect of restatements on analyst behavior

This paper examines how changes in the credibility of financial reporting affect analyst behavior. Using a sample of restatement firms experiencing a substantial change in credibility over 1997–2006, we document that restatements have a long‐lived effect on analyst behavior and that analysts differentiate between restatements caused by irregularities and those caused by errors. We find that while irregularity restatement firms exhibit a reduction in analyst coverage and forecast accuracy and an increase in forecast dispersion in the post‐restatement period, other restatement firms exhibit only an increase in forecast error. Finally, we find evidence to suggest that remedial actions reduce the effect of irregularity restatements on analyst behavior. Overall, these results are consistent with the notion that restatements affect analyst behavior in forming judgements regarding subsequent earnings announcements.     

The relationship between returns and unexpected earnings: A global analysis by accounting regimes

Numerous studies have documented a long-term association between earnings and returns. Surprisingly, few attempts have been made to internationally examine market reactions to earnings releases over return windows less than 12 months. This paper globally explores the market reaction to unexpected earnings defined by both the change in earnings per share (EPS) and analyst forecast errors (AFE) using a 1-month return window. First, the existence of the earnings-returns relationship is examined using a sample of firms from 32 countries grouped into accounting regimes. Accounting regimes represent groups of countries that exhibit similarities in accounting standards, stock market characteristics, corporate governance mechanisms, and economic conditions. Thus, similar reactions to earnings are expected within regimes. Next, the incremental information content of analyst forecasts, a proxy for investors’ earnings expectations, is examined. Finally, changes in the structure of the earnings-returns relationship over time are investigated. Results support the existence of a relationship between earnings and returns in all accounting regimes. In addition, analyst forecast errors appear to be incorporated into earnings expectations in most developed countries. Finally, evidence suggests that the significance and explanatory power in the earnings-returns relationship has increased in recent years.