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.     

Investor legal protection,capitalized development costs,and audit fees: A cross‐country analysis

Our study explores the association between capitalized development costs and audit fees. International Accounting Standard No. 38 stipulates the discretion to capitalize the development costs of internally generated intangible assets. We find a positive association between capitalized development costs and audit fees, which reflects auditors’ concern that managers may use the discretion of development cost capitalization to manipulate earnings. Moreover, this positive association is mitigated by stronger investor legal protection because stronger investor legal protection alleviates the earnings management concern from capitalized development costs. These results suggest that country‐level legal regimes affect auditors’ perception on client firms’ accounting choices. Our study contributes to the literature exploring how legal regimes affect auditor behaviors.     

The negative impact of R&D capitalization: A value relevance approach

Abstract

Accounting for R&D costs is an open issue. SFAS N°2 mandates that all R&D costs must be immediately expensed. IAS 38 requires capitalization of R&D costs if they meet certain criteria. Recent research papers show the value relevance of capitalized R&D. We test the value relevance of R&D reporting in a sample of 197 French firms between 1993 and 2002. The French context provides an interesting field for R&D value relevance studies because both accounting treatments of R&D costs (expensing and capitalization) are allowed. Unlike previous studies, we find that capitalized R&D is negatively associated with stock prices and returns. This negative coefficient on capitalized R&D implies that investors are concerned with and react negatively to capitalization of R&D. We also find that the firms choosing to capitalize (successful) R&D are smaller, more highly leveraged, less profitable and have less growth opportunities. Taking into account these characteristics, our robustness checks confirm that capitalized R&D is not associated with higher prices and is related to lower returns.     

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

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.     

Variations in the Financial Reporting Environment and Earnings Forecasting

This paper examines variations in the financial reporting environment internationally. In particular, I investigate the relation between variations in accounting‐related institutional factors (choice, accrual accounting and enforcement) and the accuracy of analysts' earnings forecasts. Controlling for firm‐ and country‐level factors, I document that the extent of choice among accounting methods is associated with lower forecast accuracy. This finding is consistent with analysts' performance suffering from the increased task complexity (and/or managers using flexibility for purposes other than to provide information). The degree of prescribed accrual accounting is positively correlated with forecast accuracy, consistent with both accruals providing useful information and with the smoothing function of accruals. Enforcement of accounting standards is positively related with forecast accuracy, suggesting that enforcement encourages managers to follow prescribed rules, which, in turn, reduces analysts' uncertainty. Finally, I examine whether the roles of accrual accounting and choice vary with the level of enforcement. Although univariate tests support these interaction hypotheses, multivariate tests do not.     

Capitalizing Research & Development: Signaling or Earnings Management?

This paper analyzes the capitalization of Research & Development (R&D) expenditures under International Financial Reporting Standards (IFRS). Discretionary R&D capitalization can be exercised by managers to signal private information on future economic benefits to the market. It can, however, also serve as opportunistic earnings management. We analyze a unique, hand-collected sample of highly R&D intensive German IFRS firms during 1998–2012. We find that market values are not associated with capitalized R&D for the overall sample, indicating that earnings management may be a concern. We identify firm-years for which R&D capitalization is possibly used for pushing their earnings above a specific threshold (e.g. analysts' forecasted earnings, prior year's earnings). Our results show that both the decision to capitalize and how much to capitalize are strongly associated with benchmark beating. Consistently, we find that market values are negatively associated with capitalized R&D for firms who are likely to use capitalization for benchmark beating (about one third of the overall sample). On the other hand, the market values R&D capitalization positively for well-performing firms, for which capitalizing does not matter to beat an earnings benchmark (about half of the overall sample). This finding is robust to controls for endogeneity, various deflators, and different measures for earnings management.     

Accounting Choice and Earnings Quality: The Case of Software Development

In this study I explore how accounting choice affects earnings quality in the software development industry. SFAS No. 86, which requires capitalization of software development costs (SDC), is the only exception in the US to SFAS No. 2, which requires immediate expensing of all research and development (R&D) expenditures. Aboody and Lev (1998) suggest that capitalized SDC are value-relevant. Thus, expensing of these costs might introduce noise into earnings. However, it has been suggested that future benefits associated with SDC are highly uncertain (Software Publishers Association). Consequently, capitalization might introduce noise into earnings by capitalizing unproductive expenditures. Hence, it is not clear how managers' choice between capitalization and expensing will affect earnings quality. I first find that there is a decline in the quality of earnings in the software industry after the adoption of SFAS No. 86, whereas no such decline is observed in other high-tech industries. Second, I find that, within the software industry, the quality of earnings for expensers is greater than for capitalizers. Finally, I find that, among the capitalizers, those with a large increase in software capital have lower earnings quality than others. Overall, the results suggest that capitalization of software costs does not improve earnings quality.     

The Economic Relevance of Environmental Disclosure and its Impact on Corporate Legitimacy: An Empirical Investigation

In determining its environmental disclosure strategy, a firm's management faces a tension between responding to the information needs of financial markets and maintaining its legitimacy within the community. In this paper, relying on information economics and legitimacy theory, we explore how firms resolve this tension. Results show that a firm's environmental disclosure enhances the quality of analysts' information context, which ultimately allows them to make better forecasts. Moreover, financial analysts seem to be able to decipher environmental information, discounting discourses that are inconsistent with a firm's underlying environmental performance. We find also that a firm's environmental disclosure serves another purpose, as it influences how its other stakeholders (beyond financial ones) perceive its legitimacy. Such enhanced legitimacy reduces the information uncertainty faced by financial analysts. Our results suggest also that both economic‐based environmental disclosure and sustainable development and environmental disclosure are useful to analysts in making their forecasts and enhance a firm's legitimacy. Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment.     

Accuracy, Bias, and Dispersion in Analysts' Earnings Forecasts: The Case of Cross-Listed Foreign Firms

This paper examines differences in analysts' earnings forecast characteristics for foreign incorporated non-U.S. firms cross-listed in the U.S. stock markets relative to a control sample of purely domestic firms. Examining summary earnings forecasts over the calendar years 1984 through 1989, this paper provides evidence that there are statistically significant differences in bias and accuracy between domestic and cross-listed foreign firms. Consistent with prior research, we find a horizon effect in accuracy; i.e., accuracy improves as we get closer to the actual earnings announcement for both types of firms. However, the differences in accuracy between the cross-listed and domestic firms persist only in the earlier forecast horizons where analysts' forecasts are less accurate for foreign cross-listed firms compared with domestic firms. The evidence is also consistent with analysts' exhibiting less optimism with respect to cross-listed foreign firms compared with the domestic firms. Finally, the paper also documents that there is a greater consensus among analysts for foreign cross-listed firms than for domestic firms.     

Do Analysts Strategically Employ Cash Flow Forecast Revisions to Offset Negative Earnings Forecast Revisions?

We investigate whether analysts use cash flow forecasts to reduce the impact of earnings forecast revisions (EFRs) on market participants. In particular, we focus on conflict between an analyst's concurrent cash flow and earnings forecast revisions. We hypothesize and find that analysts are more likely to issue a positive cash flow forecast revision when they issue a negative earnings forecast revision concurrently, but not the opposite, particularly for Fortune 500 firms. Furthermore, our supplementary analyses suggest that (1) some analysts optimistically bias cash flow forecasts when they issue negative earnings forecast revisions; (2) the market pays less attention to the historical accuracy of analyst cash flow forecasts, so analysts have some latitude to present their cash flow forecasts in an optimistic way; and (3) the market reacts mainly to the direction, not the magnitude, of cash flow forecast revisions. Overall, these findings suggest that analysts may strategically use cash flow forecasts in conjunction with earnings forecasts to maintain good management relationships.     

Introduction of International Accounting Standards,Disclosure Quality and Accuracy of Analysts' Earnings Forecasts

We examine whether the introduction of international accounting standards by German companies has improved the accuracy of analysts' forecasts, and what role changes in the quality of disclosures have played in this process. We develop a structural equation model that allows us to separate the effects of changes in disclosure quality from other effects of the introduction of international accounting standards on forecast errors. Our sample comprises 1,908 firm-years covering the period from 1997 to 2005. We measure disclosure quality with data from a yearly annual-report competition. We find that the introduction of international accounting standards has been associated with a significant improvement in forecast accuracy. Increases in the quality of companies' disclosures appear to have contributed to this improvement. However, the disclosure effect, while significant, explains only a small portion of the overall improvement in forecast accuracy. Further analyses show that differences in disclosure quality are more relevant for German GAAP companies than for IFRS/US GAAP companies. Moreover, only the quality of notes to companies' financial statements appears to matter to analysts; the quality of management reports appears to make no difference. Our results are robust to a variety of tests concerning the sample composition, the operationalisation of variables and the estimation procedure.     

Dissemination of Accruals Information,Role of Semi‐Annual Reporting,and Analysts' Earnings Forecasts: Evidence from Japan

Our study investigates the effects of dissemination of accounting accruals information on stock prices using Japanese annual reports as our sample. We conduct month‐by‐month detailed analyses of price adjustment behavior with a particular focus on revisions of analysts' earnings forecasts and changes in trading volume around the period of upcoming semi‐annual reports. We find that analysts' forecasts are often revised around this time, and analysts use this as auxiliary information. In addition, an accompanying re‐adjustment of abnormal returns and an increase in trading volume are observed. Our findings demonstrate that informational uncertainty initially triggered by the announcement of annual reports decreases as semi‐annual reports are disclosed and analysts change their earnings forecasts, and confirms the importance of semi‐annual reporting.     

How to Measure Analyst Forecast Effort

Abstract

We introduce a new way to measure the forecast effort that analysts devote to their earnings forecasts by measuring the analyst's general effort for all covered firms. While the commonly applied effort measure is based on analyst behaviour for one firm, our measure considers analyst behaviour for all covered firms. Our general effort measure captures additional information about analyst effort and thus can identify accurate forecasts. We emphasise the importance of investigating analyst behaviour in a larger context and argue that analysts who generally devote substantial forecast effort are also likely to devote substantial effort to a specific firm, even if this effort might not be captured by a firm-specific measure. Empirical results reveal that analysts who devote higher general forecast effort issue more accurate forecasts. Additional investigations show that analysts' career prospects improve with higher general forecast effort. Our measure improves on existing methods as it has higher explanatory power regarding differences in forecast accuracy than the commonly applied effort measure. Additionally, it can address research questions that cannot be examined with a firm-specific measure. It provides a simple but comprehensive way to identify accurate analysts.     

Strategy,Valuation, and Forecast Accuracy: Evidence from Italian Strategic Plan Disclosures

Using a sample of 264 strategic plan presentations by Milan Stock Exchange firms during 2001–2012, we present evidence of both a security price reaction and an increase in the accuracy of analysts’ earnings forecasts pursuant to plan disclosure. In the cross-section, the information content of the plan disclosures and the accuracy increase are incrementally associated with the extent of forward-looking narrative disclosures in the plan, after controlling for other disclosures within and outside the plan presentation and the fact that the firm has self-selected into the sample. Both quantitative and qualitative narrative disclosures are informative to investors and analysts. The results are driven by narrative disclosures about company strategy and action plans rather than about the business environment in which the company operates. Our study informs the current debate on the use of voluntary comprehensive, integrated, long-run-oriented strategic plan disclosure as a potential complement for disclosures such as quarterly earnings forecasts that have been described as an example of ‘short-termism’.     

Forecasts in times of crises

Financial crises pose unique challenges for forecast accuracy. Using the IMF’s Monitoring of Fund Arrangements (MONA) database, we conduct the most comprehensive evaluation of IMF forecasts to date for countries in times of crises. We examine 29 macroeconomic variables in terms of bias, efficiency, and information content to find that IMF forecasts add substantial informational value, as they consistently outperform naive forecast approaches. However, we also document that there is room for improvement: two-thirds of the key macroeconomic variables that we examine are forecast inefficiently, and six variables (growth of nominal GDP, public investment, private investment, the current account, net transfers, and government expenditures) exhibit significant forecast biases. The forecasts for low-income countries are the main drivers of forecast biases and inefficiency, perhaps reflecting larger shocks and lower data quality. When we decompose the forecast errors into their sources, we find that forecast errors for private consumption growth are the key contributor to GDP growth forecast errors. Similarly, forecast errors for non-interest expenditure growth and tax revenue growth are crucial determinants of the forecast errors in the growth of fiscal budgets. Forecast errors for balance of payments growth are influenced significantly by forecast errors in goods import growth. The results highlight which macroeconomic aggregates require further attention in future forecast models for countries in crises.     

Population forecasting theory,methods and assessments of accuracy. The magnitude of error due to different vital processes in population forecasts

The accuracy of population forecasts depends in part upon the method chosen for forecasting the vital rates of fertility, mortality, and migration. Methods for handling the stochastic propagation of error calculations in demographic forecasting are hard to do precisely. This paper discusses this obstacle in stochastic cohort-component population forecasts. The uncertainty of forecasts is due to uncertain estimates of the jump-off population and to errors in the forecasts of the vital rates. Empirically based of each source are presented and propagated through a simplified analytical model of population growth that allows assessment of the role of each component in the total error. Numerical estimates based on the errors of an actual vector ARIMA forecast of the US female population. These results broadly agree with those of the analytical model. This work especially uncertainty in the fertility forecasts to be so much higher than that in the other sources that the latter can be ignored in the propagation of error calculations for those cohorts that are born after the jump-off year of the forecast. A methodology is therefore presented which far simplifies the propagation of error calculations. It is noted, however, that the uncertainty of the jump-off population, migration, and mortality in the propagation of error for those alive at the jump-off time of the forecast must still be considered.     

Modelling multi‐period inflation uncertainty using a panel of density forecasts

This paper examines the determinants of inflation forecast uncertainty using a panel of density forecasts from the Survey of Professional Forecasters (SPF). Based on a dynamic heterogeneous panel data model, we find that the persistence in forecast uncertainty is much less than what the aggregate time series data would suggest. In addition, the strong link between past forecast errors and current forecast uncertainty, as often noted in the ARCH literature, is largely lost in a multi‐period context with varying forecast horizons. We propose a novel way of estimating ‘news’ and its variance using the Kullback‐Leibler information, and show that the latter is an important determinant of forecast uncertainty. Our evidence suggests a strong relationship of forecast uncertainty with level of inflation, but not with forecaster discord or with the volatility of a number of other macroeconomic indicators. Copyright © 2006 John Wiley & Sons, Ltd.     

Private conversation matters: Evidence from sell-side analyst reports after private meetings

Using a manually collected database of Shenzhen Stock Exchange listed firms from 2013 to 2015, we examine the key characteristics of firms’ private meetings and their effects on analysts’ reports. We show that the presence of managers, a smaller number of meeting participants, and discussing questions in more categories are associated with more accurate and less optimistic short-term forecasts during the hosting periods following the meeting. Our results suggest that private and small group conversations between managers and analysts can be significant information channels in these meetings. In particular, we show that the short-term earnings forecast is more accurate and less optimistic during hosting periods after these meetings in general, but recommendations are still biased upwardly. These results are robust regardless of whether the analyst attend meetings or whether the meeting is hold onsite, providing further evidence that private conversations with managers may be a more effective information channel than observing firms’ operations during site visits.     

Forecast Encompassing and Parameter Estimation*

A desirable property of a forecast is that it encompasses competing predictions, in the sense that the accuracy of the preferred forecast cannot be improved through linear combination with a rival prediction. In this paper, we investigate the impact of the uncertainty associated with estimating model parameters in‐sample on the encompassing properties of out‐of‐sample forecasts. Specifically, using examples of non‐nested econometric models, we show that forecasts from the true (but estimated) data generating process (DGP) do not encompass forecasts from competing mis‐specified models in general, particularly when the number of in‐sample observations is small. Following this result, we also examine the scope for achieving gains in accuracy by combining the forecasts from the DGP and mis‐specified models.     

Voluntary adoption of non-local GAAP in the European Union: A study of determinants and consequences

Abstract

This study examines the determinants and consequences of voluntary adoption of non-local accounting principles (non-local GAAP) by firms listed and domiciled in the European Union (EU). We restrict ourselves to the two predominant internationally accepted sets of accounting standards: International Accounting Standards (IAS) and United States generally accepted accounting principles (US GAAP). We have used various sources to identify EU firms that use non-local GAAP. We examine the 1999 annual reports of all these firms, because accounting standard choices in more recent years may be affected by the announcement of the proposal by the European Commission in February 2001 to mandate IAS usage from 2005 on. The maintained hypothesis is that firms that voluntarily adopt IAS or US GAAP expect to experience net benefits from adoption. The finding that 133 non-financial firms in the EU voluntarily used non-local GAAP in 1999 suggests that the majority of listed EU firms does not expect to benefit from non-local GAAP adoption. By studying the characteristics of non-local GAAP adopters this study provides insight into the determinants of non-local GAAP adoption. We find that firms voluntarily using non-local GAAP are more likely to be listed on a US exchange, the EASDAQ exchange in Brussels, and have more geographically dispersed operations. Furthermore, they are more likely to be domiciled in a country with lower quality financial reporting and where IAS is explicitly allowed as an alternative to local GAAP. We also study whether non-local GAAP adopters have lower levels of information asymmetry, a much cited benefit of using more transparent financial reporting, than non-adopters. We examine three proxies for information asymmetry: analyst following, cost of equity capital, and uncertainty among analysts and investors (forecast dispersion and stock return volatility). We document a positive effect of non-local GAAP adoption on analyst following, but fail to find evidence of a lower cost of capital for non-local GAAP adopters. Contrary to expectations, uncertainty among analysts and investors appears to be higher for firms using IAS or US GAAP than for firms using local GAAP. However, by comparing ‘early’ and ‘late’ adopters, we find some evidence that suggests that benefits take some time to fully materialise.