Differences in the valuation of earnings and book value: Regulation effects or industry effects?

This paper uses a valuation framework on a sample of firms from four European countries (France, Germany, Netherlands, and United Kingdom) to examine how income, accruals, and book value of equity are perceived by the respective capital markets. Our model includes adjustments for industry effects and taking into account the linear information dynamics of the accounting variables posited in the Ohlson model. Consistent with previous researchers, we find that both earnings and book value of equity have valuation implications and that there is significant dispersion in the country-specific and industry-specific valuation multiples. However, when using accounting variables to forecast market values we find that industry-specific valuation multiples reduce forecasting error more than country-specific ones.     

An International Analysis of Historical and Forecast Earnings in Accounting-Based Valuation Models

Abstract:  In this paper we examine whether the valuation properties of historical accounting amounts, namely earnings and equity book value, differ from those of forecasted earnings for firms in 17 developed countries classified into six accounting regimes. We compare the performance of a historical model and a residual-income forecast model for explaining security prices. The historical model uses the book value of equities and actual historical earnings and the forecast model uses the book value of equities and analysts' forecasts of earnings in the residual income for estimating the intrinsic value of the firm. The results suggest that book values, historical earnings or forecasted earnings are value relevant in most regimes and countries examined. The forecast model offers significantly greater explanatory power for security prices than the historical model in the Anglo-Saxon and North American countries, Japan, Germany, and three Nordic countries. The explanatory power of the historical model is similar to that of the forecast model in the Latin countries, two Nordic countries, and Switzerland. We find that the forecast model performs similarly to the historical model where financial analysts' forecasts are noisy and analysts are less active. Further results indicate that the forecasted earnings are more value-relevant than the historical earnings in countries with stronger investor protection laws, less conservative GAAP, greater income conservatism, and more transparent accounting systems.     

Is the accuracy of stock value forecasting relevant to industry factors or firm-specific factors? An empirical study of the Ohlson model

This study develops a methodology to incorporate industry and firm-specific factors into the Ohlson (Contemp Account Res 11:661–687, 1995). Residual income valuation model (RIM) and applies a time- series approach instead of the cross-sectional regression models used by existing studies. This method provides neglected valuation information when analysts’ earnings forecasts are used. The results suggest that it improves the accuracy of stock value forecasting. The inclusion of the two factors increases the forecasting ability of RIM. Furthermore, the relative importance of the two factors varies across industries. Firm-specific factors are relevant to the accuracy of stock value forecasting for three large industries (finance and insurance, electronics, building, construction and materials), whereas industry factors play a dominant role in determining the accuracy for small industries (automobile and paper). These results imply that either industry or firm-specific factors serve as crucial determinants in stock value forecasting for the five industries. In practice, investors can consider one or both of the two factors when implementing RIM to forecast stock value.     

Equity Valuation Using Multiples

We examine the valuation performance of a comprehensive list of value drivers and find that multiples derived from forward earnings explain stock prices remarkably well: pricing errors are within 15 percent of stock prices for about half our sample. In terms of relative performance, the following general rankings are observed consistently each year: forward earnings measures are followed by historical earnings measures, cash flow measures and book value of equity are tied for third, and sales performs the worst. Curiously, performance declines when we consider more complex measures of intrinsic value based on short-cut residual income models. Contrary to the popular view that different industries have different "best" multiples, these overall rankings are observed consistently for almost all industries examined. Since we require analysts' earnings and growth forecasts and positive values for all measures, our results may not be representative of the many firm-years excluded from our sample.     

Comparing the Value Relevance of Two Operating Income Measures

Prior research has shown that pro-forma (recurring operating) earnings reported by managers and analysts are more value relevant than GAAP net income. Since GAAP net income contains many non-operating items that reduce its value relevance compared to operating earnings, comparing the value relevance of GAAP net income with operating earnings unduly favors operating earnings. We show that operating earnings reported by managers and analysts are more value relevant than a measure of operating earnings derived from firms' financial statements, as reported by Standard and Poor's. Our evidence is important because it indicates that operating earnings reported by managers and analysts contain value relevant information beyond that provided by operating earnings obtained by sophisticated users from firms' financial statements.     

Searching for value relevance of book value and earnings: a case of premium versus discount firms

We examine the premium/discount firm characteristic that fundamentally affects the value relevance of two key accounting line items, earnings and book values. We argue that from the perspective of both the residual income and option-style valuation models, the relative valuation roles of earnings and book values differ fundamentally between firms that trade at a premium vis-à-vis discount to book value. We find that book values play a significantly more important role in equity valuation than earnings when firms trade at a discount. We also find that other known influential conditions, such as the sign of earnings (Collins et al. in Acc Rev 74(1):29–61, 1999) or the relative levels of earnings and book value (Burgstahler and Dichev in Acc Rev 72(2):187–215, 1997), become inconsequential when the premium/discount condition of the firm is controlled for. The discovered relationships between the relative valuation roles of book values and earnings and the discount/premium characteristics of the firm are robust to the effect of time, information environment and the industry of the firm.     

A Fundamental Analysis Approach to Oil and Gas Firm Valuation

Most fundamental analysis studies have focused on fundamentals selected by a data-driven approach on large samples of firms from numerous industries. This paper reports the results of a fundamental analysis of a single industry, the US oil and gas exploration and production industry, using variables identified by industry financial analysts. The results demonstrate a significant relationship between a number of the fundamentals with both the market value of equity and cumulative stock return. The results also suggest that the fundamentals provide incremental information beyond earnings, change in earnings, and book value of equity when explaining equity values and stock returns.     

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.     

Taxable income,future profitability,and stock returns

Prior research suggests that investors behave ‘as if’ taxable income contains information about future performance by providing evidence of a positive association between taxable income and stock returns. We draw on the fundamental analysis literature and provide direct evidence on this assertion by examining whether taxable income predicts future pretax performance. We find that taxable income positively predicts future pretax cash flows, pretax book income, and ‘Street’ pretax earnings, suggesting that taxable income provides incremental information to book income regarding performance. Moreover, we find a positive association between taxable income and analysts’ pretax forecasts, consistent with analysts utilizing the information in taxable income when forming earnings expectations. We do not find an association between taxable income and future analyst forecast errors, implying analysts do not overreact or underreact to taxable income's performance signal. Overall, we find that taxable income provides a signal of fundamental value and corroborate the implications of prior research.     

Fair Value‐related Information in Analysts’ Decision Processes: Evidence from the Financial Crisis

We use a sample of conference calls and analyst research reports from international banks to examine how financial analysts request and communicate fair value‐related information in their valuation process. We find that analysts devote considerable attention to fair value‐related topics. Most of the conference call questions and references in research reports pertain to fair value reclassifications and fair value changes of liabilities resulting from banks’ own credit risk. The accounting impact of these one‐time effects during the financial crisis and a lack of corresponding firm disclosures help to explain the prevalence of these two topics. The content of the questions and references suggests that analysts have different motives for their interest in fair value‐related information. While some analysts adjust reported earnings for unrecognised fair value changes of reclassified assets, most of the observed analysts exclude banks’ own credit risk effects from reported earnings. Thus, the use of fair value‐related information varies substantially across analysts and across instruments.     

Do Analysts Disclose Cash Flow Forecasts with Earnings Estimates when Earnings Quality is Low?

Cash flows are incrementally useful to earnings in security valuation mainly when earnings quality is low. This suggests that when earnings quality decreases, analysts will be more likely to supplement their earnings forecasts with cash flow estimates. Contrary to this prediction, we find that analysts do not disclose cash flow forecasts when the quality of earnings is low. This is because cash flow forecast accuracy depends on the accuracy of the accrual estimates and the precision of accrual forecasts decreases for firms with low quality earnings. Consequently, as earnings quality decreases, cash flow forecasts become increasingly inaccurate compared to earnings estimates. Cash flow estimates that lack reliability are not useful to investors and, consequently, unlikely to be reported by analysts. This result provides an explanation for why analysts are less likely to report cash flow estimates when earnings quality is low.     

Analysts Earnings Forecasts and the Roles of Earnings and Book Value in Equity Valuation

This study examines the effect of the degree of association between current earnings and expected future earnings on the relative importance of earnings and book value for explaining equity price. Consensus analysts forecasts of one-year-ahead earnings are used to proxy for expected future earnings and are compared to reported current earnings to measure the degree of the association. We find that the value-relevance of current earnings negatively correlates with the extent to which consensus analysts forecasts deviate from current earnings. We also find that the incremental explanatory power of book value for equity price positively correlates with this measure. These results remain robust after controlling for factors known to be affecting the value-relevance of earnings such as negative earnings and the earnings-to-book ratio. Our results also show that this analysts' forecast-based measure of `earnings persistence' dominates historical earnings variance in explaining cross-sectional variations in the value-relevance of earnings and book value.     

The valuation properties of earnings and book values reported under IAS,domestic GAAP and U.S. GAAP: Evidence from China,Hong Kong,Japan, Korea and Singapore

This paper examines whether earnings or book value is the dominant valuation accounting measure for companies reporting under alternative accounting standards — International Accounting Standards (IAS)/International Financial Reporting Standards (IFRS), U.S. Generally Accepted Accounting Principles (U.S. GAAP) or domestic accounting standards of China, Hong Kong, Japan, Korea and Singapore. Our sample consists of domestic firms in the five Asian countries and firms from these countries cross-listed in the United States as American Depositary Receipts (ADRs) from 2002 to 2011. For domestic firms, book value is more informative than earnings for firms from Hong Kong, Singapore, China, Japan and Korea during 2002–2011 although their accounting standards are influenced by different systems. For the ADR sample, book value is more informative than earnings for U.S. GAAP reporters and reconcilers during 2002–2007. However, earnings are more informative than book value for U.S. GAAP reconcilers from China. After 2007, ADRs in our sample from Hong Kong, Japan and Korea continued to file under U.S. GAAP. Some ADRs from China filed under U.S. GAAP and some filed under IFRS. Earnings are more informative than book value for IFRS users; however, book value has higher incremental value relevance than earnings for U.S. GAAP users. We contribute to prior research by providing evidence on the valuation properties based on accounting measures reported under different GAAPs for the Asian countries.     

The Value Relevance of Management Forecasts and Their Impact on Analysts' Forecasts: Empirical Evidence From Japan

A major financial disclosure feature in Japan is that stock exchanges require firms to provide next year's earnings forecasts. This study investigates the value relevance of Japanese management earnings forecasts and their impact on analysts' earnings forecasts. First, the value relevance of management forecasts is investigated using a valuation framework provided by Ohlson (2001 ), in which firm value is expressed as a function of book value, current earnings and next year's expected earnings. The analysis yields that of the three accounting variables examined, management forecasts have the highest correlation and incremental explanatory power with stock price.
Next, the impact of management forecasts on analysts' forecasts is examined. The results show that more than 90% of changes in analysts' forecasts are explained by management forecasts alone. Further analysis reveals that the heavy dependence of financial analysts on management forecasts in formulating their own forecasts may partially be attributed to the relatively high accuracy of management forecasts. At the same time, financial analysts also somewhat modify management forecasts when certain financial factors indicate that the credibility of management forecasts is in doubt.
Overall, this study presents empirical evidence that Japanese management forecasts provide useful information for the market and have a significant influence on analysts' forecasts.     

Economic Value Added,Future Accounting Earnings,and Financial Analysts' Earnings Per Share Forecasts

Empirical research to date on the relative effectiveness of Economic Value Added (EVA) and earnings per share (EPS) as measures of firm performance for stock valuation has been mixed. In contrast to prior research, which primarily focuses on the correspondence of these measures with shareholder value and changes therein, we examine their relative effectiveness in predicting future earnings and their role in enhancing the accuracy of analysts' forecasts. Our results indicate that EVA contains information that is incremental to EPS in predicting future earnings. In addition, we find that despite this potential for EVA to add incremental value to analysts' forecasts of future earnings, analysts do not use the information in reported EVA appropriately, but appear rather to overweigh it.     

Valuation with Market Multiples: How to Avoid Pitfalls When Identifying and Using Comparable Companies1

An important part of the market multiple valuation process is selecting companies for comparison that are really comparable to the company being valued. The goal of assessing comparability is to align the relevant value drivers—especially risk and growth—of the comparable companies with those of the company being valued. In this paper, the authors examine the relevant value drivers for commonly used market multiples such as EBIT and EBITDA. They show that, in addition to risk and growth, analysts doing market multiple valuations need to take account of differences in variables such as cost structure, working capital, and capital expenditure requirements when assessing comparability. The authors also show that the degree to which different value drivers are important for assessing the comparability of companies differs across commonly used market multiples. In other words, some multiples are more sensitive than others to changes in certain value drivers. For example, when using a multiple like EBITDA in which certain expenditures (such as capital investments, working capital investments, and some expenses) are not deducted in the calculation of the denominator, assessing comparability based on such expenditures is more important than when using a multiple like free cash flow that deducts that expenditure in calculating the denominator. Or to cite another example, since EBIT and EBITDA make no attempt to reflect income taxes, using income tax cost structures to assess comparability is more important for enterprise value multiples based on these measures than for enterprise value multiples based on “after‐tax” measures of income such as unlevered earnings or free cash flow. In addition, not all multiples control for differences in cost structure, such as cost of goods sold or SG&A. If a multiple is affected by differences in those value drivers, the comparable companies must be similar to the company being valued on that dimension. Finally, the authors show that differences in capital expenditure and working capital requirements can also have large effects on certain multiples; and as a result, such value drivers also must be considered when assessing comparability.     

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.     

Do accurate earnings forecasts facilitate superior investment recommendations?

We find that analysts who issue more accurate earnings forecasts also issue more profitable stock recommendations. The average factor-adjusted return associated with the recommendations of analysts in the highest accuracy quintile exceeds the corresponding return for analysts in the lowest accuracy quintile by 1.27% per month. Our findings provide indirect empirical support for valuation models in the accounting and finance literatures (e.g., Ohlson, 1995) that emphasize the role of future earnings in predicting stock price movements. Our results also suggest that imperfectly efficient markets reward information gatherers, such as security analysts, for their costly activities in generating superior earnings forecasts.     

Equity valuation in practice: The influence of net financial expenses

This study investigates the relevance of net financial expenses with respect to equity valuation in an IFRS accounting regime. According to the residual earnings valuation model, income related to balance sheet items that are recorded at fair value is not applicable for valuation purposes. There are no residual earnings associated with these items because the balance sheet provides ‘perfect’ value estimates for the items in question. In accordance with the contention that under IFRS, aggregate net financial liabilities are recorded at a book value that is close to fair value, this study demonstrates that net financial expenses are not associated with the market prices of stocks. The investigation discusses the empirical findings in light of the enduring controversies regarding the use of fair value accounting.     

The change in the value relevance of accounting information after mergers and acquisitions: evidence from the adoption of SFAS 141(R)

This study examines how and why investors change the use of their information sources in valuation between book value and earnings after mergers and acquisitions (M&A) in both pre- and post-SFAS 141(R) periods. We find that investors generally put less weight on earnings but more weight on book value after M&A than before M&A, and that such a change is particularly strong after the adoption of SFAS 141(R). By looking at goodwill, other intangible assets and other balance sheet accounts that SFAS 141(R) amended, we further find that SFAS 141(R) improves the value relevance of book value components after M&A.