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This study investigates the incremental value‐relevance of non‐pension postretirement benefit obligations and expenses (disclosed by firms pursuant to SFAS 106). Our study is motivated by previously published evidences that investors value the SFAS 106 measure of postretirement benefit obligations. However, prior research does not address incremental value‐relevance of the SFAS 106. We address two related questions. First, “do the SFAS 106 measures of non‐pension postretirement benefit obligations and expenses provide incremental value relevance (after controlling for information available from non‐SFAS 106 sources).” Second, “under what circumstances are the SFAS‐106 measures more likely to provide incremental value relevance.” The key findings of this paper are: (i) on average, SFAS 106 measures of postretirement benefit obligations and expenses have no significant incremental value‐relevance after controlling for non‐SFAS 106 information; and (ii) labor intensity and the magnitude of postretirement benefit obligation increases the incremental value‐relevance of SFAS 106 measures.

In contrast to earlier studies, the most recent studies on the incremental value relevance of earnings and cash flows from operations find that both earnings and cash flows have incremental value relevance beyond each other. An interesting question that follows is whether these findings hold after controlling the extremity of earnings and cash flows. This study, therefore, aims to examine the incremental value relevance of earnings and cash flows in the following four cases: moderate earnings and moderate cash flows, moderate earnings and extreme cash flows, extreme earnings and moderate cash flows and extreme earnings and extreme cash flows.

To evaluate the incremental value relevance (information content) of earnings and cash flows for each of the four cases mentioned above, we examine the statistical significance of the slope coefficients for regression of returns on both unexpected earnings and unexpected cash flows from operations.

The results show that (i) both moderate and extreme earnings have incremental value relevance beyond both moderate and extreme cash flows, (ii) moderate cash flows have incremental value relevance beyond both moderate and extreme earnings and (iii) extreme cash flows lack incremental value relevance beyond moderate earnings; however, they (extreme cash flows) have incremental value relevance beyond extreme earnings. These results suggest that earnings and cash flows have incremental value relevance. However, only in cases when cash flows are extreme and earnings are moderate, cash flows do not possess incremental value relevance. In further analysis, we find that the value relevance for cash flows and earnings decreases when they are extreme and transitory. Moreover, the value relevance for cash flows increases when they are moderate (not extreme) and the other competing measure (earnings) is transitory and extreme.

The results support the idea that earnings and cash flows from operations complement each other in explaining variation in returns. However, when cash flows are extreme and less informative, investors rely more on earnings in firm valuation, especially when earnings are moderate. Because earnings are unlikely to persist to be permanent across the years, these results can be interpreted as indicating that cash flows and earnings information are used jointly by investors.

In contrast to previous studies, we control for the extremity of earnings and cash flows when evaluating the incremental value relevance of earnings and cash flows from operations.

The purpose of this study is to investigate the role of book values, earnings, and future earnings in equity valuation by time, life cycle stage, and market uncertainty using samples of USA and Japanese companies.

This study employs Lubberink and Willett (2021) methodology in using log-linear models to estimate the value relevance of accounting numbers and follows Schaberl (2016) approach to measure %incremental value relevance. The study also includes future earnings in a basic valuation model (Ohlson, 1995) to explore the extent to which stock prices are forward looking.

This study finds a significant increase by time in the relative value relevance of a combined model with book values and earnings and a combined model with future earnings for both countries. However, the incremental value relevance of book values, earnings, and future earnings remain stable over time. The results by life cycle stage indicate that incremental value relevance of future earnings and earnings are more (less) pronounced for firms in the intro (mature) life cycle stage while the incremental value relevance of book values is highest for firms in the decline stage for both countries. The results by market uncertainty indicate that firms with high market uncertainty display higher incremental value relevance of book values for both countries. The results on future earnings are mixed as USA (Japan) firms with high (low) market uncertainty display more (less) incremental value relevance of future earnings.

The findings in this study enhance the merits of two basic financial statements (balance sheet and income statement) in a firm's equity valuation for potential investors and existing shareholders and document an additional role of future earnings information in reflecting a firm's stock price, which is beyond what book values and current earnings have already contributed.

This is the first study that uses log-linear models to estimate the value relevance of accounting numbers and investigates value relevance of accounting information in three views: time, life cycle stage, and market uncertainty.

Previous researches on credit scoring mainly focussed on static modeling on panel sample data set in a certain period of time, and did not pay enough attention on dynamic incremental modeling. The purpose of this paper is to address the integration of branch and bound algorithm with incremental support vector machine (SVM) ensemble to make dynamic modeling of credit scoring.

This new model hybridizes support vectors of old data with incremental financial data of corporate in the process of dynamic ensemble modeling based on bagged SVM. In the incremental stage, multiple base SVM models are dynamically adjusted according to bagged new updated information for credit scoring. These updated base models are further combined to generate a dynamic credit scoring. In the empirical experiment, the new method was compared with the traditional model of non-incremental SVM ensemble for credit scoring.

The results show that the new model is able to continuously and dynamically adjust credit scoring according to corporate incremental information, which helps produce better evaluation ability than the traditional model.

This research pioneered on dynamic modeling for credit scoring with incremental SVM ensemble. As time pasts, new incremental samples will be combined with support vectors of old samples to construct SVM ensemble credit scoring model. The incremental model will continuously adjust itself to keep good evaluation performance.

The Accounting Standards Board of Japan (ASBJ) proposed a new set of endorsed International Financial Reporting Standards in June 2015. ASBJ claims that non-recycling of other comprehensive income (OCI) items decreases the information usefulness of earnings in a proposed comprehensive income standard. There has been no existing empirical evidence which supports the ASBJ’s statement and the purpose of the study is to test whether OCI recycling improves information usefulness of net income from six perspectives: relative and incremental value relevance, persistence, variability, operating cash flow and net income predictive power.

This paper is an empirical work using a listed Japanese firms sample of 5,385 firm-years from fiscal year 2012-2014.

The results challenge the ASBJ’s claim that recycling improves the general information usefulness characteristics of net income. The empirical results show that OCI recycling improves net income’s relative value relevance characteristic of financial firms. However, recycling information by itself does not improve the incremental value relevance, and the predictive power of operating cash flow and net income. The authors also find that the inclusion of recycling decreases the persistence and increases the variability of net income.

This paper has two research limitations. First, this study is constrained to analyze a limited OCI recycling data that is recently disclosed by listed Japanese firms. Second, the results of this study have limited external validity to capital markets with OCI reclassification standards that deviate from Japanese GAAP.

This study provides initial empirical evidence that examines information usefulness of OCI recycling in Japan. The findings of this study are relevant for accounting standards setters aiming to increase the information usefulness of earnings for capital market investors.

This study implements inflation adjustments, as proposed by International Accounting Standard 15 (IAS15), to determine an inflation‐adjusted version of Economic Value Added (EVA). The relationships between the nominal (EVAnom) and inflation‐adjusted (EVAreal) versions of EVA, and market‐adjusted share returns are investigated, and compared with those of residual income, earnings and operating cash flow. Relative information content tests suggest that earnings have the strongest relationship with share returns, while the results of the incremental tests indicate that the EVAnom and EVAreal components do not provide statistically significant information content beyond that provided by residual income.

The main objective of this study is to examine the claim of economic value added (EVA) proponents about its superiority as a financial performance measure compared to five traditional performance measures, i.e. net operating profit after tax (NOPAT), cash flow from operations (OCF), earnings per share (EPS), return on capital employed (ROCE) and return on equity (ROE) in Indian manufacturing sector, and simultaneously provide its empirical evidences. To achieve this, relative and incremental information content of various performance measures and their relationship with market value added (MVA) is tested and examined.

Principal component analysis (PCA) is one of the important multivariate methods utilized in business research for data reduction, latent variable modeling, multicollinearity resolution, etc. The present sample consists of 608 firm‐year observations from the Indian manufacturing sector for the period 2000‐2007. Firstly, principal component analysis (PCA) is employed to determine the important variables that explain market value. Secondly, alongside PCA, multiple regression models (OLS) are used to examine the relative and incremental information content of EVA and traditional performance measures.

These results about PCA reveal that variables like NOPAT, OCF, ROE, ROCE and EVA have maximum influence on the market value (MVA) of the sample companies, whereas EPS has a negative loading, so, EPS is discarded for further analysis. Further, the PCA loading matrix reveals that NOPAT, OCF, ROE and ROCE outscore EVA. The regression results regarding the relative information content test reveal that NOAPT and OCF outperform EVA in explaining the market value of Indian companies. The incremental information content test shows that EVA makes a marginal contribution to information content beyond NOPAT, OCF, ROCE and ROE. Overall, these empirical results about Indian companies do not support the Stern Stewart hypothesis that EVA is superior to traditional accounting‐based measures in association with market value of the firm.

The study concludes that along with financial variables, other non‐financial variables such as employees, product quality, etc., should be considered in order to capture the unexplained variation in the market value of Indian companies.

The study aims to examine the role of unrealized gains and losses recognized under international accounting standards (IAS) 39 in explaining stock prices for investment companies listed on the Kuwait Stock Exchange (KSE), and how the inclusion of unrealized gains and losses in income numbers affect the incremental explanatory power of earnings.

The study utilizes Ohlson’s (1995) valuation model combined with a technique developed by Theil (1971) that has been applied in several prior studies.

The results of the cross-sectional regression indicate that net income and book values jointly and individually are positively and significantly related to stock prices; the incremental information content of net income is greater than that of book values; the inclusion of unrealized gain in income numbers increases the explanatory power of the model; and the incremental information content of net income before unrealized gains and losses is lower than that of book value. Thus, including unrealized gains and losses from investment in net income enhances the incremental information content of earnings. Our overall results show that unrealized gains and losses play an important role in explaining stock prices for investment companies in Kuwait, and that including them in the income numbers increases the incremental explanatory power of earnings.

This study is original because it is the first to empirically investigate the role of unrealized gains and losses recognized under IAS 39 in explaining stock prices for investment companies listed on the KSE and how the inclusion of unrealized gains and losses in income numbers affect the incremental explanatory power of earnings.

Explains that Canada is currently deciding whether to harmonize with US or international accounting standards and whether to allow Canadian SEC registrants to file their financial statements using US standards, outlines previous research on the information content of US/Canadian differences and tests the relative and incremental information content of 156 interlisted firms 1996‐1998. Explains the methodology and presents the results, which suggest that there is little difference in the relative information content of the two sets of standards although each provides information incremental to the other. Concludes that investors will not be harmed either by harmonization or by allowing financial reporting under US standards.

The purpose of this paper is to examine, in the context of movement towards a fair‐value based pension accounting standard, the value relevance of both recognized and disclosed pension accounting information.

Using hand‐collected data from Fortune 200 firms, this study includes both recognized and disclosed pension accounting measures (aggregated and disaggregated) in multivariate regression models. The investigation employs tests of relative and incremental value relevance in both equity and credit rating evaluation contexts.

Findings indicate that pension information recognized under a fair‐value‐based accounting model is no more or less value relevant than pension information recognized under the SFAS 87 model. Also, the disclosed off‐balance sheet pension amount is incrementally value relevant for determining share prices. However, it is not value relevant for the credit rating decision.

This study tests the relevance and reliability of accounting information jointly. Theoretically, however, relevance and reliability affect information usefulness and, thus, valuation decisions independently.

This paper yields a number of significant implications for standard setters. The unique evidence that investors apply off‐balance sheet pension amounts in the equity valuation context implies that required recognition under a fair‐value standard may not provide a significant incremental benefit over DB plan disclosures. However, such a standard may yield potential improvements in the credit rating decision context and may be much more likely to impact credit rating decisions going forward. Considering the continued shift towards fair‐value‐based pension accounting standards internationally, recognizing transitory elements of fair‐value pension cost separately from operating income is essential for mitigating any potential loss in value relevance.