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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.

The purpose of this paper is to empirically examine the financial outcomes from forage production and RI-PRF insurance interval for two locations in Nebraska. Both locations provide historical forage production and precipitation data, allowing the authors to examine the relation between RI-PRF net income and forage production.

The authors focus on evaluating the producer net income and risk (measured as variance of net income) by examining the relation between farm precipitation and production and comparing multiple insurance intervals to no insurance. Each insurance interval will likely have a different relation (basis risk) between observed production and return from insurance and, therefore, a different impact on the variance of net incomes. The impact on variance of net incomes identifies the risk-reducing aspects of RI-PRF insurance intervals. The authors then rank each scenario into four mutually exclusive zones that describe the risk-reducing effectiveness and whether the subsidy is working correctly.

The authors found both risk increasing and decreasing insurance intervals exist at both locations. One insurance scenario (low in BBR) provided the highest net income while increasing risk, suggesting a profit maximizing opportunity. RI-PRF reduces net income risk with intervals insuring during high expected precipitation (growing season); while net income risk increases with intervals insuring low expected precipitation (non-growing season, winter months). The farmer would want to insure during the high expected precipitation months, which coincides with the growing season, since RI-PRF lowers the net income risk. For the government, removing net income risk increasing intervals improves the allocation of government resources.

In this paper, the authors modeled the relation between RI-PRF interval selection using the historical forage production data at two locations in Nebraska. The use of historical forage production data allowed the authors to precisely identify the risk-reducing effectiveness of RI-PRF interval selection.

This study aims to predict the determinants of net income of 101 US university football programs.

Guided by stakeholder theory, financial capacity model and resource dependency theory, the dependent variable was net income (indicated as profit or loss) and independent variables were measured as the number of women and men’s team sports, average home attendances, win–loss records, conference ranking, endowment funds and age of football programs. Statistical analysis was performed using Kendell tau and binary logistic regression (BLR).

Net income was positively and statistically associated with home attendance, win–loss record, conference rankings and endowment funds, but not number of women’s sports, age of football program and number of men’s sports teams. The BLR indicated that home attendance was the best predictor of net income.

The research was delimited to 101 Football Bowl Subdivision football programs from public universities.

The findings indicate that home attendance and conference rankings had the highest association with net income, but the former was the best predictor of net income and not football tradition nor number of sports teams.

The study was pioneering in the predictive evaluation of the possible determinants of loss or profitability in college football programs.

With the decline of US net farm income from $123.8 billion in 2013 to $71.5 billion forecasted for 2016, concern has developed regarding the future path of agricultural land values. The purpose of this paper is to examine the relationship between net farm income, cash rents and land values in the state of Kansas and provides insight regarding future land values.

This study estimates partial adjustment models for cash rent and land values and uses those results to infer long-run capitalization rates and earnings multipliers. These models are used to forecast Kansas land values through 2018 and also the long-run price of farmland given 2016 expectations.

Land adjusts to changes in Kansas net farm income slowly with a one-year elasticity of 6.7 percent. The long-run elasticity is 96.9 percent which is very close to the 100 percent suggested by the theoretical income capitalization model. The long-run multiplier for income in Kansas is 21.71 which implies a capitalization rate of 4.61 percent. The estimated results suggest that Kansas land values would peak in 2016 and begin to slowly decline. If market conditions were to remain the same, land values would ultimately decrease to $1,171 per acre, a 28 percent decline from current levels.

Declines of the magnitude in estimated land values could negatively affect the financial condition of the sector. Factors such as a change in the long-run capitalization rate or unexpected supply or demand shocks for agricultural commodities globally could certainly alter the long-term prospects. However, current expectations as of March 2016 suggest that farmers will face difficult conditions over the next few years.

From time to time we have had occasion to refer to earnings per share in terms of the new ‘imputation’ system of company taxation. This is a somewhat complex system and we have asked our Financial Correspondent to explain in some detail what is involved. In attempting an explanation, he has found it useful to compare the present system not only, as others have done, with the preceding corporation tax system inaugurated by Mr Callaghan in his 1965 Budget, but also with the earlier profits‐cum‐ income tax system. There are of course many other systems of company taxation, but for purposes of explanation a comparison of the three systems — profits‐plus‐income tax, the Callaghan‐type corporation tax, and the imputation system—is sufficient.

The last 20 years have seen a significant evolution in the literature on horizontal inequity (HI) and have generated two major and “rival” methodological strands, namely, classical HI and reranking. We propose in this paper a class of ethically flexible tools that integrate these two strands. This is achieved using a measure of inequality that merges the well-known Gini coefficient and Atkinson indices, and that allows a decomposition of the total redistributive effect of taxes and transfers into a vertical equity effect and a loss of redistribution due to either classical HI or reranking. An inequality-change approach and a money-metric cost-of-inequality approach are developed. The latter approach makes aggregate classical HI decomposable across groups. As in recent work, equals are identified through a non-parametric estimation of the joint density of gross and net incomes. An illustration using Canadian data from 1981 to 1994 shows a substantial, and increasing, robust erosion of redistribution attributable both to classical HI and to reranking, but does not reveal which of reranking or classical HI is more important since this requires a judgement that is fundamentally normative in nature.

The Financial Accounting Standards Board (FASB) has recently issued Statement of Financial Accounting Standards, (SFAS) No. 130, Reporting Comprehensive Income. That Statement requires companies to report a comprehensive income measure, which includes net income and net‐of‐tax adjustments for changes in unrealized gains/losses on securities, foreign currency gain/loss adjustments, and minimum pension liability adjustments.These latter adjustments were previously reported directly in the stockholders’ equity section of the statement of financial position. This paper analyzes the effects of comprehensive income disclosures for 100 randomly selected Fortune 500 companies. Comprehensive income was computed for these companies and compared with re‐ported net income to determine the number and significance of these other comprehensive income adjustments.The results indicate that a large number of firms may report a comprehensive income amount different from reported net income. Although these differences may be significant for some firms, the majority of these adjustments will not cause comprehensive income to be materially different from reported net income for most firms.