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The purpose of this paper is to examine the relative and incremental information content of a cash recovery‐based measure of performance, the estimated internal rate of return, vs an earnings‐based measure of performance, return on assets, in explaining firms' economic performance.

The paper uses the cash recovery rate that is based on continuous time analysis and U‐shaped cash flows to derive the estimated internal rate of return and compare it to return on assets. A cross‐sectional sample was used over a short interval (year 1993 and year 2005) and a time‐series sample (1993‐2005) to empirically examine the relative and incremental information content of the competing measures. Tobin's q and stock returns are used as performance benchmarks.

The results of the empirical tests indicate that the estimated internal rate of return provides better relative and incremental information content over earnings‐based measures of performance. Specifically, the empirical evidence shows that the estimated internal rate of return is consistently positively related to Tobin's q and stock returns over all measurement intervals.

These results imply that earnings‐based performance measures are less value relevant compared to cash recovery‐based measures. There are some limitations that may apply to this study. First, the systematic measurement error in estimating the cash recovery rate may not be independent of the measurement error in the estimated internal rate of return. Second, the performance benchmarks used in the study are not free from problems. Particularly, the return on assets is influenced by firms' rate of growth and the Tobin's q is not a perfect measure of business performance. Therefore, one avenue of future research is to assess the usefulness of financial accounting data for analysts forecast. Moreover, future research may also examine the role of institutional changes in financial reporting and its effect on the quality of earnings and economic performance.

This paper presents extended research on cash recovery‐based vs earnings‐based metrics as proxies for economic return using improved research designs, larger samples and new sensitivity analyses.

Purpose: This study analyses how investments and specific financial factors affect the financial performance of businesses in Kosovo. Exploring the relationship between investments and financial performance and their impact on performance volatility, performance is assessed using return on assets (ROA) and return on equity (ROE) investments.

Methodology: Quantitative methods using secondary data from audited financial statements of Kosova manufacturing and commercial enterprises cover a 3-year period (2019–2021), involving 40 enterprises with 120 observations. Statistical tests such as descriptive statistics, correlation analysis, linear regression, Hausman–Taylor regression, fixed effects, random effects, and generalised estimating equations (GEE) model are applied. The study also utilises ARCH–GARCH analysis to assess the relationship between investments and performance volatility.

Findings: Investments positively impact the financial performance of Kosova businesses and significantly reduce performance volatility. Long-term liabilities, retained earnings, and short-term liabilities also play a role in reducing asset return volatility, while cash flow from financial activities increases it. Investments, cash flows from financial activities, long-term liabilities, short-term liabilities, retained earnings, and solvency affect equity return volatility.

Practical Implications: The study sheds light on how investments and financial factors influence the financial performance and volatility of Kosova businesses. Policymakers can use these insights to create policies that foster the development of commercial and manufacturing enterprises, given their importance in Kosovo’s economy.

Significance: This research provides valuable insights for business managers to enhance investment strategies and improve financial performance. Policymakers can rely on this academic study to enhance the economic environment and promote the growth of businesses in Kosovo.

This paper demonstrates that present value (PV) models can be viewed as multiperiod extensions of accrual income statements (AISs). Failure to include AIS details in PV models may lead to inaccurate estimates of earnings and rates of return on assets and equity and inconsistent rankings of mutually exclusive investments. Finally, this paper points out that rankings based on assets and equity earnings and rates of return need not be consistent, requiring financial managers to consider carefully the questions they expect PV models to answer.

AISs are used to guide the construction of PV models. Numerical examples illustrate the results. Deductions from AIS definitions demonstrate the potential conflict between asset and equity earnings and rates of return.

PV models can be viewed as multiperiod extensions of AISs. Mutually exclusive rankings based on assets and equity earnings and rates of return need not be consistent.

PV models are sometimes constructed without the details included in AISs. The result of this simplified approach to PV model construction is that earnings and rates of return may be miscalculated and rankings based as asset and equity earnings and rates of return are inconsistent. Tax adjustments for asset and equity earnings may be miscalculated in applied models.

This paper provides guidelines for properly constructing PV models consistent with AISs.

PV models are especially important for small to medium size firms that characterize much of agricultural. Providing a model consistent with AIS construction principles should help financial managers view the linkage between building financial statements and investment analysis.

This is the first paper to develop the idea that the PV model can be viewed as a multiperiod extension of an AIS.

Our chapter raises serious questions about the long-term efficiency of stock prices in relation to the realized returns of the underlying corporate real assets. In our large-scale calculations that cover horizons of 10, 20, 30, 40, and 50 years, returns on corporate real assets suffer a long-term decline, and have been below the yields of 10-year Treasury bonds since 1973. Real assets that received more external financing from capital markets and institutions actually report even lower realized long-term returns. The decline in realized returns cannot be attributed to declining risks as the volatilities of realized returns have been increasing over time. These surprising results may stimulate fresh debate on the roles and long-term performance of capital markets and institutions.

This study is conducted to determine the factors that affect profitability in Chinese listed companies (by using financial ratios). Four independent variables liquidity, intangible assets, working capital and company leverage were empirically tested for their relationships with profitability besides two control variables which are firm size and company efficiency.

This study used secondary data extracted manually from the annual reports of non-financial Chinese listed companies on the Shanghai stock exchange (http://www.szse.cn/); the data set covers 100 companies during the period of 2017–2019, and a random selection method was used in order to achieve credibility and fairness as much as possible.

The findings show firm size, working capital and intangible assets have positive and significant relationships with profitability [return on assets (ROA) and earnings per share (EPS)]. Positive working capital is important to lower the cost of capital and improve companies' profitability. Intangible assets are also an essential source to improve profitability due to their low costs. In addition, the findings display a negative and strong relationship between liquidity and profitability, meaning that companies suffer low profit due to inefficient use of liquid items. Interestingly, leverage, which is measured by debt ratio and leverage ratio, shows mixed results; debt ratio shows a positive and strong association with ROA but not with EPS; while leverage ratio displays a strong but negative association with ROA but not with EPS. These results confirm the inverted U-shape relationship between leverage and profitability, which depends on the balance between benefit and cost of debt.

Profitability is also important for employees and society where business organization provides sustainability and stability for both of them. Employees can then significantly contribute to achieve higher firm's profitability by efficiently using firm's resources.

This study differs than previous studies in number of aspects: First, this study focuses on financial ratios to explain profitability in Chinese companies. This study provides empirical results about the factors connected to profitability and help stakeholders to make their right decisions. Second, it examines the impact of four independent factors and two control variables that some of them are new in Chinese context such as intangible assets. Third previous studies focus on financial industry such as banks; however, this study focuses on non-financial industry.

Performance plans, a form of executive compensation plan, are designed to reward management for improved performance over the long run. Various accounting measures can be used to evaluate this performance: return on assets (ROA), return on equity (ROE), and earnings per share (EPS) are examples. This study employs these, as well as cash flow measures, on a sample of matched performance plan adopting and control firms to examine whether there is a difference in performance associated with the adoption of a plan. The results indicate that adopting firms display significantly greater growth in ROA, ROE, and working capital from operations to total assets (WCFO) than do control firms. This result continues to hold for ROE, but not ROA or WCFO, after controlling for economy‐wide growth.

The purpose of the paper is to explore the impact of board size on the accounting returns and asset quality of Indian banks.

This paper uses ordinary least squares regression, robust regression and panel data methods for estimation, based on data collected for a sample of 29 Indian banks that are listed on the National Stock Exchange (NSE) and form part of the NSE-500 index over a period of eight financial years 2009-2016. The data pertaining to the board size of the sample banks is collected from the annual reports of banks, whereas the data relating to return on assets (ROA) and ratio of the gross non-performing assets to total assets and control variables (bank age and bank size) is extracted from ACE Equity database.

This paper concludes that the size of the governing board has a positive impact on the accounting returns (measured through ROA) of the Indian banks. Further, board size is observed to be insignificant in determining the asset quality of Indian banks.

This paper contributes to the literature and practitioners in a number of ways. First, to the best of the authors’ knowledge, this is the first study on the impact of board size on the accounting returns and asset quality of Indian banks. The findings of the study contribute new theoretical insights to the body of knowledge on the influence of the size of the board, which may be useful for future researchers. Second, banks may enhance their financial performance by taking cognizance of the findings of this study. Finally, equity investors may make use of the findings of this article in deciding on whether to invest in a bank’s stock/lend to the bank based on board size of the bank.

In this chapter, we perform more detailed analyses and present the distribution characteristics and risk-return relationships of accounting-based financial returns (ROA) across different industry contexts and between periods with different economic conditions. We first display the frequency diagrams of the return measure (ROA) and its two components, net income and total assets, that show entirely different contours in the density graphs that must be reconciled. This is partially accomplished by analyzing the skewness, kurtosis, cross-sectional, and longitudinal risk-return characteristics of each of the three variables. The analyses further considers potential effects of accounting manipulation, and different organizational and executive traits, that identifies significant effects on the accounting-based return measures. We find extremely left-skewed return distributions with high negative correlations between the average return and risk measures, which reproduces the “Bowman paradox” as originally conceived. The same analysis is performed on net income and operating cash flows, the latter being less susceptible to accounting manipulation, which should display similar effects even though these performance distributions show positive skewness. We find negative but insignificant cross-sectional risk-return relations that nevertheless reappear in analyses performed within the specific industry contexts. The study further uncovers effects from prevailing economic conditions where left-skewness and kurtosis as well as negative risk-return correlations are much more significant during periods of high economic growth and business expansion where competition is more pronounced.

The purpose of this paper is to explore the impact of financial regulation policy uncertainty (FRPU) on bank profit and risk.

This study applies dynamic panel techniques and uses the Baker et al. (2016) FRPU index and macroeconomic variables to assess FRPU’s impact on bank profit and risk using Federal Deposit Insurance Corporation call reports from Q1 2000 to Q4 2016 for over 4,760 commercial banks.

The effect of FRPU on profitability (Return on Assets [ROA] and Return on Equity [ROE]) and risk (standard deviation of ROA and ROE) produces complex results. FRPU negatively (positively) impacts profits for small and large banks (money center banks). There is a positive impact on FRPU for small and medium-sized banks, with no impact reported for the large and money center banks.

Findings lead to several implications for financial services regulators, investors and executives as summarized in the conclusion. It is essential to ensure that clear communication channels are open especially to small and medium-sized banks for proper strategic planning, given their greater sensitivity to regulatory uncertainty.

This paper contributes to the literature as follows. First, it explores the impact of FRPU on bank profits and risk using a novel index introduced by Baker et al. (2016). This news-based continuous measure presents a bank profit modeling approach that differs from traditional event study methodology. Second, a large sample of US commercial banks is used which represents an important departure from banking regulation studies.

The purpose of this paper is to inspect whether bank‐specific and macro‐economic determinants influence Islamic banks' profitability in the selected countries of different regions.

In order to achieve the study objective and to answer the question, the balanced panel data regression model has been used. Bank level data is used and this study examines the alternative measures ROA and ROE as a bank‐specific function and macro‐economic determinants.

The study results signify that banks with larger assets size and with efficient management lead to greater return on assets.

The paper shows that management efficiency regarding operating expenses positively and significantly affects the banks' profitability.