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The purpose of this paper is to examine empirically the nature of smoothing returns practices in a sample of 79 Islamic banks across 19 countries during the period 2001‐2006.

Previous researchers' methods, based on the variation and determination coefficients, are used in this study to detect the smoothing practices.

Results indicate that the revenues from the “Shariah‐based products” derived from the profit and loss sharing principle show higher variability than the “Shariah compliant revenues” and that income from this source is relatively lower. They also show that a large number of Islamic banks engage in natural income smoothing. Based on the determination coefficient results, 70 per cent of banks were found to have less smoothed total revenue than their net income. Results based on variation coefficient further confirm this finding, with 67 banks having a coefficient of total revenue higher than that of the net income.

The results suggest that Islamic banks should strengthen the use of smoothing techniques, such as the profit equalization reserves (PER) and the investment risk reserves (IRR), as they allow them to further stabilize the revenues payout for the investment account holders (IAH) and therefore mitigate withdrawal risk. Standardizing the smoothing techniques could be a solution to overcome the variability of this category of revenue.

This work is the first of its kind for Islamic banks. It extends previous research by examining whether or not managers may smooth their results naturally or intentionally. It also helped to bridge the gap in the literature by providing the empirical evidence on the smoothing returns in Islamic finance.

The purpose of this paper is to examine whether there is significant evidence that hedge fund managers engage in deceptive manipulation of their reported performance results.

A model of hedge fund performance has been developed using standard regression analysis incorporating dependent lagged variables and an autoregressive process. In addition, the extreme bounds analysis technique has been used to examine the robustness and sensitivity of the explanatory variables. Finally, the conditional influence of the global stock market’s returns on hedge fund performance and the conditional return behavior of the Hedge Fund Index’s performance have been explored.

This paper begins by identifying a model of hedge fund performance using passive index funds that is well specified and robust. Next, the lag structure associated with hedge fund returns has been examined and it has been determined that it seems to take the hedge fund managers two months to integrate the global stock market’s returns into their reported performance; however, the lagged variables were reduced from the final model. The paper continues to explore the smoothing behavior by conditioning the dependent lagged variables on positive and negative returns and find that managers are conservative in their estimates of positive performance events, but, when experiencing a negative result, they seem to attempt to rapidly integrate that effect into the return series. The strength of their integration increases as the magnitude of the negative performance increases. Finally, the performance of returns for both the Hedge Fund Index and the passive indices were examined and no significant differences between the conditional returns were found.

The results of this analysis illustrate that hedge fund performance is not all that different from the performance of passive indices included in this paper, although it does offer investors access to a unique return distribution. From a management perspective, we are reminded that we need to be cautious about hastily arriving at conclusions about something that looks different or feels different from everything else, because, at times, our preconceived notions will cause us to avoid participating in something that may add value to our organizations. From an investment perspective, sometimes having something that looks and behaves differently from everything else, improves our investment experience.

This paper provides a well-specified and robust model of hedge fund performance and uses extreme bounds analysis to test the robustness of this model. This paper also investigates the smoothing behavior of hedge fund performance by segmenting the returns into two cohorts, and it finds that the smoothing behavior is only significant after the hedge funds produce positive performance results, the strength of the relationship between the global stock market and hedge fund performance is more economically significant if the market has generated a negative performance result in the previous period, and that as the previous period’s performance becomes increasingly negative, the strength of the relationship between the Hedge Fund Index and the global stock market increases.

This study aims to examine the impact of income smoothing on the value of firms in a regulated security market, moderated by market risk. This is based on the prevalence of accounting scandals resulting in the collapse of firms which has been attributed to the opportunistic behaviors of managers.

The ex post facto research design was employed, and as such, data were gathered from secondary sources. The quantitative approach was also used in the study. Furthermore, the system generalized method of moments (Blundell–Bond) panel estimation technique was used for analyzing the data. Income smoothing was measured using the accrual based methods, while firm value was measured using share price.

The study found that income smoothing has a negative significant impact on firm value. The study also revealed that market risk is a significant variable that defines the relationship between income smoothing and firm value.

Testing the moderating effect of market risk on the relationship between income smoothing and firm value is unique to this study, particularly from a regulated security market and emerging economy.

The purpose of this paper is to identify the application of the fundamental principle of accounting conservatism within the EU food and drink industry. Furthermore, the authors would also investigate in-depth the above relationship in two different subsamples (income smoothers and non-income smoothers).

All EU-listed companies of the food and drink industry were identified covering the year 2019. Eckel's model was used to classify listed companies as smoothing or non-smoothing, and Basu's model was adopted to test the degree of conditional conservatism.

The results indicate that conservatism is strongly present in food and drink industry and also in its subindustries. We also showed that non-smoothing firms had higher levels of conditional conservatism in terms of more opportunity to recognize future economic losses because the market could use the stock return data to anticipate future losses contained in the information regarding profits.

One limitation of this work is the small size of the investigated companies. The authors demonstrate that the likely increased use of conservatism produces better credibility in the EU markets. Practical implications indicate a higher degree of monitoring of the accounting practices adopted by firms. Regulators have to set accounting policies to enhance the quality of the informational environment, investors and shareholders might exercise control over executives' decisions, and lenders might impose contractual clauses requiring the timely disclosure of “bad news.”

This industry is “belted” from any external speculations. This research made it possible also to observe theoretical relationships between the financial information provided by the EU food and drink industry that contributes to the market distinction between smoothers and non-smoothers.

Prior studies generally focus on income smoothing through discretionary accruals and document that managers have incentives to smooth earnings due to various reasons. This paper aims to focus on income smoothing through research and development (R&D) management and examine whether and how income smoothing through R&D management affects credit rating agencies’ perception of firm risk.

The authors use financial statement data from the CRSP/Compustat Merged data set universe for the period from 1992 to 2019 after excluding financial and utility industries. The authors follow the model for credit ratings used in previous literature to test the hypothesis. Specifically, the authors use an ordered probit model to express credit ratings as a function of income smoothing attributes.

The authors find that R&D-based income smoothing improves a firm’s credit rating. However, the positive effect of R&D-based income smoothing on credit ratings is less than that of accruals-based income smoothing. This study also shows that the positive effect of R&D-based income smoothing is more pronounced for firms less subject to opportunistic incentives, further strengthening the notion that managers smooth earnings through R&D management to provide more informative earnings.

This study contributes to the income smoothing literature in several ways. First, the authors contribute to the research by showing that managers’ income smoothing activity through R&D management positively affects firms’ credit rating. Second, the authors also document the relative benefits of the two different income smoothing techniques in terms of improving credit agencies’ perception of firms’ creditworthiness.

The purpose of this paper is to assess the practice of income smoothing in the Gulf Cooperation Council (GCC) emerging markets; Saudi Arabia, Kuwait, United Arab Emirates, Oman and Qatar. Then, to examine the impact of income smoothing on the earnings quality to decide whether income smoothing can serve as either a tool to enhance earnings quality or a tool for opportunistic behavior. Audit quality and corporate governance as additional factors are considered in this study.

The study methodology measures income smoothing behavior based on the coefficient of variation method. Earnings quality is measured as an outcome of the explained variations in stock returns by earnings based on the efficient market hypothesis. Audit quality is measured based on brand as higher quality assigned to auditor from any of the Big 4, while the corporate governance is addressed based on the extent of governmental ownership. The initial study sample comprises 55 companies over a ten year period, from 1999 to 2008; the final sample represents approximately 64 percent of the industrial sector that have public data during the study.

The results suggest that income smoothing behavior in the GCC markets has many variations in practice. Income smoothing, on average, improves earnings quality in three countries out of four, but not significantly for the whole sample based on earnings level. The earnings changes model demonstrated a positive and significant impact of income smoothing on earnings quality. Audit quality and earnings quality have a positive relationship within the region, and companies dominated by the government perform well in accordance with the earnings-return model.

The study is limited to the industrial sector of the GCC.

The study opens the door to future applications to other sectors within the GCC, same sectors and other sectors for Middle East countries and other emerging markets.

The study may foster a better understanding of accounting practices in the GCC and Middle East. The study reveals variations in different aspects among GCC countries, this matter should be considered in separate studies across different areas.

The study makes an original contribution to being the first to explore this topic in the GCC. Additionally, this study shows that the GCC markets have different characteristics in the practice and impact of income smoothing on earnings’ quality. Further, audit quality and corporate governance was investigated for each country and for the region, in addition to the interaction between these factors with the income smoothing and earnings quality.

The purpose of this study is to examine investors’ awareness in Amman Stock Exchange of the effects of earnings manipulation incentives on the earnings manipulation practices of managements through the usage of the available level of flexibility in the accounting standards, and to examine whether those investors are able to detect these practices. A self‐administered questionnaire of three sections was developed and used to achieve the purposes of this study. A sample of 144 respondents from four industries was selected using a stratified sampling method. The study found that investors in Amman Stock Exchange have enough awareness to the effects of earnings manipulation incentives on the practices of managements toward the manipulation of earnings. Moreover, this study concluded that investors in Amman Stock Exchange have the ability to detect those practices.

The purpose of this paper is to determine a financial institution's optimal hedging degree under consideration of costly earnings volatility induced by fair value accounted derivatives. The discussion on the adoption of fair value accounting in the financial industry has been rather controversial in recent years. Under this accounting regime, the change in market values of specific assets must be considered as profit or loss. Critics argue that fair value accounting induces higher earnings volatility compared to historical cost accounting and, therefore, may initiate a downward spiral during recessions. Thus, increased earnings volatility induces costs, which can be explained by disappointed capital market expectations. Consequently, in general, a lowering of earnings volatility will be rewarded. Consistent with this theoretical finding, empirical research provides strong evidence that companies pursue income smoothing to reduce earnings volatility. In contrast to industrial corporations, financial institutions may easily reduce their earnings volatility by engaging in additional hedging activities. However, more intense hedging usually reduces expected profits.

Based on a research project initiated by a large German bank, this study quantitatively models the trade-off between the (utility of) costs of earnings volatility and the reduction of profit potential through additional hedging.

By conducting sensitivity analyses and simulations of the crucial factors of the trade-off, we examine relevant causal relationships to obtain first indications about the economic benefits of income smoothing.

To the best of our knowledge, we are the first to develop an optimization model that supports decision-making by attempting to determine an optimal (additional) hedging degree considering the costs induced by earnings volatility.

Purpose: In this chapter, the author evaluates the association between bank loan loss provisions (LLP) and the pre-provisions earnings of UK banks during the first-wave of the COVID-19 pandemic. A positive co-movement between the two variables indicates income smoothing.

Methodology: Graphical analysis, correlation analysis and regression analysis are used to assess the relationship between income smoothing and bank provisions among UK systemic banks.

Findings: The findings show that LLP have an inverted V-shaped property during the first-wave of COVID-19 pandemic. LLP reached its highest level at the peak of the pandemic in Q2 2020 and declined in the subsequent quarters. The regression results show that LLP are positively related to pre-provisions earnings during the pandemic quarters and in the pre-pandemic quarters. The relationship is stronger in the pandemic quarters and indicates higher income smoothing in the pandemic quarters. The correlation results also show a strong positive correlation between bank provisions and pre-provisions earnings in the pandemic period. In the individual bank analysis, three of the four systemic banks exhibit higher income smoothing during the pandemic quarters.

Implication: UK systemic banks engaged in earnings management as a coping mechanism to mitigate the effect of the pandemic on their profits.

Need for the study/originality: This chapter is the first to provide a preliminary analysis of income smoothing among banks during the early stages of the COVID-19 pandemic.

This study examines the impact of competition and concentration on bank income smoothing in Central and Eastern European (CEE) countries.

The two-step system GMM method was used to analyse the impact of competition and concentration on bank income smoothing in 17 CEEs from 2004 to 2015.

Loan loss provisions (LLPs) are negatively related to bank competition and concentration. The authors find no evidence for income smoothing using LLPs in a high-competition or high-concentration environment.

A limitation of the study is that the analysis was restricted to commercial banks. The authors did not examine investment banks or microfinance banks in this study. Also, not having access to databases does not allow them to include recent years in the study.

CEE commercial banks will likely keep fewer provisions or engage in under-provisioning when they face intense competition, and this can expose them to credit risk, which may threaten their stability.

This study is the first to investigate the effect of concentration and competition on income smoothing among CEE banks.