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This study examines the rarely investigated association between institutional ownership and income smoothing. The results support the predicted positive association between institutional ownership and the likelihood of firms smoothing earnings towards their earnings trend in general. However, this association is not systematic across all firms. The positive association is most evident among profit firms with pre‐managed earnings above their earnings trend. No significant association is found for profit firms with pre‐managed earnings below their earnings trend and loss firms in general. This study also finds that, in Australia, while institutional ownership has a non‐linear association with income increasing earnings management (Koh, 2003), such association manifests itself within the income smoothing framework. The results of this study highlight the complexities in the association between institutional ownership and earnings management strategies, and future research can benefit by explicitly examining the trade‐offs between alternative earnings management incentives and the factors that affect the relative strength of these incentive trade‐offs.

This paper aims to examine regime switching behaviour of the nominal exchange rate in Uganda to shed light on the necessity (as well as efficacy) of the participation of the central bank market.

The homogenous two‐state Markov chain methodology was employed to investigate the possibility of regime changes in the nominal exchange rate. The maximum likelihood parameter estimates were obtained using the Broyden‐Fletcher‐Goldfarb‐Shanno iteration algorithm.

The results validate the expectation of the two distinct state spaces characterized as sharp and disruptive but short‐lived depreciations as well as small appreciations occurring through a long period. The central bank intervention actions are shown to be largely successful in mitigating the disruptive effects of the sharp depreciations.

The paper lends empirical support to the intervention actions of the Bank of Uganda. In face of the numerous disruptions to the short‐term exchange rate process, failure to intervene may cause rational panic and given the nature of investor behavior, this may quickly spread and even cause further disruptions. It is important for the central bank to send signals that these disruptions are temporary.

The homogenous Markov chain specification employed in this study makes it possible to avoid the pitfalls that may arise by attempting to specify a structural model for the exchange rate. In addition, inference about the different possible state spaces is made on the basis of all available information.

Accounts manipulation has been the subject of research, discussion and even controversy in several countries including the USA, Canada, the U.K., Australia, Finland and France. The objective of this paper is to provide a comprehensive review of the literature and propose a conceptual framework for accounts manipulation. This framework is based on the possibility of wealth transfer between the different stake‐holders, and in practice, the target of the manipulation appears generally to be the earnings per share and the debt/equity ratio. The paper also describes the different actors involved and their potential gains and losses. We review the literature on the various techniques of accounts manipulation: earnings management, income smoothing, big bath accounting, creative accounting, and window‐dressing. The various definitions of all these, the main motivations behind their application and the research methodologies used are all examined. This study reveals that all the above techniques have common elements, but there are also important differences between them.

The article aims to investigate the effects of ownership and capital structure on postacquisition operating performance.

The article extends the ongoing literature from an operating loss perspective and provides empirical evidence on the probability of acquirers’ operating loss in relation to ownership and capital structure. The operating performance of publicly listed manufacturing firms in China was tracked up to five years since the completion of the mergers and acquisitions (M&A) during 2003–2014.

The empirical results show that, in a five-year postacquisition period, state-owned enterprises (SOEs) are more likely to experience operating loss than non-SOEs. The likelihood of the operating loss is negatively associated with ownership concentration, implying that concentrated ownership may serve as an effective corporate governance mechanism in the emerging economy and improve postacquisition performance. The rise in leverage increases the likelihood of postacquisition operating loss, indicating that the costs of debt may outweigh the benefits.

The findings contribute to the literature on ownership, debt governance and post-M&A performance from an emerging economy perspective.

The purpose of this paper is to propose and test empirically an inflation model containing permanent and transitory heteroskedastic components for the G7 countries. More specifically, recent evidences from the literature are gathered to construct a model with a heteroskedastic global component capturing comovements amongst G7 economies. Moreover, evidence of asymmetric generalized autoregressive conditionally heteroskedastic effects both in the transitory and in the permanent components are taken into account, and the time‐varying variance of each component allows their influence over the observable inflation to change over time. Out‐of‐sample forecasting exercises are used to test the model validity.

The model is written in state‐space form and estimation is carried out in one step via quasi‐maximum likelihood using the augmented Kalman filter, which allows us to compute smoothed estimates of permanent and of transitory components of inflation rates. Out‐of‐sample forecasts are compared against a random walk (RW) and an autoregressive (AR) model of order one. The significance of the differences in forecast accuracy is tested using the Diebold‐Marino test, the forecast encompassing test, and the Pesaran and Timmermann test.

The proposed model fits the data quite well and has good forecasting capabilities when compared to RW and to AR models of order one. The volatility of the global inflation trend extracted from the model captures the international effects of the “Great Moderation” and of the “Great Recession”. An increase in correlation of inflation for certain country pairs since the start of the “Great Recession” is observed. Moreover, there is evidence of asymmetry in inflation volatility, which is consistent with the idea that higher inflation levels lead to greater uncertainty about future inflation.

This article introduces a new global inflation model with permanent and transitory heteroskedastic components incorporating many recent findings of the literature, and proposes a one step estimation procedure for it. The model fits very well the data and produces good out‐of‐sample forecasts.

This paper seeks to investigate whether executive wealth sensitivity to stock price fluctuations serves as an incentive for earnings management.

Using a sample of 475 chief executive officers (CEOs) from 410 randomly selected Standard and Poor's (S&P) 1500 firms, the relation between executive stock‐based compensation, corporate governance, and earnings management is empirically examined.

CEO wealth sensitivity is positively associated with abnormal accrual usage and the relation is consistent with income‐smoothing. Also find that governance does not significantly influence the association between CEO stock‐based wealth sensitivity and earnings smoothing.

This study has several limitations. First, it is assumed that the accruals models used provide accurate measures of abnormal accruals. Several recent studies question the reliability of these models. Second, the wealth sensitivity measures in this paper are based on Black Scholes option pricing. A number of the assumptions underlying Black Scholes do not hold for executive options. Finally, governance factors that influence the examined relations may not be effectively captured by the measures in this paper.

The findings have implications for compensation design. Unintended consequences of high CEO exposure to firm‐specific risk may not be effectively mitigated by governance. These results also have potential policy implications. In the wake of recent accounting scandals regulators tightened governance standards for corporate. The findings suggest that reliance on these standards as deterrents to earnings management may not be warranted.

The study contributes to both the earnings management and corporate governance literatures. The results of this study suggest that CEO stock‐based wealth sensitivity is an earnings management incentive.

The purpose of this paper is to investigate the impact of regulations, reforms and legal environment on dividend policy in a different institutional setting. Particularly, it examines the firm-level cash dividend behaviour of publicly listed firms in Turkey in the post-2003 period, since there were major economic and structural reforms as well as significant regulatory changes of dividend payout rules imposed by the supervisory bodies.

The paper focuses on a recent large panel data set of 264 Istanbul Stock Exchange (ISE)-listed firms over a ten-year period 2003-2012. First, it employs a modified specification of Lintner’s (1956) partial adjustment model for analysis regarding target payout ratio and dividend smoothing. Second, it performs a logit model for analysis in identifying the link between financial characteristics and the likelihood of paying dividends.

The results show that ISE firms now follow the same determinants as suggested by Lintner. They, indeed, have long-term payout ratios and adjust their cash dividends by a moderate level of smoothing, and therefore adopt stable dividend policies (although less stable policies compared to their counterparts in the developed US market) as a signalling mechanism over the period 2003-2012. Moreover, the results also report that ownership structure concentration affects the target payout ratio and dividend smoothing in the Turkish market. In addition, the results further show that more profitable, more mature and larger sized ISE firms are more likely to pay cash dividends, whereas ISE firms with higher investment opportunities and more debt are less likely to distribute cash dividends in the post-2003 period.

To the best of authors’ knowledge, this paper is the first major research that examines the implications of reforms and regulations on cash dividend payments and dividend smoothing over time in Turkey during its market integration process in the post-2003 period.

The purpose of this paper is to examine the regime shifts and stock market volatility in the stock market returns of seven emerging economies popularly called as “BRIICKS” which stands for Brazil, Russia, India, Indonesia, China, South Korea and South Africa, over the period from February 1996 to January 2012 by applying Markov regime switching (MS) in mean-variance model.

The authors apply MS model developed by Hamilton (1989) using its mean-variance switching framework on the monthly returns data of BRIICKS stock markets. Further, the estimated probabilities along with variances have been used to calculate the time-varying volatility. The authors also examine market synchronization and portfolio diversification possibilities in sample markets by calculating the Logit transformation based cross-market correlations and Sharpe ratios.

The applied model finds two regimes in each of these markets. The estimated results also helped in formulating the asset allocation strategies based on market synchronization and Sharpe ratio. The results suggest that BRIICKS is not a homogeneous asset class and each market should be independently evaluated in terms of its regime-switching behavior, volatility persistence and level of synchronization with other emerging markets. The study finally concludes that Russia, India and China as the best assets to invest within this emerging market basket which can be pooled with a mature market portfolio to achieve further benefits of risk diversification.

The study does not provide macroeconomic and financial explanations of the observed differences in dynamics among sample emerging stock markets. The study does not examine these markets under multivariate framework.

The results highlight the role of regime shifts and stock market volatility in the asset allocation and risk management. This study has important implications for international asset allocation and stock market regulation by way of identifying and recognizing the differences on regimes and on the dynamics of the swings which can be very useful in the field of portfolio and public financial management.

The paper is novel in employing tests of MS under mean-variance framework to examine the regime shifts and volatility switching behavior in seven promising BRIICKS stock market. Further, using MS model, the authors analyze the duration (persistence) of each identified regime across sample markets. The empirical results of MS model have been used for making portfolio allocation strategies and also examine the synchronization across markets. All these aspects of stock market regime have been largely ignored by the existing studies in emerging market context particularly the BRIICKS markets.

The purpose of this paper is to examine whether the contracting incentives (i.e. bonus plans, debt covenants, political costs hypotheses), and income smoothing can explain accounting choices in an emerging country, Egypt.

The paper uses the ordinary least square regression model to examine the relationship between earnings management and reporting objectives. A sample of 438 non-financial firms listed on the Egyptian Exchange over the period 2005-2007 is used.

The paper finds that the contracting objectives explain little of the variations in accounting choices (i.e. discretionary accruals) in the Egyptian context. However, the paper finds that mangers are likely to smooth the reported earnings by managing the accrual component in an attempt to reduce the fluctuation in reported earnings by increasing (decreasing) earnings when earnings are low (high) in attempt to reduce the variability of the reported earnings.

The empirical results rely on the ability of earnings management proxies to adequately capture earnings manipulation activities.

The findings of the study should be of substantial interest to regulators and policy makers. The results implicitly contribute to the ongoing argument in relation to the optimal flexibility permitted by standard setting and the argument that tightening the accounting standards and mandating International Financial Reporting Standards are likely to improve reporting quality and reduce opportunistic earnings management. The results reveal that many of the weaknesses related to corporate reporting in emerging countries may result from the inadequate enforcement of the law and the weak legal protection of minority shareholders. The results also highlight the crucial role of understanding the reporting incentives, which is mainly shaped by institutional and market forces and the legal environment, in explaining accounting choices.

Unlike previous studies that tested an individual objective, this study examines the trade-offs among various reporting objectives in an emerging economy.

The aim of this paper is to measure and evaluate the relationship between returns-volatility and trading volume and returns and volatility of financial market indexes using time-varying copulas.

The time dynamic dependence parameter is allowed to evolve according to a restricted ARMA-type equation which includes a constant term that is driven by a hidden two-state first-order Markov chain.

In using this time dynamics in conjunction with non-elliptical distribution functions and tail dependence measure, the authors are allowing for (and focusing on) non-linearities in the returns-volume-volatility relationship. The results support the assumption that current trading volume provides information about future volatility as well as that there is a negative relationship between returns and their volatilities in financial market indexes.

The authors provide an interesting empirical interpretation for the regimes the authors have identified: in the high dependence regime the sequential information arrival hypothesis and/or noise trading hypothesis are valid, consequently future volatility prediction is possible and persistent but does not last indefinitely; in the low dependence regime, the future volatility prediction is more unlikely to occur, since both trading volume and return negatives have a low (near zero) relation with future volatility.