Instrument for evaluating public projects

The cost-benefit-analysis represents for the public sector the same as investment projections mean for private enterprise. This method is still in its experimental stage, but it is becoming more and more sophisticated and is already widely used also by national agencies active in the field of development.     

The Impact of Owner’s Identity on Banks’ Capital Adequacy and Liquidity Risk

In this article, we test the potential impact of the owner’s identity on banks’ capital adequacy and liquidity risk as defined by the Basel III regulatory framework. Using a unique dataset on a sample of banks domiciled in the Middle East and North Africa region, we find that the ownership structure is an important driver of banks’ regulatory capital and liquidity risk. Private and foreign investors exhibit a stronger preference for higher levels of capital, whereas the impact of government ownership on banks’ risk remains inconclusive. Moreover, privately-owned banks evidenced lower levels of liquidity risk compared to the other groups during the last financial crisis because of tighter budget constraints and more compelling liquidity needs.     

Evaluating the operational and profitability efficiency of a UAE-based commercial bank

This study investigates the operating and profitability efficiency of 15 branches of UAE-based commercial bank utilising the data envelopment analysis method. The results indicate that efficiency levels among the various branches vary and that there is room for improvement. Profitability efficiency appears to be higher than operational efficiency. Regarding the financial ratios analysis, a consistent effect cannot be obtained and it cannot be determined which branch has an overall position in terms of higher performance. The historical analysis of the branch network performance indicates that management should consider major operational improvement efforts to reduce employees' expenses and other operating expenses combined with an increase in the total loans portfolio. Improvement in both interest and non-interest revenues is required to increase profitability efficiency of the whole branch network.     

The statement of changes in financial position: An alternative teaching approach

The Statement of Changes in Financial Position (SCFP) is an important financial statement for external users. From a teaching point of view, however, the development of the SCFP has not been understood clearly by many accounting students.In order to properly understand the SCFP using either the working capital basis or cash basis, students need a framework for analyzing the impact of various transactions on the Statement. This article provides the accounting instructor with an alternate method for teaching the relationship between any transaction and the SCFP.     

The Endogeneity of Money: Evidence from the G7

For many years economists have argued that the money supply is endogenously determined. However, it has often been suggested that monetary regimes differ in important institutional respects and it may be that endogeneity may be true for some regimes and not for others. The aim of this paper is to test for endogeneity of money supply in the G7 countries and also to detect the existence of any interaction between the demand for bank lending and the demand for money by using recently developed techniques of causality tests. Our findings suggest that broad money is endogenous. However, the ability of the demand for loans to cause deposits is not, it seems, unconstrained by the demand for those deposits. Agents do not simply absorb whatever flow of new deposits loans might create.     

Penalty and related estimation strategies in the spatial error model

Spatial autoregressive models are powerful tools in the analysis of data sets from diverse scientific areas of research such as econometrics, plant species richness, cancer mortality rates, image processing, analysis of the functional Magnetic Resonance Imaging (fMRI) data, and many more. An important class in the host of spatial autoregressive models is the class of spatial error models in which spatially lagged error terms are assumed. In this paper, we propose efficient shrinkage and penalty estimators for the regression coefficients of the spatial error model. We carry out asymptotic as well as simulation analyses to illustrate the gain in efficiency achieved by these new estimators. Furthermore, we apply the new methodology to housing prices data and provide a bootstrap approach to compute prediction errors of the new estimators.     

Understanding Society: the income data

We introduce the income data of Understanding Society, the UK Household Longitudinal Study. First, we show that the data are widely used in academic and policy research. We then discuss the pros and cons of different types of data on household incomes. We go on to describe the income content of Understanding Society, emphasising key details of data collection and data processing – specifically the derivation of net household income totals. We perform a quality assessment that compares Understanding Society estimates of net household incomes to those from a reliable cross-sectional source – the Households Below Average Income series. We conclude that the Understanding Society income data are of high quality, and so are an excellent source for research on the income distribution or incomes more generally. We finish with a discussion of future directions for income data collection in the study.     

Effects of Mandatory Audit Firm Rotation Upon Quality of Audit： The Perception of Audit Firms Evidence From Bahrain

The objectives of this study are： （1） to explore current audit appointment practices by audit firms in Bahrain; （2） to look into the opinions of audit firms in Bahrain on potential effects provided by implementing mandatory audit firm rotation （audit quality）; and （3） to investigate audit firms＇ views in implementing mandatory audit firm rotation in Bahrain. To achieve these objectives, a questionnaire was developed and distributed to respondents that consist of all auditors working in audit firms in Bahrain. The findings indicated that there is a significant relationship between mandatory audit firm rotation and quality of audit. The study also indicated that longer partner tenure makes the auditor＇s performance lack the quality in the auditing process. The average mean for all questions of the hypothesis together is 2.73 with average standard deviation of 0.94 which is less than half of the mean. This means that there is no dispersion among respondents about the questions of the hypothesis. Also, the analysis shows that the t-value is 29.922, which is greater than the table critical value of t （1.66）, and the p-value obtained is 0.000 which is less than the value of significance at p 〈 0.05. These results confirm statistically that there is a significant relationship, so the null hypothesis is rejected and the alternative hypothesis is accepted.     

Product market competition and productivity shocks

I investigate the interaction effects of competition and productivity shocks on stocks’ earnings and returns. I find that the sensitivities of earnings and returns to productivity shocks are negatively associated with competition intensity. I also find that the excess returns of productivity shocks-sorted portfolios are lower when competition intensity is high, even after controlling for known return predictors. Overall, the empirical evidence shows firms are less exposed to productivity shocks when competition is high. As such, this study provides a possible mechanism through which the structure of product markets affects stock returns.     

The impact of COVID-19 pandemic on the dynamic correlations between gold and U.S. equities: evidence from multifractal cross-correlation analysis

This study exploits multifractal cross-correlation analysis (MFCCA) to investigate the impact of the COVID-19 pandemic on the cross-correlations between gold and U.S. equity markets using 1-min high-frequency data from January 1, 2019, to December 29, 2020. The MFCCA method shows that the pandemic caused an increase of multifractality in cross-correlations between the two markets. Specifically, the cross-correlations of small fluctuations became more persistent while those of large fluctuations became less persistent, explaining the source of multifractality. The findings of this study carry significant implications for investors, academicians, and policymakers. For example, the increase of multifractality of cross-correlation means that the non-linear relationship between gold and U.S. equity returns prevails more during economic downturns. Therefore, academicians may resort to non-linear techniques to evaluate the relationship between gold and U.S. equity markets during the health pandemic. Moreover, investors can know the value of hedging benefits over different investment time horizons during the pandemic. Finally, policymakers can better assess the economic downturns (i.e., those caused by health pandemics) over the dynamics of cross-correlation between gold and equity markets to make sound financial policies.