PurposeThis paper examines the impact of cryptocurrency market on the stock market performance in Middle East and North Africa (MENA) region. A comparative analysis is extended to distinguish this impact between Gulf countries and other economies in the region.Design/methodology/approachThe analysis uses the information of cryptocurrencies and the stock market indices of the Gulf countries for the period 2014–2018 on a daily basis. Two strategies have been implemented to fulfill the goal of the study: first, the tests strategy, which is applied using the cointegration analysis and panel-specific forms of Granger causality; second, the regression strategy, which is applied mainly using the instrument variable with generalized method of moments (IV-GMM) method.FindingsThe results show that there is a significant relationship between the cryptocurrency market and the stock market performance in the MENA region. On the one hand, for the Gulf countries that claim full obedience to the Islamic Sharia rules, each 1% increase in the cryptocurrency returns reduces the stock market performance by 0.15%. On the other hand, for the non-Gulf (other MENA) countries that have flexibility in applying the Islamic Sharia rules or do not follow it, the stock market performance increases by 0.13%, for each 1% increase in the cryptocurrency returns.Originality/valueThe paper proposes two main contributions: First, the paper introduces the cryptocurrency returns as one of the determinants of the stock market performance in the MENA region. This impact is distinguished based on the degree of applying the Islamic Sharia rules and the vision of the government to the stock market. Second, the paper provides an empirical guideline for governments in the MENA region for efficient measures in their stock market, given the important expansion of the cryptocurrency market and the government type.
Purpose The purpose of this paper is to explore the relationship between organizational learning and patient safety culture in hospital pharmacy settings as determined by the learning organization survey short-form (LOS-27) and pharmacy survey on patient safety culture instruments, and to further explore how dimensions of organizational learning relate to dimensions of pharmacy patient safety culture. Design/methodology/approach This study is a cross-sectional study. Data were obtained from three public hospital pharmacies and three private hospital pharmacies in Kuwait. Partial least square structural equation modeling was used to analyze the data. Findings A total of 272 surveys (59.1 percent response rate) were completed and returned. The results indicated a significant positive relationship between organizational learning and patient safety culture in hospital pharmacy settings (path coefficient of 0.826, p-value <0.05 and R2 of 0.683). Several dimensions of the organizational learning showed significant links to the various dimensions of the pharmacy patient safety culture. Specifically, training (TRN), management that reinforces learning (MRL) and supportive learning environment (SLE) had the strongest effects on the pharmacy patient safety culture dimensions. Moreover, these effects indicated that MRL, SLE and TRN were associated with improvements in most dimensions of pharmacy patient safety culture. Originality/value To the best of the authors’ knowledge, this is the first attempt to assess the relationship between organizational learning, patient safety culture and their dimensions in hospital pharmacy settings.
Purpose The purpose of this study is to investigate the relationship between the level of sustainability reporting [environmental, social and governance (ESG)] and sectorial energy performance across both developed and emerging economies. Design/methodology/approach Using data culled from 3,311 observations from 50 different countries over a ten-year period (2008–2017), an ESG-score-derived independent variable is regressed against dependent performance indicator variables (operation ratio, return on equity and Tobin’s Q). Two types of control variables complete the regression analysis in this study: firm-specific and macroeconomic. Findings The findings of this study elicited from the empirical results demonstrate that there is a significant relationship between ESG and operational performance (operation ratio). However, there is no significant relationship between ESG and financial performance (return on equity) and market performance (Tobin’s Q). However, the relationship between ESG and operation ratio is stronger in emerging than in developed economies. Originality/value The model in this study presents a valuable analytical framework for exploring sustainability reporting as a driver of performance across energy sectors in both developed and emerging economies. In addition, this study highlights energy-sectorial managerial implications contrasting developed, as juxtaposed with, emerging economies.
Financial strength ratings (FSRs) have become more significant particularly since the recent financial crisis of 2007-2009 where rating agencies failed to forecast defaults and the downgrade of some banks. The aim of this paper is to predict Capital Intelligence banks' financial strength ratings (FSRs) group membership using machine learning and conventional techniques. Here the authors use five different statistical techniques, namely CHAID, CART, multilayer-perceptron neural networks, discriminant analysis and logistic regression. They also use three different evaluation criteria namely average correct classification rate, misclassification cost and gains charts. The data are collected from Bankscope database for the Middle Eastern commercial banks by reference to the first decade of the 21st century. The findings show that when predicting bank FSRs during the period
This paper aimed to assess the effect of the cryptocurrency market on firms’ market value, especially on the sectoral level, in Africa. To reach the study’s main goal, the authors adopted the Panel-Corrected Standard Errors (PCSEs) and Panel Double-Clustered Standard Errors (PDCSEs). Using firm-level data, the results of this study can be summarized as follows: (a) The cryptocurrency market hurts the firm market value in Africa. (b) The firms operating across different sectors respond disproportionally to the cryptocurrency market. For instance, the sectors that offer low returns in Africa (industrial, energy, financial) negatively respond to the cryptocurrency market, while the sectors that offer high returns (real estate and information technology) are not significantly affected. (c) The cryptocurrency market has a perverse effect on less experienced and highly indebted firms. (d) The consistent policies of governments to ban cryptocurrency do not work efficiently.
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