Dynamic linkages among equity markets in the Middle East and North African countries

The relaxation of security laws and regulations in emerging markets in the Middle East and North Africa (MENA) provides abundant opportunities for foreign investors. These markets exhibit high-expected returns and substantial volatility. In this paper, we investigate the lead/lag relationship between the MENA countries and regions. We find no market causality or spillover from one country to another in the North Africa region. Our results for the Levant region reveal that there are linkages between stock markets in this region. The results for the Gulf Cooperation Council (GCC) region show that there is more interaction and linkage in the GCC region than in the North Africa and Levant regions. An unexpected result is that UAE's stock market leads all the markets in this region. Finally, we investigate linkages among the three regions. We find that GCC influences the other two regions.     

Financial Development and Economic Growth: Empirical Evidence from Six MENA Countries

This paper examines the causal relationship between financial development and economic growth for six Middle Eastern and North African countries (Algeria, Egypt, Israel, Morocco, Syria, and Tunisia), within a quadvariate vector autoregressive framework. We employ four different measures of financial development and apply the augmented vector autoregression vector (VAR) methodology of Toda and Yamamoto to test for Granger causality. Our empirical results strongly support the hypothesis that finance leads to growth in five out of the six countries. Only in Israel could weak support be found for causality running from economic growth to financial development but no causality in the other direction. These findings suggest the need to accelerate the financial reforms that have been launched since the mid 1980s and to improve the efficiency of these countries’ financial systems to stimulate saving/investment and, consequently, long‐term economic growth.     

Forecasting Stock Index Futures Price Volatility: Linear vs. Nonlinear Models

The study examines the relative ability of various models to forecast daily stock index futures volatility. The forecasting models that are employed range from naïve models to the relatively complex ARCH-class models. It is found that among linear models of stock index futures volatility, the autoregressive model ranks first using the RMSE and MAPE criteria. We also examine three nonlinear models. These models are GARCH-M, EGARCH, and ESTAR. We find that nonlinear GARCH models dominate linear models utilizing the RMSE and the MAPE error statistics and EGARCH appears to be the best model for forecasting stock index futures price volatility.     

Sustainable resource use,economic development,and public regulation

The role of production technology for sustainable economic growth and resource management in the multispecies renewable resources industries is a neglected issue, particularly in complex tropical ecosystems. Given the still rudimentary understanding of biological interactions among species, even in most temperate ecosystems, the importance of under-standing the technological and economic interactions is heightened for sustainable economic growth and public regulation. This paper evaluates these interactions for the multiproduct gill net fisheries of Peninsular Malaysia. Standard price and quantity controls may have little promise. Gear regulations, a policy of constant escapement, and managing the entire mix of species as a single stock for economic rather than biomass yield appear the most promising management tools given the limited regulatory options.     

Dynamic lot sizing problem with continuous-time Markovian production cost

This paper develops a polynomial algorithm for obtaining dynamic economic lot sizes in a single product multiperiod production system with the objective of minimizing total production and inventory costs over T periods. It is assumed that production costs are linear, inventory costs are concave, setup costs are zero and backlogging is not permitted in all periods. Moreover, the unit production cost is a stochastic variable, which is evolved according to a continuous-time Markov process over the planning horizon. The model is formulated as a stochastic dynamic programming (DP) optimization with the state variable being unit production cost. Then, it is solved using the backward dynamic programming approach. To justify the application of the proposed model, two practical cases are presented.     

Influence of national and engineering culture on team role selection

Engineering education is an emerging field of research. Due to its applied nature, recent theoretical developments have been followed by empirical evidence and interdisciplinary research. The present study attempted to describe the team roles assumed by members of project teams composed of young engineering students. The study was conducted in Pakistan by using the Belbin Team Role Self Perception Inventory. It was found that young Pakistani engineers assumed the roles of implementer, coordinator, shaper and team worker. This study attempts to understand role choices through the framework of national cultural dimensions proposed by Hofstede and engineering education culture offered by Godfrey and Parker. The study strongly recommends that engineering curriculum should incorporate activities which could foster creativity among engineers. Moreover, engineering students should be motivated to innovate through collaboration in a problem and project based environment, which is seriously lacking in engineering education of Pakistan.     

Business models and the managerial sensemaking process

This study examines the managerial sensemaking process around business models. Drawing on fieldwork, this study introduces a model to describe how managerial sensemaking occurs around business model development and use. This study shows that managerial sensemaking around business models occurs through a mutually co‐constituted process, a separate yet shared process, or a combination of them resulting from an interplay between sensemaking and sensegiving activities. To facilitate their sensemaking around business models, managers draw on several schemas. Over time, some schemas underlying business models remain unchanged, while others change in varying degrees.     

Buffett’s alpha: further explanations from a behavioral value investing perspective

Warren Buffett has had extraordinary success as an investor, but there is no agreement as to why. Some academic researchers attribute his performance to mere luck. Frazzini et al. (Financ Anal J 74(4):35–55, 2018), concluded that his alpha is due to leveraging safe, high-quality, and cheap stocks. However, there has been no analysis to date of Buffett’s performance from a behavioral perspective. We argue that Buffett’s success is partly due to qualitative and psychological factors, including tenacity, patience, avoidance of overconfidence, organizational culture, and the reputation effect. Using information from shareholder letters, writings, interviews, and speeches by Buffett and his colleague Charlie Munger, we demonstrate how such psychological factors, together with the quantitative findings of Frazzini et al., render a more complete and satisfying explanation of Buffett’s alpha.

     

Audit Firm Tenure and Audit Quality in a Constrained Market

We examine the relation between audit quality and audit firm tenure in the Iranian audit market, which is constrained by government policies that create intense competition for clients among many small audit firms. We develop arguments that these circumstances create cost pressures that entrench low audit quality and render auditors' plans more predictable to managers wishing to misstate their accounts. Using publicly available data for the audits of listed companies in Iran prior to mandatory audit firm rotation and the incidence of misstated financial reports identified by the Iranian Association of Certified Public Accountants Inspection Office, we find that the likelihood of a misstatement is lowest in the first two years of audit firm tenure. We also find that the likelihood of misstatement is not associated with the year preceding a mandatory audit firm rotation, suggesting outgoing auditor effort is not sensitive to the prospect of subsequent revelations of deficiencies. Although our results from a pre-mandatory rotation period show that frequent rotations appear to improve the financial reporting quality in our sample, we are wary of interpreting these results as support for the mandatory audit firm rotation policy in Iran. Rather, we suggest this is a peculiar consequence of deficiencies in audit quality inherent in the Iranian market.     

The Gravity Model Analysis of Bangladesh's Trade: A Panel Data Approach

The article applies generalized gravity models to analyze Bangladesh's bilateral trade pattern using the panel data estimation technique. The results reveal that Bangladesh's trade is positively determined by the size of the economies, per capita gross domestic product differential and openness of the trading countries. Bangladesh's exports are positively determined by its income, partner countries' total import demand and openness, but negatively determined by partner countries' income and domestic inflation. Bangladesh's imports are positively determined by income of trading countries and degree of openness of the partner countries and negatively determined by partner countries' inflation. Transportation costs affect Bangladesh's trade negatively.