Regional and copula estimation effects on EU and US energy equity portfolios

ABSTRACT

The aim of this paper is to investigate the regional interdependence structure of energy equities in the US and in the EU. Based on weekly stock prices of 28 big energy firms in the two regions from 2008 to 2019, we compare the efficiency of using bivariate or multivariate copulas to describe the dependence structure of energy equities. Furthermore, we investigate the impact of the choice between these two methods on the performance of energy equity portfolios. Our empirical results show that multivariate copulas, such as C-Vine, allow to better describe the dependence structure of energy equities. We also find that there is a stronger and more complex dependence structure among EU energy equities than among US energy equities. Our scenario analysis also shows that the dependence structure is stronger during the GFC while being weaker during the ESDC. More importantly, the correlation matrix obtained from the multivariate copula method allows to obtain optimal mean-CVaR portfolios with a higher performance than that from the bivariate copula method. More importantly, optimal portfolios constituted with multivariate copulas allow to reduce the portfolio’s sensitivity to oil prices.     

Provision of human capital by business schools of Pakistan: A need for the sustainability of the Pakistani banking sector

Economic growth of Pakistan through the banking sector relies heavily on the human capital dispensed to them by the Pakistani business schools. A conceptual model of the continuous improvement cycle for building human capital is developed through a literature review, with the aim of helping to generate human capital. Six semistructured interviews were conducted with bank branch managers and eight junior bank managers to gauge the extent to which this model was being followed so that the growth in the Pakistani banking sector remains. The results showed that a linear model was currently in place where there was no room for continuous improvement for building human capital for the banking sector.     

Doing Design Thinking: Conceptual Review,Synthesis, and Research Agenda

Design thinking has attracted considerable interest from practitioners and academics alike, as it offers a novel approach to innovation and problem‐solving. However, there appear to be substantial differences between promoters and critics about its essential attributes, applicability, and outcomes. To shed light on current knowledge and conceptualizations of design thinking we undertook a multiphase study. First, a systematic review of the design thinking literature enabled us to identify 10 principal attributes and 8 tools and methods. To validate and refine our findings, we then employed a card sorting exercise with professional designers. Finally, we undertook a cluster analysis to reveal structural patterns within the design thinking literature. Our research makes three principal contributions to design and innovation management theory and practice. First, in rigorously deriving 10 attributes and 8 essential tools and methods that support them from a broad and multidisciplinary assortment of articles, we bring much needed clarity and validity to a construct plagued by polysemy and thus threatened by “construct collapse.” Second, aided by the identification of perspectives of scholars writing about design thinking, we provide detailed recommendations for relevant topics warranting further study in order to advance theoretical understanding of design thinking and test its applications. Third, we identify the enduring, yet essential, questions that remain unresolved across the extant design thinking literature and that may impede its practical implementation. We also provide suggestions for the theoretic frames, which may help address them, and thus advance the ability of scholars and managers alike to benefit from design thinking’s apparent advantages.     

Asymmetric Nonlinear Impact of Oil Prices and Inflation on Residential Property Prices: a Case of US,UK and Canada

The Journal of Real Estate Finance and Economics - This paper examines the nonlinear impact of oil prices and inflation on residential prices in the US, the UK and Canada using quarterly data from...     

A comparative study of the application of systems thinking in achieving organizational effectiveness in Malaysian and Pakistani banks

The present work is a comparative study of the banking industry of Malaysia and Pakistan. The paper aims to measure the impact of individual systems thinking on the overall organizational effectiveness. Skilled individuals are considered as an asset of the organization especially when these individuals exhibit systems thinking capabilities that helps in achieving effectiveness. The sample consisted of 368 respondents belonging to lower and middle tier levels in the banking sector of both countries. The results indicate that Malaysian banking employees are ahead of their counterparts in Pakistan while applying systems thinking. The study is significant in enhancing the understanding of the importance of systems thinking for organizational effectiveness. The study has managerial implications for the top management of banks.     

Impact of corporate performance on stock price predictions in the UAE markets: Neuro-fuzzy model

Predicting stock price remains one of the challenges for investors' investment strategies. This study helps with accurate prediction and the main factors affecting variations in stock prices. It applies an adaptive neuro-fuzzy model on 58 listed firms from both the Abu Dhabi Securities Exchange and the Dubai Financial Market for the period 2014–2018 to estimate the predictive power of corporate performance measures and their significance. After examining four performance predictors—return on asset (ROA), return on equity (ROE), earning per share (EPS), and profit margin (PM)—the study finds that ROE is the most significant predictor and ROA is the least. EPS is the most influential profitability measure and PM the least.     

Lead indicator models and UK analysts' earnings forecasts

This study examines the predictive ability of models which adjust random walk forecasts of corporate earnings, to incorporate past changes in economic lead indicators. The results suggest that changes in the broad money supply measure M4 contain predictive ability, beyond equivalent changes in other lead indicators or an individual firm's earnings. When forecasts from the broad-money model are compared with forecasts generated by financial analysts a size effect is evident: the superiority of analysts' forecasts is apparent much earlier for large firms than for small firms. This result is consistent with studies suggesting a size-related differential in the collection and dissemination of information by market participants.     

Determinants of muslim consumers’ Halal meat consumption: applying and extending the theory of planned behavior

The purpose of this study is to investigate the determinants of Halal meat consumption within Turkish Muslim immigrants in Germany using the theory of planned behavior (TPB) as a conceptual framework. The role of self-identity as a Muslim, dietary acculturation in the host culture, moral obligation to purchase Halal meat, and trust on the authenticity of Halal meat is explored. A quantitative research methodology using an online questionnaire survey was used. Cross-sectional data were collected through a survey of 464 Muslims originating from Turkey and currently living in Germany. A positive personal attitude toward the consumption of Halal meat, motivation to comply others, the perceived control over consuming Halal meat, and the availability of Halal meat predict the intention to eat Halal meat among Muslims. This study is one of the few studies investigating the determinants of Halal meat consumption in a Muslim population in Germany using the TPB within a food, religion, and migration context.     

DISCRETE TIME HEDGING OF THE AMERICAN OPTION

In a complete financial market we consider the discrete time hedging of the American option with a convex payoff. It is well known that for the perfect hedging the writer of the option must trade continuously in time, which is impossible in practice. In reality, the writer hedges only at some discrete time instants. The perfect hedging requires the knowledge of the partial derivative of the value function of the American option in the underlying asset, the explicit form of which is unknown in most cases of practical importance. Several approximation methods have been developed for the calculation of the value function of the American option. We claim in this paper that having at hand any uniform approximation of the American option value function at equidistant discrete rebalancing times it is possible to construct a discrete time hedging portfolio, the value process of which uniformly approximates the value process of the continuous time perfect delta‐hedging portfolio. We are able to estimate the corresponding discrete time hedging error that leads to a complete justification of our hedging method for nonincreasing convex payoff functions including the important case of the American put. This method is essentially based on a new type square integral estimate for the derivative of an arbitrary convex function recently found by Shashiashvili.