Mean–variance and mean–semivariance portfolio selection: a multivariate nonparametric approach

While univariate nonparametric estimation methods have been developed for estimating returns in mean-downside risk portfolio optimization, the problem of handling possible cross-correlations in a vector of asset returns has not been addressed in portfolio selection. We present a novel multivariate nonparametric portfolio optimization procedure using kernel-based estimators of the conditional mean and the conditional median. The method accounts for the covariance structure information from the full set of returns. We also provide two computational algorithms to implement the estimators. Via the analysis of 24 French stock market returns, we evaluate the in-sample and out-of-sample performance of both portfolio selection algorithms against optimal portfolios selected by classical and univariate nonparametric methods for three highly different time periods and different levels of expected return. By allowing for cross-correlations among returns, our results suggest that the proposed multivariate nonparametric method is a useful extension of standard univariate nonparametric portfolio selection approaches.     

Political patronage and analysts’ forecast precision

We test whether the channel by which the government plays the role of political patron to selected firms influences analysts’ forecast precision in Malaysia. Correcting for analysts’ self-selection bias, we find a negative relation between analysts’ forecast errors and the social dimension of political patronage, as proxied by government-controlled institutional ownership. The reverse is found for the economic dimension of political patronage, as proxied by the percentage shareholding of government-linked corporations. We find no evidence that the personal dimension of political patronage influences analysts’ forecast precision.     

Risk-Taking Behavior and Capital Adequacy in a Mixed Banking System: New Evidence from Malaysia Using Dynamic OLS and Two-Step Dynamic System GMM Estimators

This study is the first attempt to investigate the relationship between the level of risky assets and capital level in a mixed Malaysian banking system covering 83 months starting December 2006. The results of dynamic ordinary least squares indicate positive relationship between capital ratio (CAR) and risk-weighted asset ratio (RWA) in the long run. Furthermore, the causality analysis based on panel vector error correction model (VECM) and two-step dynamic system generalized method of moments indicates unidirectional causality from CAR to RWA. Our results further suggest that higher capital growth and capital buffer provide an extra cushion for the Malaysian banks to pursue relatively riskier financial activities, and the nature of risk-taking behavior of Islamic banks follows that of the conventional banks.     

Purchasing Power Parity under Regime Shifts: An Application to Asian Countries*

This paper re‐examines the long‐run purchasing power parity (PPP) relationship for nine Asian countries relative to the USA and Japan during a period containing significant structural breaks. The relevance of considering structural breaks in PPP tests is demonstrated by utilizing the Johansen et al. (2000) procedure that allows for up to two pre‐determined structural breaks. Using conventional tests without considering breaks, one is able to reject the null of no cointegration for only four countries. The Johansen et al. procedure clearly demonstrates the importance of allowing for structural breaks and provides strong support for long‐run PPP for all the countries, regardless of the base country, except in the case of the Philippines vis‐à‐vis Japan. The Hansen–Johansen parameter constancy test indicates stability for all the countries except the Philippines relative to the USA and Malaysia relative to Japan.     

The Role of Telepresence and User Engagement in Co-Creation Value and Purchase Intention: Online Retail Context

Using the technology of three-dimensional (3D) product presentation within online retailing, the current study aims to explore the role of telepresence and its determinants (control, color vividness, and 3D authenticity) in enhancing user engagement, which in turn impacts co-creation value and purchase intention. To test the proposed hypotheses, this research developed a hypothetical online retailer website, which presented a variety of 3D laptops that users could co-create, change the color, and control the content and form of. This research collected the data from Jordanian consumer panel members via online self-administered questionnaires. This research finds that control, color vividness, and 3D authenticity are the main determinants of telepresence. Furthermore, this research finds that telepresence has a positive impact on user engagement, which in turn positively impacts co-creation value and purchase intentions. This research finds that co-creation value impacts purchase intentions. The current findings contribute to the online retailing literature by connecting user engagement with co-creation value, as previous research had focused on one of them but not the link between them.     

The impact of microfinance on poverty and income inequality in developing countries

Economic growth in developing countries provides an opportunity to accelerate progress towards the UN Sustainable Development Goals (SDGs). However, in reality, the number of people living in extreme poverty remains unacceptably high. Utilising the experiences of 34 developing countries for the period 2009 to 2016, the role of microfinance on poverty in these countries is examined. The results imply that the degree to which the existing forms of microfinance effectively reduce extreme poverty is less workable in developing countries, particularly when the hardcore poor are likely being deprived of receiving access to microfinance. It is suggested that governments may need to revise the structure and strategy of microfinance to be more hardcore poor oriented. The hardcore poor have needs beyond pure monetary assistance. More hand‐holding types of assistance are needed as most are also poor in respect of literacy, assets, and skills.     

Tax planning,corporate governance and equity value

Tax planning by firms is a highly significant activity. After audit fees, tax related services are the largest source of fee income for UK accounting firms. When viewed in terms of its impact, tax planning is the major source of the corporation tax gap amongst large firms (HMRC, 2010). Although traditionally tax planning has been viewed as benefiting shareholders via increased after tax earnings, more recently the underlying motivation has been questioned. Desai and Dharmapala (2006) argue that when an information asymmetry exists between managers and shareholders with respect to tax planning, it can facilitate managers acting in their own interests resulting in a negative association between tax planning and firm value. Using a sample of UK quoted firms from 2005 to 2007 and data drawn from International Accounting Standard 12 Income Taxes (IASB, 2010) Effective Tax Rate (ETR) reconciliations, this paper reports such a negative relationship. Further, the relationship is robust to the inclusion of corporate governance measures which could be expected to moderate the potential implications of a tax related shareholder–manager information asymmetry. An innovation of this paper is in using the ETR reconciliations to examine sub-categories of tax planning activities. The paper contributes to the debate of who determines, and benefits from tax planning conducted by firms. Its findings have direct policy relevance for shareholders and tax administrations in monitoring and controlling firms’ tax planning activities.     

Conflicting Bifuzzy Multi-attribute Group Decision Making Model with Application to Flood Control Project

We propose a group decision making model based on conflicting bifuzzy sets (CBFS) where evaluation are bi-valued in accordance to the subjective assessment obtained from the experts for the positive and negative views. This paper discusses the weighting methods for particular attribute and subattribute with emphasis given to the unification of subjective and objective weights. The integration of CBFS in the model is naturally done by extending the fuzzy evaluation in parallel with the intuitionistic fuzzy. We introduce a new technique to compute the similarity measure, being the degree of agreement between the experts. We end up the paper by demonstrating the applicability of the proposed model to the empirical case of flood control project, one of the project selection problems.