Interest rate,size and book-to-market effects in Australian financial firms

The Fama–French three-factor model (1993) has been extensively used to study the pricing of nonfinancial stocks. This study provides the first examination of the pricing of Australian financial stocks using the Fama–French framework. The four-factor model (market, size, book-to-market and momentum) augmented with the level, slope and curvature of the interest rate term structure is used to examine the pricing of Australian financial stocks. The interest rate factors have not been previously considered for pricing Australian stocks within the Fama–French framework. Consistent with US evidence, we use a system-based estimation to show that the size and book-to-market factors are not priced in the cross section of the equity returns of Australian financial stocks. Momentum and term spread are priced in the equity returns of both financial and nonfinancial stocks. These findings are robust to the inclusion of control variables such as default spread, the inflation rate and a dummy variable for the global financial crisis.     

Remittances and output in Bangladesh: an ARDL bounds testing approach to cointegration

Although the relationship between remittances and output is still inconclusive in literature, most studies find that remittances have a positive effect on output in the long run. Contrary to this conventional direction of causality from remittances to output, our study finds that output alone determined long-run movements in remittances in a positive direction in the Bangladesh economy over the last 35 years from 1976 to 2010. We use the autoregressive distributive lag (ARDL) bounds testing approach to cointegration to explore this long-run relationship. Surprisingly, remittances do not appear to be a long-run forcing variable to the explanation of Bangladesh’s output over the same period. While examining the channels of this output–remittance mechanism remains an area of research for the future, we hypothesize that the rise in remittances in response to increased income occurs through higher import demand and greater investment opportunities. This finding implies that Bangladeshi policymakers can influence remittances through national output in the long run.     

Antecedents of importer relationship performance in Latin America

Emerging market importers are increasingly engaging in relationships with foreign suppliers. Nevertheless, characteristics of the institutional and cultural environments of countries may affect relationship behavior. Furthermore, research on relationship marketing primarily focuses on the marketing activities of exporters from developed countries and much less attention is paid to the import side of the exchange process. Thus, the objective of this study is to empirically examine importer relationship performance in a Latin American context. This article proposes and tests a conceptual model that includes the antecedents and outcomes of trust and commitment with a survey of Chilean importers. The model uses confirmatory factor analysis (CFA) to develop the construct measures and structural equation modeling (SEM) to test the model. The findings of this study contribute to a better understanding of the driving forces of trust and commitment and their influence on importing firms' performance in an emerging market context.     

Did the regulatory changes of 1999 and 2001 affect income smoothing behavior of US banks?

This study examines the impact of the regulatory changes introduced by the Federal Financial Institutions Examination Council (FFIEC) in 1999 and by the Securities and Exchange Commission and FFIEC in 2001 on the income smoothing approaches and mechanisms employed by the United States (US) banking industry. We find that the relationship between previous quarter charge-offs and current quarter recoveries that was prevalent in the 1990’s to be insignificant for homogeneous loans but for heterogeneous loans the relationship became significant in the years following the regulatory changes. Recoveries are positively and significantly associated with the surprise net interest margin or return on assets which implies recoveries are primarily determined by the economic realities of the charged-off loans. The regulatory changes have strengthened the relationship between current quarter recoveries from heterogeneous loans and current quarter charge-offs but for homogeneous loans this relationship weakened insignificantly. The new regulations reduced the surprise gross loan charge-offs suggesting that the enforcement improved the accuracy of the provision as a predictor of next quarter’s gross loan charge-offs.

     

Factors influencing individual in adopting eWallet

This research examines individuals’ feasibility of adopting digital wallet also known as ‘eWallet.’ It aims at assessing the technological readiness among customers especially youth by measuring the acceptance level of digital wallet adoption in a massive implementation of the digital economy. Adoption of eWallet can potentially enhance the efficiency of financial institutions and the provision of new services for the convenience of the customers. The nature of this study was developed in the context of South East Asia focusing on Brunei Darussalam. The study using a framework for assessment based on the unified theory of acceptance and use of technology model revealed that the main construct of the model to be predictors of behavioral intention, was attitude towards using technology and anxiety. These results might be as a result of the millennial generation being in constant interaction with various types of technology, paired with the rising Internet connectivity leading to the minimal impact of the digital wallet adoption.

     

Measuring consumer understanding and perception of eco‐labelling: Item selection and scale validation

The use of “eco‐labels” by businesses, both as communication and positioning strategies, is increasing. For these eco‐labels to be effective, however, it requires consumers to understand and value what eco‐labels are communicating. Research suggests that there are many factors impeding consumers’ understanding of eco‐labels . Most of these studies have focused on single dimensions of a complex phenomenon and in doing so they have ignored the multifaceted aspects of the construct, suggesting that a more integrated representation is warranted. The work herein undertakes four studies to empirically test and validate a multidimensional measure that can be used to assess how consumers psychometrically understand and perceive eco‐labelling. The four‐study process involves qualitative interviews to extend the issues identified within the literature, followed by two studies using principal component analysis, confirmatory factor analysis and structural equation modelling analysis, each using separate samples, to test the reliability and validity of the proposed eight‐dimensional 27‐item ECOLSCALE. Another study is then undertaken to assess the nomological validity of the scale regarding to consumers’ environmental orientation. The ECOLSCALE developed in this work can be used to assist marketers, policy makers and researchers to evaluate the impact of eco‐labelling schemes on consumers’ understanding of eco‐labels, thereby enabling consumers to make more environmentally informed decisions.     

Data mining in road crash analysis: the context of developing countries

The recent advancements in the field of data mining have made vast progress in extracting new information and hidden patterns from large datasets which are often overlooked by the traditional statistical approaches. These methods focus on searching for new and interesting hypothesis which were previously unobserved. Road safety researchers working with the crash data from developed world have seen encouraging success in obtaining new insight into crash mechanism through data mining. An attempt was made in this study to apply these advance methods and evaluate their performance in manifesting crash causes for Bangladesh. The study applies hierarchical clustering to identify hazardous clusters, random forest to find important variables explaining each of these clusters, and classification and regression trees to unveil their respective crash mechanisms for the road crash data of Bangladesh. The results identified several new interesting relationships and acknowledged issues related to quality of data.     

Should Bangladesh Export to Countries with Better Institutional or Comparatively Similar Institutional Form?

Using panel data for the years 2006–2015, this study empirically investigates the effect of rule of law as an institution on Bangladesh's exports to 28 European Union countries (EU28) based on gravity model analysis. Two-step econometric results suggest that institutional rule of law is strongly associated with Bangladesh's exports, and institutional quality provides evidence of this significant effect. Furthermore, exports of Bangladesh are driven by economic size, market size, and the real exchange rate as well as rule of law. These results are suggestive of an important joint role for both trade and institutions in the long run.