Are good financial advisors really good? The performance of investment banks in the M&;A market

The study examines whether prestigious investment banks deliver quality gains to their clients in a sample of 6,379 US M&A deals. It finds that acquirers advised by tier-one advisors lost more than $42 billion, whereas those advised by tier-two advisors gained $42 billion, whereas those advised by tier-two advisors gained 13.5 billion at the merger announcement. The results were mainly driven by the large loss deals advised by tier-one advisors. The evidence indicates that investment banks might have different incentives when they advise on large deals vs. small deals. The results imply that market share based reputation league tables, could be misleading and therefore, the selection of investment banks should be based on their track record in generating gains to their clients. The findings were consistent with the superior deal hypothesis as tier-one target advisors outperformed tier-two advisors and the existence of a prestigious advisor on at least one side of an M&A transaction resulted in higher wealth gains to the combined entity. Target advisors were able to extract more wealth gains for their clients, which led to higher combined gains at the expense of the acquirer.     

Examining shopping mall consumer decision-making styles,satisfaction and purchase intention

Understanding consumer decision-making (CDM) styles is essential for market segmentation, positioning and crafting marketing strategies within a market. Few studies have examined the structural relationship among decision-making styles that consumers exhibit during mall shopping, level of satisfaction and purchase intention. The purpose of this study was to examine CDM styles as the antecedents and predictors of level of satisfaction and purchase intention. Based on the Consumer Styles Inventory, eight CDM styles that individual exhibit during shopping mall activities are proposed in terms of utilitarian and hedonic perspectives. We hypothesize these eight CDM styles as a set of predictors of customer satisfaction and purchase intention. A total of 327 valid paper-and-pencil questionnaires were collected from several shopping malls in Kuala Lumpur, Malaysia. Partial least squares (PLS) path modelling approach, a structural equation modelling (PLS-SEM) technique was performed to test the proposed structural relationships. The empirical assessment supports that hedonic shopping styles consumers that exhibit high level of habitual, brand consciousness, fashion consciosness, recreational conscious style have lower levels of satisfaction and purchase intention during mall shopping while novelty and fashion conscious style consumers have lower level of satisfaction but do not unveil lower purchase intention. Utilitarian shopping styles consumers that exhibit high level of price conscious, confused by overchoice and high-quality conscious style have higher levels of satisfaction while impulsive/careless shoppers do not; and while price conscious, impulsive/careless, confused by overchoice consumers have higher levels of purchase intention but the high-quality conscious consumers do not unveil higher purchase intention. Further, there is a positive relationship between satisfaction and purchase intention. The practical and managerial implications are discussed.     

Occupational Segregation and Gender Wage Differentials: Evidence from Malaysia

In Malaysia, the participation of women in the labor market has increased over time. However, occupational segregation and wage differentials continue to be prevalent between men and women in the labor market. The present paper investigates gender‐related occupational segregation and wage differentials based on data collected from 7135 working households in Peninsular Malaysia in 2011. The wage decomposition model introduced by Brown et al. (1980) is used to examine the determinants of gender‐related wage differentials. The results suggest that differences within occupations account for the largest portion of the wage gap between men and women. The results also indicate that wage discrimination within occupations plays an important role in the gender wage gap, while sample selection bias plays an important role in the examination of gender wage gaps.     

Applying free random variables to random matrix analysis of financial data. Part I: The Gaussian case

We apply the concept of free random variables to doubly correlated (Gaussian) Wishart random matrix models, appearing, for example, in a multivariate analysis of financial time series, and displaying both inter-asset cross-covariances and temporal auto-covariances. We give a comprehensive introduction to the rich financial reality behind such models. We explain in an elementary way the main techniques of free random variables calculus, with a view to promoting them in the quantitative finance community. We apply our findings to tackle several financially relevant problems, such as a universe of assets displaying exponentially decaying temporal covariances, or the exponentially weighted moving average, both with an arbitrary structure of cross-covariances.     

Diffusion of environmental business practices: A network approach

The purpose of this research is to build a conceptual foundation that examines network effects on the diffusion of environmental business practices (EBP) among suppliers. This research extends a network perspective to adoption of an environmental business practice across a large network of suppliers. The context of EBP is used to better understand adoption of a complex business practice, with perceived costs that are often greater than the perceived benefit. Variation in the level of structural and relationship embeddedness affect network diffusion of environmental business practices differently. Increased levels of structural and relational embeddedness are proposed to be positively associated with diffusion of EBP. From a practical standpoint, firms that leverage embeddedness may facilitate higher diffusion and adoption of environmental business practices. This facilitation may lead network actors to engage in EBP, and leverage benefits that may stem from these practices. This research introduces the concept of embeddedness to the environmental supply chain literature. Practicing managers can use the findings in this research to better position themselves within a network to diffuse EBP. This research also helps managers understand how supply chain members that are weakly connected to the primary network are important for introducing new ideas and innovations.     

Organizational Sustainability Determinants in Different Cultural Settings: A Conceptual Framework

Since the link between organizations’ sustainability initiatives and effects from the societal environment has not been consistently established in the literature, this paper provides a conceptual framework to demonstrate the antecedents to the levels of sustainability initiatives undertaken by firms. Taking insights from institutional theory, it proposes that the relationship between the sustainability determinants and the level of sustainability initiatives is mediated by coercive, mimetic and normative isomorphic pressures. Moreover, it suggests that culture plays a significant role in moderating the extent to which the various types of isomorphic pressure on firms may influence the levels of firms’ sustainability initiatives. The implications of the framework are discussed in the light of encouraging sustainability initiatives and overall sustainable development in various cultural settings as well as undertaking future research to enhance the framework and its applicability. Copyright © 2018 John Wiley & Sons, Ltd and ERP Environment     

Poverty Reduction Effects of Agricultural Technology Adoption: The Case of Improved Cassava Varieties in Nigeria

We use DNA‐fingerprinting to estimate the poverty reduction effect of adoption of improved cassava varieties in Nigeria. We estimate the counterfactual household income distribution of cassava producers by combining farm‐level treatment effects with a market‐level model. Our results suggest that adoption of improved cassava varieties has led to a 4.6 percentage point reduction in poverty, though this is sensitive to the measurement of adoption status. Therefore, accurate measurement of adoption is crucial for a more credible estimate of the poverty reduction effect of adoption. Our analysis also suggests that farmers who are more likely to be adopters are also likely to face higher structural costs. Addressing structural barriers that make improved technologies less profitable for the poor would therefore be important to increase the poverty reduction effect of improved cassava varieties.     

Estimating volatility clustering and variance risk premium effects on bank default indicators

Review of Quantitative Finance and Accounting - Default risk increases substantially during financial stress times due to mainly the two reasons: volatility clustering and investors’ desire...     

What drives global B2B e-commerce usage: an analysis of the effect of the complexity of trading system and competition pressure

The purpose of this paper is to examine the conditions in which B2B e-commerce is most likely to diffuse widely at the country level. This paper examines the role of trading system complexity and pressure of competition on B2B EC diffusion by controlling Gross domestic product (GDP) per capita and Information and Communication Technology (ICT) infrastructure. Our sample comprises a pool of country-year dataset from 143 countries over a three-year period (2014–2016). The data were collected from Network Readiness Index Report and Global Competitiveness Report. The findings provide evidence that greater the complexity of trading relationships with the global economy and high level of pressure from the competition are the main forces for B2B use across countries. Consequently, the authors suggest that having a strong trade relationship with developed countries with matured B2B e-commerce practice is helpful in sustaining B2B e-commerce use across countries.     

Enhancing green product and process innovation: Towards an integrative framework of knowledge acquisition and environmental investment

Despite the increasing interest in green innovation literature, little is known on how and under what conditions firms' knowledge transfer activities affect green innovation. There is lack of research that on how particular organizational capabilities are seen more useful and how it influences on green innovation performance. To address this research gap, we examine a mediation model in which we explore whether a firm's knowledge acquisition capability and investment in environmental management mediate the impact of buyer-driven knowledge transfer activities on green product innovation and green process innovation. On the basis of an analysis of a sample of 239 manufacturing firms, we find that buyer-driven knowledge activities have a greater positive impact on green product innovation than green process innovation. Investment in environmental management fully mediates the relationship between buyer-driven knowledge transfer activities and green process innovation, and knowledge acquisition capability partially mediates the relationship between buyer-driven knowledge transfer activities and green product innovation. The current study provides evidence that internal competencies and the role of buyers in knowledge transfer are critical for explaining the green product innovation and green process innovation. Our results suggest that buyer involvement pushes firms to develop resource acquisition capability to enhance green product innovation. Our results also highlight the importance of investment in environmental management for overcoming the environmental challenges in the manufacturing firms.