The role of customer satisfaction in enhancing customer loyalty in Malaysian Islamic banks

This study examines the role of customer satisfaction in enhancing the loyalty of Muslim and non-Muslim customers in the Malaysian Islamic banking industry. Respondents are the customers (Muslim and non-Muslim customers) visiting the bank counters and have an account with Islamic banks. A total of 660 questionnaires were distributed, and 440 were returned. The results indicate that customer satisfaction has a statistically significant positive effect on customer loyalty and intentions to switch for Muslim and non-Muslim customers. However, there were significant differences in the effects of customer satisfaction on customer loyalty and intention to switch for Muslim and non-Muslim customers. The effect of customer satisfaction on customer loyalty and intention to switch is greater for the non-Muslim than the Muslim customers.     

Poverty and Other Determinants of Child Labor in Bangladesh

In this research we examine poverty and other determinants of child labor in Bangladesh. We define income quintiles as a means of measuring family poverty and add child and family characteristics to our model. We estimate the likelihood that a child will work, using separate logistic regression models for younger and older boys and girls in urban and rural areas. Our results support the notion that a family's poverty affects the probability that a child will work; keeping children away from work is a luxury these families cannot afford. Moreover, it is important to examine separate demographic groups in order to fully understand the determinants of child labor in Bangladesh since the effects of child and family variables on the probability that a child will work differ among these groups.     

Does Zero Tillage Improve the Livelihoods of Smallholder Cropping Farmers?

The biophysical benefits of zero tillage (ZT) are well documented in the literature. However, the literature on its economic benefits, especially in the context of small and medium‐scale farmers in the temperate developing world is scanty. Using a study of 621 wheat farmers in Syria, we provide empirical evidence on the impacts of adoption of ZT on farm income and wheat consumption. We use propensity score matching (PSM) and endogenous switching regression (ESR) approaches to account for potential selection biases. After controlling for confounding factors, we find that adoption of the ZT technology leads to a US$ 189/ha (33%) increase in net crop income and a 26 kg (34%) gain in per capita wheat consumption per year (adult equivalent) – an indication of meaningful changes in the livelihoods of the farm households. Besides the biophysical and environmental benefits documented elsewhere, our results suggest that adoption of ZT can also be justified on economic and food security grounds. Therefore, ZT can have sizeable impacts in transforming the agricultural sector in the temperate developing world provided that the technology is well promoted and adopted.     

Competitive Storage,Biofuels and the Corn Price

The use of corn as an ethanol feedstock has been stimulated by US biofuels policy. This has changed both the position and the slope of the corn demand curve and increased the pass-through from crude oil to corn prices. The principal constraints on ethanol consumption and production have been regulation (the biofuels mandate), capacity constraints in ethanol refining and the blend wall, which puts a ceiling on the ethanol content of gasoline. The incidence of these constraints has varied over time. We model these impacts within the competitive storage model using structural break regression analysis. Our analysis shows that the pass-through has varied over time in relation to the share of ethanol in total US corn use. Our analysis provides robust empirical evidence of an increase in the pass-through from crude oil to corn prices over the period from the start of the century to a high level over 2004–2008 when corn use in ethanol was growing very fast. This enhanced sensitivity was driven by competition for corn as an ethanol feedstock with stock demand exerting strong upward pressure on the corn price.     

Investor Sentiment,Misstatements, and Auditor Behavior*

High investor sentiment has been linked with opportunistic managerial behavior in the face of more optimistic investors and analysts. We extend this line of work by documenting that the likelihood of misstatements is higher when sentiment is high. Although this would suggest elevated audit risk, we posit that a contemporaneous reduction in auditors' litigation cost could drive down audit fees and going concern opinion (GCO) reporting conservatism in order to please clientele. Consistent with this notion, we document that auditors charge lower fees and report GCOs less conservatively when sentiment is high. However, this reduction in reporting conservatism is unwarranted; results reveal that auditors are less likely to issue GCOs to clients which subsequently file for bankruptcy during high sentiment periods. We conduct additional tests to examine whether auditors' litigation costs indeed vary with sentiment and document that auditors are less likely to be sued and the market reacts less negatively to misstatement announcements when sentiment is high. Collectively, our findings suggest that, although misstatement risk is increasing with sentiment, auditors' litigation risk actually declines.     

Crack spread option pricing with copulas

A copula-based approach for pricing crack spread options is described. Crack spread options are currently priced assuming joint normal distributions of returns and linear dependence. Statistical evidence indicates that these assumptions are at odds with the empirical data. Furthermore, the unique features of energy commodities, such as mean reversion and seasonality, are ignored in standard models. We develop two copula-based crack spread option models using a simulation approach that address these gaps. Our results indicate that the Gumbel copula and standard models (binomial, and Kirk and Aron (1995)) mis-price a crack spread option and that the Clayton model is more appropriate. We contribute to the energy derivatives literature by illustrating the application of copula models to the pricing of a heating oil–crude oil “crack” spread option.     

Quantification of Operational Risk: A Scenario-Based Approach

In this article, I identify challenges to the loss distribution approach in modeling operational risk. I propose a scenario-based methodology for operational risk assessment, which recognizes that each risk can occur under a number of wide-ranging scenarios and that association between risks may behave differently for different scenarios. The model that is developed internally in the company provides a practical quantitative assessment of risk exposure that reflects a deep understanding of the company and its environment, making the risk calculation more responsive to the actual state, ensuring that the company is attending to its key operational risks. In this model qualitative and quantitative approaches are combined to build a loss distribution for individual and aggregate operational risk exposure. The model helps to portray the company's internal control systems and aspects of business environment. These features can help the company increase its operational efficiency, reduce loss from undesirable incidents, and maintain the integrity of internal control.     

Sustainable development of forest resources in industrialized countries

There is no general consensus about what sustainable development means. We seek to clarify the meaning and utility of the concept by focusing on forest resources in countries possessing higher levels of per capita incomes. The meaning of sustainable development becomes complex when one asks what social goals are being pursued, what types of stability are permitted, whether amenities and commodities should receive equal consideration, and to what landbase the concept should be applied. A simulation/linear programming model of California's private forest resource is used to demonstrate that strict decade-to-decade ‘even-flow’ stability of production may result in lower aggregate levels of output over a prolonged planning period, with ending levels of the stock resource that are scarcely greater than when output is permitted to vary over the planning period. The model was also used to show that greater levels of output and ending stocks are possible when the land base for sustainability assessment is not a restrictively small geographical area or a single class of ownership. In the case of National Forests and other public lands, the application of the sustainable development concept is significantly more complex because of the importance of amenity values and because of the inherent conflict between development and the preservation of ecosystems in a pristine state.     

CONVERGENCE OF AMERICAN OPTION VALUES FROM DISCRETE- TO CONTINUOUS-TIME FINANCIAL MODELS1

Given a sequence of discrete-time option valuation models in which the sequence of processes defining the state variables converges weakly to a diffusion, we prove that the sequence of American option values obtained from these discrete-time models also converges to the corresponding value obtained from the continuous-time model for the standard models in the finance/economics literature. the convergence proof carries over to the case when the limiting risky asset price process follows a diffusion, except it pays discrete dividends on some fixed dates.