CONTROLLING SERIOUS FINANCIAL CRIME: A JAMAICAN PERSPECTIVE

This paper examines the approach taken by Jamaica to control money laundering, terrorist financing and market abuse. With respect to money laundering and terrorist financing, the discussion involves a review of the statutory offences, the confiscation/forfeiture regime and the reporting obligations imposed on the financial sector. The analysis of market abuse focuses on both insider dealing and market manipulation.     

Parental Income and Continuing Education of Second Generation Immigrants in Sweden

Understanding the economic integration of minority ethnic communities requires an analysis of the educational process. This paper examines second‐generation immigrant youths’ educational attainments in comparison with those of similarly aged native Swedes. Binomial‐logit, grouped‐regression and multinomial‐logit models are applied to longitudinal data, 1991–1996. The results give evidence for socioeconomic determinants of post‐compulsory education and for parental influence on educational choices. Parental income affects second‐generation immigrants’ post‐compulsory education and Swedes’ choice of level of education. In general, the stronger the labour market positions of the parents, the higher the probability of the children continuing education. It is also found that the geographical origin of second‐generation immigrants matter, with youths of Asian origin having a higher probability of continuing their education. We suggest policy changes on different levels based on the evidence of the paper, as short‐run, long‐run and in general.     

Consumer credit and monetary policy in Malaysia

What is the impact of monetary policy on the Malaysian consumer? The study addresses this issue by empirically investigating the consequences of interest rate shocks on consumer credit in Malaysia. The study relies on the impulse response functions and the variance decomposition analysis based on the structural Vector Auto‐regression methodology. Apart from analysing the responses of aggregate consumer loans (ACL) to interest rate changes, further disaggregation is made in efforts to arrive at more detailed findings. In particular, the ACL data are categorized into loans for purchase of residential property, loans for personal uses, loans for credit cards, loans for purchase of consumer durables, loans for purchase of passenger cars and loans for purchase of securities. Through this disaggregation, the study shows the relative sensitivity of the various types of consumer loans to interest rate shocks.     

Quantifying the socio-economic determinants of sustainable crop production: an application to wheat cultivation in the Tarai of Nepal

This study specifies a procedure to quantify the determinants of sustainable crop production, and applies the method to wheat cultivation in the Tarai of Nepal. Three aspects of sustainability were considered. First, the fertility of the land was found to have deteriorated owing to long-term practices incompatible with soil and drainage conditions. Three-quarters of the farmers had reduced land fertility and for one-third of them the wheat yield was at least 20% lower than for farmers who applied farmyard manure to every crop and adopted a rotation consistent with soil and drainage conditions. Secondly, the study found that it was possible to improve resource-use efficiency in wheat production to give 25% higher production at current levels, type, and quality of farm resources. Resource-use efficiency was significantly related to farm management practices such as crop stand, variety, disease, and land preparation quality, and socio-economic factors such as off-farm job opportunities, poor plot accessibility, and migration. Thirdly, the increasing population pressure on land, decreasing livestock number per cropped area, and diminishing fuel wood sources, significantly reduced farm-based nutrient cycling because farmyard manure had to be used for fuel. This had implications for the higher use of the fossil-based inputs in crop production.     

An Investigation of the Association between Cultural Dimensions and Variations in Perceived Use of and Compliance with Internal Auditing Standards in 19 Countries

Using a large sample of chief audit executives and internal audit managers from 19 countries, we investigate potential associations between cultural dimensions and variations in perceived use/compliance with the internal auditing standards. We find uncertainty avoidance to be inversely related to both use and compliance. We also find assertiveness and human orientation to be positively related to compliance but not to use of Standards. Among control variables, we find positive associations for the length of Institute of Internal Auditors (IIA) membership, professional certification in internal auditing, and hours of continuing professional education (CPE) training on both perceived use and compliance. Finally, we find “Cost of compliance” and “Compliance not expected in my country” to be inversely related to perceived use/compliance. Implications of these findings are discussed.     

Flood Insurance Coverage in the Coastal Zone

We explore determinants of flood insurance demand in the coastal zone using micro‐data for nine Southeastern counties. Overall estimates indicate price inelastic demand, though subsidized policyholders have greater coverage and are more price sensitive. Mortgage borrowers exhibit no greater coverage; only 12 percent in 100‐year flood zone indicate flood insurance was required by their lender. Flood insurance demand is increasing in the levels of flood and erosion risk. We find a positive correlation between household income and coverage, but the effect is not monotonic. Community‐level erosion hazard mitigation projects influence flood insurance coverage, with beach replenishment acting as a complement.     

Consumption-based CAPM models: International evidence

We examine the performance of several types of the consumption-based CAPM (C-CAPM) models to explore if consumption factors matter for determining excess returns across 17 MSCI country indexes. While the classic world C-CAPM does exhibit some power in explaining cross-sectional variations of expected excess returns, the model seems to require an implausibly large coefficient of risk aversion. The more sophisticated models including the heterogeneous C-CAPM, the world surplus consumption and the habit-formation models provide more reasonable estimates and add substantial explanatory power for the variation in the cross section of excess stock returns. Our results suggest that country-specific consumption risk is not fully diversified thus implying that stock returns are related to idiosyncratic consumption risk.     

MODELLING THE ADAPTATION OF BUSINESS CONTINUITY PLANNING BY BUSINESSES USING NEURAL NETWORKS

Business continuity planning is an important element of business continuity management and is regarded as a fundamental step towards reducing the negative impacts of business disruptions caused by internal and external hazardous events. Many businesses are not prepared for such events, and very few studies have tried to examine and model the factors that contribute to business continuity management planning by various companies. In this paper we propose and develop a feed‐forward neural network for modelling businesses continuity planning by businesses based on a dataset of 283 businesses operating in the Greater Toronto Area in Ontario, Canada. The fully connected neural network applied was trained on 65 % of the dataset records using different subsets of input variables. In order to preserve the generalization ability of the trained network, 15 % of the dataset records were used as a validation set for early stopping during the network's training process. Prediction capability of the trained networks was evaluated on 20 % and never‐seen records of the dataset. The classification ability of the networks was then analysed using receiver operating characteristic and detection error trade‐off curves, where the results obtained were promising. The equal error rate for the best models was 12 %, which reflects a very good accuracy of these models in predicting the existence of business continuity planning for a generic company. Copyright © 2011 John Wiley & Sons, Ltd.