Neural network forecasting of quarterly accounting earnings

This study uses an artificial neural network model to forecast quarterly accounting earnings for a sample of 296 corporations trading on the New York stock exchange. The resulting forecast errors are shown to be significantly larger (smaller) than those generated by the parsimonious Brown-Rozeff and Griffin-Watts (Foster) linear time series models, bringing into question the potential usefulness of neural network models in forecasting quarterly accounting earnings. This study confirms the conjecture by Chatfield and Hill et al. that neural network models are context sensitive. In particular, this study shows that neural network models are not necessarily superior to linear time series models even when the data are financial, seasonal and non-linear.     

Are Reviewers' Judgements Influenced by Memo Structure and Conclusions Documented in Audit Workpapers?*

This paper investigates how the initial conclusion reached by the preparer of audit workpapers and the manner with which the preparer structures the associated evidence can influence the reviewer's judgement in an audit setting. We conducted an experiment in which auditors reviewed the work of a preparer who had concluded that the account of the client's major customer was either collectible or not collectible. The preparer's memo was structured in a neutral manner or stylized to emphasize (de‐emphasize) evidence consistent (inconsistent) with the preparer's conclusion. Results showed that reviewers placed less reliance on the conclusions reached by the preparer when the preparer's memo was stylized than when the memo was structured in a neutral manner. These results suggest that reviewers are sensitive to stylization attempts by preparers. Implications of the paper are discussed.     

Costs of in-house genomic profiling and implications for economic evaluation: a case example of non-small cell lung cancer (NSCLC)

Abstract

Objectives

Genomic profiling in oncology is vital for determining eligible patients for mutation-specific targeted therapies. Use of commercial genomic testing has the potential to improve patient outcomes. Economic evaluations of in-house genomic profiling typically only include material costs while external commercial services include many other factors. Using non-small cell lung cancer (NSCLC) as an example, this study sought to characterize the unique challenges of costing testing services and their impact on results of economic evaluations.     

Is Price in Hong Kong That Flexible? Evidence from the Export Sector

Using the Johansen procedure, this paper estimates and compares the adjustment speeds of Hong Kong's export volume and export price. Result of this will have profound implications on the debate of the appropriateness of Hong Kong's current exchange-rate system.
Two cointegrating vectors were found in our system, with one postulating the export volume equation and another postulating the export price equation. It was found that export volume will adjust relatively fast to shocks in the export volume equation, and that export price will adjust relatively slow to shocks in the export volume equation. On the other hand, export volume will be insensitive, and export price will adjust at moderate speed, to disequilibrium in the export price equation. Based on the estimated model, we also conducted simulation exercises to highlight the impacts of the appreciation of the US Dollar and the reduction in world demand on Hong Kong's export volume during the crisis and post-crisis periods.     

Port traffic risks – A study of accidents in Hong Kong waters

This paper investigates port traffic risk issues by discussing historic accidents in Hong Kong port. A total of 2012 marine accidents with 94 deaths were reported in Hong Kong waters in year 2001–2005, while 660,427 oceanic ships visited the port. A negative binomial regression model is used to analyze the record of dataset. It is found that port traffic risks are of certain pattern and collision accidents are the most popular incidents when port traffic is heavy. Passenger-type vessels have higher potential for injuries during accidents. The findings have identified statistically significant factors for improvements in managing port traffic risks.     

Exploiting globalization potential: U.S. and japanese strategies

This paper develops a model of global strategy that includes the constructs of industry globalization potential, the use of global strategy, the role of organization and management and the performance consequences of using global strategy. Propositions are developed as to why American and Japanese MNCs might differ in their perceptions of industry globalization potential, in their desired global strategy response, in their organizationally-derived ability to implement global strategy and in their resulting performance. The model and arguments are examined in extensive interviews with senior executives at 36 worldwide businesses belonging to some of the largest American and Japanese MNCs. Data are analyzed using a partial least squares causal model. The results show that the Japanese firms have more globalized stategies than do the Americans, and that this factor affects their performance favorably.     

Urban unemployment and optimal trade policy in a cash-in-advance economy

This paper examines the welfare effects of commercial and tax/subsidy policies on a developing economy with sectoral unemployment and differential cash-in-advance constraints. The optimal tariff can be negative when the cash-in-advance requirement for buying the importable good is larger than that for the exportable good. In addition, when capital is sectorally mobile, production taxes are superior to production subsidies to the importable sector. Nevertheless, to reach the first-best optimum, a uniform wage subsidy to both sectors is required.     

An examination of the differences in retail service evaluation between domestic and tourist shoppers in Hong Kong

In recent years, the concept of customer perceived value has attracted increasing attention among practitioners and academics. Despite a growing body of literature, calls remain for more sophisticated measures of the construct. This paper investigates an expanded scale of customer perceived value among two shopper groups and its resulting impact on retail performance. Findings reveal distinct differences in the drivers of customer perceived value between local and tourist shoppers in Hong Kong. Results offer significant implications for retailers and future research in this strategically important area.     

Effect of green innovation strategy on firm‐idiosyncratic risk: A competitive action perspective

Despite increasing concern for corporate environmental responsibility in numerous industries, the relationship between green innovation strategy (GIS) and idiosyncratic risk is a rarely scrutinised topic, particularly in the automotive domain. In this study, we empirically explore the association between GIS and idiosyncratic risk and analyse the moderating role played by the firm's competitive action. We rely on the secondary information sourced for 132 top automotive firms, in the period ranging from 2011 to 2017 by applying the system generalised methods of moments estimator to the dynamic panel data model. Our findings indicate that GIS significantly reduces the idiosyncratic risk of all firms, and this relationship strengthens with the increase in the competitive action of the firms. Our evidence supports “it pays to be green” firm heterogeneity argument. This study highlights the academic and managerial implications and focuses on the environmental issues published in environmental management literature.     

Factors determining the use of nutrition labels: The case of Malaysia

The rising prevalence of diet-related illnesses, the most visible of health problems, in both developed and developing countries has become a serious public health concern. Nutrition labeling plays an important role in promoting healthy diet and, thus, in improving population health. The objective of the present study is to investigate how socioeconomic factors—age, income, gender, education, marital status, house locality and employment status—affect the use of nutrition labels among Malaysian adults. The Third National Health and Morbidity Survey of Malaysia, which consisted of 34,539 respondents, is used for analysis. A logit model is developed to examine the probability of using nutrition labels. Evidence from the present study shows that age, income, gender, education, and marital status are significantly associated with the use of nutrition labels. In particular, age reduces the likelihood of using nutrition labels, while high income earners, females, the well-educated, and married individuals are more likely to use nutrition labels. The findings of the present study suggest that differentiated targeted efforts should be used on the various population groups identified when implementing programs and activities promoting the use of nutrition labels.