Theoretical considerations for a meaningful code of professional ethics

The professions have focused considerable attention on developing codes of conduct. Despite their efforts there is considerable controversy regarding the propriety of professional codes of ethics. Many provisions of professional codes seem to exacerbate disputes between the profession and the public rather than providing a framework that satisfies the public's desire for moral behavior.After examining three professional codes, we divide the provisions of professional codes into those provisions which urge professionals to avoid moral hazard, maintain professional courtesy and serve the public interest. We note that whereas provisions urging the avoidance of moral hazard are uncontroversial, the public is suspicious of provisions protecting professional courtesy. Public interest provisions are controversial when the public and the profession disagree as to what is in the public interest. Based on these observations, we conclude with recommendations regarding the content of professional codes.Karim Jamal is an Associate Professor in the Department of Accounting at the University of Alberta. His research interests are in modelling judgment processes of individuals in professional firms and financial markets. He is currently involved in research on the auditor-client negotiation process, the role of framing effects in masking fraud as well as the means by which frauds are detected, and tensions in professional codes of conduct especially between confidentiality and public disclosure.Norman E. Bowie is the Elmer L. Andersen Chair in Corporate Responsibility at the University of Minnesota. He is the co-editor ofEthical Theory and Business and has published numerous books and articles in business ethics and political philosophy. His most recent book isUniversity Business Partnerships: An Assessment.     

在近岸采油装置上实施集成风险检查系统

介绍中东国家把集成风险检查和检查系统用于近岸油田装置。根据详细的风险检查分析和过去的检查记录,对所选择的设备采用无损检测技术实施检查。资产数据、检查记录和有关文件都集中保存在计算机系统中。这样有能力保管和查看不同种类的文件和图样。这个系统能生成和监管维修和检查工作单,并能与企业其他系统进行交流。有一个知识数据库用于资产整合活动,与MS Excel的输入/输出功能进行数据交换也更加方便。     

International Linkages among Stock Markets of Malaysia and Its Major Trading Partners

This study empirically examines the short- and long-run dynamic causal linkages between Malaysia and its major trading partners (the United States, Japan, Singapore, China, and Thailand) based on a two-step estimation, Autoregressive distributed lag (ARDL) and Generalized Method of Moments (GMM) during the period 1992–2008. The study documents that the stronger the trade ties among the countries, the higher the degree of comovements among their stock markets. The Japanese stock market, to some extent, is found to be more important than the United States over these markets. In designing stock market policies, each country should take into consideration of any shocks in its major trading partners.     

Social Interaction and Beer Consumption

The aim of this article is to describe young consumers’ attitudes and conduct regarding beer consumption, analyzing the consumer as an individual (addressing internal factors) and in a collective (external factors). The research was designed in Brazil involving 52 participants, divided into 16 focus groups, and the respective data was transcribed and analyzed. The findings show three distinct types of consumers were identified. The authors termed these the Inductor, the Induced, and the Sophisticated. The article details how each type of consumer can be distinguished through different attitudes and factors. The results suggest that, rather than thinking of beer consumption as an individual item, beer consumption should be thought of as different types, involving different behavior, attitudes, and social interaction. The article demonstrates originality and value to put forward the notion that beer consumption should not be defined as an individual item. The framework offered in this article will assist future researchers to consider consumption of different types and brands of beer, based on social interaction.     

Firm productivity and agglomeration economies: evidence from Egyptian data

This paper attempts to shed the light on the nexus between firms’ productivity and economies of agglomeration in Egypt. Using a large dataset of firms in 342 firms’ four-digit activities in 27 regions (62,108 firms), we introduce three measures of agglomeration which are urbanization or firm diversification measured by the number of firms by governorate, localization and specialization measured by the average productivity by governorate and sector (generating externalities and knowledge spillovers) and finally competition measured by the number of firm operating in the same governorate and the same sector. We find strong evidence for the existence of agglomeration in Egypt after controlling for firm age, location, economic activity and legal status. In the Egyptian context, productivity spillovers gained from agglomeration measures outweighed the negative effects of competition implied by congestion. The latter is chiefly due to the lack of good infrastructure. When regressions are run by firm size, location and activity, our main findings show first that micro and small firms are more likely to benefit from localization and diversification compared to medium and large firms. Service firms benefit more from high level of diversification while manufacturing firms gain more benefits from knowledge spillovers and specialization in Egypt.     

Pricing risky corporate bonds: An empirical study

This paper empirically studies a model for pricing risky corporate bonds proposed by Baaquie—based on the seminal Merton. The proposed model provides an exact solution for the price of a risky corporate bond with a finite maturity and explains the market price of corporate fixed coupon bonds as being the result of the market risk that is carried by the bond. Baaquie's model is empirically tested using 42 fixed coupon bonds issued by 23 US corporations, between 2011 and 2017. It is found that the proposed model estimates most bond prices quite accurately. Market time (similar to the concept of psychological time), which is distinct from calendar time, is quantified in the paper and is an exogenous behavioral parameter that plays a pivotal role in improving the accuracy of the pricing model for long-maturity risky bonds.     

A gossip based information fusion protocol for distributed frequent itemset mining

The computational complexity, huge memory space requirement, and time-consuming nature of frequent pattern mining process are the most important motivations for distribution and parallelization of this mining process. On the other hand, the emergence of distributed computational and operational environments, which causes the production and maintenance of data on different distributed data sources, makes the parallelization and distribution of the knowledge discovery process inevitable. In this paper, a gossip based distributed itemset mining (GDIM) algorithm is proposed to extract frequent itemsets, which are special types of frequent patterns, in a wireless sensor network environment. In this algorithm, local frequent itemsets of each sensor are extracted using a bit-wise horizontal approach (LHPM) from the nodes which are clustered using a leach-based protocol. Heads of clusters exploit a gossip based protocol in order to communicate each other to find the patterns which their global support is equal to or more than the specified support threshold. Experimental results show that the proposed algorithm outperforms the best existing gossip based algorithm in term of execution time.     

Should multivariate early warning systems for banking crises pool across regions?

Most extant work on prediction of banking crises has utilised global samples, which are in turn dominated by observations from middle-income countries, and rely on a single estimator. However, economic and financial structures as well as the pattern of shocks may differ substantially across regions, while a range of specifications is desirable to check robustness. Accordingly, in this paper we test the implicit pooling assumption in earlier multivariate work on Early Warning Systems using both logit and binary recursive tree specifications separately for crises in Asia and Latin America, as well as the pooled sample. Results suggest markedly different crisis determinants across regions, implying global samples are inappropriate.