Krazy Kimmy's: A Case in Fraud Examination

This two‐part case allows for maximum student engagement through preparation, in‐class discussion, and through a Part B case that is part of the Teaching Note. Through this case, students work to identify possible fraud schemes, plan an investigation, and perform horizontal analysis calculations. Students will learn about the concept of ethical hacking, red flag identification, internal control weaknesses, and investigation considerations for fraud schemes. Further, in‐class planning for next steps and investigation can occur, providing an opportunity for group work and in‐depth learning. This case offers flexibility for instructors in that it can be covered over one class or multiple classes, or can be assigned as an independent or group assignment. This teaching note provides an overview of the case along with guidance for teaching this case.     

Cross-border exchanges and volatility forecasting

We test for the performance of a series of volatility forecasting models (GARCH 1,1; EGARCH 1,1; CGARCH) in the context of several indices from the two oldest cross-border exchanges (Euronext; OMX). Our findings overall indicate that the EGARCH (1,1) model outperforms the other two, both before and after the outbreak of the global financial crisis. Controlling for the presence of feedback traders, the accuracy of the EGARCH (1,1) model is not affected, something further confirmed for both the pre and post crisis periods. Overall, ARCH effects can be found in the Euronext and OMX indices, with our results further indicating the presence of significant positive feedback trading in several of our tests.     

城市科学20年的发展历程--祝贺中国城市科学研究会成立20周年

回顾北京市城市科学研究会的发展历程,分为多学科协同研究城市问题阶段;城市发展多学科综合研究阶段;城市发展综合研究向重点领域开展阶段.概括了北京城科会的主要学术成果.     

上市公司非公允关联交易治理研究

非公允关联交易在我国上市公司中普遍存在,并对上市公司的业绩产生着重大影响。本文在分析上市公司非公允关联交易产生原因的基础上,从完善立法、首发审核、治理结构、信息披露、定价方法、独立审计等方面探讨了非公允关联交易的治理对策。     

战后日本经济发展中积极财政政策的研究

战后，在实现经济恢复和高速发展过程中，日本政府高度重视财政政策的宏观调控作用，在运用财政政策调节经济方面开辟了一条符合本国国情、突出本国特点的路子．对日本战后积极财政政策进行分析和评价，对我国经济发展具有重要的参考借鉴意义。     

农业院校促进乡镇经济发展的个案研究

在知识就是第一生产力的今天，乡镇经济的发展已不仅是地方政府、乡镇企业的责任，农业院校在履行其育人、科研功能的同时，更应该发挥其服务社会的功能，为乡镇、县域经济的发展起到巨大的带动、推进作用。文章以位于吉林市昌邑区左家镇的吉林农业科技学院为例，分析农业院校在自身发展壮大的同时对所在地方经济的促进作用，将有高等教育辐射的左家镇与没有高等教育辐射的土门岭镇在人均收入、农林牧渔各项产值等方面进行比较，用翔实、准确的数字表明：农业院校是促进乡镇经济快速发展的主力军。     

Bank Monitoring and Environmental Risk

Abstract:  Loan announcement effects for 152 Canadian companies are examined to investigate the efficiency of monitoring by banks facing lender environmental liability. Market reaction to the announcement of bank debt to 'environmental' firms is more positive and significant than for 'non-environmental' firms and, for firms in industries with a higher likelihood of experiencing spill events, is more positive and significant, reinforcing earlier results that establish a relationship between specific loan/borrower characteristics and announcement period excess returns and providing further evidence on the 'uniqueness' of bank loans by demonstrating the superior ability of banks to monitor corporate borrowers exposed to environmental liability.     

Foreign debt and economic growth

This paper empirically examines the relationship between government foreign debt and the growth rate of per capita GDP based on a total sample of 77 countries, as well as sub‐samples of various regions. Cross‐sectional estimates of the coefficient of foreign debt based on the total sample have a negative sign, but are not always statistically significant. Available data from African countries indicate that foreign debt and the growth rate of per capita GDP were negatively related at a high level of significance. For industrialized and Latin American sub‐samples, this relationship is negative but statistically insignificant. The sub‐sample Asian and other developing countries show a positive but insignificant relationship. JEL classification: F34, H6, O23.     

Predicting the geo-temporal variations of crime and disorder

Traditional police boundaries—precincts, patrol districts, etc.—often fail to reflect the true distribution of criminal activity and thus do little to assist in the optimal allocation of police resources. This paper introduces methods for crime incident forecasting by focusing upon geographical areas of concern that transcend traditional policing boundaries. The computerised procedure utilises a geographical crime incidence-scanning algorithm to identify clusters with relatively high levels of crime (hot spots). These clusters provide sufficient data for training artificial neural networks (ANNs) capable of modelling trends within them. The approach to ANN specification and estimation is enhanced by application of a novel and noteworthy approach, the Gamma test (GT).     

Testing for abnormal security-price performance under conditions of event-period uncertainty

This paper examines an event study test procedure based on cumulative average residuals (CARs) and a boundary-crossing probability for Brownian motion. The boundary-crossing test procedure is designed to detect abnormal security-price performance under conditions of event-period uncertainty. Simulations with daily security-return data show that the boundary-crossing test is well specified under the null hypothesis and has good power properties under the alternative hypothesis of abnormal security-price performance distributed over an event period of uncertain length.