Earnings management and abnormal returns: Evidence from the 1970–1972 Price Control Regulations

We examine the association between abnormal returns and earnings management in the context of price control regulations to test the construct validity of the earnings management model. Abnormal returns are used as a market–based measure, and discretionary accruals are employed to measure earnings management. Our results support the hypotheses that (1) price control regulations affect firms' security prices negatively, (2) firms make income–decreasing discretionary accruals to increase the likelihood of price increase approval, and (3) firms that are affected most negatively by the regulations manage earnings more aggressively. We conclude that the earnings management model we use in this study is capable of predicting opportunistic discretionary accruals.     

Improving an outpatient clinic utilization using decision analysis-based patient scheduling

This study presents a predictive model to be used in scheduling patients in an urban outpatient clinic. The model is based upon actual patient characteristics from a physical therapy clinic within an urban health and wellness center situated in a public university. A number of reported patients' characteristics such as age, education level, distance from the clinic, historical attendance records, etc. were examined to determine if they significantly impacted the patients' missing scheduled appointments (no-shows.) Decision tree analysis was used to develop a model that assessed the likelihood of a patient's no-show, using key patient characteristics and attendance records. Such a model can be used to assist with scheduling patients in an outpatient clinic, while attempting to increase the clinic's overall utilization. Four tree growing criteria were examined to develop the model with the strongest predictive power. Predictive power of each method was assessed by using the entire dataset as well as using split sampling. The results were then compared with those of a Bayesian networks model and a neural networks model. In addition, the trade-off between the selected decision tree model's predictive power versus simplicity of the associated classification rules was examined. We also assessed the impact of various levels of overbooking on the clinic's utilization when using patients' schedules based on the predictive model.     

The impact of foreign direct investment and trade on economic growth Taking China, Korea, Malaysia, Philippines ＆ Thailand for example

In this study the authors make efforts to survey the impact of foreign direct investment and trade on the economic growth of five East Asian countries, China, Korea, Malaysia, Philippines and Thailand. Using an augmented production function （APF） growth model, the authors apply panel data Method and data span is from1980 to 2006. The required data are extracted from World Development Indicator 2008. The result shows that a co-integration relationship between growth and its determinants in the APF model is supported. Firstly, the study shows that with the increasing the inflow of foreign direct investment, positive impact on growth in Thailand, Korea and China is proved. However, this impact is negative in Philippine and Malaysia. Also the impact of trade on economic growth has the same result with FDI impact in sign. Further, the impact of labor force on growth is not significant in these countries and the effect of gross fixed capital on growth is positive and has a very high impact on selected countries.     

Dynamic routing of time-sensitive air cargo using real-time information

The route planning of time-sensitive air-cargo is becoming more important with the growing air-network congestion and delays. We consider a freight forwarder’s routing of a time-sensitive air-cargo in the presence of real-time and historical information regarding flight availability, departure delays and travel times. A departure delay estimation model is developed to account for real-time information inaccuracy. A novel Markov decision model is formulated and solved with online backward induction. Through synthetic experiments and case studies, we demonstrate that dynamic routing with real-time information can improve delivery reliability and reduce expected cost.     

Corporate philanthropy: Insights from the 2008 Wenchuan Earthquake in China

We explore the equity market impact of board announcements of corporate donations made in response to the May 12th 2008 Wenchuan earthquake in China. Our event study uses a sample of board announcements of corporate donations from Chinese A-share listed companies. We find that donor companies providing products and/or services directly to end-consumers tend to enjoy higher abnormal stock returns, thereby documenting a link between corporate social responsibility and corporate financial performance at least for some corporate citizens. In light of the empirical results, the study suggests that corporate philanthropic involvement should be treated as a differentiated type of marketing tool to obtain social reputation and publicity, as well as a relationship cultivation mechanism with local government authorities.     

Payoff Assessments without Probabilities: A Simple Dynamic Model of Choice

We develop a model which reflects the tendency of people to simplify the decision problems they face. The decision maker chooses among alternate strategies only on the basis of the payoff she assesses she would obtain from them, and these assessments do not explicitly take into account her subjective judgements regarding the likelihood of alternate states of the world. At each stage, the decision maker chooses the strategy that she assesses to give the highest payoff. She updates her assessments adaptively. We show that such behavior leads to maxmin choices. We also consider the decision maker who experiences shocks. Journal of Economic Literature Classification Numbers: C7, D8.     

Inflation-inflation uncertainty nexus in Iran——Using TARCH model

This paper examines the relationship between inflation and inflation uncertainty in Iran economy using monthly data of Iran over the period 1990-2009. TARCH model is used to peruse the stochastic variation and asymmetries in the economic instruments. The result indicates that there is a positive relationship between inflation and inflation uncertainty. Also, the authors investigate from the Granger causality test that inflation is Granger causality of inflation uncertainty.     

Nonlinear Correlograms and Partial Autocorrelograms*

This paper proposes neural network‐based measures of predictability in conditional mean, and then uses them to construct nonlinear analogues to autocorrelograms and partial autocorrelograms. In contrast to other measures of nonlinear dependence that rely on nonparametric estimation of densities or multivariate integration, our autocorrelograms are simple to calculate and appear to work well in relatively small samples.     

The effect of household characteristics on living standards in South Africa 1993–1998: a quantile regression analysis with sample attrition

This paper examines whether the dismantling of apartheid has resulted in an improvement in the standard of living for the vast majority of South Africans. The study is based on a panel data set from the Kwazulu‐Natal province. We use weighted quantile regressions to examine the distribution of standards of living, which corrects for the potential bias arising from non‐random sample attrition. Our results show that there has been a significant increase in the spread of the distribution of household expenditure of the non‐white households residing in Kwazulu‐Natal province. Copyright © 2006 John Wiley & Sons, Ltd.     

The social media faces of major global financial service brands

With the advent of social media, brand management has become not only more difficult, but also increasingly critical to the credibility and reputation of firms. Moreover, consumer-generated content and its rapid diffusion takes control over advertising-intended messages away from brand managers. Financial services brand managers will not fully be able to control the destinies of their brands, but at the very least they need to be involved in the conversations that speak about their brand. This article suggests a powerful analytical tool Chernoff Faces, which can add to financial service brand managers’ arsenal.