The effects of activity and geographic diversification on performance: Evidence from French financial institutions

Our paper studies the impact of activity and geographic diversification on financial institution's performance. These diversification strategies are complementary in generating performance and may provide important implications. Moreover, we investigate the interaction between these two strategies. Our dataset comprises 4532 years observations over the period of 2002 to 2012 and covers 412 French financial institutions. We find a negative relationship between diversification and performance. However, this relationship is significantly positive when institutions implement a dual diversification strategy. In this paper, we propose a classification of French financial institutions. For generalists’ banks and cooperative banks, we find similar results to those of the entire sample. Furthermore, for specialized financial institutions, the relationship is positive and significant. Our findings are robust to the potential endogeneity problem and to measures of diversification and performance.     

Wheat variety yield data: Do commercial and public performance tests provide the same information?

Wheat yields from reported performance test results are of economic importance to wheat producers, since their profits depend on selecting the optimal variety for their location. However, our data shows differences in absolute and relative wheat yields between commercial and public wheat breeding program's performance test data in Kansas. Newly available data are used to test if the difference in yields arose from potential selectivity bias, and to determine the contribution of private and public wheat breeding programs to varietal yield improvement during 2007–2012. Both Heckman selection models and multiple regression showed no statistical evidence of the potential presence of selectivity bias rather, managerial practices, agronomic conditions, field location, and inherent genetic traits of the seed variety were identify as the source of yield differences.     

Tales from tails: On the empirical distributions of forecasting errors and their implication to risk

When evaluating the performances of time series extrapolation methods, both researchers and practitioners typically focus on the average or median performance according to some specific error metric, such as the absolute error or the absolute percentage error. However, from a risk-assessment point of view, it is far more important to evaluate the distributions of such errors, and especially their tails. For instance, a lack of normality and symmetry in error distributions can have significant implications for decision making, such as in stock control. Moreover, frequently these distributions can only be constructed empirically, as they may be the result of a computationally-intensive non-parametric approach, such as an artificial neural network. This study proposes an approach for evaluating the empirical distributions of forecasting methods and uses it to assess eleven popular time series extrapolation approaches across two different datasets (M3 and ForeDeCk). The results highlight some very interesting tales from the tails.     

The sacrifice ratio and core inflation

The existing body of research that measures the sacrifice ratio and the determinants of the sacrifice ratio has crucially identified several disinflation episodes across many different countries, while also overwhelmingly finding evidence in favor of the “cold-turkey” approach to disinflation. However all previous studies in this topic are based exclusively on headline measures of inflation. In this paper we investigate what happens if we instead use core inflation to both identify disinflation episodes and measure the sacrifice ratio. Several important differences emerge: for example, headline inflation produces more disinflation episodes than core inflation does – something which is particularly conspicuous during the Great Recession – and episodes that are generally shorter in length. We also find that the argument in favor of the cold-turkey approach to reducing inflation disappears when combining the use of core inflation with sacrifice ratio measures that allow for varying persistent effects on output of disinflation.     

Assessing Financial Performance of Malaysian Islamic and Conventional Commercial Banks Using Financial Ratios

A rapid growth of Islamic banking has led the Malaysian economy to gaining greater prosperity than before. Presently, there are more than 20 Islamic banks operating in Malaysia. Financial ratios calculated from the categories of liquidity, profitability, risk and solvency, and efficiency of banks can be used to gauge the overall financial performance of the banking industry. The objective is to assess the overall performance of Islamic banks as well as conventional banks in Malaysia using financial ratios. The findings indicated that conventional commercial banks in Malaysia do have better quality assets, are more liquid, and are more profitable than Islamic banks. Total expenses in conventional banks are much higher, which may affect profitability and the significant amount of non-performing loans （NPLs）, thus increasing solvency risk. The findings show positive insights of Islamic banks, whose confidence and trust are rising, over a short period with strong improvements in asset utilization, effective management, and expenditure control. This comparative study clearly identified that conventional banks are better financial performers compared to Islamic banks in Malaysia during the period of 2006-2010.     

构建高校预算绩效评价机制的思考

高校预算绩效评价机制,是高校预算绩效管理的重要制度安排。本文探讨构建高校预算绩效评价机制的思路:采取定性指标与定量指标相结合的方法,设计一套基本支出和项目支出绩效评价指标体系,建立以效果为导向、责任与激励相结合的高校预算绩效管理责任制度。     

基于SCP范式的中国乳业市场绩效的实证分析

基于SCP范式的理论对我国乳业市场结构和市场行为的各项指标以及对市场绩效的影响进行实证分析,发现市场结构作用于市场行为并最终影响市场绩效,为企业在调整市场结构以提高市场绩效方面提供可借鉴的理论和政策建议。研究结果表明:①我国乳业行业规模经济效益越来越显著,行业进入壁垒提高,市场结构逐渐向中高度寡占型转变;②我国乳业的市场绩效与市场集中度、行业规模之间的相关关系通过显著性检验;③乳制品行业内各乳企之间的产品差异化不明显,技术程度有待加强。     

Assessing self-selection and endogeneity issues in the relation between activity-based costing and performance

Studies investigating the relation between ABC adoption and performance are inconclusive and plagued with econometric problems. This study extends prior research to investigate the association between ABC adoption and four manufacturing plant performance measures (cycle-time improvement, quality improvement, cost improvement, and profitability) and to assess selection bias and the endogenous nature of their relationship. I use the Heckman (1979) model to assess sample selection bias and the Wooldridge (2002) 2SLS-IV approach, to investigate endogeneity. After controlling for sample selection bias and endogeneity, the coefficient of ABC under the Heckman method and ABC_fit under the 2SLS-IV method becomes significantly higher compared to the coefficient of ABC under the OLS method. In addition, both the inverse Mills ratio, under the Heckman model, and Hausman F-test, under the Wooldridge 2SLS approach, are positive and significant, confirming the presence of both sample selection bias and endogeneity. Overall, I find that controlling for sample selection bias and endogeneity is essential in properly assessing the significance of ABC-performance association.     

Effects of control on the performance of information systems projects: The moderating role of complexity risk

Control of projects is a core issue for organizations. Successful projects, such as information systems projects, enable organizations to develop a superior supply network and enhance the capability of operations management. A few studies have investigated the effects of control on project performance; however, complexity risk has not been integrated into the relationship between control and performance. Limited evidence has been provided concerning whether modes of control differ in their effectiveness in the presence of a single risk factor. Based on quantitative data obtained from 128 information systems projects, behavior, outcome, clan, and self-control are empirically determined to be positively associated with the system performance of projects. However, complexity risk generates a mixed moderating effect on the relationship between control and performance. In the presence of a high complexity risk, the effects of behavior and self-control on performance are low, whereas the effectiveness of outcome and clan control increases. This finding implies that complexity risk is a double-edged sword with regard to control. Each control mode exhibits different characteristics and effectiveness under high complexity risk. Therefore, appropriate control modes should be carefully selected, and highly effective control modes, such as outcome and clan control, should be prioritized in managing complex system projects.     

Assessing Variability of Complex Descriptive Statistics in Monte Carlo Studies Using Resampling Methods

Good statistical practice dictates that summaries in Monte Carlo studies should always be accompanied by standard errors. Those standard errors are easy to provide for summaries that are sample means over the replications of the Monte Carlo output: for example, bias estimates, power estimates for tests and mean squared error estimates. But often more complex summaries are of interest: medians (often displayed in boxplots), sample variances, ratios of sample variances and non‐normality measures such as skewness and kurtosis. In principle, standard errors for most of these latter summaries may be derived from the Delta Method, but that extra step is often a barrier for standard errors to be provided. Here, we highlight the simplicity of using the jackknife and bootstrap to compute these standard errors, even when the summaries are somewhat complicated. © 2014 The Authors. International Statistical Review © 2014 International Statistical Institute