Significant Factors of Aviation Insurance and Risk Management Strategy: An Empirical Study of Taiwanese Airline Carriers

Aviation insurance premiums have become a heavy burden for the airline industry since September 11, 2001. Although the industry must constantly balance its operations between profitability and safety, the reality is that airlines are in the business of making money. Therefore, their ability to reduce cost and manage risk is a key factor for success. Unlike past research, which used subjective judgment methods, this study applied quantitative historical data (1999–2000) and gray relation analysis to identify the primary factors influencing ratemaking for aviation insurance premiums. An empirical study of six airlines in Taiwan was conducted to determine these factors and to analyze the management strategies used to deal with them. Results showed that the loss experience and performance of individual airlines were the key elements associated with aviation insurance premiums paid by each airline. By identifying and understanding the primary factors influencing ratemaking for aviation insurance, airlines will better understand their relative operational strengths and weaknesses, and further help top management identify areas for further improvement. Knowledge of these factors combined with effective risk management strategies, may result in lower premiums and operating costs for airline companies.     

离子晶体外表面束缚极化子

本文计及表面光学声子的作用以及像电荷的作用,采用变分方法对一些材料外表面束缚极化子的基态能量和自陷能作了数值计算,并对结果进行了讨论,发现:对于Ⅰ—Ⅶ、Ⅱ—Ⅵ,Ⅲ—Ⅴ化合物的外表面,均可形成稳定的束缚极化子,且由于表面光学声子的作用,使这一杂质态更加稳定。     

论郭绍虞的《诗话丛话》

郭绍虞的<诗话丛话>是我国第一部以诗话形式论述诗话之体的著述.<诗话丛话>对数以千计的中国诗话进行了系统的总体研究,以宏观审视与微观分析相结合的方法,将零散杂芜的中国诗话之话予以梳理,使之体系化、类别化,不愧是诗话研究的拓荒之作,对诗话研究具有里程碑式的意义.     

A Class of Efficient Non-parametric K-sample Tests for Multivariate Counting Processes with Frailties

A K -sample testing problem is studied for multivariate counting processes with time-dependent frailty. Asymptotic distributions and efficiency of a class of non-parametric test statistics are established for certain local alternatives. The concept of efficiency is to show that for every non-parametric test in this class, there is a parametric submodel for which the optimal test has the same asymptotic power as the non-parametric one. The theory is applied to analyse a diabetic retinopathy study data set. A simulation study is also presented to illustrate the theory     

How well is debt managed by nonprofits?

Little is known about why nonprofits accrue debt, how much they owe, and whether the funds they borrow are used productively. This article distinguishes between productive, problematic, and deferred debt. Employing a data base representative of 114,726 tax-filing charitable nonprofits in the United States in 1986, it examines the pervasiveness of nonprofit debt and the relation between this debt and nonprofit financial health. The analysis finds that over 70 percent of the nonprofits hold debt, the distribution of this debt is highly concentrated, and the level of debt and leverage varies with asset size and type of activity. Nonprofits with higher leverage and absolute debt levels are financially healthier than those with lower levels. While the analysis does not determine whether financially stronger nonprofits are better able to borrow, the results support the view that borrowing in the nonprofit sector is economically efficient.     

分析师利益与投资建议的信息含量

 内容提要:本文分析了证券分析师的利益和我国证券分析师投资建议的信息含量。本文发现,证券分析师投资建议大多为“买入”或“中性”建议,而“卖出”建议却很少。通过对投资建议发布日附近股票超额回报率和超常交易量的研究,本文发现“买入”、“卖出”建议分别会引起股价的永久性上涨和下跌,而“中性”建议不会对股价产生显著影响。此外,被建议“买入”和“卖出”的股票的交易量也会明显地增加,特别是在建议发布的当日。这些现象说明,投资者认为分析师的建议包含了有价值的信息,因而相应地调整了对未来收益的预期以及当前最优的持股数量。股票交易的活跃给证券公司带来了佣金收入,作为对他们向市场传递有价值信息的回报。     

当代印度政坛中的雅利安人入侵理论争议初探

长期以来,由于受西方知识界对印欧文化百年研究积累的影响,＂雅利安人入侵理论＂始终位居学界主流,并进入印度与世界各国的教科书中,成为我们诠释印度古代历史的重要基础;时至今日,在后殖民学术批判风潮与印度教民族主义的推波助澜之下,此一理论却俨然成为具有高度政治争议性的论题。影响所及,不光是在印度国内的学界,更波及全世界的印度学研究社群。究竟对于＂雅利安人入侵理论＂的争论如何影响当代印度政治发展？此一理论为什么又能引起如此惊人的政治效应？各方对于此一理论的基本立场差异又是如何？透过本文的讨论,我们希望能针对这些问题提出回答。     

Frequency of Selecting Noise Variables in Subset Regression Analysis: A Simulation Study

This article presents the results of a simulation study of variable selection in a multiple regression context that evaluates the frequency of selecting noise variables and the bias of the adjusted R ² of the selected variables when some of the candidate variables are authentic. It is demonstrated that for most samples a large percentage of the selected variables is noise, particularly when the number of candidate variables is large relative to the number of observations. The adjusted R ² of the selected variables is highly inflated.     

A Likelihood-Based Approximation to the Cumulative Distribution Function of the Noncentral t Distribution

Optimal designs for estimating the parameters and also the optimum factor combinations in multiresponse experiments have been considered by various authors. However, till date, in mixture experiments optimum designs have been studied only in the single response case. In this article, attempt has been made to investigate optimum designs for estimating optimum mixing proportions in a multiresponse mixture experiment.