浅谈集邮业务的个性化服务

文章回顾了我国集邮业务的历史演变和发展状况,分析了集邮业务的业务结构变化及其所带来的经营方式和经营策略的变化,提出个性化服务是集邮业务的发展方向,论述了个性化服务的社会需求、市场前景和发展空间,探讨了个性化服务的发展措施及经营思路。     

Improved estimation of portfolio value‐at‐risk under copula models with mixed marginals

Portfolio value‐at‐risk (PVAR) is widely used in practice, but recent criticisms have focused on risks arising from biased PVAR estimates due to model specification errors and other problems. The PVAR estimation method proposed in this article combines generalized Pareto distribution tails with the empirical density function to model the marginal distributions for each asset in the portfolio, and a copula model is used to form a joint distribution from the fitted marginals. The copula–mixed distribution (CMX) approach converges in probability to the true marginal return distribution but is based on weaker assumptions that may be appropriate for the returns data found in practice. CMX is used to estimate the joint distribution of log returns for the Taiwan Stock Exchange (TSE) index and the associated futures contracts on SGX and TAIFEX. The PVAR estimates for various hedge portfolios are computed from the fitted CMX model, and backtesting diagnostics indicate that CMX outperforms the alternative PVAR estimators. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:997–1018, 2006     

亚洲货币一体化的前景分析

从国际货币体系改革的大趋势——区域性货币一体化入手，分析亚洲货币一体化的现状，认为创造亚洲的共同货币——亚元是亚洲货币一体化的理想选择。并阐述亚洲货币一体化仍然要大致经历欧洲货币一体化所走过的几个阶段。分析中国在东亚货币一体化进程中的地位和作用。     

加入世贸组织新形势下加强银行业人力资源管理的思考

入世后银行业面临激烈挑战,现行人力资源管理状况难以适应竞争要求,本文以入世为契机,论述了深入推进人力资源管理的改革方法,加强银行业人力资源管理的思考.     

浅谈图书馆知识服务在培训教学的作用

知识服务作为新世纪图书馆的一种全新的服务模式，必须有一支高素质的专科馆员队伍，不仅有扎实的图书馆学、情报学、计算机等方面的基础知识和技能，还要具备能独立获取知识信息的能力，知识信息处理和语言文字表达能力，捕捉信息能力，合成信息能力及良好的职业道德和敬业精神．在提升的过程中不断地自我完善。拓宽专科馆员的思维模式，醒悟领会到学习连续性，重要性和前瞻性，提高自身修养。     

广东本地服装品牌的市场培育

本地原创品牌的发展塑造需要坚持,也需要本地市场的支持。品牌经营者必须充分了解市场需求,有针对性地进行市场培育,同时结合自身条件进行品牌营销,才能在市场上取胜。文章基于服装品牌消费者层次分析,提出以差异性的品牌推广方式来培育忠诚顾客的若干策略,从而提升原创品牌的市场竞争力。     

从经济角度看政府职能的转变

如何提高经济效率,在经济活动中,政府行为应怎样合理定位,综观世界各国政府行为在经济中的职能不外有三种即轻视政府在经济中的职能模式;重视政府在经济中的职能模式;既有政府干预的必要,又相信市场调节能力的职能模式.中国政府应根据自己的国情,切实做好政府职能转变.     

Tolerance for uncertainty and the growth of informationally opaque industries

Hofstede's [Hofstede, Geert H. 1980. Culture's consequences: international differences in work-related values. Thousand Oaks, CA: Sage.] cross-country psychological survey of IBM employees finds that some countries (societies) are systematically less tolerant of uncertainty, while uncertainty-tolerance is shown by some theoretic models to be essential to the growth of emerging sectors about which less is known. This paper first uses Durnev, Morck, and Yeung's [Durnev, Art, Morck, Randall, and Yeung, Bernard. 2004. Value-enhancing capital budgeting and firm-specific stock return variation. The Journal of Finance. 59(1): 65–105.] methodology to identify these informationally opaque industries. The hypothesis is then made that countries characterized by high uncertainty aversion (measured by Hofstede's indicator, and two other alternative indicators) will grow disproportionately slower in industrial sectors where information is less available. Using the Rajan and Zingales [Rajan, Raghuram G. and Zingales, Luigi. 1998. Financial Dependence and Growth. American Economic Review. Vol. 88(3): 559–586.] “difference-in-differences” methodology, which is relatively free from the endogeneity problem, the study provides robust evidence of such an industrial growth pattern in 34 countries and 36 manufacturing industries. It also shows that national uncertainty aversion is not driven by underdevelopment of financial sector, inadaptability of civil law systems, lower level of economic or human capital development, labor market inflexibility, or any of many other institutional factors. The results remain robust when religious (Catholic vs. Protestant) composition is used as an instrumental variable for national uncertainty aversion. The international evidence presented helps explain why some countries are slower in embracing “new” (vs. traditional) industries.     

Multiple generation product life cycle predictions using a novel two-stage fuzzy piecewise regression analysis method

Product life cycle (PLC) prediction plays a crucial role in strategic planning and policy definition for high-technology products. Forecast methodologies which can predict PLCs accurately can help to achieve successful strategic decision-making, forecasting, and foresight activities in high-technology firms, research institutes, governments, and universities. Over the past few decades, even though analytic framework strategies have been proposed for production, marketing, R&D (research and development), and finance, aiming at each stage of PLCs, forecast methodologies with which to predict PLCs are few. The purpose of this research is to develop a novel forecast methodology to allow for predictions of product life time (PLT) and the annual shipment of products during the entire PLC of multiple generation products. A novel two-stage fuzzy piecewise regression analysis method is proposed in this paper. In the first stage, the product life-time of the specific generation to be analyzed will be predicted by the fuzzy piecewise regression line that is derived based upon the product life-time of earlier generations. In the second stage of the forecast methodology, the annual shipment of products of the specified generation will be predicted by deriving annual fuzzy regression lines for each generation, based upon the historical data on the earlier generations' products. An empirical study predicting the life-time and the annual shipment of the 16 Mb (Mega bit) DRAM (Dynamic Random Access Memory) PLC is illustrated to validate the analytical process. The results demonstrate that two-stage fuzzy piecewise regression analysis can predict multiple generation PLT and PLC precisely, thereby serving as a foundation for future strategic planning, policy definitions and foresights.     

Financial Development and Economic Growth: Empirical Evidence from Six MENA Countries

This paper examines the causal relationship between financial development and economic growth for six Middle Eastern and North African countries (Algeria, Egypt, Israel, Morocco, Syria, and Tunisia), within a quadvariate vector autoregressive framework. We employ four different measures of financial development and apply the augmented vector autoregression vector (VAR) methodology of Toda and Yamamoto to test for Granger causality. Our empirical results strongly support the hypothesis that finance leads to growth in five out of the six countries. Only in Israel could weak support be found for causality running from economic growth to financial development but no causality in the other direction. These findings suggest the need to accelerate the financial reforms that have been launched since the mid 1980s and to improve the efficiency of these countries’ financial systems to stimulate saving/investment and, consequently, long‐term economic growth.