我国上市公司盈余管理的原因及对策

上市公司的盈余管理现象是困扰我国证券市场的一大难题。本文从应计制会计的特点、会计盈余信息的有用性与信息的不对称、市场环境和我国上市公司特有的治理结构剖析了我国上市公司盈余管理的原因,并据此提出了治理我国上市公司盈余管理的对策,包括完善我国上市公司的治理结构、完善具体会计准则和信息披露制度以及加大监督和处罚的力度。     

VARIANCE BOUND TESTS OF BOND MARKET EFFICIENCY

In this paper we examine variance bound tests of the joint hypothesis that (1) bond markets are efficient and (2) the term structure is determined by the expectations hypothesis. Both the Singleton and Shiller tests are shown to be seriously biased toward rejecting the joint hypothesis in finite samples. Flavin's test is unbiased but has a very high variance leading to many false rejections of the joint hypothesis. When corrected as suggested by Flavin, Shiller's test is unbiased and has a relatively low variance. Unfortunately, it is also sensitive to measurement error.     

激发学习兴趣建设和谐课堂--《财务会计》课堂教学方法探究

在《财务会计》的课堂教学中,根据教学内容在课堂上运用学生乐见的形式,如业务过程的情景模拟,图解法,使教学内容过程化,立体化;把学生没有感性认识的教学内容问题化,浅显化;把同类问题综合、概括,训练学生举一反三,触类旁通的能力.充分调动学生学习积极性,激发学习兴趣,建设有活力的师生互动的和谐课堂     

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。     

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。     

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.