中国电子信息产业竞争力分析

2001年，在复杂多变，外困内紧的国际国内环境下，电子信息产业继续以较快的速度发展，本文综合论述了产业发展的基本特征，系统分析了电子信息产业整体竞争力的优势和劣势，分类评述了产业的技术水平和主要产品的竞争力。     

中国城市竞争力与基础设施关系的实证研究

城市竞争力是城市产业创造价值的综合能力，提高城市竞争力必须清楚影响城市竞争力的关键因素，本文提出城市竞争力与基础设施竞争力关系的假说后，选取中国部分城市的样本指标数据，利用主成份分析方法，构造城市竞争力和基础设施竞争力指数，运用模糊曲线分析方法，对理论假说进行了初步的检验分析，结果显示：基础设施是城市竞争力最重要的成或影响力量，技术性基础设计对城市竞争力越来越至关重要。     

Estimating daily volatility in financial markets utilizing intraday data

This study proposes a new approach to the estimation of daily realised volatility in financial markets from intraday data. Initially, an examination of intraday returns on S&P 500 Index Futures reveals that returns can be characterised by heteroscedasticity and time-varying autocorrelation. After reviewing a number of daily realised volatility estimators cited in the literature, it is concluded that these estimators are based upon a number of restrictive assumptions in regard to the data generating process for intraday returns. We use a weak set of assumptions about the data generating process for intraday returns, including transaction returns, given in den Haan and Levin [den Haan, W.J., Levin, A., 1996. Inferences from parametric and non-parametric covariance matrix estimation procedures, Working paper, NBER, 195.], which allows for heteroscedasticity and time-varying autocorrelation in intraday returns. These assumptions allow the VARHAC estimator to be employed in the estimation of daily realised volatility. An empirical analysis of the VARHAC daily volatility estimator employing intraday transaction returns concludes that this estimator performs well in comparison to other estimators cited in the literature.     

培育和发展金融资本促进我国金融业改革

作为世界贸易组织成员国，在经济全球化、全球金融市场一体化和金融自由化的大环境中培育和发展金融资本，是我国金融业的发展趋势，也是更为适合的改革途径。本文试图从金融资本理论出发，探讨这一改革途径的必要性、可能性和发展思路。     

完善我国社会保障财政制度的法律思考

财政作为社会保障的核心组织者和保障资金的重要提供者，在社会保障中起有着十分重要而独特的作用。本文分析了建立和完善我国社会保障财政制度的必要性，并从社会保障预算、社会保障税、社会保障财政转移支付三个方面对我国社会保障财政制度的法律完善进行了探讨。     

中国金融垄断的一个例证--实际利差扩大化

随着股份制商业银行的壮大和中小金融机构的兴起以及外资银行的进入，我国国有商业银行一统天下的局面有了很大改观，但是国有商业银行的垄断地位却没有发生根本性改变。国有商业银行依然凭借其垄断地位，直接或间接地获取垄断利润。本从国有商业银行存贷款利差分析入手，阐述了实际利差扩大化的产生机理，指出国有商业银行垄断地位是实际利差扩大化的制度基础，从而表明实际利差扩大化正是我国金融垄断的一个有力证据。     

中国城市竞争力聚类分析

研究城市竞争力要清楚各城市综合竞争能力的大小，更要通过对城市竞争力诸方面的分析，了解各城市竞争力方面的鲜明个性和共同特征，以便制定有针对性的竞争战略。本文运用以前研究的基本数据和相关成果，采用聚类分析的方法，对中国47个城市的竞争力进行聚类实证分析，并根据分析结果把城市分成五大阵营，同时总结出相应的基本特点。     

聚乙烯醇产品的市场研究

对聚乙烯醇树脂产品进行了产业背景、供求态势、市场细分与评估以及竞争力分析等全面研究，为聚乙烯醇项目建设、产品方案规划与市场营销提供决策参考。     

Earnings management and initial public offerings: Evidence from the Netherlands

This paper presents one of the first studies of earnings management by initial public offering (IPO) firms in a European country. Using a sample of 64 Dutch IPOs, we investigate the pattern of discretionary current accruals (DCA) over time. We find that managers manage their company's earnings in the first year as a public company but not in the years before the IPO. We also examine the impact of earnings management on the long-run stock price performance of IPOs. We find a negative relation between the size of the DCA in the first year as a public company and long-run stock price performance over the next 3 years. A number of additional tests support these findings.     

The macroeconomic determinants of technology stock price volatility

Stock prices reflect the value of anticipated future profits of companies. Since business cycle conditions impact the future profitability of firms, expectations about the business cycle will affect the current value of firms. This paper uses daily and monthly data from July 1986 to December 2000 to investigate the macroeconomic determinants of US technology stock price conditional volatility. Technology share prices are measured using the Pacific Stock Exchange Technology 100 Index. One of the novel features of this paper is to incorporate a link between technology stock price movements and oil price movements. The empirical results indicate that the conditional volatilities of oil prices, the term premium, and the consumer price index each have a significant impact on the conditional volatility of technology stock prices. Conditional volatilities calculated using daily stock return data display more persistence than conditional volatilities calculated using monthly data. These results further our understanding of the interaction between oil prices and technology share prices and should be of use to investors, hedgers, managers, and policymakers.