基于EGARCH模型的我国股市信息对称性研究

利用过去17年我国上证综合指数的历史数据,根据股票市场大的波动周期分五阶段经过EGARCH(1,1)模型估计,以验证市场对信息冲出的反映情况.研究结果表明:中国股市存在很大的波动性,尚未达到弱有效性;存在正负杠杆效应交替出现的现象,表现出信息不对称性,但是这种不对称性在明显减小.     

资源型城市转型主导产业的选择与培育

资源型城市转型主导产业的选择是资源型城市转型成功的关键与核心问题。本文运用定性与定量相结合的方法,提出了资源型城市转型主导产业的选择指标体系,并就如何对主导产业进行选择的方法进行了探讨。同时对资源型城市转型主导产业的培育提出了相应建议与措施。     

构建科学的教坛新秀评选体系

青年教师是高校教学科研的主力军,培养和造就一批高素质的青年教师队伍是推进高校素质教育的一项重要的战略任务,但他们中有许多人存在人文精神缺失及修养不足的问题,对高校的改革与发展产生了消极影响。为切实加强青年教师队伍建设,高校在广大青年教师中开展“教坛新秀”评选活动,以此激励广大青年教师的荣誉感和责任感,促进师德水平和教育教学质量水平的提高,意义深远。从评选理念出发,对教坛新秀的评选指标、评选条件、评选方法做了微观定位,以期为构建科学的教坛新秀评选体系提供参考。     

Conditional Likelihood Estimators for Hidden Markov Models and Stochastic Volatility Models

ABSTRACT.  This paper develops a new contrast process for parametric inference of general hidden Markov models, when the hidden chain has a non-compact state space. This contrast is based on the conditional likelihood approach, often used for ARCH-type models. We prove the strong consistency of the conditional likelihood estimators under appropriate conditions. The method is applied to the Kalman filter (for which this contrast and the exact likelihood lead to asymptotically equivalent estimators) and to the discretely observed stochastic volatility models.     

中国股票市场价格波动特征分析

在股票市场中最令人捉摸不定,也最具有吸引力的是波动不已的股票价格。文章对中国股票市场价格波动的分析是从1997年9月展开至2002年10月,其间恰逢中国股市经历了一段从牛市的繁荣到熊市的萧条的过程,两种泾渭分明的市场氛围恰好提供了一个深入研究股票市场价格波动特征的有利契机。遵循经济控制论研究的思路,文章采用了理论分析、市场交易数据的实证研究等技术手段对中国股票市场价格波动进行了研究,通过运用经济控制论的方法建立理论模型,以上海股市和深圳股市的综合指数为样本,对中国股票市场系统本身的波动特征和稳定性进行了量化分析。     

论中国证券市场监管低效的制度性因素

分析了作为政府强制性的制度安排,中国证券市场在发展过程中产生的市场不规范问题,认为证券市场监管制度的低效运行是问题产生的主要原因。而监管困境的背后则是制度的缺陷,主要表现为两个方面:一是监管当局政策目标与监管目标的冲突;二是以个人和企业信用为核心的信用管理体系的缺失。     

India’s Social Development in a Decade of Reforms: 1990–91/1999–2000

The economic reforms initiated in India in 1991 have brought about visible upliftment of economic conditions of the country. This paper examines if the economic process is associated with an enhancement of India’s social development in equal measure in the reform decade of nineties. Ray (1989) considered thirteen social indicators of India and constructed the country’s social development index (SDI) as a certain weighted average of the selected indicators, for the years between 1950–51 and 1975–76. The present work broadly follows Ray (1989) in tracking the social development in the decade of economic reforms from 1990–91 to 1999–2000. The movement of SDI in nineties has been compared with the movements of India’s per capita income and plan expenditure on the social sector. The results show that though there has been growth in the social sector, it is not by far quite encouraging and perhaps more needs to be done in the social sector. The views expressed in the article are those of the author and not of the institution he serves.     

我国上市公司社会责任与企业价值关联性分析——以房地产开发与经营业为例

基于财务报告的指标体系、运用主成分分析的方法，对在我国深、沪上市的房地产开发与经营业公司企业价值（以托宾Q衡量）与所建指标体系之间的关系进行实证分析。分析结果表明：样本公司财务报告所反映的其社会责任履行情况与其企业价值相关关系显著，这一实证结果表明企业的社会责任履行对现代企业来说，已经不是一个可有可无的附属品，在企业生存和发展过程中发挥着越来越重要的作用。     

现代化的扩散与乡村政治文化的变迁——以改革开放以来安徽和县浏塘村为例

文章遵循从基本理论到实证调查再到一般性结论的研究路径,从实证的角度去描述安徽一个普通村庄因现代化的扩散而导致的乡村政治文化的变迁,从而试图说明现代化的扩散对乡村政治文化变迁的影响。     

Tree health mapping with multispectral remote sensing data at UC Davis, California

Tree health is a critical parameter for evaluating urban ecosystem health and sustainability. Traditionally, this parameter has been derived from field surveys. We used multispectral remote sensing data and GIS techniques to determine tree health at the University of California, Davis. The study area (363 ha) contained 8,962 trees of 215 species. Tree health conditions were mapped for each physiognomic type at two scales: pixel and whole tree. At the pixel scale, each tree pixel within the tree crown was classified as either healthy or unhealthy based on vegetation index values. At the whole tree scale, raster based statistical analysis was used to calculate tree health index which is the ratio of healthy pixels to entire tree pixels within the tree crown. The tree was classified as healthy if the index was greater than 70%. Accuracy was checked against a random sample of 1,186 trees. At the whole tree level, 86% of campus trees were classified as healthy with 88% mapping accuracy. At the pixel level, 86% of the campus tree cover was classified as healthy. This tree health evaluation approach allows managers to identify the location of unhealthy trees for further diagnosis and treatment. It can be used to track the spread of disease and monitor seasonal or annual changes in tree health. Also, it provides tree health information that is fundamental to modeling and analysis of the environmental, social, and economic services produced by urban forests.