工业劳动力流动、资本创造与经济地理空间均衡

资本创造模型（CC模型）忽视了要素流动对产业空间分布的影响。而发展的新的资本创造模型则认为资本集聚的过程必然伴随着工业劳动力的流动过程。另外，是资本的实际收益而不是名义收益决定资本是否创造。研究结果表明，随着贸易自由度、工业品支出份额及资本贴现率的变大，替代弹性及资本折旧率的变小，将降低对称结构的稳定性，而提高中心-外围结构的稳定性；经济地理空间的产业均衡是集聚力和分散力相互作用的结果。当企业生产工业品的规模报酬递增程度足够显著，或者工业品支出份额很高时，市场拥挤效应将彻底消失，并转化成为促进产业集聚的动力；突破点与持续点的大小比较可以形成不同的关系，这意味着随着贸易自由度的变化，本文发展的资本创造模型可以体现出多样化的产业空间动态演化行为。     

对完善股份合作制的认识

股份合作制是现代市场经济的必然产物 ,是历史的必然选择。但作为我国经济生活中不容忽视的一种企业组织形式 ,也存在着诸多问题。认清几个发展趋势 ,进一步规范和完善股份合作制在当前尤为重要     

风险投资与地方政府财政的作用定位

发展风险投资是推动高新技术产业加快发展、实现产业结构优化升级的重要途径。鉴于风险投资业在我国刚刚起步的现实 ,强调地方政府介入风险投资意义重大。近期地方政府介入风险投资应在资本配置中发挥重要作用 ;从长远来讲 ,地方政府应致力于相关制度环境建设 ,这方面的内容包括政策引导、制度环境支持以及法律保障等 ,以此创造有利于风险投资业大发展的社会环境     

LOG-PERIODOGRAM ESTIMATION OF LONG MEMORY VOLATILITY DEPENDENCIES WITH CONDITIONALLY HEAVY TAILED RETURNS

Many recent papers have used semiparametric methods, especially the log-periodogram regression, to detect and estimate long memory in the volatility of asset returns. In these papers, the volatility is proxied by measures such as squared, log-squared, and absolute returns. While the evidence for the existence of long memory is strong using any of these measures, the actual long memory parameter estimates can be sensitive to which measure is used. In Monte-Carlo simulations, I find that if the data is conditionally leptokurtic, the log-periodogram regression estimator using squared returns has a large downward bias, which is avoided by using other volatility measures. In United States stock return data, I find that squared returns give much lower estimates of the long memory parameter than the alternative volatility measures, which is consistent with the simulation results. I conclude that researchers should avoid using the squared returns in the semiparametric estimation of long memory volatility dependencies.     

股票价格波动与宏观经济波动

本文从理论和实证两方面分析股票价格波动与宏观经济波动的关系,得出股票价格波动与宏观经济波动存在相关性,股票价格作为宏观经济的先行指标,已成为影响货币政策的外部因素的结论。尽管目前中国的股票价格波动与宏观经济波动呈现异动性,但中央银行也应关注股票价格波动。     

深圳证券交易所不同指数收益率的波动比较

股票价格指数的波动的大小通常代表了它的风险程度,研究股指的波动对风险管理、投资组合以及价格预测有着十分重要的意义。文章采用时间序列分析方法,对深圳证券交易所的三种价格指数建立GARCH模型,并对这三种指数的波动率进行比较。     

人力资本股份化探讨

本文通过对人力资本及其确认、人力资本的价值与价值计量的研究,按“人力资本的价值取决于它所创造的超额利润（经济增加值）”的原则,设计人力资本价值计量模型,进而探索不同类型人力资本股份化的实现方式,并建议利用期权股份激励创新型人力资本所有者。     

西部地区投资软环境与体制创新

西部地区投资软环境建设中存在着商品市场观念淡薄、资本市场观念缺乏及“八重八轻”问题。要改善西部地区的投资软环境 ,就必须树立新观念 ,深化体制改革 ,加强体制创新 ,处理好“八重八轻”问题。     

A hybrid ARIMA and support vector machines model in stock price forecasting

Traditionally, the autoregressive integrated moving average (ARIMA) model has been one of the most widely used linear models in time series forecasting. However, the ARIMA model cannot easily capture the nonlinear patterns. Support vector machines (SVMs), a novel neural network technique, have been successfully applied in solving nonlinear regression estimation problems. Therefore, this investigation proposes a hybrid methodology that exploits the unique strength of the ARIMA model and the SVMs model in forecasting stock prices problems. Real data sets of stock prices were used to examine the forecasting accuracy of the proposed model. The results of computational tests are very promising.