中国沪深300股指期货风险度量——基于流动性调整的收益率方法的研究

传统的VaR方法忽略了流动性风险,而现有的文献大都采用将流动性风险与传统的市场风险直接相加的方式来度量总的风险,忽略了市场风险与流动性风险带来的损失之间的相关性.本文采用经流动性风险调整过的收益率结合GARCH-VaR方法来度量包含了市场风险与流动性风险的总体风险,并运用沪深300股指期货市场的5分钟高频数据进行实证分析,结果表明,传统的VaR会明显低估风险,而将流动性风险与市场风险相加的方式计算的VaR会高估风险.     

空间效应与空间计量:理论述评及应用前景

空间计量经济学作为经济学科一个新的分支,近三十年来得到了快速发展,已经成为区域经济学研究的主流方法,特别是在对空间外部性、区域经济增长溢出及知识溢出与创新扩散等方面发挥着强有力的学科优势。在全球化视角下,将其应用于研究金融市场的相关性及波动溢出等问题将具有广泛的前景。     

中国期货市场单日基于连续时间序列的数据挖掘

介绍了棉花期货单日成交记录的数据挖掘以及多种商品期货在单日的交易记录中存在的问题，通过对中国期货市场的分析，更大限度地揭示了市场特征，为期货投资者提供更大的帮助。     

基于双边市场的传媒产业政府规制

在双边市场理论的框架下,建立了自由进入的电视媒介竞争模型.结果表明:在自由进入的媒体企业竞争市场中,自由市场竞争均衡的广告量小于社会福利最大化的广告量,且市场中存在太多的媒体企业数目;为了达到社会福利最大化,政府产业管制部门应该加强对市场进入的管制,征收一定的进入许可费,并且给予必要的补贴.     

属性识别方法及其在期货价格预测中的应用

在属性集,属性测度概念基础上,针对模式识别问题,提出了属性识别方法．该方法在期货价格趋势预测中获得了较为成功的应用.     

The Forecasting Efficacy of Risk‐Neutral Moments for Crude Oil Volatility

This paper examines the information content of implied volatility for crude oil options as it relates to future realized volatility. Using data for the period 1996 to 2011 we find that implied volatility is an effective predictor of the month‐ahead realized volatility. We show that implied volatility subsumes the information content of contemporaneous volatility, and it contains incremental information on future volatility after controlling for contemporaneous volatility. Furthermore, incorporating risk‐neutral skewness, and especially kurtosis, improves the forecasting of realized volatility. Overall, the association between implied volatility and month‐ahead realized volatility is consistent with evidence documented for other asset classes, leading us to conclude that implied volatility serves as a reasonable proxy for expected volatility. Copyright © 2015 John Wiley & Sons, Ltd.     

Forecasting volatility of emerging stock markets: linear versus non‐linear GARCH models

ARCH and GARCH models are substantially used for modelling volatility of time series data. It is proven by many studies that if variables are significantly skewed, linear versions of these models are not sufficient for both explaining the past volatility and forecasting the future volatility. In this paper, we compare the linear(GARCH(1,1)) and non‐linear(EGARCH) versions of GARCH model by using the monthly stock market returns of seven emerging countries from February 1988 to December 1996. We find that for emerging stock markets GARCH(1,1) model performs better than EGARCH model, even if stock market return series display skewed distributions. Copyright © 2000 John Wiley & Sons, Ltd.     

International transmission mechanism of stock market movements: evidence from emerging equity markets

This paper investigates the transmission patterns of stock market movements between developed and emerging market economies by estimating a four‐variable VAR model. The underlying economic fundamentals and trade links are considered as possible determinants of differences in transmission patterns. The results of the impulse response functions and variance decompositions indicate that significant links exist between the stock markets of the USA and Mexico and weaker links between the markets of the USA, Argentina, and Brazil. Differences in the patterns of stock market responses are consistent with differences in trade flows. The response of emerging markets to a shock to the US market lasts longer than that of a developed market such as the UK. While no single emerging market can affect the US stock market, the combined effect of emerging markets on the US stock market is found to be statistically significant. These findings can be linked to differences in the speed of information processing and to the institutional structure governing the market. Overall the findings suggest that the transmission of stock market movements is in accord with underlying economic fundamentals rather than irrational contagion effects. Copyright © 2000 John Wiley & Sons, Ltd.     

Forecasting realized volatility of oil futures market: A new insight

In this study we propose several new variables, such as continuous realized semi‐variance and signed jump variations including jump tests, and construct a new heterogeneous autoregressive model for realized volatility models to investigate the impacts that those new variables have on forecasting oil price volatility. In‐sample results indicate that past negative returns have greater effects on future volatility than that of positive returns, and our new signed jump variations have a significantly negative influence on the future volatility. Out‐of‐sample empirical results with several robust checks demonstrate that our proposed models can not only obtain better performance in forecasting volatility but also garner larger economic values than can the existing models discussed in this paper.     

我国国债市场存在的问题及对策研究

在社会主义市场经济条件下,国债的发行与投资具有重要意义。目前,我国国债市场存在着发行规模偏小,品种结构不合理,交易形式单一,管理体制不健全等问题。笔者认为改善国债投资环境,应着手调整国债一级市场的发行对象,调整国债的期限结构和利率结构,扩大国债交易市场,并加强国债市场的规范化建设。