金融危机后中国股市波动性结构变化测度及其原因分析

以2005年4月至2010年4月我国沪深300指数为研究对象,使用调整后的EGARCH模型,对金融危机前后中国股市的波动性进行研究。结果显示:金融危机发生后中国股市的波动性明显减弱———这与美国股市明显不同,且波动性结构发生了显著性变化,表现为美国股市对中国股市的影响减弱、中国股市波动的持久性增强等。最后,对产生这些变化的原因进行了理论分析,指出金融危机发生后贸易保护主义抬头、刺激性的宏观经济政策出台是中国股市波动性结构变化的可能原因。     

Which types of commodity price information are more useful for predicting US stock market volatility?

This study aims to investigate which types of commodity price information are more useful for predicting US stock market realized volatility (RV) in a data-rich word. The standard predictive regression framework and monthly RV data are used to explore the RV predictability of commodity futures for the next-month RV on S&P 500 spot index. We utilize principal component analysis (PCA) and factor analysis (FA) to extract the common factors for each type and all types of commodity futures. Our results indicate that the futures volatility information of grains and softs has a significant predictive ability in forecasting the RV of the S&P 500. In addition, the FA method can yield better forecasts than the PCA and average methods in most cases. Further analysis shows that the volatility information of grains and softs exhibits higher informativeness during recessions and pre-crises. Finally, the forecasts of the five combination methods and different out-of-sample periods confirm our results are robust.     

Does Increased International Influence Cause Higher Stock Market Volatility?

Increased international financial integration is likely to cause greater market interdependence. This may either reduce volatility or increase it, by adding a new source of noise. Based on Swedish data, the findings in this paper are that foreign influence on the stock market shows a clear, positive trend, while purely domestic factors have not become more volatile. The trendwise increase in volatility on the Swedish stock market can thus be attributed to increased foreign influence.
JEL Classification : E 44; F 3; G 1     

股市收益率与波动性长期记忆效应的实证研究

股票市场长期记忆效应问题是近来金融实证研究的一个热点.多数的研究集中在收益率长期相关性的考察上,较少有对波动率序列的研究.然而,波动率的长期记忆性不仅会导致金融市场上的波动持久性特征,而且将对波动率的预测与衍生证券定价产生重要的影响.基于此,本文通过修正的R/S分析与ARFIMA模型对我国股市收益率及其波动性的长期相关性进行了实证研究.结果表明:中国股市具有显著的非线性特征,虽然收益率序列的自相关性较弱,但波动性序列却表现出显著的长期记忆效应.这一结论将为研究股票价格行为特征与金融经济学理论提供新的方向.     

信息不对称与机构操纵——中国股市机构与散户的博弈分析

中国股市中 ,股票二级市场价格常常在短期内发生剧烈变化。这种现象产生的原因在于 ,在信息不对称情况下 ,机构通过操纵上市公司基本面信息来影响股票交易价格 ,以获得超额收益。鉴于机构之间信息不对称程度远远低于机构与散户之间信息不对称程度 ,发展机构投资者可以最终减少市场操纵行为 ,机构在投资者中所占比例与市场整体被操纵程度的关系可以用倒“U”形曲线表示。     

Models of trust-sharing in Chinese private enterprises

This paper presents two related models of development patterns of Chinese private enterprises. They illustrate incentive-based reasons for ownership arrangements of private enterprises, and highlight how institutional foundations of trust, particularly government and family-based cultural values, play an important role in influencing the development of private enterprises. These models attempt to explain why government and family-based culture are crucial for the ownership structure and management of private enterprises. The main argument in the models is that the structure of family businesses can be viewed, in essence, as a form of trust-sharing (Guanxi-sharing) arrangement within the firm. Furthermore, the increase in the prevalence of family businesses can be seen as a result of family trust replacing government trust in the firm's economic activities.     

Stock return autocorrelations and predictability in the Chinese stock market—Evidence from threshold quantile autoregressive models

This paper applies the threshold quantile autoregressive model to study stock return autocorrelations and predictability in the Chinese stock market from 2005 to 2014. The results show that the Shanghai A-share stock index has significant negative autocorrelations in the lower regime and has significant positive autocorrelations in the higher regime. It attributes that Chinese investors overreact and underreact in two different states. These results are similar when we employ individual stocks. Besides, we investigate stock return autocorrelations by different stock characteristics, including liquidity, volatility, market to book ratio and investor sentiment. The results show autocorrelations are significantly large in the middle and higher regimes of market to book ratio and volatility. Psychological biases can result into return autocorrelations by using investor sentiment proxy since autocorrelations are significantly larger in the middle and higher regime of investor sentiment. The empirical results show that predictability exists in the Chinese stock market.     

中国股市波动性聚类特征参数与非参数分析

从分析中国股市收益率序列的特征入手,寻找描述中国股市波动性特征的合适的统计模型。重点对中国股市收益率序列的波动性聚类现象进行研究。运用描述统计学方法,广义自回归条件异方差模型,以及非参数统计方法等多种方法进行广泛探讨。结合具体的数据分析,从多个角度刻画出中国股市收益率序列的波动性聚类现象的参数与随机性特征。     

我国证券市场正反馈交易的实证检验

正反馈交易是投资者依据证券t-1期收益高低决定其第t期买卖行为的一种交易策略,这种交易策略广泛存在于世界各国的证券市场中,使证券市场表现出超常的波动性。本文使用上证指数和深证指数对我国证券市场的正反馈交易进行了实证研究,结果显示我国证券市场同样存在显著的正反馈交易现象,这种现象降低了市场的稳定性。     

Limited investor attention and the mispricing of American Depositary Receipts

I test whether more investor attention leads to a better exploitation of arbitrage opportunities and, in turn, to less mispricing of American Depositary Receipts (ADRs). Using data on 536 stocks I find that more investor attention significantly reduces ADR mispricing.