Terrorism,country attributes,and the volatility of stock returns

This study investigates the interplay between terrorism and finance, focusing on the stock return volatility of American firms targeted by terrorist attacks. We find terrorism risk is an important factor in explaining the volatility of stock returns, which should be taken into account when modelling volatility. Using a volatility event-study approach and a new bootstrapping technique, we find volatility increases on the day of the attack and remain significant for at least fifteen days following the day of the attack. Cross-sectional analysis of the abnormal volatility indicates that the impact of terrorist attacks differs according to the country characteristics in which the incident occurred. We find that firms operating in wealthier, or more democratic countries, face greater volatility in stock returns relative to firms operating in developing countries. Firm exposure varies with the nature of country location, with country wealth and level of democracy playing an important role in explaining the likelihood of a terrorist attack. Our results show that despite significant terrorist events this past decade, stock markets in developed countries have not taken terrorist risk into sufficient consideration.     

Speculative dynamics and price behavior in the Shanghai Stock Exchange

This article examines the extent to which the trading behavior of heterogeneous investors manifests in stock price changes of asset portfolios which constitute the Shanghai Stock Exchange. There are three major findings that materialize. Firstly, reliable statistical evidence of a negative relation between the conditional first and second moments of the return distributions of stock prices lends support to the volatility feedback effect. Secondly, ‘feedback’, or momentum-type investors, are not present in this market as is often detected from the daily price changes of other industrialized markets. Finally, trade volume as a proxy for ‘information-driven’ trading suggests that such investors play a statistically significant role in stock price movements. Parameter estimates from this latter group of investors imply that a rise in stock prices from a high volume trading day is more likely than a rise resulting from a low volume trading day.     

亚洲地区股票指数收益率的波动性研究——基于GARCH族模型

为防范股票市场上的不确定性和风险,有效地度量股票指数收益率的波动性显得尤为重要。本文运用GARCH族模型,拟合了股票指数收益率的波动性方程,并实证研究了亚洲地区四个最具代表性国家:日本、中国、印度和韩国的股票指数收益率的波动性。结果表明:亚洲地区股票指数收益率的波动呈现出聚集性和持续性,股票市场存在着冲击的非对称性;中国和印度的股票市场抗风险能力比日本和韩国弱,股票指数收益率的波动性带来的负面影响更大。     

基于EGRACH模型的股指期货对股市非对称性波动影响的实证研究

本文基于EGRACH模型,利用高频数据,实证检验了沪深300股指期货对我国股市非对称波动的影响。实证研究表明,沪深300股指期货与现货市场之间存在互为格兰杰因果关系,在股指期货初期股指期货对股市的波动有放大作用,在远期降低了非对称性波动,具有稳定股市的功效。     

基于岭回归的中国开放式基金投资风格分析

基于收益率的基金投资风格分析面临的最大问题是基准指数之间可能存在严重共线性,从而导致结论的推断失真.本文引入岭回归估计方法,消除了解释变量间的共线性问题,考察了不同类型的开放式基金在2004年2月至2010年3月间的投资风格.结果显示:不同类型的基金的投资风格基本无差异,投资风格的转变更多地受经济波动的影响和短期利益的驱使.作者最后对改善基金投资行为提出了相关政策建议.     

股票市场发展对广东产业结构优化的实证分析

本文采取新的产业结构优化综合指标体系,运用格兰杰因果检验方法,实证分析股票市场发展对广东产业结构优化的影响,以此验证股票市场对产业结构优化是否存在积极的效应。研究结果表明:股票市场对广东省产业结构的优化存在积极影响,但效应并不强,对此本文提出了相应的对策建议。     

交易者关注行为对股票价格的影响机制

本文研究了交易者的关注行为对股票价格的影响机制。通过控制了公司基本面的因素基础上,分别从最终量（股票价格）和变化量（价格差）两个角度,建立了影响模型,实证发现,无论是最终量还是变化量,当期的关注度产生的正向响应都是强于滞后一期产生的反向影响;进一步用格兰杰因果分析了两者的关系,发现互为双向格兰杰原因;通过脉冲响应了解相互之间作用的模式,发现关注度对价格短期内是反向波动的影响,长期会有正向的响应。     

Are stock prices related to the political uncertainty index in OECD countries? Evidence from the bootstrap panel causality test

This study applies the bootstrap panel causality test proposed by Kónya (2006. Econ Modell 23, 978) to investigate the causal link between political uncertainty and stock prices for seven OECD countries over the monthly period of 2001.01 to 2013.04. This modeling approach allows us to examine both cross-sectional dependency and country-specific heterogeneity. Our empirical results indicate that not all the countries are alike and that the theoretical prediction that stock prices fall at the announcement of a policy change is not always supported. Specifically, we find evidence for the stock price leading hypothesis for Italy and Spain, while the political uncertainty leading hypothesis cannot be rejected for the United Kingdom and the United States. In addition, the neutrality hypothesis was supported in the remaining three countries (Canada, France and Germany), while no evidence for the feedback hypothesis was found.     

Position limit for the CSI 300 stock index futures market

The aim of this study was to find the optimal position limit for the Chinese stock index (CSI) 300 futures market. A low position limit helps to prevent price manipulations in the spot market, and thus keeps the magnitude of instantaneous price changes within the tolerance range of policymakers. However, setting a position limit that is too low may also have negative effects on market quality. We propose an artificial limit order market with heterogeneous interacting agents to examine the impact of different levels of position limits on market quality, measured as liquidity, return volatility, efficiency of information dissemination, and trading welfare. The simulation model is based on realistic trading mechanisms, investor structure, and order submission behavior observed in the CSI 300 futures market.Our results show that on the basis of the liquidity status in September 2010, raising the position limit from 100 to 300 could significantly improve market quality and at the same time keep the maximum absolute price change per 5 s below the 2% tolerance level. However, the improvement becomes only marginal if the position limit is further increased beyond 300. Therefore, we believe that raising the position limit to a moderate level can enhance the functionality of the CSI 300 futures market, which should benefit the development of the Chinese financial system.