我国A股综指与美国主要股指的联动性研究

随着我国股市不断融入世界证券市场,投资者愈来愈重视美国股市对我国股市的影响。本文采用协整检验和Granger因果检验方法,对上证综指和道琼斯工业指数2005年5月9日至2008年5月9日之间的日收盘数据进行了实证分析,结果表明:二者之间不存在协整关系,但美国股市波动是我国股市波动的Granger原因,反之则不成立;说明投资者可以利用具有非对称性的影响进行国际多样化投资组合来分散风险而获得收益。     

我国大陆股票市场与周边主要股票市场的联动分析

证券市场国际化是市场发展的必然趋势,《合格境外机构投资者境内证券投资管理暂行办法》(以下简称《办法》)的实施是中国证券市场国际化道路中的重要里程碑。本文利用协整分析和Granger因果检验的方法对2000年-2002年、2003年-2006年两个样本区间上海证券市场与周边主要证券市场的长期动态均衡关系进行了实证分析。统计结果发现,上海证券市场与台湾、日本证券市场均不存在协整关系,而与香港证券市场在第二阶段不仅有协整关系,而且存在单边性的香港证券市场对上海证券市场的Granger引导关系,并进而指出随着合格境外机构投资者(QFII)的进入,中国大陆资本市场国际化程度虽有所改善,但速度不快,效果不很明显。     

中国内地、香港与美国股票市场的长期协整关系研究

随着中国经济不断地融入国际经济环境中,中国内地证券市场的国际化进程也逐渐加快,表现为与世界主要资本市场的联动效应明显增强。本文通过运用协整检验对中国内地、香港以及美国股票市场联动效应的研究发现,金融危机改变了三地股市间的长期均衡关系。     

流动性风险的特性

近年来,随着对流动性研究的深入,人们发现证券流动性之间存在协动现象(co-movement)。所谓流动性的协动是指单个证券与证券组合之间、证券组合与整个证券市场之间以及证券组合与行业之间的流动性变化存在趋同现象。证券市场中若存在流动性的协动现象,则在市场出现流动性危机时,投资者无法通过分散投资来完全化解该类风险,即市场上存在着系统的流动性风险。     

关于上证综指与深证综指协整关系的实证研究

深入了解中国资本市场之间的联动关系对于决策的制定具有重要的作用。本文运用单位根检验、协整检验和误差修正模型ECM对具有代表性的上证综指和深证综指的协整关系进行实证检验。结果表明,上证综指和深圳综指的联动性很强,存在协整关系。     

中国证券市场效率检验的模型设计

本文通过应用单位根检验、时间序列自相关检验、协整检验、因果检验等分析工具，提出中国证券市场效率检验模型的整体设计构想。     

深交所A、B股指波动的协整检验和因果分析

文章运用协整检验法和Granger因果检验分析法对深圳A、B股之间的长期均衡关系和短期引致关系进行检验。文章按时间顺序分为两个样本，结果表明随着我国证券市场的整合和开放，深圳股市的A、B股之间的协整关系存在。     

协整向量、调节参数同为非线性的阈值协整检验

针对经济变量的长期均衡和短期调节关系可能同时存在非线性的事实,本文扩展现有阈值协整模型,提出了协整向量、调节参数都为非线性的阈值协整模型,并着重探讨了该模型的检验方法。研究表明,在协整关系的检验中,Wald统计量有较好的有限样本性质。在协整关系的非线性检验中,LMW和LMG统计量的水平扭曲和检验势都较好。在调节参数的非线性检验中,当调节参数具有显著的非线性时,LMH统计量表现出较好的有限样本性质。     

基于结构突变和截面相关的面板协整检验

本文基于Westerlund和Edgerton（2008）,考虑了无时间趋势和有时间趋势的面板协整检验。在检验协整时,本文不仅允许误差项存在异方差、序列相关以及截面相关,而且还允许各截面在截距和协整斜率上存在未知时点的多个突变点。蒙特卡洛模拟结果表明,（1）该检验的具有较小的水平扭曲和较高的检验势,（2）将模型拓展到不含有趋势项的情形是必要的。在此基础上,使用基于动态最小二乘估计量的新统计量对国际CO2排放和经济增长关系进行检验,发现在考虑了突变和截面相关的情形下,两者间的长期均衡关系确实存在。     

人民币升值对地产行业影响的实证研究

基于证券市场数据,通过相关分析、协整检验、Granger因果检验等计量方法,研究了汇率制度改革后房地产指数与人民币汇率之间的关系。实证结果表明,人民币汇率与房地产指数存在着长期稳定的协整关系,汇率波动是房地产指数的长期以及短期Granger原因,人民币升值是房地产板块跑赢大盘的重要原因。     

Asymmetric dependence structures for regional stock markets: An unconditional quantile regression approach

Owing to the asymmetry of stock markets, this study investigates the dependence structures for six regional stock markets according to different market conditions by applying the unconditional quantile regression (UQR) approach. This approach can address the traditional conditional quantile regression (CQR) approach’s limitation that its distributions are defined conditional on specific covariates. Specifically, we not only examine the detailed linkages among these six regional stock markets, but also explore the effect of global economic factors on them, given the strengthening of both international investment and the globalization of financial markets. The results show these dependence structures are often an asymmetric U-shaped or inverted U-shaped structure, which indicates that the impacts of both other geographically and economically close stock markets and economic factors are more pronounced during bear and bull markets than during normal markets, especially so in bear markets. Moreover, the UQR approach provides stronger extreme-value relationships and more significant asymmetric effects than the traditional CQR approach.     

Risk spillover analysis across worldwide ESG stock markets: New evidence from the frequency-domain

With the increasing global awareness of green environmental protection, the international environmental, social, and governance (ESG) stock markets are developing rapidly together with rising risk linkages across worldwide markets. Therefore, this study explores the risk spillover characteristics of international ESG stock markets in the time and frequency domains and constructs a risk linkage network to further explore the risk contagion mechanism. The results show that in most cases, the developed North American market is the core of outward risk spillover in international ESG stock markets. The entire system presents a small-world structure, and the internal regions display different risk spillover characteristics. Moreover, international ESG markets generally have strong time–frequency spillover and medium-frequency (a month to a year) spillover. In contrast, the high- (a day to a month) and low-frequency (more than one year) spillovers are located at relatively low levels, but they will rise significantly under sudden financial events. The empirical results expand the ESG stock market's theoretical framework and provide a reference for investors and market regulators to reduce the investment risk of ESG.     

The behavior of MENA oil and non-oil producing countries in international portfolio optimization

It is well documented in developed economies that portfolio investment across national borders brings benefits of increasing returns and/or reducing risk. Dividing MENA stock markets into two main groups (oil producing and non-oil producing countries), this study examines the potential role of each group in providing diversification benefits for international investors. In addition, the behavior of the long and the short-run Efficient Frontiers (EFs) constructed by each of the sub-groups and the combined MENA markets is explored. Multi-objective international portfolio models are proposed under Mean-Variance and Mean-Lower Partial Moment frameworks, and the Multiple Fitness Function Genetic Algorithm (MFFGA) is used to find the EFs of optimal portfolios. The findings indicate that the stock markets of oil producing countries can be considered as a potential avenue for international portfolio diversification for investors not only from the same countries but also from the other MENA markets. It was also found that international portfolios constructed from the combination of MENA equity markets are more stable compared to the portfolios of sub-group markets. Further, the findings indicate that the behavior of short-term EFs in the MENA region cannot be predicted by the behavior of long-term EFs.     

Dependence structures between Chinese stock markets and the international financial market: Evidence from a wavelet-based quantile regression approach

In this study, we investigate the dependence structures between six Chinese stock markets and the international financial market including possible safe haven assets and global economic factors under different market conditions and investment horizons. The research is conducted by combining a quantile regression approach with a wavelet decomposition analysis. Although we find little or insignificant dependence under short investment horizons, we detect the strong asymmetric dependence of oil prices and the US dollar index on the six Chinese stock markets in the medium and long terms. Moreover, not only is crude oil not a safe haven, it may damage Chinese stock markets as it increases over the long term, even in bull markets. Meanwhile, appreciation of the US dollar (depreciation of RMB) damages (boosts) Chinese stock markets during bull (bear) market conditions under long investment horizons. Moreover, we find that VIX (volatility index)-related derivatives may serve as good risk management tools under any market condition, while gold is a safe haven asset only during crisis periods.     

NAFTA and North American stock market linkages: an empirical note

This paper provides tests of the co-movement of the North American stock markets. We find over the post-US stock market crash period, 1987:11 through 1997:03, there is no cointegration present in these markets even when the passage of NAFTA is taken into account. The absence of cointegration allows us to draw several conclusions. First, the stock markets of North America are segmented. Second, the passage of NAFTA has not resulted in a greater integration of these stock markets. Finally, the data do not support the notion of a contagion effect from the 1987 U.S. stock market crash. In conclusion, the potential for long-run international diversification across the markets of North America still exists.     

International stock market integration: Central and South Eastern Europe compared

We examine the international stock market comovements between Western Europe vis-à-vis Central (Czech Republic, Hungary and Poland) and South Eastern Europe (Croatia, Macedonia and Serbia) using multivariate GARCH models in the period 2006–2011. Comparing these two groups, we find that the degree of comovements is much higher for Central Europe. The correlation of South Eastern European stock markets with developed markets is essentially zero. An exemption to this regularity is Croatia, with its stock market displaying a greater degree of integration toward Western Europe recently, but still below the levels typical for Central Europe. All stock markets fall strongly at the beginning of the global financial crisis and we do not find that the crisis altered the degree of stock market integration between these groups of countries.     

Risk and return in the Tehran stock exchange

This paper analyzes market index returns in the Tehran stock exchange (TSE) within the context of three variants of the Capital Asset Pricing Model: the static international; the constant-parameter intertemporal; and a Markov-switching intertemporal CAPM, which allows for time-varying degree of integration with regional and international equity markets. We find that TSE returns are CAPM-efficient at monthly frequency with respect to several international market indices. Moreover, we find evidence in support of international integration of the TSE with respect to international markets. In addition, we conduct an extensive investigation for the direction of causality between TSE returns, international market index returns, and those in neighboring countries.     

The impact of COVID-19 on the G7 stock markets: A time-frequency analysis

We examine the co-movement of the G7 stock returns with the numbers of confirmed COVID-19 cases and causalities based on daily data from December 31, 2019 to November 13, 2020. We employ the wavelet coherence approach to measure the impact of the numbers of confirmed cases and deaths on the G7 stock markets. Our findings reveal that both the number of confirmed COVID-19 cases and the number of deaths exhibit strong coherence with the G7 equity markets, although we find heterogeneous results for the Canadian and Japanese equity markets, in which the numbers of COVID-19 cases and the deaths exhibit only a weak relationship. This evidence is more pronounced in the long-term horizon rather than the short-term horizon. Moreover, the lead-lag relationship entails a mix of lead-lag relations across different countries. We present the implications of these findings for both policymakers and the international investment community.     

President’s Tweets,US-China economic conflict and stock market Volatility: Evidence from China and G5 countries

This study provides empirical evidence that the tweets from US President Donald J. Trump influence the trading decisions of investors worldwide. We examine the effects of Trump’s tweets related to China on stock market volatility in China and the G5 countries. Our results show that Trump’s original tweets related to the US-China economic conflict expand volatility in stock markets worldwide, and the US-China trade friction intensifies this effect. Furthermore, Trump’s tweets with different sentiments have different impacts on the returns of global stock markets. Our findings confirm that international investors may make their investment decisions based on information conveyed in these tweets.     

Further evidence on causality and feedback across international stocks

This study extends the previous research on interdependence of international stock markets by using Geweke's (1982) causality test on seventeen stock market indices. The impact of the stock market crash of October 1987 on other national stock markets is investigated by disaggregating the data into pre- and post-crash periods. Direction of causality and feedback is studied using standard causality tests. The results indicate very few stock markets (namely, the U.K. and the U.S.A.) influence other markets significantly. Almost all markets react to other markets' past and present movements. Traditional major markets (Japan, France, and Canada) do not seem to be influential at all.