国际原油价格对中国股市收益影响研究

国际原油价格的变动对中国经济有重要的影响,为了探究股票市场与国际原油价格之间的关联性,本文首先对原油和股市的基本面进行了分析,然后基于2005年1月到2019年5月的月度数据,进行了Johenson协整检验并建立向量自回归模型以及向量误差修正模型,其中脉冲响应函数、方差分解等方法也应用在联动效应的分析中。结果表明,国际原油价格与我国股票市场之间不仅存在长期均衡关系,而且国际原油价格长期对中国股票市场有负向影响。最后,提出可能造成此现象的原因和对股市管理者及投资者的建议。     

分位视角下地缘政治风险对国际股票市场的影响研究

本文针对地缘政治风险对17国股票市场的长期与短期影响问题,使用分位协整与非参数分位因果方法进行了检验.先运用分位协整模型较完整地刻画了两者间的长期协整关系,再应用非参数分位因果模型检验地缘政治风险对股票市场收益与波动的短期影响.研究结果表明,除以色列、韩国、乌克兰、泰国等4国外,地缘政治风险对其余国家的股票市场均存在长期影响;金砖五国与墨西哥的股票市场不会受地缘政治风险的短期影响,而地缘政治风险对其他11国股票市场的短期影响是异质的.     

石油价格与股票市场的溢出效应——基于中美数据的比较分析

本文以中美股票市场和国际原油市场的数据为样本,用VAR模型和二元GARCH模型研究了中美股市价格和国际石油价格的收益率及波动的溢出效应。研究结果表明,中国股市价格和国际石油价格之间,既不存在任何方向的收益率溢出效应,也不存在任何方向的波动溢出效应;而国际石油价格的变化率对于美国股市收益率确有负向先导作用,并且两者之间具有双向的波动溢出。     

中国股市收益率与流动性指标之间的关联分析

股票市场的流动性和收益之间的关系一直以来都受到了学术界的广泛关注.在本文当中,我们通过Spearman相关系数和VAR模型的方法对我国股票市场的收益率和主要流动性指标进行了相关性分析.结果发现,我们所选取的几种流动性指标和收益率之间都存在着一定的因果关系,也就是说我国股市存在流动性溢价.     

国际金融市场与国际原油期货市场溢出效应实证检验——基于VAR-BEKK模型的分析

文章通过构建VAR模型和BEKK模型对道琼斯股票市场、美元/欧元汇率市场与国际原油期货市场的动态关系进行了实证检验。结果表明：道琼斯股票市场与WTI原油期货市场存在双向的价格溢出效应,以及前者向后者的单向波动溢出效应;美元/欧元汇率市场存在向WTI原油期货市场单向的价格溢出效应和波动溢出效应。所以,国际原油期货市场与国际金融市场联系紧密,国际原油的金融属性日益体现,其价格变动更多受外部国际金融市场风险影响。     

外汇市场、股票市场、房地产市场动态关联性的实证检验

本文利用传统的VAR计量模型对外汇市场、股票市场、房地产市场之间的动态关联性做了实证检验。通过选取2010年6月至2016年1月的月度数据,利用脉冲响应函数以及方差分解以考察模型变量之间的联动性,研究表明:股票市场对房地产市场具有明显的正向作用,且随时间逐渐减弱,而房地产市场的上涨从长期看对股市有抑制作用。从总体上看,股票市场和外汇市场的相关性较弱,只有不到5%的股市价格波动能够被外汇市场所解释。房地产市场和外汇市场相关关系非常弱,房地产市场的价格波动几乎不被外汇市场所解释,而外汇市场的波动也只有3%左右被房地产市场所解释。     

比较“金砖五国”股票市场的系统重要性:基于危机传染的证据

本文提出并运用"SA-ΓCo Va R"分析,在全球经济环境处于危机期和稳定期两种情景下,从系统性危机传染强度的视角,比较了"金砖五国"股票市场的系统重要性。结果发现:(1)在危机期,金砖成员国市场的系统重要性无显著差异,但在稳定期,中国股市具有最高的系统重要性,即中国股市在稳定期对外围市场组合的风险影响最大;(2)上述结果不会因外围市场组合是金砖市场组合还是成熟市场组合而改变。因此,可以认为中国股市在稳定期具有最高的系统重要性。     

我国沪市周内效应实证探究——基于修正EGARCH模型

股票市场中的各种效应理论都在不断发展,引人注目。本文针对周内效应做了相关研究。结合实际,以往周内效应论文模型存在收益序列的自相关性,本文对EGARCH模型进行修正,消除了其自相关性,并利用修正的AR-EGARCH模型对上证综指1997-2010年数据进行实证检验。研究发现上海股市存在收益与波动的周内效应:收益存在负的周四效应,波动存在正的周一效应和负的周二效应,另外发现上海股市存在杠杆效应。     

对中国股票市场费雪效应及相关“波动性假说”的检验

本文利用我国1991年1月到2007年12月的月度数据对我国股票市场实际通货膨胀与股票收益的关系进行了实证分析,结果发现:与费雪效应相反,我国通货膨胀率与股票收益呈负相关关系,而且在对解释这种负相关关系的波动性假说(the Variability Hypothesis)的检验中,发现该假说能够解释我国股市股票收益与通货膨胀之间所呈现的这种负相关关系。     

中国股市量价尾部相关性研究——基于随机copula模型的实证

构建了随机copula模型来研究中国股市量价间的尾部相关性。采用上证综合指数和深证成分指数的价格和交易量数据进行了实证研究。结果表明:Survival Clayton copula函数相比其他copula函数能更好地刻画中国股市量价尾部(上尾)相关性;中国股市量价尾部相关性具有明显的非对称特征,股市高收益率(股市大涨)伴随着高交易量,但股市低收益率(股市大跌)与高、低交易量不存在相关关系;沪市量价尾部相关性略强于深市量价尾部相关性;中国股市量价尾部相关性展现明显的动态特征。     

去伪存真:油价趋势与股票市场——来自“一带一路”35国的经验证据

油价波动深刻影响全球经济,严重时会造成全球股市动荡,甚至引发系统性金融风险。然而油价中的信息噪音严重阻碍国际油价对股票市场的预测效果。本文提出的移动平均法可有效减弱信息噪音,研究表明,本文基于移动平均法构建的油价趋势因子对“一带一路”沿线国家股票市场具有良好的样本内和样本外可预测性。进一步研究发现,国际油价波动对产油国和非产油国股票市场的影响存在非对称性。本文为国际油价冲击股票市场提供了新的有力证据,同时本文研究成果提示了油价风险,对维持我国股票市场稳定,保持金融稳定具有一定意义。     

Regime-Dependent Effect of Crude Oil Price on BRICS Stock Markets

In this study, the dynamic relation between global crude oil prices and stock prices is investigated in terms of crude oil-exporting and -importing countries. The relationship between crude oil prices and stock prices is examined for BRICS countries (Brazil, Russia, India, China, and South Africa) for the periods of January 1995 to December 2016 by means of the Markov Switching Vector Autoregression (MS-VAR) model. The impulse-response analysis results suggest that the responses of the stock market to an oil price shock vary over the regimes for all countries. Specifically, we find that the responses of the stock market to an unexpected oil price shock are positive and statistically significant in the high-volatility regime in all countries except for China, and these results suggest that the increase in oil prices may be evaluated by demand-side shock in these countries.     

Time-varying impacts of demand and supply oil shocks on correlations between crude oil prices and stock markets indices

This paper investigates the time-varying impacts of demand and supply oil shocks on correlations between changes in crude oil prices and stock markets returns. The findings, obtained by means of a DCC-GARCH from June 2006 to June 2016, indicate that demand shocks positively affected the correlations between crude oil prices and stock market returns from late 2007 to mid-2008, during the apex of the financial markets volatility; from early 2009 to mid-2013, during global economy recovery from the financial crisis; and after 2015, when uncertainties about the Chinese growth and the US economy upturning arose. The dynamic conditional correlation, obtained after the removal of demand shocks effects, presented an average value of 0.13 when all economy sectors were considered and of 0.03 when the energy sector returns were excluded from the stock index. These correlations, still positive on average, suggest that exogenous supply oil shocks had little impact on US mainly enterprises cash flows over the last 10 years. Exceptions are the periods from 2006 to financial crisis and from 2014 until April 2016, when significant and unpredicted changes in oil market happened, considerably affecting the value of the main US companies.     

Oil Price and Stock Market Synchronization in Gulf Cooperation Council Countries

Knowing that the Gulf Cooperation Council (GCC) economies are dichotomous in nature, and growth in the non-oil sector is tributary to the oil sector, we document the extent of synchronization between crude oil prices and stock markets for each of the GCC markets and for the GCC as an economic bloc. We use both the bivariate and multivariate nonparametric synchronicity measures proposed by Mink et al. (2007) to assess that linkage. We find a low to mild (mild to strong) degree of synchronization between oil price and stock market returns (volatilities). In a very few instances, we find very strong (above 80 percent) associations between these variables. These results hold irrespective of whether we assume that stock market participants form adaptive or rational expectations about the price of oil. Dynamic factor results confirm that shocks to volatility are more important than shocks to oil price returns for the GCC stock markets.     

Does the connectedness among fossil energy returns matter for renewable energy stock returns? Fresh insights from the Cross-Quantilogram analysis

The response of renewable energy stock returns to the dynamics of fossil energy markets is a vital concern of low-carbon transitions. There is still sparse literature documenting the directional dependence of renewable energy stock returns on the connectedness among fossil energy returns, even though previous studies have examined the relationship among renewable energy stocks and fossil energy markets. Additionally, the conclusions of prior studies are quite far from reaching a consensus regarding the relationship between the renewable energy stock and the fossil energy markets. To this end, by using the TVP-VAR based connectedness approach and Cross-Quantilogram techniques, this study does the first attempt to unpack the complicated and controversial directional dependence of renewable energy stock returns on the returns and connectedness of fossil energy markets, considering various market conditions and time horizons. The empirical analysis demonstrates that, first, the directional dependence of renewable energy stock returns on fossil energy returns is pronounced during extreme market conditions, whereas they appear to be decoupled from fossil energy returns during normal market conditions. Second, the total connectedness between fossil energy returns transmits a substantial shock to renewable energy stock returns during most market conditions, which is in stark contrast to the information transmission directly originating from fossil energy markets. The performance of renewable energy stock markets improves with stronger fossil energy return connectedness, whereas weaker fossil energy return connectedness hinders it. Additionally, further study reveals that the directional dependence of renewable energy stock returns on the net connectedness of the crude oil market is dominated by negative dependence when the net connectedness of the crude oil market is low, whereas it displays positive dependence when the net connectedness of the crude oil market is high. This directional dependence pattern on the net connectedness of the crude oil market is opposite to that exhibited in the net connectedness of the coal and natural gas markets. Third, in general, the directional dependence of renewable energy stock returns on fossil energy returns is more pronounced in the short term but diminishes over the medium and long terms. Conversely, the directional dependence of renewable energy stock returns on fossil energy return connectedness persists over the medium and long terms. Final, with the outbreak of the Global Financial Crisis during 2007–2008, we notice an abrupt jump in the directional dependence of renewable energy stock returns on fossil energy returns and their connectedness, particularly during extreme market conditions. Our findings provide noteworthy implications for energy transformation, energy security, and climate mitigation.     

Conditional sovereign CDS in market basket risk scenario: A dynamic vine-copula analysis

This study examines the sensitivity of sovereign CDS markets in G7 and BRICS, which is conditional on a joint market basket risk scenario consisting of crude oil, gold, stock indices, exchange rates, freight indices, and copper prices. By compare the conditional and unconditional sovereign CDS returns using dynamic Vine-Copula model, we find that: 1) The conditional sovereign CDS returns will be less than (greater than) the unconditional ones, when scenario settings is at upper (lower) quantile level. Extreme scenario risk level settings (e.g., 1% or 99%) do not always make a significant difference between conditional and unconditional sovereign CDS. 2) Major black swan evens have significant impact on the difference between the conditional and unconditional sovereign CDS, but such an impact is short-lived especially in G7 countries. 3) Taking into account of the covariate effects, the conditional risk scenarios of sovereign CDS are heterogeneous across countries, down- and up-ward tail as well risk factors associated with the market basket.     

The dynamic moderating function of the exchange rate market on the oil-stock nexus

Oil price movements have an important impact on the stock market, and this impact could be dynamically moderated by the exchange rate, which could not be effectively depicted by VAR or GARCH methods widely used in previous studies. This paper adopts a more flexible nonlinear model to investigates this dynamic moderating effect of the exchange rate market on the oil-stock nexus for 45 major countries from November 30, 2005 to November 22, 2019. We also compare the differences in this moderating effect between oil-importing and oil-exporting countries and confirm the presence of a wealth transfer effect. Specifically, the empirical results show that (1) In the stage where domestic currency depreciation or appreciation degree is not serious (the growth rate is less than 0.1), an increase in crude oil prices has a positive impact on stock market returns, and this positive impact is weakened when the growth rate of the exchange rate return approaches zero. (2) As the local currency continues to appreciate (the growth rate is greater than about 0.22), the increase in crude oil prices may negatively influence stock market returns to an increasingly greater extent among crude oil importers. (3) The increase in crude oil prices may have a short-term positive impact on stock market returns in oil-exporting countries due to the wealth transfer effect when the domestic currency appreciates at a faster rate. Finally, we discuss the policy implications of our findings to help investors avoid risks due to fluctuations in international oil prices.     

Consumer confidence and stock returns over market fluctuations

This paper investigates the link between consumer confidence and stock returns over stock market fluctuations. In particular, I focus on whether the returns have asymmetric effects on confidence. The empirical results from both in-sample and out-of-sample tests provide strong evidence of the existence of an asymmetric linkage between stock returns and consumer confidence: the impacts of returns on confidence are larger in bear markets. Moreover, variables such as the term structure, changes in federal fund rates, changes in unemployment rates, and changes in world oil prices are found to be negatively associated with consumer confidence, as expected.     

Striking oil: Another puzzle?

Changes in oil prices predict stock market returns worldwide. We find significant predictability in both developed and emerging markets. These results cannot be explained by time-varying risk premia as oil price changes also significantly predict negative excess returns. Investors seem to underreact to information in the price of oil. A rise in oil prices drastically lowers future stock returns. Consistent with the hypothesis of a delayed reaction by investors, the relation between monthly stock returns and lagged monthly oil price changes strengthens once we introduce lags of several trading days between monthly stock returns and lagged monthly oil price changes.     

Oil and the Stock Markets

We test whether the reaction of international stock markets to oil shocks can be justified by current and future changes in real cash flows and/or changes in expected returns. We find that in the postwar period, the reaction of United States and Canadian stock prices to oil shocks can be completely accounted for by the impact of these shocks on real cash flows alone. In contrast, in both the United Kingdom and Japan, innovations in oil prices appear to cause larger changes in stock prices than can be justified by subsequent changes in real cash flows or by changing expected returns.