寿险公司的业务同质化与风险联动性

单家机构之间的业务趋同是否是金融业系统性风险的一个来源？近些年中国单家寿险公司的产品分布和地理分布均更加分散,但是公司之间的产品分布和地理分布均有“同质化”趋势,且公司之间在赔付风险、投资风险和破产风险上的联动性均提高。对此,本文分析了寿险公司业务同质化引起风险联动性的机理,探讨了几种可能的效应。基于公司配对样本,并从时间上和地理上引入工具变量处理业务同质度的内生性,发现:(1)当两家寿险公司的产品分布从完全差别到完全相同时,它们的投资风险联动性和破产风险联动性均将提高十几个百分点;(2)产品同质度对赔付风险联动性没有显著影响;(3)地理同质化对3种风险联动性均没有显著影响。     

QFII及QDII制度引入后的中美股市联动性研究

中国股市最近几年得到了迅速的发展,特别是2002年11月QFII制度及2006年4月QDII制度引入后,中国股市与国际主要股市的联动性也随之增强。美国股市作为全球最发达的股市,对中国股市与美国股市间的联动性研究具有重要的意义。通过采用相关分析和单位根、协整、格兰杰因果检验、误差修正模型等方法对中美股市在QFII及QDII制度实施后的联动性进行研究,研究结果表明,中国股市与美国股市之间的联动性正在逐步加强,投资者可以根据双方的股市的变化来预测股市的发展趋势。这一结论进一步表明,如何应对危机、保持中国股市的稳定已成为政策制定者迫切需要解决的课题。     

经济一体化与香港股市的国际联动实证研究

本文从汇率制度、利率水平、国际贸易、投资群体等方面,分析香港股票市场所处的宏观管理运行环境,考察香港和美国的密切经济关系,研究全球一体化不断加深的情形下香港、日本和美国股市的动态关系。研究结果表明,三大市场的动态关系依然存在;但恒指跟上证指并不存在协整关系。     

Oil price and automobile stock return co-movement: A wavelet coherence analysis

This paper explores possible co-movement between oil price and automobile stock return in a joint time-frequency domain. Daily price series from August 01, 1996 to June 20, 2017 is used in this analysis. The results indicate that the co-movement between oil price and automobile stock return is strong during November, 2000–December, 2002 and March, 2006–December, 2009. The co-movement is found to be more pronounced in the long-term and stock return is sensitive to the higher oil price emanating from the demand shock. This contravenes the conventional wisdom that crude oil is always counter-cyclical to the automobile stocks. For investor, this weakens the probable gain from including oil asset in a portfolio of automobile stocks as crude oil does not offer cushion against bearish automobile stock markets during the crisis period.     

Oil price and Gulf Corporation Council stock indices: New evidence from time-varying copula models

Using a time-varying GJR copula approach, we determine the conditional dependence of the GCC stock indices on oil price between 2007 and 2016. We show how to improve the forecasting accuracy of the co-movement of energy and stock prices in an equally weighted portfolio. Contrary to prior findings, we demonstrate that due to the different co-movements across the GCC stock indices, portfolios of oil assets and several GCC stocks are less likely to be affected by systemic risk. The different co-movements across several stock indices over time provide different entry and exit points for stock investors. This approach is in line with the ‘buy low/sell high’ adage.     

Diversifying equity with cryptocurrencies during COVID-19

Literature suggests assets become more correlated during economic downturns. The COVID-19 crisis provides an unprecedented opportunity to investigate this considerably further. Further, whether cryptocurrencies provide a diversification for equities is still an unsettled issue. We employ several econometric procedures, including wavelet coherence, and neural network analyses to rigorously examine the role of COVID-19 on the paired co-movements of four cryptocurrencies, with seven equity indices (matching countries particularly impacted by COVID-19). Our period of study includes one year prior to the onset of COVID-19, and one year during the pandemic, extending deeper into the pandemic period (February 2021) than most previous studies. We find co-movements between cryptocurrencies and equity indices gradually increased as COVID-19 progressed. However, most of these co-movements are either modestly positively correlated, or minimal, suggesting cryptocurrencies in general do not provide a diversification benefit during either normal times or downturns. An exception, however, is the co-movement of tether. Tether co-moves negatively with equities to an economically significant degree, both pre COVID-19, and considerably more during COVID-19. Co-movements between tether and equity indices spiked sharply during identified waves of the pandemic. Tether appears to be an important safe haven during times of market turmoil, consistent with investors seeking USD liquidity during periods of volatility.     

金融危机与经济波动特征事实:中美两国比较

本文对金融危机前后(2006~2009年)中美两国经济指标的波动性和协动性进行系统比较,发现两国的宏观经济波动特征有显著差异。这种差异有些属于金融危机期间的非常规现象,有些与中国特殊的调控措施、经济发展模式有关。就上述差异的理解对于分析宏观经济形势、制定宏观调控政策都是非常有帮助的。     

Macroeconomic shocks and the co-movement of stock returns in Latin America

This paper studies the economic sources underlying the co-movement of real stock returns in Latin America. Following the literature on structural vector autoregressive models (SVARs), I use long-run restrictions to identify three structural shocks: demand, supply, and portfolio shocks. For some countries, portfolio shocks are important factors behind real stock returns. Furthermore, these shocks seem to be important in explaining cross-country co-movement patterns. However, these findings are not statistically strong due to the degree of uncertainty about the estimates of the importance of each structural shock and the cross-correlation coefficients. Therefore, macroeconomic shocks (supply and demand) cannot be neglected in accounting for the dynamics of real stock returns.     

中国与世界经济波动的相关性研究

本文针对中国与世界经济波动的相互作用与影响这一日益重要的问题进行了一系列的计量检验。检验结果表明，自改革开放以来，中国经济的持续性比世界经济稍强。但中国经济的波动幅度较大；中国经济与世界经济的相关性经历了由强到弱，再逐步转强的过程，但总体上相关性程度较低；中圆经济波动滞后于世界经济波动，表明中国经济对世界经济存在较强的依赖性；在10％显著性水平下二者互为格兰杰因果关系，但世界经济对中国经济的影响更大；中国经济与世界经济、中国经济与中国对外贸易、中国经济与FDI流入之间有较强的相互冲击效应；中国对外贸易对世界经济波动的影响力较大，而世界经济对中国对外贸易的影响力却有限。     

产业内贸易对东亚经济周期协动性影响的实证研究

本文从理论上分析了产业内贸易对东亚经济周期协动性的影响,基于1990-2009年的数据,首先分析了中国与东亚各国产业内贸易指数的动态变化;其次,运用HP滤波方法提取周期因子ct,验证了东亚经济周期的协动性。在此基础上,构建了以贸易强度和产业内贸易为自变量,经济周期协动性为因变量的回归模型,运用分期数据对产业内贸易与经济周期协动性进行了面板数据的固定效应回归分析。研究结果揭示:相较于贸易强度,产业内贸易对中国与东亚经济周期协动性的影响更直接更显著,产业内贸易是中国与东亚经济周期协动性的主要传导渠道。随着产业内贸易比重的提高,中国与东亚贸易伙伴经济周期的协动性趋强。