中国股票市场和商品市场共振效应研究

文章选取股票市场和商品市场为代表性金融市场,通过价格共振和波动共振两个维度对金融市场系统性风险进行研究.用2008-2020年万得全A和南华商品指数代表股票市场和商品市场价格构成研究样本,通过计算两指数的年度相关系数,对引发金融市场价格共振的因素进行剖析总结;使用DCC-GARCH模型计算两指数的波动相关系数,研判2008-2020年间以股票市场和商品市场为代表的金融市场风险变化情况;用实际数据研究了重大事件发生后金融市场间波动共振程度的变化情况.研究表明:2014-2017年,在强监管和构建成熟资本市场的不断推进下,两市场间波动共振关系弱化;2018年后,重大事件影响下系统性风险水平上升,相关系数重回高位,波动共振再次加强.并提出对化解金融市场系统性风险的相关建议.     

股指期货与现货市场溢出效应及动态关系研究——基于中、美、日、香港等市场的实证分析

本文运用BEKK-MGARCH-VAR和DCC-MGARCH模型分别实证分析了中国、美国、日本及香港等地股指期货与现货市场收益率均值和波动的溢出效应以及两市相关系数的动态(时变)特征,研究发现:四个国家(地区)股指期货与现货市场收益率间均存在双向均值溢出效应;四个国家(地区)股指期货与现货市场间均存在双向波动溢出效应;新兴经济体的指数期货与现货市场间的动态相关系数波动较小,而发达国家指数期货与现货市场间的动态相关系数波动较为明显。最后,对当前中国政策当局规范股指期货市场,警惕期现两市之间的波动传导效应,以确保股指期货和现货两市的稳定提出政策建议。     

原油期货价格对物流行业股价的溢出效应研究

改革开放以来,我国经济高速发展,在人们购物越来越便利的同时,也带动了以快递行业为代表的物流行业的兴起。因此,利用VAR模型和DCC-GARCH模型,以INE、WTI原油期货以及国证物流指数的每日收盘价为样本数据,对原油期货价格对物流行业股价的溢出效应展开实证研究。结果表明,INE与WTI原油期货价格波动对物流股票价格波动皆具有单向显著的影响;原油期货市场与物流股票市场受前期动态相关系数的影响较大,变动持续性也较强;INE与WTI原油期货市场与物流股票市场间动态相关系数都较低,新冠疫情爆发虽然提高了动态相关系数,但不久后又回落,只有INE与物流股票市场间动态相关系数较之前稍高,INE与物流股票市场间动态相关系数则回落至最初水平。     

中国股票市场风格投资差异性的实证研究

风格投资作为机头投资者最常用的投资组合和风险管理工具，受到广泛关注。本文利用DCC-MGARCH模型，通过对风格投资与市场之间的风险关系的实证研究，并得出中国股票市场风格投资指数风格差异不明显的结论。     

人民币即期汇率与境内外远期汇率动态关联——NDF监管政策出台之后

文章运用Granger因果检验方法和DCC-MGARCH模型,对外管局禁止境内机构从事NDF交易后人民币对美元即期汇率市场、境内远期汇率市场和境外NDF市场之间的动态关联关系进行了实证研究,研究发现:市场间常条件和动态条件相关系数随着合约期限的增长呈递减态势,即期市场与NDF市场之间的相关性最强,境内外远期市场之间的相关性最弱;虽然即期市场存在对NDF市场的信息波动溢出效应,但从总体上看,NDF市场的价格引导力量强于即期市场和境内远期市场,处于市场价格信息的中心地位。     

国际大宗商品市场与中国金融市场间风险的传染测度与来源追溯

在极端风险事件冲击下,国际大宗商品市场与中国金融市场间的风险传染效应愈发显著.文章运用DCC-GARCH模型,刻画国际大宗商品市场与中国金融市场间的联动效应,基于Granger-Geweke因果关系检验方法构建动态因果网络,在极端风险事件冲击下测度国际大宗商品市场与中国金融市场间的风险传染效应,并追溯中国金融市场的外部风险来源.结果表明:(1)在极端风险事件时期,国际大宗商品市场与中国金融市场间的联动效应显著提升.在新冠肺炎疫情时期,国际大宗商品市场与中国金融市场间动态条件相关系数的概率分布曲线,呈现分布区间扩张、分布中心右移以及峰度迅速下降的态势.(2)在极端风险事件的冲击下,国际大宗商品市场与中国金融市场间的风险传染效应增强,在新冠肺炎疫情时期,国际大宗商品市场与中国金融市场的交互冲击具有非对称性,中国金融市场对国际大宗商品市场的影响力十分有限.(3)追溯中国金融市场的外部风险来源可知,能源、贵金属以及工业金属对中国金融市场的冲击强度高于其他商品,中国股票市场与汇率市场承受的外部冲击较强.文章为中国防范国际金融风险传染提供了理论支持与政策参考.     

可转换债券与标的股票之间的价格联动研究

可转换债券是我国证券市场高度发展的产物,但在其快速发展的过程中还存在一些问题。文章运用协整检验和误差修正模型基于锡业转债对可转债和基础股票之间的价格动态传导关系进行了实证研究。研究结果表明可转债市场价格与其基础股票价格之间存在长期的均衡关系,并且股票价格领先于可转债价格,转股价值是产生这种联动效应的主要原因。     

我国股票市场与债券市场的溢出风险测度——来自上海证券市场的证据

笔者基于VAR-DCC-MGARCH模型研究了沪市股票指数与国债指数的波动相关性和溢出效应,估计了两个市场的VaR,并通过失败检验法进行了验证。结果表明,股票市场与国债市场的动态条件相关系数具有很强的时变特征,股票市场对国债市场存在显著的波动溢出效应。     

可转债价格与股票价格动态传导关系实证研究——基于多变量协整方法和非对称误差修正模型的检验分析

文章以我国发行的14只可转债自进入转股期至2006年年底的价格数据为样本,运用协整方法和非对称误差修正模型(ECM)对可转换债券价格与基础股票价格之间的动态传导关系进行实证研究。实证结果表明:部分可转债与基础股票价格之间存在长期均衡的协整关系,股票价格领先于可转债价格,其中有些可转债与股票价格之间存在非对称传导现象,而有的可转债与股票价格之间不存在协整关系。     

可转债市场与标的正股市场:溢出效应分析

文章选用中证可转换债券指数来反映可转债市场的变动,自编股票指数来反映标的正股市场的变化。通过构建向量自回归模型、二元VAR-DCC-GARCH模型和二元VAR-BEKK-GARCH模型来研究两市的溢出效应。结果发现,两市存在双向的收益率均值溢出效应,可转债市场的均值信息传递占主导地位,具有较强的价格发现功能;可转债市场和标的正股市场存在时变的动态相关系数,相关程度在2017年之后出现了明显的上升,且趋向稳定,说明两市分割程度减小;两市存在双向的收益率波动溢出效应,但是标的正股市场对可转债市场的波动溢出效应更强。     

Financial contagion and volatility spillover: An exploration into Indian commodity derivative market

This study measures the extent of financial contagion in the Indian asset markets. In specific it shows the contagion in Indian commodity derivative market vis-à-vis bond, foreign exchange, gold, and stock markets. Subsequently, directional volatility spillover among these asset markets, have been examined. Applying DCC-MGARCH method on daily return of commodity future price index and other asset markets for the period 2006–16, time varying correlation between commodity and other assets are estimated. The degree of financial contagion in commodity derivative market is found to be the largest with stock market and least with the gold market. A generalized VAR based volatility spillover estimation shows that commodity and stock markets are net transmitters of volatility while bond, foreign exchange and gold markets are the net receivers of volatility. Volatility is transmitted to commodity market only from the stock market. Such volatility spillover is found to have time varying nature, showing higher volatility spillover during the Global Financial Crisis and during the period of large rupee depreciation in 2013–14. These results have significant implication for optimal portfolio choice.     

The impact of Chinese monetary policy on co-movements between money and capital markets

From 2010 to 2017, with interest rate liberalization and capital market development in China, the impact of monetary policies on China’s financial markets underwent continuous evolution. Using the DCC-GARCH model, this study investigates the transmission process of monetary policies from the money market to capital markets (stock and bond markets). The results show that in the early stage the instability of the money and stock markets and the downturn in the bond market are primarily caused by the block of monetary policy transmission and the paucity of fund sources in the capital markets. Subsequently, the outbreak of the 2013 money shortage and the 2015 stock market crash are also closely related to monetary policies. In the later periods, the money and stock markets maintain a low degree of correlation for a long time, reducing the impact of destabilizing factors on the stock market. By contrast, with the advancement of interest rate reform and the optimization of bond market structure, the bond market is highly relevant to the money market. The central bank regulates the bond market more effectively using both traditional and innovative monetary policy tools.     

P2P网络借贷市场对资本市场的风险溢出效应

构建Copula-GARCH模型,并利用2013—2016年中国P2P网络借贷市场、股票市场和债券市场的日收益率数据,实证研究了P2P网络借贷市场对资本市场的风险溢出效应。结果显示:P2P网络借贷市场与股票市场之间存在"跷跷板"效应,与债券市场之间呈现出较弱的联动效应;P2P网络借贷市场与股票市场和债券市场的上、下尾部相关性均很弱,风险溢出效应不显著。结论表明:在确保金融系统稳定的同时,中国可以适度发展P2P网络借贷行业。     

Financial systems and economic growth in South Africa: a dynamic complementarity test

This study examines the relationship between banks, stock markets and economic growth in South Africa. The study attempts to answer one critical question: are stock markets and banks complementary to one another in the process of enhancing economic growth? The complementarity between the stock markets and banks is examined by including a set of interactive terms in a standard growth model, alongside bank development and stock market development proxies. In order to test the robustness of the results, three proxies of stock market development have been used, namely stock market capitalization, stock market traded value and stock market turnover – against the ratio of bank credit to the private sector, a proxy for bank-based financial development. The economic growth is, however, proxied by real GDP per capita. Using the ARDL-Bounds testing procedure, the study finds that the complementarity between stock market development and bank-based financial development is weak and sensitive to the proxy used to measure stock market development.     

我国银行间债券市场产品创新分析

文章通过对中国和美国债券品种的对比,认为美国债券市场的产品创新主要有两类:一是在期限、利率、利息支付、面值及持有期等债券构成要素上直接创新的产品;二是利用金融工程技术设计出来的债权衍生产品。而我国债券市场由于基础产品不健全、体制不顺及市场分割等原因导致无法进一步进行债券类衍生产品的创新。多层次资本市场的建立需要债券市场更多金融创新支持,而债券市场产品创新演进的过程应该首先是满足市场不断加深的需求,其次是逐步使用现代金融工程技术。文章认为债券市场创新的根本途径有两条:一是大力发展公司债券市场,这是持续进行产品创新的基础;二是发展与股权挂钩的债券创新产品,包括可转化债券、附认股权证的可分离交易债券和可交换债券等。并进一步提出了我国银行间债券市场还应从债券品种、利率、期限等几个方面进行品种创新,进而提高市场交易效率和流动性。     

The impact of news,oil prices,and global market developments on Russian financial markets1

This paper analyses the impact of news, oil prices, and international financial market developments on daily returns on Russian bond and stock markets. First, regarding returns, energy news affects returns, while news from the war in Chechnya is not significant. Market volatility does not appear to be sensitive to either type of news. Second, a significant effect of the growth in oil prices on Russian stock returns is detected. Third, the international influence on Russian financial markets depends upon the degree of financial liberalization. The higher the degree of financial liberalization, the stronger is the impact of US stock returns on Russian financial markets. In addition, banking reform and interest rate liberalization efforts seem to dictate the globalization of Russian stock markets, while it is the progress in liberalizing securities markets and non‐bank financial institutions that matters more for the globalization of Russian bond markets.     

我国证券市场流动性溢出效应的实证研究

2008年金融危机中的一个重要金融现象是流动性溢出效应.本文以我国沪深两市交易的国债和股票为样本,利用VAR技术分析了股票市场与债券市场之间的流动性溢出效应问题.由于我国股票市场的规模远大于交易所交易债券,我们发现存在显著的股市流向债市的流动性溢出效应,而债市流向股市的流动性溢出效应统计上却不显著.同时我们发现各个市场自身的收益率和波动率对其流动性也有着显著的影响.最后我们还发现两市自身的流动性存在着很强的自相关性.证据表明当我国资本市场出现流动性不足时,尤其要加强对股票市场流动性风险的防范和监管.同时也反映出我国要大力发展债券市场的必要,使股市和债市的流动性相互影响相得益彰.     

News and correlations of CEEC-3 financial markets

We employ DCC-MGARCH models to investigate conditional correlations between six CEEC-3 financial markets. In general, the highest correlations exist between Hungary and Poland in foreign exchange and stock markets. Short-term money markets are somewhat isolated from each other. We find that the associations of CEEC-3 exchange rates versus euro are weaker than those versus the US dollar. The persistence of the effect of shocks on the time-varying correlations is strongest for foreign exchange and stock markets, indicating a tendency toward contagion. In searching for the origins of financial market volatility in the CEEC-3, we uncover some evidence of Granger-causality on the foreign exchange markets. Finally, using a pool model, we investigate the impact of euro area, US, and CEEC-3 news on the correlations. Apart from ECB monetary policy news, we observe no broad effects of international news on correlations; instead, local news exerts an influence, which suggests a dominance of country- or market-specific circumstances.     

主权信用评级对证券市场的影响研究述评

国际证券市场的持续动荡,使得主权信用评级的影响作用越加突现。诸多研究指出,主权信用评级调整对股票市场和债券市场都存在影响,但由于市场对信息的敏感程度不同,股票市场比债券市场的反应剧烈,而且股票市场对主权信用评级调整能作出提前响应。由于市场预期和经济周期的合力作用,市场存在着对正负评级变化的不对称反应。因此,对现有文献进行梳理和评议,一方面增进了人们对这一问题的认识和理解,另一方面也为制定风险防范政策提供了一定的参考依据。     

Price connectedness between green bond and financial markets

We study price connectedness between the green bond and financial markets using a structural vector autoregressive (VAR) model that captures direct and indirect transmission of financial shocks across markets. Using heteroskedasticity to identify the structural VAR model parameters, our empirical findings reveal that the green bond market is closely linked to the fixed-income and currency markets, receiving sizeable price spillovers from those markets and transmitting negligible reverse effects. We also show that, in contrast, the green bond market is weakly tied to the stock, energy and high-yield corporate bond markets. These findings have implications in terms of portfolio and risk management decisions for environmentally aware investors holding positions in green bonds.