金融资产收益动态相关性:基于DCC多元变量GARCH模型的实证研究

金融资产收益之间的相关性对于投资者的分散化投资与资产配置决策有着重要的影响。股票和债券是可供投资者选择的最主要的两种金融资产。基于DCC(Dynamic ConditionalCorrelation)多元变量GARCH模型(Multivariate GARCH Model)对我国股票市场和债券市场收益之间的相关性进行估计,结果表明我国股票和债券收益之间的相关性呈现出动态时变的特征,并且相关性的波动性很大。此外,通过对影响我国股票和债券收益之间相关性的主要因素进行的分析,发现通货膨胀率和股票市场风险会对我国股票和债券收益之间的相关性产生显著影响。     

CAPM在上海证券市场的实证研究

对上海股票市场的价格进行研究的目的是检验投资组合的平均收益和系统性风险β的关系是否符合传统的CAPM理论.横截面检验结论表明:上海股票市场股票的定价并不完全符合CAPM的预期,风险不是决定收益的惟一因素,而资产收益率和流通比例因素起着重要作用.     

流动性成本与股票定价--中国股票市场实证研究

股票市场流动性对股票定价(股票预期收益率)有着重要的影响。采用一种新的流动性指标(ILLIQ)和中国股票市场交易数据,来实证研究中国股票市场流动性成本与股票定价的关系后,发现流动性成本与股票定价(股票预期收益率)之间存在显著的正相关关系;而显示流动性成本,是投资者进行股票定价所考虑的重要因素之一。     

A股市场FF模型适用性的实证性研究

对三因素模型在我国证券市场的适用性问题,即股票期收益率与市场溢价因素、公司规模因素和账面市值比因素的关系问题进行了实证研究。根据我们分析的样本,得出以下结论：总体而言,三因素模型在我国股票市场是适用的,可以作为一个方便实用的工具来帮助投资者对中国股票市场进行分析和预测;中国股票市场具有规模效应和账面市场价值比效应,价值型股票的收益率高于成长型股票的收益率。     

中国A股市场个股收益影响因素的实证分析

选取公司市值、账面市值比、净营运资产、市净率和管理费用作为解释变量来构建面板数据模型,利用2007—2011年我国A股市场中573家上市公司的面板数据进行回归分析,探析这些财务指标对中国A股市场的股票月收益率的解释力度。研究结果显示:上述解释变量对股票月度收益率具有显著影响,说明这些财务指标对股票收益的解释力度较强;公司市值和账面市值比与股票收益率正相关,在研究期间存在明显的账面市值比效应;净营运资产、市净率和管理费用与股票收益率负相关;中国股票市场是一个弱式有效市场。     

公司债券和股票的收益率相关性实证研究

从上市公司微观角度,分析同一公司发行的公司债券和股票收益率之间的相关性。分析公司资产影响股票和债券价值的是其均值的变化,而非波动率;公司资产价值变化的信息并非同时传递给所有投资者,而是先融入股票,再传递给债券。结论显示,影响公司债券收益率变化的最重要因素是市场无风险收益率,而公司资产的价值变化的影响相对要小很多。     

我国A、B股新股发行初始收益率实证研究

本文借鉴欧美国家关于股票初始公开发行的研究方法 ,对我国股市A、B股新股发行首日初始收益率进行实证研究 ,以探讨我国股票市场是否存在发行价偏低现象 ,并分析了其可能的产生原因 ;构建经济计量模型揭示影响初始收益率主要因素。     

上海股市横截面收益特性的实证检验

本文运用西方比较成熟的横截面研究方法,对我国上海股票市场的横截面收益特性进行单因素检验。在使用Beta对收益率进行调整,以确定研究可能获得的收益率的差异不能被Beta这一单因素解释的基础上,利用单重与二重分组对市值size、账面市值比be/me、市盈率p/e这三个额外的风险因素与收益率的相关性进行分析检验,并对此作出解释。     

关于我国股票市场与债券市场收益率联动性的实证研究

股票和债券的资产组合在证券投资领域是一种传统而常见的投资组合方式.为了从组合中获取最大收益和最大限度地规避风险,研究这两种资产之间的联动性问题具有重要意义.基于对股票市场与债券市场收益率联动性进行的实证分析,我们发现股票市场与债券市场收益率之间存在长期影响;股票市场与债券市场收益率之间存在领先-滞后关系;股票市场与债券市场收益率之间的月度相关性是时序变化的,可以用模型进行描述与预测.     

高阶资本资产定价和中国股票市场的实证

股票的投资收益不仅仅受系统性风险的影响,其他因素的影响不容忽视。文章引入高阶资本资产定价模型,对传统的CAPM模型进行扩展,并用时间序列回归和横截面回归,参照BJS的实证检验方法,对中国股票市场进行实证分析。结果表明,加入偏度和峰度的高阶资本资产定价模型在中国股票市场具有更好的解释力。而且在这两个因素中,偏度与投资收益显著地负相关;峰度与投资收益正相关,但是相关性并不显著。     

Is gold a weak or strong hedge and safe haven against stocks? Robust evidences from three major gold-consuming countries

In this article, we test nexus between gold and stocks for the three major gold consumers by using the range of methodologies. First, we assess if there is any time-varying correlation between the two assets. We fail to find any significant time-varying correlation between gold and stock returns in India and the United States. Second, we attempted to investigate the safe-haven property of gold by analysing the decile-wise conditional correlation between stock returns and gold returns at different deciles of stock returns. Third, in order to test the robustness of the results drawn from the decile-wise correlation, we employ wavelet coherence in continuous wavelet framework to test the time and frequency varying nexus between the pair of assets. The range of methodologies employed seems to indicate the weak hedge and safe haven-property of gold for stocks.     

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.     

Virtual integration of financial markets: a dynamic correlation analysis of the creation of the Latin American Integrated Market

This article investigates the role of virtual integration of financial markets on stock market return co-movements. In May of 2011, the Chilean, Colombian and Peruvian stock markets virtually integrated their stock exchanges and central securities depositories to form the Latin American Integrated Market (MILA). We utilize the dynamic conditional correlation model proposed by Engle (2002) to identify a statistically significant positive correlation between these markets. Moreover, we find strong evidence that the creation of the MILA increased the levels of dynamic correlation between stock returns. A higher correlation was also found during the dot-com bubble and the 2007 financial crises. Our results imply a decline in gains from international diversification by holding portfolios consisting of diverse stocks of these countries.     

How are gold returns related to stock or bond returns in the U.S. market? Evidence from the past 10-year gold market

Although the gold market over the past decade has been soaring relative to its prior history, there have been few studies on the relationship between the gold market and other major financial markets based on the past decade of data. To re-investigate how the gold market interacts with the stock market and the bond market, we re-visit economic and financial characteristics of gold using the past 10-year data in terms of co-integration, causality, predictive power, and extreme returns. We find that while gold returns are not co-integrated with stock returns and bond returns, gold returns have a unidirectional causality with both of them. Also, we discover that gold returns have some predictive power on subsequent short-term stock returns. Under extreme market scenarios, it turns out that gold returns tend to deteriorate more simultaneously with bond returns than stock returns. This means that gold can better serve as a safe haven for stock in a relative sense during temporary market downturns.     

平均相关系数与系统性风险：来自中国市场的证据

本文研究了平均相关系数与系统性风险的关系,拓展了Pollet and Wilson(2010)的模型,找到了资产预期收益率与股票、债券平均相关系数的关系,更好地解决了系统性风险的度量问题。实证中,我们首先发现股票与债券市场的平均相关系数反映了系统性风险,而股票市场的波动并不能反映系统性风险;其次,股票投资者是风险偏好,但债券市场的投资者是风险厌恶的;最后,股票与债券的市场间相关系数未被定价,二者还具有较大的独立性。     

债券市场与经济发展的相关性分析——以我国银行间债券市场为例

债券市场是资本市场的重要组成部分，但目前我国资本市场发展阶段的特征表现为债券市场发展缓慢，为了扩大我国直接融资规模并完善多层次资本市场体系，需要大力发展债券市场。本文以我国债券市场的主体---银行间债券市场为例，分析了我国银行间债券市场的现状以及对国民经济发展的作用，并以1993-2012年我国国民生产总值、银行间债券市场债券发行额和股市筹资额共20年时间的时间序列数据为样本建立相关性模型，通过回归模型进一步实证研究了银行间债券市场与经济发展的相关性，发现银行间债券市场债券发行额与国民生产总值呈显著的正相关关系，表明银行间债券市场是经济发展的重要推动力，该市场规模的扩大有助于推动经济增长，从而说明了我国银行间债券市场创新的必要性。     

Trade uncertainties and the hedging abilities of Bitcoin

In this paper, we first estimate the monthly realised correlation, based on daily data, between stock returns of the United States (US) and Bitcoin returns. Then, we relate the realised correlation over the period October 2011 to May 2019 with a news-based measure of the growth of trade uncertainty of the US. Our results show that the realised correlation is negatively impacted by increases in trade uncertainty, which continues to hold under alternative robustness checks, suggesting that Bitcoin can act as a hedge relative to the conventional stock market in the wake of heightened trade policy-related uncertainties, and provide diversification benefits for investors.     

The Time Varying Relation Between Consumer Confidence and Equities

We examine the impact of changes in consumer confidence measures on future stock index returns. Our analysis is built on the growing understanding that investor sentiment is an important factor in the stock market. By using frequency dependent regression methods, we show that there is a time-varying relation between consumer confidence and stock returns. Higher levels of consumer confidence imply greater returns in the short term but negative returns in the medium term. However, this effect is only observed for the small firm index. Moreover, there is evidence to suggest that consumer confidence is significantly affected by stock returns in reverse causality.     

Bond market and stock market integration in Europe: a smooth transition approach

This article investigates whether there has been a structural increase in financial market integration in nine European countries and the US in the period 1980 to 2003. We employ a GARCH model with a smoothly time-varying correlation to estimate the date of change and the speed of the transition between the low and high correlation regimes. Our test produces strong evidence of greater comovement across the board for both stock markets and government bond markets. Dates of change and speeds of adjustment vary widely across country linkages. Stock market integration is a more gradual process than bond market integration. The impact of European monetary union (EMU) is rather limited, as it has mainly affected the timing of bond market correlation gains (but hardly their size) and has had little discernible effect on stock market integration.     

股市收益率与波动性长期记忆效应的实证研究

股票市场长期记忆效应问题是近来金融实证研究的一个热点.多数的研究集中在收益率长期相关性的考察上,较少有对波动率序列的研究.然而,波动率的长期记忆性不仅会导致金融市场上的波动持久性特征,而且将对波动率的预测与衍生证券定价产生重要的影响.基于此,本文通过修正的R/S分析与ARFIMA模型对我国股市收益率及其波动性的长期相关性进行了实证研究.结果表明:中国股市具有显著的非线性特征,虽然收益率序列的自相关性较弱,但波动性序列却表现出显著的长期记忆效应.这一结论将为研究股票价格行为特征与金融经济学理论提供新的方向.