Islamic equity market integration and volatility spillover between emerging and US stock markets

The purpose of this paper is to study the conditional correlations across the US market and a sample of five Islamic emerging markets, namely Turkey, Indonesia, Pakistan, Qatar, and Malaysia. The empirical design uses MSCI (Morgan Stanley Capital International) Islamic equity index since it applies stringent restrictions to include companies. Indeed, two main restrictions must be met: (i) the business activity must be compliant with Shari’ah (i.e., Islamic law) guidelines and (ii) interest-bearing investments and leverage ratios should not exceed upper limits. Three models are used: multivariate GARCH BEKK, CCC, and DCC. The estimation results of the three models show that the US and Islamic emerging equity markets are weakly correlated over time. No sheer evidence supports that the US market spills over into the Islamic emerging equity markets. Besides interpreting the results in terms of weak market integration, the peculiar specificities of the Islamic finance industry and the admittance conditions to the MSCI Islamic equity index contribute to explaining them. Indeed, Islamic finance bans interest-bearing investments and imposes some rules, such as asset-backing, which has sizeable impacts on volatility spillover and shocks transmissions, alongside with the close linkage between real and financial sectors. These findings suggest that investors should take caution when investing in the Islamic emerging equity markets and diversifying their portfolios in order to minimize risk.     

“泛珠三角”少数民族聚居地区与发达地区的CPI波动性研究

本文中广西省和云南省被选取为"泛珠三角"少数民族聚居地的代表,广东省为"泛珠三角"发达地区的代表。利用3个省份的CPI数据,建立三元时变相关的广义自回归条件方差模型。通过分析3个省份CPI的波动性特征以及它们的时变相关系数,有助于研究"泛珠三角"经济带中的少数民族聚居地区与发达地区经济发展的波动性情况。     

上海原油期货与国际原油期货:联动机制和溢出效应

建立VECM—GARCH—BEKK—T模型,分析了上海原油期货价格与WTI、布伦特两大国际基准油价格之间的传导效应、均值溢出效应、波动溢出效应、BEKK交叉效应以及杠杆效应。研究发现,上海、WTI和布伦特原油期货三个市场存在显著的均值溢出和波动溢出效应。其中,上海原油期货上市重构了WTI和布伦特原油期货两个市场的均衡关系、主导影响因素、影响期限以及波动溢出效应;上海原油期货与国际油价有机联动,对WTI的正向影响要大于对布伦特的影响,但WTI、布伦特对上海的影响依然占主导地位。此外,短期内,当期上海原油期货价格与历史WTI和上海原油期货价格波动联系显著为正,而与历史布伦特原油期货价格则显著为负。因此,需要在持续提高上海原油期货参与者数量、提高国际参与度和认可度、完善原油期货区间波段管理机制、提升原油期货交易量、加快人民币国际化进程等方面努力。     

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。     

Risk spillovers between cryptocurrencies and traditional currencies and gold under different global economic conditions

This paper applies a Diagonal BEKK model to investigate the risk spillovers of three major cryptocurrencies to ten leading traditional currencies and two gold prices (Spot Gold and Gold Futures). The daily data used are from 7 August 2015 to 15 June 2020. The dataset is analyzed in its entirety and is also subdivided into four distinct subsets in order to study and compare the patterns of spillover effects during economic turmoil, such as the 2018 cryptocurrency crash and the COVID-19 pandemic. The results reveal significant co-volatility spillover effects between cryptocurrency and traditional currency or gold markets, especially during the whole sample period and amid the uncertainty raised by COVID-19. The capabilities of cryptocurrency are time-varying and related to economic uncertainty or shocks. There are significant differences between normal and extreme markets with regard to the capabilities of cryptocurrency as a diversifier, a hedge or a safe haven. We find the significant co-volatility spillover effects are asymmetric in most cases especially during the COVID-19 pandemic period, which means the negative return shocks have larger impacts on co-volatility than positive return shocks of the same magnitude. Evidently, cryptocurrencies and traditional currencies or gold can be incorporated into financial portfolios for financial market participants who seek effective risk management and also for optimal dynamic hedging purposes against economic turmoil and downward movements.     

MGARCH models: Trade-off between feasibility and flexibility

Multivariate GARCH (MGARCH) models need to be restricted so that their estimation is feasible in large systems and so that the covariance stationarity and positive definiteness of conditional covariance matrices are guaranteed. This paper analyzes the limitations of some of the popular restricted parametric MGARCH models that are often used to represent the dynamics observed in real systems of financial returns. These limitations are illustrated using simulated data generated by general VECH models of different dimensions in which volatilities and correlations are interrelated. We show that the restrictions imposed by the BEKK model are very unrealistic, generating potentially misleading forecasts of conditional correlations. On the other hand, models based on the DCC specification provide appropriate forecasts. Alternative estimators of the parameters are important in order to simplify the computations, and do not have implications for the estimates of conditional correlations. The implications of the restrictions imposed by the different specifications of MGARCH models considered are illustrated by forecasting the volatilities and correlations of a five-dimensional system of exchange rate returns.     

Impacts of China's crash on Asia-Pacific financial integration: Volatility interdependence,information transmission and market co-movement

This paper examines the price and volatility dynamics between China and major stock markets in the Asia-Pacific, investigating the effects of the Chinese stock market crash (2015–2016) for the first time. Employing the Bayesian VAR and BEKK GARCH, we observe that price and volatility spillover behaviours are different during the stable and stress periods. Particularly, price spillovers from China to other regional markets are more significant during a bullish period, showing that ‘good news’ emanating from China has strong impacts on its neighbours during better market condition. In the turbulent period, we observe strong shock spillover effects and enhanced volatility spillovers from China to most Asia-Pacific stock markets. This is because China, as an important trading partner and strategic financial centre shows to exert significant influence on the Asia-Pacific region through various economic channels. We also find that the Asia-Pacific stock markets spill over their shocks to China during the crisis, indicating that China is becoming more integrated with the regional financial markets.     

中国黄金市场与外汇市场间收益、波动溢出效应实证分析--基于VEC-DCC(BEKK)-BVEGARCH模型

用向量自回归动态二元EGARCH模型,对中国黄金市场与外汇市场间的收益与波动,在金融危机前后溢出效应进行分析。研究显示：美元兑人民币汇率和中国黄金不存在溢出效应,欧元兑人民币汇率对黄金存在负向溢出效应;较之金融危机以前,美元和欧元兑人民币汇率对黄金收益的波动溢出效应减弱,尤其是美元,危机前,黄金市场对来自美元和欧元外汇市场的信息冲击,存在显著＂杠杆效应＂;危机期间,市场间＂杠杆效应＂减弱。     

我国银行间债券市场属性研究

银行间债券市场是传导货币政策的重要环节,2009年成为应对国际金融危机的适度宽松货币政策的重要微调传导渠道。对其属性的正确判断,直接影响到货币当局选择政策工具的准确性和分析政策效果的可靠性。理论分析表明,银行间债券市场具有资本市场属性并且不断加强,是金融体系为适应经济发展要求而进行金融功能自我强化的必然结果;实证结果表明:我国银行间债券市场属性正处于一个在保持原有货币市场属性的基础上,资本市场属性不断加强的阶段。银行间债券市场资本市场属性的增强容易造成货币流通速度不稳定,可能会削弱原有货币政策工具作用效力,影响货币政策的有效性,这将为今后货币政策的制定和实施带来新的挑战。     

Return and volatility spillovers effects: Evaluating the impact of Shanghai-Hong Kong Stock Connect

This study investigates the impact of the recently introduced Shanghai-Hong Kong Stock Connect. Using high frequency data and dynamic forecasting techniques, we find that the new Stock Connect does contribute to the increasing importance of the Chinese mainland stock market and economic activity. A weak and unstable cointegration relationship is found after this event. Additionally, the Stock Connect has also increased the conditional variance of both stock markets. We observe a leading role of the Shanghai stock market to the Hong Kong stock market in terms of both mean and volatility spillover effects after the Stock Connect. Our study indicates that the opening up of stock markets in China could enhance the leading power, influence the risk level and improve the market efficiency of the Chinese mainland stock market, since the volatility spillover effect from Shanghai to Hong Kong is strengthened. Besides, our results have important policy implications, especially on how policy makers should deal with the increased market interconnectedness and for portfolio managers in choosing potential hedging instruments. The success of Shanghai-Hong Kong Stock Connect provides valuable operational experience for the forthcoming Shenzhen-Hong Kong Stock Connect which could further improve the market efficiency in China.