人民币即期汇率市场与境外衍生市场之间的信息流动关系研究

本文基于格兰杰因果检验方法和MGARCH-BEKK模型,检验人民币即期外汇市场与境外期货市场、境外NDF市场之间的信息流动关系。结果表明:境外期货市场对即期市场不具有任何溢出效应,期货市场的建立并未对即期市场的稳定性产生影响;境外NDF市场对即期市场存在着显著的报酬溢出效应;即期市场对各境外衍生市场仅具有滞后的报酬溢出效应,在价格变动上被境外NDF市场所引导;但在波动溢出效应方面,市场信息则由即期市场向各境外衍生市场单向传递。在三个市场中,境外NDF市场的价格引导力量强于即期市场和期货市场,处于市场价格信息的中心地位。     

Information Flows Between the U.S. and China Commodity Futures Trading

Using a bivariate GARCH model, we examine patterns of information flows for three commodity futures traded in both the developed U.S. market and the emerging China market (copper, soybeans and wheat). For copper and soybeans, the two commodities that are subject to less government regulation and fewer import restrictions in China, we find that the U.S. futures market plays a dominant role in transmitting information to the Chinese market, a result that confirms the importance of the U.S. role as a leader in the global financial market. For the heavily regulated and subsidized wheat commodity, our empirical results indicate that the U.S.-China futures markets are highly segmented in pricing, although information transmission via volatility spillover across markets is present.     

Volatility Transmission in the Real Estate Spot and Forward Markets

How shocks in one market influence the returns and volatility of other markets has been an important question for portfolio managers. In the finance literature, many studies found evidence of volatility spillovers across international markets, as well as between spot and futures markets. Although real estate is often regarded as a good vehicle for diversification, the dynamics of its volatility transmission have been largely ignored. This paper provides the first study to examine volatility spillovers between the spot and forward (pre-sale) index returns of the Hong Kong real estate market through a bivariate GARCH model. Transaction-based indices were used so that our volatility modelling was free from any smoothing problem. Our results showed that real estate returns exhibited volatility clustering, and the volatility of the forward market was more sensitive to shocks than the spot market. Moreover, volatility was mainly transmitted from the forward market to the spot market, but not vice versa.

An Empirical Study of Volatility in Seven Southeast Asian Stock Markets Using ARV Models

This paper investigates the volatility persistence, volatility variability from day to day and transmission of volatility in seven Southeast Asian stock markets from 1980 to 1991 using the ARV approach. We found strong evidence that shocks to volatility are persistent in Taiwan. Moreover, the Stock Exchange of Thailand Daily Index has the strongest interday volatility fluctuation. Instantaneous causality of volatility among six of the seven markets (except Seoul) was discovered. Besides, there is significant volatility spillover effect from Hong Kong to Taiwan, Malaysia to Singapore and Singapore to Malaysia in the period 1980 to 1991.     

美联储前瞻性指引对新兴市场国家的溢出效应研究

基于前瞻性指引溢出效应的相关理论,选取17个代表性新兴市场国家为研究对象,运用面板向量自回归(PVAR)模型实证分析美联储前瞻性指引对新兴市场国家的溢出效应.结果表明:美联储前瞻性指引在短期内对新兴市场国家金融市场具有一定的冲击,在长期内对新兴市场国家经济增长存在滞后的正向作用.新兴市场国家应采取应对策略,做好风险识别和预警,加强预期管理,增强货币政策协调和合作,有效防范和化解外溢影响.     

国内外黄金市场价格间的联动关系稳定吗?——基于外部冲击视角的分析

在全球金融市场不断开放和融合的大背景下,黄金市场不但与外部市场频繁互动,其系统内部的联动关系也变得极为多元和复杂,黄金市场间的价格联动反映了信息和风险在不同市场间的传递过程。黄金价格通常会受到外部因素干扰而产生波动,但市场间的联动关系是否会因此而改变是值得重点关注的问题,黄金市场功能的有效性及稳固的市场关系是投资者利用全球黄金市场进行对冲和避险的先决条件,同时也关系到整个金融市场的稳定性。本文将研究重点聚焦于黄金市场内部,在研究中外各主要黄金市场间动态相关性和波动溢出效应的同时引入外部冲击以检验不同因素对黄金期货、现货市场间联动关系的影响从而探讨国内外黄金市场间价格联动的稳定性问题。结果表明:中国与全球主要黄金期货、现货市场间整体上保持了正相关关系,同时与各主要黄金市场间均存在显著的波动溢出效应。在一般市场条件下,外部冲击并没有显著改变中国与全球主要黄金期货、现货市场间的联动关系,表明黄金市场内部的价格联动具有较强的稳定性。     

恒生指数的GARCH效应分析

股票价格的波动是影响整个金融市场最重要、最直接的因素,对于以股票价格变化的研究来衡量风险价值具有很重要的现实意义。本文主要借助于恒生指数每日的收盘价进行GARCH效应分析并进行建模,通过设定残差分布的不同形式考察残差分布对建模的影响。最后,将GARCH模型拟合出来的方差的值带入风险价值量模型中,从而得到精确度更高的VAR值。     

Regulation Change and Volatility Spillovers: Evidence from China's Stock Markets

This paper investigates the structural changes of volatility spillovers between Chinese A-share and B-share markets induced by a regulation change on February 19, 2001, that allowed Chinese domestic investors to trade in the B-share market. The empirical results of the study, using high-frequency intraday data collected from a sample of seventy-eight firms issuing both A-shares and B-shares and employing a bivariate generalized autoregressive conditional heteroskedasticity (GARCH) model, show that after the regulation change, the volatility in A-shares increases the volatility in B-shares, thus increasing the risk of the whole market, whereas the latter reduces the former, thus reducing the risk of the whole market. A further investigation of the determinants influencing these structural changes shows that the following factors can encourage structural changes that reduce overall market risk: government ownership, institutional ownership, firm size, B-share proportion, and market-to-book ratio. Conversely, the following factors can encourage structural changes that increase overall market risk: dual roles of chief executive officer and chairman and the joint effect of firm size and B-share proportion.     

Onshore and offshore market for Indian rupee: recent evidence on volatility and shock spillover

The article empirically examines the onshor-offshore linkages of the Indian rupee using recently developed multivariate GARCH technique. The empirical results show that the offshore non-deliverable forward market does not have mean spillover impact on onshore spot, forward and futures markets while shocks and volatilities in the non-deliverable forward market influence the onshore markets. A key finding of the study is that the magnitude of volatility spillover from non-deliverable forward to spot market has accentuated after the introduction of currency futures in India. This development could be attributable to large arbitrage between futures and non-deliverable forward market in the more recent period. The finding has critical implications for exchange rate policy and management in the Indian context. There is need for close monitoring of both the onshore and offshore markets.     

保险业对经济增长贡献的理论模型与实证检验

本文依据金融发展与经济增长关系理论,运用两部门模型,揭示了保险业发展对经济增长贡献的传导机制,证明了保险业发展不仅对经济增长做出贡献,而且对非保险部门还存在溢出效应。结论表明,保险业增速每提高1%,将带动实际GDP增长率提高1.2154%;同时,模型回归结果也证实了保险业发展对经济其他部门存在溢出效应的假设:保险业每增长1%,非保险部门增长0.0472%;初级阶段的保险业边际生产力低于其它部门的边际生产力。随着保险业的发展,边际生产力的提高,其外溢效应将进一步显现,保险业必将成为经济增长的重要支柱。     

中国股市流动性溢价的存在性和稳定性检验

本文对中国股市流动性溢价的存在性和稳定性进行了实证检验。文章分四部分：第一部分关于流动性与流动性溢价的定义：第二部分利用因子分析构建一个综合性的流动性指标;第三部分从行业角度实证检验中国股市流动性溢价的存在性;第四部分从行业角度来实证检验中国股市流动性溢价的稳定性。     

欧洲央行流动性管理措施创新实践与效应

欧洲央行拥有较为完善的常规流动性供给机制,面对危机状态下市场融资功能的萎缩,欧央行通过创新和运用多种非常规流动性供给工具,为金融机构和市场提供必要的流动性支持。文章系统梳理了危机前后欧央行常规和非常规流动性管理工具的操作方式和功能,评估了非常规货币工具在市场流动性、利率和经济方面的实施效果,并探讨了其对于完善我国流动性管理的几点启示。