我国银行间同业拆借市场的H指数研究

作为中央银行货币政策调控的一个重要指标,同业拆借市场利率基本代表了货币市场资金的价格,也是确定其他资金价格的基本参照利率。本文利用中国货币市场全国银行间同业拆借利率等数据,通过重标极差分析法研究我国货币市场的噪声程度。并引入国际上著名的伦敦银行间同业拆借利率和香港银行间同业拆借利率等进行对比分析以准确地描述该市场效率的基本情况。     

我国银行间同业拆借市场的H指数研究

作为中央银行货币政策调控的一个重要指标,同业拆借市场利率基本代表了货币市场资金的价格,也是确定其他资金价格的基本参照利率.本文利用中国货币市场全国银行间同业拆借利率等数据,通过重标极差分析法研究我国货币市场的噪声程度.并引入国际上著名的伦敦银行间同业拆借利率和香港银行间同业拆借利率等进行对比分析以准确地描述该市场效率的基本情况.     

我国市场利率功能的实证研究

利率市场化是我国利率管理体制改革的重要内容,我国银行间同业拆借市场已经于1996年开始实行市场利率。各项存款、货币供应量、股票成交金额与企业商品价格同比指数是我国金融体系中重要的金融变量。因而,选取并利用全国银行间同业拆借市场加权平均利率代表我国市场利率,借助格兰杰关系检验、向量自回归模型的脉冲响应函数等计量经济学方法,可以研究市场利率与重要金融变量间的相互关系,进一步分析市场利率对金融体系的微观调节功能。     

“钱荒”愈演愈烈剑指经济转型

6月20日,银行间同业拆借隔夜利率暴涨让众多业内人士始料不及.当日开盘,银行间债券市场隔夜回购利率报10％,7天利率报12％,盘中隔夜回购最高成交在令人瞠目结舌的30％,7天回购利率最高达到28％,均刷新银行间历史记录. 银行间同业拆借利率同样涨幅惊人,早盘开始各大商业银行的同业市场交易部门就以10％以上的利率吸纳存款,11点半公布的隔夜利率暴涨578个基点,升至13.444％的历史新高,7天利率涨292.9个基点至11％.     

作为范例的LIBOR

LIBOR,英文London InterBank Offered Rate的缩写,即伦敦银行同业拆放利率。按照《路透金融词典》的解释,LIBOR指伦敦银行同业市场拆借短期资金(隔夜至一年)的利率,代表国际货币市场的拆借利率,是最常用的短期利率基准之一,可作为贷款或浮动利率票据的利率基准。     

基于区制转移模型的国内外同业拆借利率联动性研究

本文应用Markov区制转移模型对上海银行间同业拆借利率(SHIBOR)和伦敦银行间同业拆借利率(LIBOR)的非线性联动关系进行研究.结果表明,可以将SHIBOR划分为三种区制,即“弱波动”、“中波动”和“强波动”;这三种区制的自身持续性均较好,区制与区制之间的转移具有非对称性;在“弱波动”和“强波动”区制中,LIBOR正向影响SHIBOR,而在“中波动”区制中则为负向影响;LIBOR在“强波动”区制中的影响最强,而在“中波动”区制中的影响最弱.因此,应进一步加强对国际金融形势阶段性的合理判断,加强金融政策的前瞻性和有效性.     

股票价格与利率波动的实证检验

就利率如何影响股票价格进行了理论分析,并利用银行间同业拆借市场7天加权平均利率与上证综合指数数据进行了实证研究,发现中国的股票价格与利率之间存在共同的长期趋势,利率的波动领先股票指数的变动。对此现象,给出了此相应的经济解释和政策建议。     

我国银行同业拆借市场利率波动特征分析

利用ARMA—GARCH族模型对上海银行同业拆借市场隔夜折借利率进行了实证分析,得出如下几点结论:(1)银行同业拆借利率存在尖峰厚尾特征,非正态分布更适合描述隔夜拆借利差的厚尾特征;(2)银行同业隔夜拆借利差存在着波动的集聚性;(3)同业拆借利差波动存在着杠杆效应或不对称性,非预期的正的利差抖动引起的波动上升大于同幅度的非预期负的利差抖动引起的波动的上升,即利率上升引起的波动高于同幅度利率下降引起的波动。     

中国金融资产定价中无风险利率的选择研究

本文通过借鉴国外成熟金融市场无风险利率选择的实践经验，运用我国金融市场的实际数据，从无风险资产的四个方面属性对银行同业间拆借市场、银行间债券回购市场及交易所回购市场等三大资金市场进行了对比分析，认为从银行间债券回购市场中选择回购期限为3—7天的债券回购等金融工具作为我国金融市场无风险资产以及利用R07D(加权)平均利率来估计金融定价中的无风险利率更加具有科学性。     

我国银行同业拆借利率效应研究

本文利用2002-2006年的月度样本数据对我国同业拆借市场各期限利率进行了相关分析与协整分析，在此基础上又进一步探讨了同业拆借利率与债券回购利率之间的关系。实证结果表明，目前同业拆借市场各期限利率的利率效应具有协同效果；同业拆借利率时债券回购利率有正的影响，但在央行不同的基准利率调整区间，回购利率时同业拆借利率影响并不相同，而且目前我国同业拆借利率市场化程度并不高。     

中美股市杠杆效应与波动溢出效应——基于GARCH模型的实证分析

本文基于极大似然函数值准则和赤池信息准则,从众多非对称GARCH模型中选择最优模型来研究中美股市杠杆效应和波动溢出效应。结果表明:沪市和深市都表现出显著的杠杆效应,与美国股市相比沪市和深市杠杆效应较弱;沪市和深市之间存在显著的双向波动溢出效应,且沪市对深市的波动溢出效应更显著;美国股市与中国股市之间不存在显著的波动溢出效应。     

"Meteor showers" and "heat waves" in Greek financial markets

This paper examines the presence of "meteor showers" and "heat waves" effects in Greek financial markets. In particular, the relationship between the stock market price index volatility and the volatility of three exchange rates (U.S. dollar, deutsche mark, and ECU) recorded on a daily basis is investigated. The results provide evidence in favor of the "heat wave" hypothesis, while the "meteor shower" hypothesis was observed only with respect to the U.S. dollar.We would like to thank, without implicating, participants in the Country Studies session of the 43rd International Atlantic Economic Conference held in London, England and especially Dorota Witkowska for helpful comments and suggestions.     

Return and volatility spillovers between china and world oil markets

We examine return and volatility spillovers between China and world oil markets. This topic is of great importance because China is the world's second-largest oil importer and has exhibited substantial growth in oil consumption. Extending Diebold and Yilmaz's (2012) method of catching spillover dynamics, it is found that return and volatility spillovers between China and world oil markets are bi-directional and asymmetric. The Chinese oil market is highly affected by world oil markets and exerts an influence on world oil markets, although to a lesser extent. Moreover, the volatility spillover index has increased significantly since the peak of the last financial crisis in September 2008. Although the US oil market impacts China's market most in terms of spillover, the influence of China's oil market on the world oil market has intensified in recent years.     

碳排放权交易市场的信息流动关系——基于EUA市场和CER市场的实证研究

基于Granger因果关系检验方法和MGARCH-BEKK模型,从报酬溢出和波动溢出的角度,研究国际碳排放权交易市场中的主要商品———EUAs和sCERs各自的期货价格与现货价格之间以及两者的期货价格之间的信息流动关系。结果表明:两个市场的现货市场始终都处于价格信息中心,期货市场的价格发现功能较弱甚至未体现;信息波动溢出方面,EUA市场中期货市场处于波动信息中心,而CER市场中现货市场处于波动信息中心;EUA的期货市场与CER的期货市场之间存在相互的价格溢出效应与波动溢出效应,但EUA市场的期货价格对CER市场具有更大的波动溢出效应。     

基金投资行为与股票市场稳定性研究——基于VAR模型和MGARCH模型的实证分析

笔者基于VAR模型和MGARCH模型,利用总量数据,对基金投资活动与我国股票市场波动性及其溢出效应进行实证研究。研究结果发现:基金的投资活动与股票市场波动之间存在双向影响机制,基金投资活动已开始对股票市场的波动形成影响,但基金没能起到稳定市场的作用;从波动溢出效应看,基金投资活动与股票市场波动存在双向的波动溢出效应,但溢出效应较小。     

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.     

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.     

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.     

Co-movement and spillovers: empirical evidence from BRIC equity markets

A higher degree of co-movement and spillover effects among different asset classes undermine portfolio diversification benefits. In this regard, the present study attempts to capture dynamic co-movement and return-volatility spillover effects among the most promising emerging equity markets, i.e. Brazil, Russia, India and China in a multivariate framework by employing VAR-ABEKK and VAR-DCC-AGARCH (1,1) models. To further comprehend the behaviour of the correlation coefficients during the global financial crisis period (2007–2009), heat map and Markov regime switching model (two regimes with a switch at ‘mean’ level only) have been used. The results report that the BRIC equity markets do not share a common stochastic trend in the long run. There is strong evidence of market shocks to volatility, volatility to volatility and negative shocks to volatility spillover effects among the BRIC markets. Overall, the BRIC markets are partially integrated with each other, thereby making them stronger investment candidates.     

期货价格收益率与波动性的实证研究——以中国上海与英国伦敦为例

采用协整模型、Granger因果关系检验、ECM模型及几种GARCH模型对中国上海与英国伦敦金属期货价格收益率和波动性做了研究.发现两市期货价格之间存在Granger因果关系、协整关系、同向变动关系和长期的共同趋势.采用ECM模型研究了两市的短期波动差异.GARCH类模型研究发现,两市波动性存在非对称性、溢出效应、杠杆效应.上海对伦敦市场的单向溢出效应显著存在.两市存在的利空消息均大于利多消息的作用,伦敦期货市场风险大于上海期货市场风险.