汇率波动对世界经济的影响北大核心CSSCISSCI

本文从实体经济和金融市场两个维度入手,将汇率波动影响世界经济的渠道归纳为贸易规模效应、资本流动效应和金融稳定效应。利用世界主要经济体2008-2015年的季度面板数据,借助TGARCH模型测度世界汇率的波动指标,并采用PVAR模型实证检验了汇率波动对世界经济的影响。研究发现,汇率波动促进了资本的全球流动,但是不利于国际贸易的发展,也在一定程度上加剧了金融市场的动荡,从而不利于世界经济的发展,阻碍了世界经济的复苏。在此基础上,本文给出了相应的对策建议。     

国际生产分割、人民币汇率波动与进口贸易

本文探讨了在国际生产分割条件下,人民币实际有效汇率对进口贸易的影响。基于VECM模型,利用1997~2011年间的月度分行业高频数据,发现:进口贸易、汇率、外商直接投资和国内需求之间存在长期稳定均衡关系。国际生产分割导致中国大量进口中间产品并出口同类产品的制成品,这明显削弱了汇率对进口贸易的影响。在国际生产分割条件下,无论是在短期还是在长期,决定进口的主要因素是国内需求与外商直接投资,汇率对产品进口影响相对较小。     

汇率波动对我国外汇储备变动的非对称传导效应--基于非线性LSTARX-GARCH模型北大核心CSSCISSCI

本文以实际汇率、实际国际利差和实际对外投资等变量为主要考量因素,通过理论推导构建了包含我国实体经济基本面的宏观因素以及具有汇率传导机制的平滑转换自回归广义条件异方差(STARX-GARCH)模型,考察了外汇储备对诸因素的直接反馈强度和方向,以及各因素通过汇率渠道对外汇储备的间接影响,得出以下结论:影响外汇储备增速的诸宏观变量中,实际有效汇率对外汇储备增速的影响体现出显著的非对称与非线性特征,其它宏观经济变量除了具有影响外汇储备的直接渠道外,还经由实际有效汇率对外汇储备产生间接传递作用;预期的实际汇率升高会强化国外投资动机,吸引资金流入,提高我国外汇储备增速;我国利率同时作为货币政策工具和资本流入"闸门"起到双重作用,因此国际利差较高使外汇储备增速倾向于提升,反之则使之下降。     

基于STAR模型的人民币实际有效汇率波动分析北大核心

人民币实际有效汇率指数的波动分析,对于汇率风险的防控具有重要作用。本文基于非线性STAR模型对人民币实际有效汇率时间序列的动态行为进行研究,结果显示,人民币实际有效汇率存在显著的非线性特征,在长期内呈现均值回复现象,并且LSTAR模型能较好地描述人民币实际有效汇率的非线性波动特点。     

中美贸易摩擦视角下的股、汇市风险溢出研究

本文以近十几年来国际金融重大事件为节点,将整个研究样本划分为金融危机、欧债危机、平稳期、中国股市异常波动和贸易摩擦五个阶段,综合运用分位数回归模型和CoVaR方法对中美股、汇市场间双向的风险溢出效应进行研究,进而对比中美贸易摩擦阶段与其他阶段的股、汇市风险溢出及其差异。结果表明,贸易摩擦阶段下美国股、汇市存在对中国股、汇市的双重单向风险溢出,且溢出效应较为显著。与其他阶段相比,尽管中美股、汇市间的波动在贸易摩擦阶段相对平稳,但美国股、汇市对中国股、汇市的单向风险溢出强度很大且影响深远。     

中美贸易摩擦下汇市、股市和债市间的风险溢出效应研究

本文基于中美贸易摩擦视角下,选取2016年8月1日至2019年11月29日的美元/人民币汇率、沪深300指数和企债指数日频数据,结合VAR模型量化研究我国汇市、股市和债市间的风险溢出效应。结果发现:汇率冲击在短期内对股市具有正向作用,随后转为负冲击,而汇率对债市短期内均为负冲击,且汇率冲击对股市的影响程度相较于债市而言更大;债市易受其他两市的影响,但对汇市和股市的影响甚微。     

人民币汇率与股市溢出效应分析

汇率与股市之间的关系在不同时期往往呈现出不同的特征。近年来,随着811汇改、美元加息及中美贸易战等事件的发生,人民币开始进入贬值通道,相应地我国股市也有所下跌。通过建立非对称VAR-GARCH-BEKK模型,研究2015年8月至2018年9月人民币汇率与股市之间的溢出效应,结果表明,人民币汇率对我国股市具有单向的均值溢出与波动溢出,人民币汇率变动是股市变动的格兰杰原因。     

人民币汇率波动的价格传导效应研究北大核心CSSCISSCI

本文针对汇率波动对进口价格、国内价格的传导效应进行实证检验。采用Jo-hansen&Juselius协整检验法估计汇率-价格传导的长期关系。通过HP滤波求得变量的短期波动序列,采用脉冲响应函数及预测误差方差分解方法分析汇率、价格波动的动态短期引致关系。同时还考虑到结构变化和价格环境对传导效应影响。研究结果表明:无论长期内还是短期内,进口价格对汇率波动的反应都很敏感;生产者价格对汇率波动的反应虽然比较及时,但是反应不足;消费者价格指数对汇率波动的反应不仅存在时滞,而且反应最弱。此外,我们还发现汇率对国内价格的传导存在结构变化现象,近年来汇率波动对国内物价的传导有上升的趋势。     

人民币汇率波动与汇率操纵——基于中美贸易顺差的VECM检验

随着中美之间贸易顺差日益扩大,中国被指"操纵"人民币汇率。本文将通过构建VECM模型,将人民币对美元汇率、汇率波动及国民收入纳入统一的框架来综合分析中美贸易顺差扩大的真正原因,以此说明中国是否存在"汇率操纵"。通过格兰杰因果检验、脉冲响应和方差分解,发现中美贸易顺差主要由国内经济驱动,而不是汇率因素,因此中国不存在"汇率操纵"。     

央行汇率沟通与股票市场波动

本文基于2005年7月至2017年2月的日度数据,检验中国央行汇率沟通对于股票市场波动率的影响,研究结果发现:(1)央行汇率沟通会对本国股票市场产生明显的溢出效应,并显著增加股票市场的波动率,B股市场波动率反应程度显著强于A股市场。(2)书面沟通的效果强于口头沟通,口头沟通中行长沟通效果强于非行长沟通;汇率贬值的沟通效果显著强于汇率升值沟通。(3)汇率沟通对于股票市场波动率的影响存在着明显的非线性。     

Price Limits and Stock Market Volatility in the Athens Stock Exchange

In this paper, we have examined the effects of price limits on the stock volatility in the Athens Stock Exchange. We put forward two hypotheses, the information hypothesis, which implies that price limits only slow down the process of adjustment and have no effect on stock volatility; and the over-reaction hypothesis, which assumes that investors tend to overreact to new information, so that price limits give them time to reassess the information and reduce stock volatility. Our results show strong support for the information hypothesis. This evidence is obtained by performing the tests on ten stocks, which include heavily traded stocks as well as less active stocks, and covering a variety of industries, and on a market wide price index. The results are also robust to the frequency of the measurement of the returns, and to the tightness of the limits.     

Stock Market Volatility in an Emerging Market: Further Evidence from the Athens Stock Exchange

We investigate the time series properties of the daily and weekly returns from the Athens Stock Exchange (ASE) index for the years 1987 to 1997. We investigate whether important time-series characteristics have changed significantly over time. The Greek market has recently undergone major changes including complete capital flow liberalization, the implementation of computerized trading, as well as significant increases in market volume and capitalization; we thus contrast the 1987–90 and 1991–97 periods. Our findings suggest the dynamics of the ASE composite index returns have changed as the market has developed.     

SV—N与SV—M模型测量股市波动性的应用

与传统的GARCH类模型一样,SV模犁(随机波动模型)是用来捕捉股市波动特征的一个较好的模型,该模型在国外得到广泛的应用.实证研究表明:利用SV模型的两个子类,即基于正态分布下的SV模型(SV-N)和均值SV模型(SV-M)来测量我国沪深股市波动性明显优于GARCH类模型,能够更好地描述其统计特征.     

国际市场冲击、名义汇率和股票市场收益——基于汇改后数据的经验研究

运用协整理论和时滞增广VAR模型,研究自2005年7月人民币汇率改革以来我国A股市场、外汇市场和美国股票市场的联动关系及其传导机制,发现美国股票市场通过流量渠道对我国股票市场和人民币汇率产生影响。我国资本市场受到国际资本市场影响的最根本原因在于中国实行的是出口导向型经济增长方式,而不是人民币汇率制度。因此,维护我国资本市场稳定的关键在于转变经济增长方式,在转变过程中要保持人民币汇率的相对稳定。     

股票市场、人民币汇率与中国货币需求

本文在开放经济条件下考察了1999年1月至2010年5月期间中国货币需求函数的特征。研究结果表明通胀预期、股票价格波动和人民币汇率是影响长期货币需求的重要因素。股票收益率和通胀预期都是衡量企业和居民持有货币的重要机会成本变量,但通胀预期占主导地位。人民币升值和升值预期通过货币替代效应和国际资本流动效应增加了长期实际货币余额需求。研究结果还表明在样本期间人民币汇率波动的短期国际资本流动效应是造成中国A股市场动荡加剧的重要原因之一。这意味着中国货币政策的制定与实施应该至少关注资产价格波动和考虑人民币汇率因素,尤其是当前应特别注重稳定人民币升值预期。     

汇率冲击、公司特质与外汇风险暴露——基于上证180样本股票的分析

开放经济条件下,汇率波动对上市公司价值的影响成为学者和业界广泛关注的重要课题。学者在研究外汇风险暴露的过程中发现,即使是同行业的公司,外汇风险暴露差异也很大,公司特异性因素对外汇风险暴露的水平有重要影响。2005年7月21日人民币汇率形成机制改革启动,人民币汇率波动幅度不断扩大,我国企业面临的外汇风险将不断增大。本文在对我国上市公司外汇风险暴露进行实证分析的基础上,采取两阶段回归方法,对影响上市公司外汇风险暴露公司特异性因素进行深入分析,认为36%的样本上市公司有显著的外汇风险暴露,这一比例高于发达国家的水平;外汇风险暴露与外部经济活动、负债状况和公司成长性密切相关。     

Volatility Spillovers Between Stock Returns and Exchange Rate Changes: International Evidence

We investigate interdependencies between stock returns and exchange rate changes for six industrialised countries, namely the US, the UK, Japan, Germany, France and Canada, by testing for volatility spillovers using a bivariate EGARCH model. Volatility spillovers from stock returns to exchange rate changes are found for all countries except Germany. These spillovers are symmetric in nature. No evidence is found of volatility spillovers from exchange rate changes to stock returns for any country. Spillovers from stock returns to exchange rate changes have increased since October 1987. This finding is consistent with the notion that international financial markets have become increasingly integrated.     

Expectations,Behavior, and Stock Market Volatility

Stock market volatility is caused by investors’ expectations and behavior. To study the implication relationship, on the one hand, we present an investor’s expectation-forming and decision-making model to summarize the key features of individual behavior. We think the individual expectation is determined mainly by the number of differences between positive signals and negative signals in the information flow. The behavior is determined by both the expectations of investors around him (her) and the expected returns from a potential action. On the other hand, we simulate an investor community to verify if the model is able to replicate the related stylized facts. Mainly, three conclusions are drawn from the simulation: (1) A relationship of asymmetrical conditional dependence exists between expectation consistency and behavior consistency. (2) Market volatility is caused mainly by the difference between expectation consistency and behavior consistency. As the density of connections in the investor community network increases, the difference between them grows. (3) Influential investors have profound impacts on the formation of normal investors’ expectations and behavior. Thus influential investors play an important role in determining the degree of market volatility.     

Volatility Spillovers Between Stock Returns and Exchange Rate Changes: International Evidence

We investigate interdependencies between stock returns and exchange rate changes for six industrialised countries, namely the US, the UK, Japan, Germany, France and Canada, by testing for volatility spillovers using a bivariate EGARCH model. Volatility spillovers from stock returns to exchange rate changes are found for all countries except Germany. These spillovers are symmetric in nature. No evidence is found of volatility spillovers from exchange rate changes to stock returns for any country. Spillovers from stock returns to exchange rate changes have increased since October 1987. This finding is consistent with the notion that international financial markets have become increasingly integrated.