我国股市波动对货币政策的效应分析

随着我国股票市场的建立与发展,货币政策实施的环境发生了很大变化。本文经过实证分析,发现1993年以来我国股市波动对货币政策执行效果具有随机性的双重效应。我国股市的过度投机行为,转轨时期的特殊经济环境引起公众心理预期变化和收入差距拉大是造成我国股市波动对货币政策效果产生随机效应的具体原因。为提高我国货币政策的有效性,央行应将股市波动对货币政策的影响纳入可控的范围之内。     

基于SVAR模型的货币政策传导与股市波动

本文通过构建实际利率、货币供应量变动率和上证综指收益率的三元结构SVAR（结构向量自回归）模型,进行定量分析。主要创新结论有：我国利率已经由以往纯粹的外生变量逐步转化为经济系统的内生变量,应继续推进利率市场化改革;利率的调整往往对股市具有较大影响,如果频繁的运用存贷款利率货币调控政策,则对股票市场的发展产生阻碍作用;所以现阶段的调控措施,央行应该侧重于运用数量型货币工具存款准备金率,而非传统的价格型货币工具存贷款利率,才能维护股市稳定,保证经济持续健康发展。     

货币政策对股市波动和相关性的混频非对称影响研究

货币政策作为需求管理的重要宏观经济调控政策,对股市走势和波动有着非常重要的影响。随着海峡两岸经济的蓬勃发展,中国内地(大陆)、中国香港、中国台湾股市在全球金融市场中的地位越来越重要。本文采用DCC-MIDAS模型全面分析了低频货币政策对高频中国内地(大陆)与港台股市波动及相关性的非对称性影响,克服了传统同频数据模型无法处理月度货币政策与日度股市数据所带来的频次不匹配和信息损失问题。研究结果表明：货币政策变化对于中国内地(大陆)与港台股市不同成分的波动影响具有显著的非对称性和异质性。在短期波动中,货币政策在香港和台湾股市存在非对称性;在长期波动中,扩张性和紧缩性的单一货币政策均会增大股市波动,但影响程度有所不同,而同时考虑数量型和价格型货币政策时,紧缩性货币政策会抑制内地(大陆)股市的长期波动。股市间长期相关性的结果表明,无论扩张性还是紧缩性的货币政策都将抑制中国内地(大陆)与港台股市间长期相关性。     

基于我国货币政策不确定性的股市波动长短期成分测度研究

本文基于月频金融数据,构建了我国金融状况指数(FCI)以表征货币政策的不确定性,同时基于日频上综、深综和恒生中国三个股价指数,使用BDFM模型构建我国综合股价指数(CSI)代表股市,接着使用混频抽样GARCH(GARCH-MIDAS)模型实证分析我国股市波动的长短期成分及货币政策不确定性对其的影响。结果表明,GARCH-MIDAS模型较好地测度了我国股市波动的长短期成分,货币政策不确定性的水平值对我国股市波动没有显著影响,但其波动率则为显著的正向影响。     

货币流动性波动对我国货币政策有效性影响分析

从1997年至2013年这6年间,我国国内流动性历了剧烈上下震荡,造成了央行货币政策传导的有效性不足以及不对称,造成货币政策实施的难度。如何很好的恰当的货币政策以及该政策所产生的有效性问题成为各国央行所力求稳定并持续追踪的的问题。本文首先介绍了流动性波动和货币政策的基本定义和理论,梳理了货币政策有效性的主要观点。其次理论剖析以为,在流动性上下颠簸猛烈下,会经由利率影响信贷渠道,进而影响信贷终端即实体经济,从而对货币政策的完备性传达产生干扰,其效果不尽如人意,轻易对中小企业产生不好以及不明结果的影响。最后本文提出了一些政策建议。中央银行应对疏通货币政策的传导渠道,缩短货币政策传导时滞,管理流动性波动以及制定中小企业扶持政策等方面进行改进,以提高货币政策有效性,保证宏观经济健康平稳运行。     

我国货币政策对股市的影响力研究

股票市场需要资金(或货币)的支撑,而央行控制着货币供给的“总阀门”,从这个角度理解,货币政策似乎具有调控股票市场价格水平的能力。但即便货币政策具有调控股市价格能力的假设成立,西方理论界在货币政策如何应对股市波动的问题上仍然存在着巨大的分歧,甚至是对立的观点,即“应该干涉VS不干涉”。一种观点认为货币政策应该对股市波动作出积极反应。而另一种观点则认为货币政策不应干预股市波动。我国学者对这个问题的看法比较相似,没有形成大的分歧。瞿强、谢平和孙华妤认为我国目前货币政策要“关注”股票价格,但不要“钉住”股票价格。…     

金融危机下国际大宗商品价格波动对我国货币政策的影响研究

文章利用大量经验数据,对国际大宗商品价格波动给我国货币政策造成的影响进行了实证分析。分析表明,国际大宗商品价格变化会对我国货币需求产生重要影响,特别是在我国大宗商品市场规模不断扩大和国际化程度不断提高的情况下,国际大宗商品价格波动通过影响我国大宗商品现货和期货市场,进而影响我国货币政策的机制已逐步形成。     

货币政策对股市波动存在时滞吗?——基于货币供应量与利率变动的考察

本文运用VAR模型考察了货币政策对股市波动的影响,研究结果发现:货币政策会对股价波动产生显著性的影响;货币政策对股市波动作用时点存在2个月左右的时滞,货币供应量的影响在时滞点达到峰值,其后虽仍维持正向但会减弱,而利率在时滞点后对股市波动的负向作用相较明显且影响持续时间长,但两者对股价波动影响的贡献要小于股市本身.     

国债期货价格波动与货币政策

我国国债期货市场自2013年恢复交易以来,交易规模快速增长,市场深度和广度不断扩展。本文基于GARCH模型和VEC模型,实证分析了我国国债期货价格波动的特征、市场有效性以及国债期货与货币政策间的相关性。得出结论:国债期货市场对外部冲击的反应递减速度较慢;国债期货对国债现货价格具有较好的引导作用,但市场还未达到成熟的地步;国债期货价格的变动受短期货币市场利率的影响;国债期货价格对广义货币供应量具有单向引导关系。     

Does the Exchange Rate Respond to Monetary Policy in Mexico? Solving an Exchange Rate Puzzle in Emerging Markets

This paper argues that the null or weak response of emerging market currencies to domestic monetary policy documented in the literature is the result of wide event windows. An event study with intraday data for Mexico shows that an unanticipated tightening appreciates the currency and flattens the yield curve, consistent with the evidence for advanced economies. With daily event windows, however, only the yield curve responds to monetary policy. Noise in daily exchange rate returns explains the lack of response of the currency. Such noise gives rise to a bias that declines after controlling for potential omitted variables.     

Leverage and Volatility Feedback Effects in High-Frequency Data

We examine the relationship between volatility and past andfuture returns using high-frequency aggregate equity index data.Consistent with a prolonged "leverage" effect, we find the correlationsbetween absolute high-frequency returns and current and pasthigh-frequency returns to be significantly negative for severaldays, whereas the reverse cross-correlations are generally negligible.We also find that high-frequency data may be used in more accuratelyassessing volatility asymmetries over longer daily return horizons.Furthermore, our analysis of several popular continuous-timestochastic volatility models clearly points to the importanceof allowing for multiple latent volatility factors for satisfactorilydescribing the observed volatility asymmetries.     

不同的政策不确定性对股市波动影响相同吗?

本文基于多因子混频波动率模型,研究经济政策不确定性对股市行业波动的影响,为预防出现结构性断点,将样本分为经济增长和经济平稳两个时期,分别探讨两个时期内经济政策不确定性对股市波动的影响。研究发现,在全样本时期货币政策不确定性会显著增强行业波动,贸易和外汇政策不确定性会抑制行业波动,而财政政策不确定性的影响存在行业差异性;子样本结果显示,贸易政策不确定性对行业波动的影响存在非对称性,在经济增长期存在助推作用,在经济平稳期存在抑制作用;同时行业波动在经济增长期对贸易政策反应敏感,在经济平稳期对财政政策反应敏感。     

Distribution forecast targeting in an open-economy,macroeconomic volatility and financial implications

In an open-economy faced with parameter uncertainty, this paper uses distribution forecasts to investigate the impact of alternative inflation targeting policies on macroeconomic volatility and their potential implications on financial stability. Theoretically, Domestic Inflation Targeting (DIT) leads to less volatility than Consumer Price Index Inflation Targeting (CPIIT) for several macroeconomic variables and, in particular, for the interest rate. Empirically, a positive relationship between interest rate volatility and financial instability emerges for the US, UK and Sweden since the early 1990s. Bridging theory and empirical evidence, we conclude that the choice of the inflation targeting regime has an important impact on macroeconomic volatility and potential implications for financial stability.     

Unconventional monetary policy announcements and risk aversion: evidence from the U.S. and European equity markets

ABSTRACT

This paper examines the role of unconventional monetary policy announcements on risk aversion – as proxied by the variance premium – by using panel data analysis. The objective of this empirical analysis is to investigate the risk-taking channel of monetary policy for the major European and U.S. equity markets by studying the impact that the announcements of an unconventional monetary policy has on market uncertainty and risk perception. By measuring the difference between risk-neutral and realised and conditional variance, we estimate the variance premium, which captures the impact that pricing concerns have on the prices of options. The empirical analysis indicates that easing monetary policies can significantly reduce the variance premium. In addition, we examine the risk premium structure across markets to determine the potential differences in investors’ risk aversion.     

Volatility dependences of stock markets with structural breaks

We develop a Vector Heterogeneous Autoregression model with Continuous Volatility and Jumps (VHARCJ) where residuals follow a flexible dynamic heterogeneous covariance structure. We employ the Bayesian data augmentation approach to match the realised volatility series based on high-frequency data from six stock markets. The structural breaks in the covariance are captured by an exogenous stochastic component that follows a three-state Markov regime-switching process. We find that the stock markets have higher volatility dependence during turmoil periods and that breakdowns in volatility dependence can be attributed to the increase in market volatilities. We also find positive correlations between the Asian stock markets, the European stock market, and the UK stock market. The US stock market has positive correlations with all other markets for most of the sample periods, indicating the leading position of US stock market in the global stock markets. In addition, the proposed three-state VHARCJ model with Dynamic Conditional Correlation (DCC) and break structure under student-t distribution has a superior density forecast performance as compared to the competing models. The forecast models with structural breaks outperform those without structural breaks based on the log predicted likelihood, the log Bayesian factor, and the root mean square loss function.     

中央银行：选择什么目标，需要什么工具

本文围绕中央银行的多重货币政策目标和多种货币政策工具的选择问题,重点对中央银行是否应当直接以经济活动作为货币政策目标、兼顾金融稳定、关注汇率以及如何应对名义利率下限等四个问题展开讨论。