融资融券对我国股市波动性影响的实证分析

以上海证券交易所的融资买入额和融券卖出量对上证指数波动性影响的实证研究表明,在融资融券业务中,融资业务对股市波动影响显著,且正相关,融券业务发展缓慢,业务量较小,对股市波动没有显著影响。总体上,融资融券有利于降低股市的波动性,有利于提高股市的有效性和稳定性。     

融资融券制度对我国股市波动性的影响——基于VAR模型分析

作为我国股票市场交易制度的重大改革举措之一,融资融券业务及其对股票市场的影响一直存在争议。本文基于2011年11月25日融资融券业务"转常规"后的第一个交易日至2014年11月28日共728个交易日的数据,利用计量模型——VAR模型实证分析融资融券制度对股市波动性的影响,最终得出结论市场的波动变化会引起卖空交易变化,但是做空交易没有造成市场的大幅度波动。     

我国融资融券交易对市场波动性影响的实证分析

融资融券交易对股市波动性的影响一直是市场关注的热点问题之一.本文通过运用Granger因果关系检验,发现市场波动性是投资者进行融资融券交易的决策依据之一,而融资融券交易并未显著影响市场的波动性水平.文章进一步结合我国融资融券业务开展的现状,对造成这种结果的可能原因进行了分析.     

融资融券对我国股市波动性的影响——基于上证指数的实证分析

本文通过在GED-GR ACH(1,1)和GED-EGR ACH(1,1)模型中引入两个虚拟变量来实证分析融资融券业务在试点期和转常规期对上证指数波动性的影响。研究结果表明:融资融券具有平抑股市波动的效果,并且转常规期比试点期的平抑效果更明显,标的证券扩充确实给市场增添了新的活力;股市的波动具有杠杆效应,利空消息比利多消息对股市波动的影响更大。     

融资融券交易对我国证券市场波动性的影响

本文运用VAR模型对2010年4月12日至2014年12月31日期间沪深两市股指(股价)的波动性与融资融券余额之间的相互影响关系进了实证研究。研究显示:股价指数的波动主要受自身历史波动的影响,融资融券对指数波动性有微弱影响。从整体上看,融资余额会影响股价指数波动,而指数波动并不影响融资余额;融券余额不影响指数波动幅度,而指数波动幅度会影响融券余额。融资余额冲击对指数波动具有正向冲击,冲击在第七天达到高峰,而后逐渐减弱;融券余额在前三天对指数的波动性产生微弱的负向冲击,随后产生正向冲击,在第八天达到最大,而后逐渐减弱。     

我国融资融券业务对股票市场波动性影响分析

融资融券业务是基于投资者对股票市场未来走势预期判断基础上而衍生出来的一种投资策略,主要为了满足投资者在股票下跌时有效控制风险。从近几年股票市场异常波动来看,融资融券业务都发挥着助涨助跌的作用,但是从远期看将会对促进我国资本市场稳定发展与改革创新具有积极意义,正基于融资融券与股票的内在联系,我们投资股票有了一个新的参考指标,即追踪每日融资融券余额变动,从而为仓位变化以及选择个股作出一个大致判断。本文首先对选题进行背景阐述,从实际出发分析选择该题的意义所在,其次通过我国开通融资融券业务以来有代表性的融资融券余额数据与股票指数的关系阐述它们两者的内在关联,从而引出我国融资融券的发展现状与面临的实际问题,最后从定性与定量两个角度说明融资融券业务对我国股票市场流动性的影响。     

融资融券对股市波动性影响的实证研究——以深证为例

本文主要从实证角度去考察融资融券交易机制对股票市场波动性的影响,并选取我国证券市场过去几年的相关交易数据进行实证研究。在实证中运用Granger因果检验、脉冲响应函数、方差分解等计量经济学方法进行实证验证,得出了如下结论:一是在我国证券市场中,股票指数变动是融券余额变动的Granger原因,融资融券余额变动不是融券余额变动的Granger原因,融资融券并不是造成市场波动的本质原因;二是在我国融资融券额对股票指数变动的影响都不大,融资交易相比融券交易对市场指数变动的解释程更大,并且对市场指数变动影响的持续时间更长。     

融资融券机制对我国股市波动性的影响——基于上证50的实证分析

2010年3月31日,沪深两市正式接受券商的融资融券交易申报.经过4年准备的融资融券交易正式进入市场操作阶段.为了解其是否会影响股市的波动性、如何影响,本文运用VAR模型和Granger检验,基于上证50支首批允许融资融券交易股票437个交易日的数据进行实证分析并得到相关结论.最后本文在短期数据分析的基础上,分析预测了融资融券机制对我国A股市场的长期影响     

融资融券对股票市场波动性的影响

融资融券业务作为资本市场走向成熟的重要标志,在国外已经有多年的开展历史,近几年来在我国也日趋得到重视。但融资融券业务对股市波动性的影响始终存在分歧,而对于我国股票市场的实证分析也较少。本文旨在通过对沪深300的指数的波动性与其同期融资融券余额进行分析,建立计量模型,检验融资融券业务的展开与股价波动是否相关,最后给出对融资融券业务在我国股票市场进一步开展的政策建议。     

融资融券试点对我国股票市场波动性的影响实证研究

融资融券交易正式启动对我国股票市场将产生什么样的波动性影响,是学术界和理论界共同关注的焦点。本文在前人研究基础上,从我国实际情况出发,以标的证券指数——上证50指数与深证成指指数作为影响我国股票市场的代表展开实证,运用GARCH族模型,引入虚拟变量D,其中D用来刻画融资融券推出前后对我国股票市场的影响。通过建模,得出融资融券试点一年多时间以来有利于减小我国股票市场波动性的结论。     

Stock Market Volatility and Economic Factors

This paper examines the ability of rational economic factors to explain stock market volatility. A simple model of the economy under uncertainty identifies four determinants of stock market volatility: uncertainty about the price level, the riskless rate of interest, the risk premium on equity and the ratio of expected profits to expected revenues. In initial tests these variables have significant explanatory power and account for over 50 per cent of the variation in market volatility from 1929 to 1989. When the regression coefficients are allowed to vary over time using cluster regression, the four factors explain over 90 per cent of the variation in market volatility. The results are useful in explaining the past behavior of stock market volatility and in forecasting future volatility.     

The Dynamic Relation Between Stock Returns, Trading Volume, and Volatility

We examine the dynamic relation between returns, volume, and volatility of stock indexes. The data come from nine national markets and cover the period from 1973 to 2000. The results show a positive correlation between trading volume and the absolute value of the stock price change. Granger causality tests demonstrate that for some countries, returns cause volume and volume causes returns. Our results indicate that trading volume contributes some information to the returns process. The results also show persistence in volatility even after we incorporate contemporaneous and lagged volume effects. The results are robust across the nine national markets.     

Trading Volume and Market Volatility: Developed versus Emerging Stock Markets

We investigate the relation between volatility and volume in 22 developed markets and 27 emerging markets. Compared to developed markets, emerging markets show a greater response to large information shocks and exhibit greater sensitivity to unexpected volume. We find a negative relation between expected volume and volatility in several emerging markets, which can be attributed to the relative inefficiency in those markets. Previous research reports that the persistence in volatility is not eliminated when lagged or contemporaneous trading volume is considered. Our findings show that, when volume is decomposed into expected and unexpected components, volatility persistence decreases.     

Market Structure and Return Volatility: Evidence from the Hong Kong Stock Market

There is no consensus about the cause for higher volatility at the market open than at the market close in the U.S. market. As an order–driven, nonspecialist market, the Hong Kong stock market provides a useful setting for an examination. If halt of trade were the major cause of higher open–to–open volatility, the open–to–open volatility in the Hong Kong market would be higher. However, this is not observed. The autocorrelation of the open–to–open return series also indicates that the temporary price deviation at the market opening is not significant. We view these findings as consistent with the specialist argument.     

Macroeconomic Determinants of European Stock Market Volatility

In this paper we investigate whether macroeconomic variability can explain time variation in European stock market volatility. We find that unlike the documented case of the USA, in many cases, the time variation in stock market volatility is found to be significantly affected by the past variability of either monetary or real macroeconomic factors. Our findings have important implications for capital and portfolio allocations.     

The Impact of Universal Stock Futures on Feedback Trading and Volatility Dynamics

Abstract:  This paper investigates the impact of the introduction of Universal Stock Futures (USFs) on underlying market dynamics (volatility and the level of feedback trading). Analysis of USFs provides a number of advantages compared to investigation of index futures, leading to reliable and wider ranging insights into the impact of derivatives. Specifically: (i) any impact of derivatives is more likely to be evident in the behaviour of individual stocks; (ii) with USFs it is possible to directly trade the underlying; (iii) USFs have multiple introduction dates within a given market; (iv) differential country/industry effects can be identified; and (v) the endogeneity issue can be addressed using control stocks. Findings suggest limited feedback trading in USF stocks, but listing has reduced this further. While news has less impact and persistence and asymmetry effects are more evident post-futures, control stock results suggest these changes are not futures induced. Differences are evident across industries. The need for analysis of an appropriate (industry based) control sample is highlighted if reliable policy conclusions are to be reached.     

The Impact of Information Release on Stock Price Volatility and Trading Volume: The Rights Offering Case

This paper examines whether information released via rights offering announcements induces changes in price volatility and trading volume of underlying stock. The results of this paper provide support for the release of new information via offering announcements and evidence of its effects on price volatility and volume of underlying stock. Specifically, utilization of the announced information by investors is evidenced by greater trading volume following the announcement date than during the pre-announcement period. We interpret this result to mean that informedness dominates consensus. However, stock price volatility decreased from the pre-announcement period to the post-expiration period of rights offerings.     

基于小波CCC-GARCH模型的融资融券交易与证券市场波动率关系研究

以2010年4月2日～2016年7月21日的中国证券市场交易数据为样本,运用小波CCC-GARCH模型,考量融资融券交易对证券市场波动率的影响.结果表明,融资交易行为对证券市场收益率和成交量的波动均有较显著的影响,而融券交易对市场波动率的影响不显著.同时,融资交易行为对市场的影响主要由高频信号所驱动,投资者短期非理性行为或噪音交易对市场波动的影响较大.为促进市场的健康发展,应均衡融资融券业务的发展,培养理性机构投资者,加强投资者风险警示加快融资融券数据库的建设.     

The Effect of Market Transparency: Volatility and Liquidity in the Korean Stock Market

Faced with unprecedented competition, stock markets should have fairness and transparency. The effects of market transparency for the stock market volatility and liquidity will be investigated using the case of the Korean stock market. The evidence from this study indicates that increasing the market transparency makes the price discovery process more efficient than before from the viewpoint of stock market volatility, and increases the stock market liquidity compared with before.