证券市场卖空机制的对冲功能探讨

一、卖空机制对冲功能的理论分析金融的基本内涵就是借贷,这就蕴涵着金融市场具有“空头”机制。套利就是在借贷这个基础平台上对买空与卖空的结合运做。空头机制具有以下作用:如果金融市场存在被低估的金融产品或复制组合,建立现金空头购入它们,从而产生巨大的需求;如果存在被     

金融危机下卖空管制对证券市场的影响——以台湾市场为例

该文以台湾市场为例,研究金融危机下卖空管制对证券市场的影响.首先对卖空交易实施管制前后波动性和流动性的变化进行了比较分析,然后通过运用Hardouvelis and Theodosiou(2001)波动差异模型,实证研究了日内波动性的变化.研究发现,加大卖空限制后市场波动性不仅没有减少反而加大了;而且加大卖空限制后市场流动性减小,股市下跌的趋势也没有得到扭转.从台湾市场来看,卖空管制并没有达到稳定市场的预期目的,只在一定程度上缓解了投资者心理上对危机的恐惧情绪.     

证券市场中卖空交易机制基本功能研究

本文通过利用境外实证研究结果和境外市场的数据进行实证这两种方式对国外证券市场中卖空交易机制的基本功能进行深入的研究.研究结果表明,证券市场中的卖空交易机制能发挥稳定市场、价格发现和提供流动性的功能,但卖空机制的宏观调控功能的实际效果并不理想.     

我国证券市场卖空机制模式的选择分析

现有卖空机制模式基本可分为日本模式、瑞士模式、芬兰模式、美国模式等四种模式,这四者对证券借贷的专控性体现出依次趋弱特征.从模式运行背景来看,芬兰模式对于我国证券市场具有较明显的优势特征,我国证券卖空机制模式较宜选择芬兰模式.     

卖空机制对上市公司股利政策的抉择影响

本文以2007—2017年我国A股上市公司为样本,采用双重差分法研究可卖空公司在现金股利政策和"高送转"分配方案之间的抉择问题。研究发现,卖空机制促进了可融券公司的现金股利分配意愿和现金股利分配水平,同时降低了其选取"高送转"分配的可能性。进一步分析发现,这种影响通过治理机制发挥作用,且融资约束削弱了卖空机制对上市公司股利政策的治理效应。     

关于建立融券卖空机制对股市影响的分析

通过对股价涨跌、波动幅度和成交量的对比分析,可以发现融券卖空机制的引入有利于完善证券市场的价格发现机制,增强证券公司的盈利能力,丰富投资者的投资选择。在进一步增强证券的可融性,降低中国股市的系统性风险和控制监管漏洞与异常交易的基础上,中国股市建立融券卖空机制的现实条件已基本具备。     

作为风险释放工具的卖空机制——基于不同市场态势的卖空效应研究北大核心CSSCISSCI

党的十八届五中全会要求"以可控方式和节奏主动释放风险",然而,释放风险的方式却有待探索。本文考察了卖空机制对股价崩盘风险的影响,借此检验卖空的风险释放作用。研究发现,在市场上涨阶段,卖空能有效抑制股价崩盘风险(主动风险释放);在下跌阶段,会放大股价崩盘风险(加速风险释放)。跨周期检验结果显示,前期上涨阶段的卖空对后期下跌过程中的风险也具有释放作用。本文为市场发生流动性危机时政府采取的"逆周期"紧急干预措施提供了经验支持。     

卖空机制不一定会造成股灾

转融通业务的正式落地为中国A股市场步入“做空时代”揭开了序幕。要使得卖空交易不被市场投机者滥用、对股票市场的交易行为形成负面冲击,笔者认为有三大规则是必须确立的：     

卖空机制对股票市场影响的研究初探

2010年3月31日,我国股票市场正式启动了融资融券业务,融资融券业务的推出标志着我国证券市场正式告别"单边市"时代,我国证券市场也具有了卖空机制,本文以卖空交易为研究对象,研究卖空交易对股票市场的相关影响,笔者认为我国融资融券业务的推出将极大增强我国股票市场的有效性,有利于我国股票市场稳步健康发展。     

融资融券是否加剧了中国证券市场波动性——基于TVP-VAR模型的实证分析

融资融券业务对中国证券市场波动性具有显著的正向冲击。随着融资融券标的扩容,融资融券对证券市场波动性的冲击表现出明显的时变特征。融资买入额对市场波动性除即期影响外,还具有较强的中长期影响;融券卖出数则主要表现为即期正向冲击,中长期影响不显著。此外,融券业务在中期对市场波动有一定的平抑作用,但由于中国证券市场做空机制限制,平复市场的能力依然较弱。     

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.     

The Political Economy of Volatility Dynamics in the Hong Kong Stock Market

Despite its obvious importance, little empirical research has examined the impact of political risk on stock market volatility. This paper uses data on the Hong Kong stock market over a long sample period to investigate whether political risk has induced regime shifts in stock market volatility. Regime shifts are modelled via a Markov switching EGARCH model that allows for regime-dependent volatility asymmetry. We find strong evidence of regime shifts in conditional volatility as well as significant volatility asymmetry in high volatility periods. Major political uncertainties were reflected in a switch to the high-volatility regime. However, contrary to popular perceptions, we find no evidence that the Hong Kong stock market has become persistently more volatile since the start of Sino-British political negotiations in 1982.     

Limit Orders, Depth, and Volatility: Evidence from the Stock Exchange of Hong Kong

We investigate the role of limit orders in the liquidity provision in a pure order-driven market. Results show that market depth rises subsequent to an increase in transitory volatility, and transitory volatility declines subsequent to an increase in market depth. We also examine how transitory volatility affects the mix between limit orders and market orders. When transitory volatility arises from the ask (bid) side, investors will submit more limit sell (buy) orders than market sell (buy) orders. This result is consistent with the existence of limit-order traders who enter the market and place orders when liquidity is needed.     

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.     

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.     

Internal Market Efficiency,Market Co-movement,and Cross-Market Efficiency: The Case of Hong Kong and Shanghai Stock Markets

We examine the effects of the 2008 financial crisis on the cross-market efficiency of the Hong Kong and Shanghai stock markets. Our results show a sharp decline in the cross-market efficiency during the financial crisis. We investigate whether this is due to lower internal market efficiency or higher market co-movement. The results show no evidence that the internal market efficiency dropped in Hong Kong or Shanghai during the crisis. In contrast, we document a strong increase in the market co-movement during the crisis. These results suggest that the decline in cross-market efficiency during the financial crisis is due to increased market co-movement and not a decline in internal market efficiency.     

Index Future Trading and Spot Market Volatility in Frontier Markets: Evidence from Ho Chi Minh Stock Exchange

Asia-Pacific Financial Markets - This study investigates the impact of index futures trading on the spot market volatility for Ho Chi Minh Stock Exchange (HOSE). The data used in this study are...     

香港股市与内地股市的联动性研究

本文分3个阶段考察了香港回归以来,香港股市和内地股市之间的联动关系及其变化。协整分析表明,香港股市和内地股市之间存在长期的均衡关系,这种均衡关系在内地资本市场实行股权分置改革后更趋于稳定。Granger因果检验表明,香港回归以来香港股市和内地股市之间的引导关系在经历B股开放和股权分置改革后发生了变化。脉冲响应函数分析从动态的角度进一步验证了香港股市和内地股市之间的引导关系及其变化,并深入分析了单个变量的波动或冲击对其自身及另一变量的影响程度。     

Insider Trading in the Hong Kong Stock Market

Many previous studies on insider trading are based ondata in the U.S. capital market and conclude thatinsiders can earn abnormal profits. This paperexamines abnormal price performance associated withinsider trading in the Hong Kong stock market. We findthat abnormal profits associated with insider tradingare all concentrated on small firms. Trading volumedoes matter in determining the magnitude of thoseabnormal profits. Our results show that insiders ofmedium-sized and large firms do not earn abnormalprofits. Finally, it is found that outsiders who mimicthe information of insider trades associated withmedium-sized and large firms cannot earn abnormalprofits.     

Empirical Analysis of Stock Returns and Volatility: Evidence from Seven Asian Stock Markets Based on TAR-GARCH Model

This paper investigates the time-series behavior of stock returns for seven Asian stock markets. In most cases, higher average returns appear to be associated with a higher level of volatility. Testing the relationship between stock returns and unexpected volatility, the evidence shows that four out of seven Asian stock markets have significant results. Further analyzing the relationship between stock returns and time-varying volatility by using Threshold Autoregressive GARCH(1,1)-in-mean specification indicates that the null hypothesis of no asymmetric effect on the conditional volatility is rejected for the daily data. However, the null cannot be rejected for the monthly data.