我国股本权证定价效果的实证研究

我们应用四种权证定价模型和方法,对我国的股本权证的定价效果进行检验,发现:1)Black-Scholes模型和Monte Carlo方法是比较有效的定价方法;2)有效的程度不很高,存在系统的模型误差;3)模型误差的原因是标的股票收益率分布的非正态性。     

权证影响正股的定价效率吗

本文回答了权证在上市后是否能提高正股定价效率这一问题，以正股的收益率为研究对象，本文用EGARCH模型分析了日收益率的大小及其方差的变动情况在双证上市前后是否有显著差异，实证结果表明，从整体看双证尽管不会显著降低正股的定价效率，但是作为一种金融衍生品，权证并没有对正股定价效率的提高发挥显著作用。本文认为原因可能来自我国权证制度本身，包括卖方资格的限制以及创设保证金的要求所导致的套期保值和套利成本过高。因此，保证金融衍生品套期保证值和套利功能的实现，是提高标的资产定价效率的必要条件。     

我国分离式可转债对标的股票影响的实证分析

本文对股权分置改革后的权证市场进行了研究,选取了2005年底至2008年10月市场推出的18只分离式可转债权证为研究对象,运用事件研究法分别选取权证上市日跟股权登记日为事件日,实证结果表明股权登记日前后权证标的股票有显著的异常收益率。本文指出由于权证上市时的套利操作和权证特殊的交易制度造成了权证交易对标的股票的影响。     

权证提高了标的股票的定价效率吗——基于我国股票市场实证研究

现阶段在我国,权证提高了标的股票的定价效率了吗?本文围绕这个问题,分析了权证上市后,标的股票的波动性是否减弱、杠杆效应是否消除、长期记忆性是否减轻和系统风险是否降低.通过TARCH模型和带虚拟变量的系统风险分析模型对上述4个方面进行了分析和探讨.不可否认的是.每只标的股票都有一定的特殊性.但是参数估计的结果有助于我们认识权证对标的股票定价效率的影响.而充分认识权证对标的股票的影响有利于股票和其他金融产品定价的合理化.有利于提高金融产品的定价效率,有利于金融创新,有利于我国资本市场的健康发展.基于这些重要的理论和现实意义,本文系统分析了我国的权证对标的股票定价效率的影响,尝试给出分析我国权证影响标的股票定价效率的研究框架和模型.     

沪深权证价格偏离分析

沪深证券市场权证理论价格与权证市场价格的偏离现象主要不是理论定价公式的输入变量误差导致的,而是因为股票收益率与权证收益率之间的相关系数与理论预期不一致,乃至相冲突所导致的。权证理论价格与市场价格偏离的主要原因是在当前的交易制度安排下,由于市场限制(摩擦)抑制了套利交易,导致权证市场投机交易占主导,以致权证市场价格偏离长期均衡水平。     

权证上市能引起标的股标价格上涨吗——基于牛熊市角度的事件研究

为检验不同市场行情下权证上市对标的股票价格的影响,文章选取牛、熊市发行上市权证及其标的股票为样本,利用事件研究法进行了实证研究.结果表明:牛市行情下,权证上市能引起标的股票价格上涨,产生显著、较高、持续的累计超额收益,说明牛市行情下利用权证作为对价方式进行股改是可行的;而熊市行情下,权证上市不会导致标的股票价格下跌,因此利用权证配合可分离债进行再融资是熊市行情下的可行方式.     

基于马尔科夫状态转换下的CAPM实证研究

传统资本资产定价模型（CAPM）不仅假定收益率为正态分布，同时认为反映市场风险载荷系数和条件方差是固定的，这与现实存在较大出入。实际上资产收益率的结构存在动态不断转换特性，本文从动态角度提出了基于马尔科夫状态转换下的资本资产定价模型，即允许股票系数和条件方差呈现时变状况，经与经典资本资产定价模型估计结果比较表明，本模型具有更好的效果并刻画了动态变化过程。     

权证与我国资本市场的发展

权证(Warrants)是一种特定的合约，它赋予持有人一个权利而非义务，以行使价在特定期限内购买或出售一定数量的标的资产。在国外成熟的权证市场上，其标的既包括常见的金融工具如股票、债券、外币等，还包括衍生金融产品如期权、期货等。通常以各种标的资产的名称来命名权证种类，比如股票权证．债券权证、外币权证以及期货权证等，其中以股票权证占大多数。     

重设型备兑权证的避险策略问题研究

<正>权证作为一种股权分置改革的对价形式再次登陆我国市场,掀开了金融创新的序幕。权证产品给广大投资者提供了一种新型的投资工具,上市以来交易极为活跃,由于权证规模较小,供不应求的局面导致市场笼罩在极度的投机氛围中,沦为投机者的博傻工具。为了平抑权证市场的过度投机,券商被允许发行与现有上市权证具有相同条款的权证,即创设,以此增加供应量,改善权证市场供不应求的状况。为了保证履约的安全,交易所规定券商创设认购权证质押全额的标的股票,创设认购权证质押全额的行权资金。由于质押等比     

认股权证与股价的相关性分析

一、问题的提出 在告别中国证券市场9年之后,权证产品终于重新亮相.2005年8月22日宝钢认购权证宝钢JTB1在上海交易所上市交易.随后在2005年11月23日,首支蝶式权证武钢认购和认沽权证以及其它权证相继上市.半年以来,各类权证产品在证券市场上要么被疯狂炒作,要么一路消沉.认股权证作为一种金融衍生产品,其价格与标的股票的价格到底有着多大的相关性和联系呢?它们之间又是怎么样相互影响的呢?单个认股权证、蝶式权证与股票价格之间的影响有多少差异呢?     

The effect of CBOE option listing on the volatility of NYSE traded stocks: a time-varying variance approach

This paper employs the standard General Auto-regressive Conditional Heteroskedasticity (GARCH(1,1)) process to examine the impact of option listing on volatility the underlying stocks. It takes into consideration the time variation in the individual stock's variance and explicitly tests whether option listing causes any permanent volatility change. It also investigates the impact of option listing on the speed at which information is incorporated into the stock price. The study uses clean samples to avoid sample selection biases and control samples to account for the change in the volatility and/or information flows that may be caused by factors other than option listing.     

中国股市开、收盘波动性的比较研究

利用EGARCH模型,对2000年1月至2007年4月间沪深两市具有代表性的股票及指数的开收盘收益率的波动性进行实证分析,结果表明收益率序列有明显的ARCH效应,其波动性具有显著的非对称性的冲击的持续性;在样本期内,上交所的个股和指数未能观察到开盘波动性高于收盘波动性的现象,而深交所个股在2006年7月实施收盘集合竞价机制之后比较明显地观察到开盘波动性高于收盘波动性的现象。     

基于CVaR-SV-N模型的股指期货风险度量

CVaR-SV-N模型能够更好地刻画股指期货收益率序列尖峰、厚尾和波动集群性的特征。以我国沪深300指数期货合约(IF1012)的日收益率为样本的实证分析表明建立在SV-N模型基础上的CVaR预测收益率涨跌波动与原始收益率的变化趋势比较一致,CVaR准确性检验说明CVaR预测收益的准确性在统计上是显著的,能够较准确地预测风险。     

The Conditional Performance of REIT Stock Repurchases

This paper uses a conditional performance measure to test whether real estate investment trust (REIT) managers announcing stock repurchases have private information about their firms' prospects. We use stock price to condition for public information and measure the managers' implied private information by the covariance between repurchase size and subsequent stock payoffs (or operating performance). Results show that managers have private information but mostly with respect to long-term as opposed to near-term payoffs. We also find that repurchase size is positively related to a stock's idiosyncratic return volatility, perhaps because noisy stocks deviate farther from fundamental value, offering informed managers larger profit potential. JEL Classification G12 G14 G35     

中国利率与股市间波动溢出效应的实证研究

采用多变量EGARCH模型分别对中国利率与沪深股市间的波动溢出效应进行的实证研究表明,股票收益率对利率收益率有着显著的短期动态影响;利率与沪深股市间存在着显著的双向波动溢出,除了利率对深圳市场的方向外,其他方向的波动溢出均存在着不对称性.     

ANALYSIS OF AN OPTION MARKET DYNAMICS BASED ON A HETEROGENEOUS AGENT MODEL

We propose a two‐market model in which an option market and its underlying market interact. Many artificial markets representing stock markets have been developed, and these models have been actively used to investigate the effects of market rules. However, no artificial market model for derivatives has been intensively studied, even though derivative markets are increasingly important. We tested stylized facts that can be observed in an option market and our model can replicate fat‐tailed distributions, positive skew of the return and positive autocorrelation of the square of return of implied volatility. We found that the speed of volatility mean reversion for fundamentalists and the existence of chartists are important factors for replicating the positive skew of an option market. The value of fat‐tailed distributions and positive skewness of the return get closer to the real value by coupling an option market and an underlying market. Copyright © 2014 John Wiley & Sons, Ltd.     

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.     

International capital asset pricing: Evidence from options

We study the risk dynamics and pricing in international economies through a joint analysis of the time-series returns and option prices on three equity indexes underlying three economies: the S&P 500 Index of the United States, the FTSE 100 Index of the United Kingdom, and the Nikkei-225 Stock Average of Japan. We develop an international capital asset pricing model, under which the return on each equity index is decomposed into two orthogonal jump-diffusion components: a global component and a country-specific component. We apply separate stochastic time changes to the two components so that stochastic volatility can come from both global and country-specific risks. For each economy, we assign separate market prices for the two return risk components and the two volatility risk components. Under this specification, we obtain tractable option pricing solutions. Model estimation reveals several interesting insights. First, global and country-specific return and volatility risks show different dynamics. Global return movements contain a larger discontinuous component, and global return volatility is more persistent than the country-specific counterparts. Second, investors charge positive prices for global return risk and negative prices for volatility risk, suggesting that investors are willing to pay positive premiums to hedge against downside global return movements and upside volatility movements. Third, the three economies contain different risk profiles and also price risks differently. Japan contains the largest idiosyncratic risk component and smallest global risk component. Investors in the Japanese market also price more heavily against future volatility increases than against future market downfalls.     

Specification Analysis of Option Pricing Models Based on Time-Changed Lévy Processes

We analyze the specifications of option pricing models based on time-changed Lévy processes. We classify option pricing models based on the structure of the jump component in the underlying return process, the source of stochastic volatility, and the specification of the volatility process itself. Our estimation of a variety of model specifications indicates that to better capture the behavior of the S&P 500 index options, we need to incorporate a high frequency jump component in the return process and generate stochastic volatilities from two different sources, the jump component and the diffusion component.     

Intra–day Behavior of Treasury Sector Index Option Implied Volatilities around Macroeconomic Announcements

If option implied volatility is an unbiased, efficient forecast of future return volatility in the underlying asset, then we should be able to predict its path around macroeconomic announcements from responses in cash markets. Regressions show that volatilities rise the afternoon before announcements that move cash markets, and that post–announcement volatilities return to normal as rapidly as cash prices do. Although implied volatilities are predictable, the Treasury options market is efficient since informed traders do not earn arbitrage profits once we account for trading costs.