可交易价值与股票短期收益分析——基于不同市场环境的实证研究

通过对股票可交易过程的分析,提出可交易价值的概念并指出价格、流动性和波动性是构成可交易价值的主要因素,并在CAPM模型的基础上建立考虑股票可交易价值的资本资产定价模型。运用横截面回归法分别对我国沪深A股市场处于熊市和牛市阶段的行业日交易数据进行实证分析,指出以日风险收益率为代表的股票短期预期收益率不仅与传统系统风险因子有关,还受可交易价值中价格因子、流动性因子和波动性因子影响。并且,在不同市场环境下,可交易价值各因子的表现形式也不同,既反映出市场及投资者不同的心理预期,也为市场预测和监管提供了一种新的途径。     

关于投资者对股票基本面消息反应的研究——基于1994-2006年中国A股面板数据

通过采用收益率波动分解的研究框架对上海证券交易所和深圳证券交易所A股1994-2006年面板数据进行分析,本文发现A股投资者的预期收益率随着投资者对公司利润预期的上调而提高,导致A股收益率实际的上升幅度小于公司利润增长的幅度.这说明中国投资者对股票基本面消息没有过度反应,上市公司规模、向量自回归模型系数矩阵和协方差矩阵的不同假设都不影响这一结论的稳健性.     

中国A股市场股票收益率风险因素分析:基于Fama-French三因素模型

本文以中国A股市场上市公司为样本,基于Fama-French三因素模型,实证分析了中国A股市场股票收益率的风险因子.研究结果表明,Fama-French三因素模型较CAPM模型能更好地解释中国A股市场的股票收益率;中国A股市场股票收益率存在规模与价值效应,股票(或股票组合)收益与公司规模呈显著负相关关系,而与公司账面市值比呈显著正相关关系.     

噪音交易与股价过度波动:理论与中国经验分析

中国股市股票价格的波动性过大,引起这种现象的一个重要原因是噪音交易的存在和频繁发生。本文采用事件分析法,随机抽取了上海A股市场的近200种股票作为样本,通过构建正反馈交易的"涨幅组合",对噪音交易者投资的累积异常收益率进行检验。结果表明:股市过度波动与噪音交易频繁有密切的联系;噪音交易者通常要承受巨大的风险,但其投资收益率一般情况下却为负。     

大单交易与股票价格:来自我国沪市的经验证据

本文利用上证180指数成分股交易数据,分析了A股市场大单交易对股票价格的影响。实证结果显示,无论大单交易是买方驱动还是卖方驱动,都对股票价格具有显著的暂时影响和永久影响,其中暂时影响程度与交易量显著正相关,而永久影响程度与交易量之间不存在简单的线性关系。另外,股票市值、股票收益率的波动性和市场环境等三个变量均是大单交易对股票价格影响程度的显著因素。     

噪音交易对股票收益率的影响——基于个股层面的研究

构建了衡量股票受噪音交易影响程度的指标,包括股票对投资者情绪指标的敏感程度、股票估值偏差、股价反应信息的滞后性和方差比率,并据此利用主成分分析法构造了综合指标,研究了噪音交易与股票特性、股票期望收益率的关系,以及不同市场阶段下噪音交易对股票期望收益率的影响。结果显示:账面市值比低、冲量高、收益率波动性高、财务杠杆率高、账面规模小的股票更易吸引噪音交易者;5个衡量股票受噪音交易影响程度的指标均与股票期望收益率正相关,且在市场上升阶段股票期望收益率更易受到噪音交易的影响。     

中国股票市场和债券市场收益率动态相关性分析

基于A股综合市场收益率和中信全债指数收益率数据来研究中国股票市场和债券市场收益率的动态相关性,并分析时变的股债相关性影响因素,以及在横截面上对股票收益率的定价影响进行考察后得知:股债相关性是时变的,股票市场的不确定性和预期通货膨胀率是影响股债相关性的主要因素;通过虚拟变量回归发现,股债相关性在横截面上对股票收益率的影响很小。这些结论对于投资者来说具有直接的现实意义。     

资产收益率与通货膨胀率关联性的实证分析

通过研究股票实际收益率与通货膨胀波动性之间的关系,可以判断股票市场波动和宏观经济运行之间的联系.我们检验发现,通货膨胀率的波动能够影响股票实际收益率的变化,这说明价格水平变化不仅影响消费品之间的替代,也影响投资品之间的替代.因此,通过积极货币政策缓解通货紧缩压力,可以增强股票市场的规模活性并形成收益率上升的稳定预期.     

流动性成本与股票定价--中国股票市场实证研究

股票市场流动性对股票定价(股票预期收益率)有着重要的影响。采用一种新的流动性指标(ILLIQ)和中国股票市场交易数据,来实证研究中国股票市场流动性成本与股票定价的关系后,发现流动性成本与股票定价(股票预期收益率)之间存在显著的正相关关系;而显示流动性成本,是投资者进行股票定价所考虑的重要因素之一。     

宏观冲击与股票收益率——基于日度数据的分析

本文利用中国A股市场日度数据研究了宏观经济冲击对于股票收益率的影响,同时使用金融机构的预测数据计算了市场对未来宏观经济的预期,从而可以准确识别宏观经济冲击对股票收益率的影响。本文的结果发现,在主要宏观经济变量中,工业增加值和生产者物价指数这两个宏观经济变量会对上海和深圳主板市场股票收益率产生显著影响。具体而言,工业增加值超预期冲击会对收益率产生正面影响,而生产者物价指数超预期冲击会对收益率产生负面影响。但在创业板市场中,所有宏观经济变量对市场收益率均没有显著影响。     

Investor Pessimism and the German Stock Market: Exploring Google Search Queries

We analyze the relationship of retail investor sentiment and the German stock market by introducing four distinct investor pessimism indices (IPIs) based on selected aggregate Google search queries. We assess the predictive power of weekly changes in sentiment captured by the IPIs for contemporaneous and future DAX returns, volatility and trading volume. The indices are found to have individually varying, but overall remarkably high explanatory power. An increase in retail investor pessimism is accompanied by decreasing contemporaneous market returns and an increase in volatility and trading volume. Future returns tend to increase while future volatility and trading volume decrease. The outcome is in line with the conjecture of correction effects. Overall, the results are well in line with modern investor sentiment theory.     

What are returns outside trading hours capturing for volatility of individual stocks?

This study is the first to harness the negative returns and squared returns outside trading hours, trading volume and leverage effects in an augmented heterogeneous autoregressive model for forecasting volatility of individual stocks. Besides significant leverage effects and trading volume impact, we find that an increase in the negative returns is associated with a decline in volatility, but an increase in the squared returns is associated with a rise in volatility. This new finding suggests that the negative returns and squared returns outside trading hours are capturing additional leverage effects and additional volatilities, respectively. Moreover, the relations display differences amongst various firm categories which arise from firm heterogeneity.     

THE DYNAMIC RELATION BETWEEN RETURNS,TRADING VOLUME,AND VOLATILITY: LESSONS FROM SPILLOVERS BETWEEN ASIA AND THE UNITED STATES

This paper investigates the dynamic relationship between index returns, return volatility, and trading volume for eight Asian markets and the US. We find cross‐border spillovers in returns to be non‐existent, spillovers in absolute returns between Asia and the US to be strong in both directions, and spillovers in volatility to run from Asia to the US. Trading volume, especially on the Asian markets, depends on shocks in domestic and foreign returns as well as on volatility, especially those shocks originating in the US. However, only weak evidence is found for trading volume influencing other variables. In the light of the theoretical models, these results suggest sequential information arrivals, with investors being overconfident and applying positive feedback strategy. Furthermore, new information causes price volatility to rise due to differences in its interpretation among traders, but the subsequent market reaction takes the form of adjustment in price level, not volatility. Lastly, the intensity of cross‐border spillovers seems to have increased following the 1997 crisis, which we interpret as evidence of increased noisiness in prices and diversity in opinions about news originating abroad. Our findings might also help to understand the nature of financial crises, to predict their further developments and consequences.     

市场分割下中国股市反馈交易实证研究——来自A股、B股和H股市场的经验证据

文章在行为资本资产定价模型(BCAPM)的基础上,通过借鉴Watanabe(2002)的方法,建立了GJR-GARCHM(1,1)-M模型,充分考虑中国股票市场处于分割状态的现状,使用基本覆盖A股、B股和H股市场全部交易历史的市场指数日收盘价数据,对A股、B股和H股市场的反馈交易行为进行研究和比较,结果显示:A股和B股市场都存在显著的正反馈交易效应,反馈交易行为主要取决于波动率水平和市场涨跌两个因素;与成熟股票市场类似,H股和红筹股市场的正反馈交易行为不显著;A股市场的反馈交易行为受市场涨跌因素影响更大,而B股市场的反馈交易行为主要由波动率水平决定;深市比沪市更容易出现正反馈交易者主导市场的现象。文章的研究不仅对行为资本资产定价理论的成立提供了经验性证据,而且对投资经理的实践操作和政策制定者的监管调控都具有一定的参考价值。     

中国封闭式基金价格报酬过度波动的经验分析

本文研究了中国封闭式基金价格报酬与净资产报酬的数据特征及其影响关系 ,主要的结果是 :( 1 )中国封闭式基金的价格报酬相对于基金的净资产报酬一方面存在过度波动 ,另一方面又存在反映不足 ;( 2 )通过检验表明 ,投资者情绪风险对价格报酬过度波动具有显著的影响 ,而Fama的三因素风险因子对价格报酬的过度波动几乎没有解释力 ;( 3 )封闭基金价格报酬的过度波动表明 :由于投资者行为使基金股票价格相对于基金净值存在额外的系统风险 ,封闭式基金折价正是对这种系统风险的一种补偿。     

Can volume predict Bitcoin returns and volatility? A quantiles-based approach

Prior studies on the price formation in the Bitcoin market consider the role of Bitcoin transactions at the conditional mean of the returns distribution. This study employs in contrast a non-parametric causality-in-quantiles test to analyse the causal relation between trading volume and Bitcoin returns and volatility, over the whole of their respective conditional distributions. The nonparametric characteristics of our test control for misspecification due to nonlinearity and structural breaks, two features of our data that cover 19th December 2011 to 25th April 2016. The causality-in-quantiles test reveals that volume can predict returns – except in Bitcoin bear and bull market regimes. This result highlights the importance of modelling nonlinearity and accounting for the tail behaviour when analysing causal relationships between Bitcoin returns and trading volume. We show, however, that volume cannot help predict the volatility of Bitcoin returns at any point of the conditional distribution.     

The impact of trading volume,number of trades and overnight returns on forecasting the daily realized range

Intraday data of 26 German stocks are used to investigate whether the information contained in trading volume and number of trades as well as in various specifications of overnight returns can improve one-step-ahead volatility forecasts. For this purpose, a HAR model of the realized range adjusted for discrete trading is augmented by each of these variables and compared with the model's default form. The results show that the considered liquidity measures lead to very modest improvements in forecasting performance. The overnight returns exhibit some in-sample forecasting power. However, the accuracy improvement of out-of-sample forecasts is unequivocally non-significant.     

限售股流通与股价效应关系的实证研究

本文运用事件研究法对限售股上市流通的股价效应进行了实证研究。研究结果袁明：限售股的上市流通带来负的股价效应;样本公司的特征及股票的交易特性显著影响股价效应;在累积超额收益率为正的样本中,累积超额收益率与净资产收益率负相关,与区间日均股票换手率、股票每股收益正相关;在累积超额收益率为负的样本中,累积超额收益率与IPO到限售流通股上市流通的时间、账面市值比、区间日均成交量负相关。     

The Availability Heuristic and Reversals Following Large Stock Price Changes

The author explores the effect of the availability heuristic on large daily stock price changes and on subsequent stock returns. He hypothesizes that if a major positive (negative) stock price move takes place on a day when the stock market index rises (falls), then its magnitude may be amplified by the availability of positive (negative) investment outcomes. In both cases, the availability heuristic may cause price overreaction to the initial company-specific shock, resulting in subsequent price reversal. In line with the hypothesis, the author documents that both positive and negative large price moves accompanied by the same-sign contemporaneous daily market returns are followed by significant reversals on the next 2 trading days and over 5- and 20-day intervals following the event, the magnitude of the reversals increasing over longer postevent windows, while large stock price changes taking place on the days when the market index moves in the opposite direction are followed by nonsignificant price drifts. The results remain robust after accounting for additional company (size, beta, historical volatility) and event-specific (stock's return and trading volume on the event day) factors, and are stronger for small and volatile stocks.