投资者情绪、经济政策不确定与股市流动性

文章以2010年1月至2021年3月为样本期,运用SVAR模型探究投资者情绪、经济政策不确定与股市流动性之间的关系。实证结果表明：当经济政策不确定增加时,投资者不再愿意持有流动性资产,股市流动性急剧降低;随着政策实施效果逐渐展现,长期投资者将预期看好股市,股票市场流动性快速增加。同时,经济政策不确定性的增加会引起投资者的恐慌,这是因为政府政策实施存在时滞。但投资者情绪会因为国内政治环境的稳定和投资者预期看好政策执行的效果而逐渐回归理性。当经济政策的不确定性较高时,即使投资者情绪高涨,投资者也会先观望市场情绪,谨慎投资,导致短期内股票市场流动性降低。     

货币政策、投资者情绪对股市流动性的影响研究——基于A股市场的实证分析

以我国2010—2021年宏观货币政策、投资者情绪和股票市场相关数据为样本,基于格兰杰因果检验、脉冲响应函数和方差分解等方法,对货币供应量、银行间7天同业拆借利率、ISI投资者情绪指标和股市流动性之间的动态关系进行分析。结果表明,货币政策和投资者情绪均对股市流动性产生正向影响,其中,市场利率对股市流动性变化的贡献率最高,货币供应量的贡献率最低;货币政策对股市流动性冲击的响应强度最大,货币供应量对股市流动性的影响时长明显短于市场利率和投资者情绪。     

中国股票市场发展与经济增长的实证研究

本文运用Johansen协整检验、格兰杰因果检验等计量经济学方法,通过分析我国近年来宏观数据及股市规模、流动性和波动性的季度数据,对中国股票市场发展与经济增长的关系进行了计量学检验。得出的结论是：总体上,中国股票市场和经济增长之间存在长期的均衡关系,经济增长对股市的发展具有一定促进作用,但股票市场对经济增长的作用十分有限。     

股票市场发展与经济增长——从流动性的视角

基于前人的重要结论,从流动性的角度,将流动性分为成交量、换手率两个方面。通过向量自回归（VAR）建立模型进行进一步的研究,得出股票交易成交量与经济增长的长期均衡关系,并通过VECM模型与Granger因果关系检验对所建立的模型进行进一步验证。研究结果显示,股票市场的流动性与经济增长存在显著的关系。进一步研究换手率对股票流动性的影响可得出的结论是,股票市场的流动性与经济增长存在长期的均衡关系,并且流动性中,成交额与经济增长存在正向关系,而换手率与经济增长存在负向关系,两者都是通过影响股票市场的总市值来进一步影响经济增长的。     

股票市场的流动性及流动性风险溢价研究

股票市场流动性是股票市场的重要特征之一,股票市场流动性以及流动性风险溢价一直受到广大学者、投资者的关注.文章从股票市场流动性的定义、特征、意义以及流动性风险溢价角度梳理已有研究成果,对于股票市场流动性的进一步研究,以及投资者所需考虑的因素有一定参考意义.     

卖空障碍、投资者情绪与股票价格异象

利用2003年1月至2011年12月我国沪深两市A股上市公司的月度数据,采用月调整组合方式,分别利用双变量T检验法和资本资产定价模型检验中国股票市场中"价格异象"的存在性,利用相关分析法检验了价格异象不属于小公司异象,利用Tobit模型研究个人投资者持股的决定因素,采用主成分分析法构造投资者情绪指数,分析投资者情绪、卖空障碍与价格异象之间的关系。研究结果显示:股票价格越低,个人投资者持股比例越高;投资者情绪和卖空障碍是导致价格异象的主要原因。     

基金家族的竞争对股票市场流动性与波动性的影响

本文以54只基金重仑股和193只开放式基金为研究对象,构造基金家族的竞争特征变量因子,运用截面时间序列回归法实证检验了基金家族的竞争对股票市场流动性与波动性所产生的影响.结果表明,在绝对差别与标准差别两种情况下,基金规模、投资者的风险容忍度不能充分解释股票市场的漉动性,与股票市场波动性的关系不显著；基金所在家族的基金数量、投资者需求、基金获得的信息、基金经理的风险容忍度与股票市场流动性关系显著.从总体上来看,基金的特征变量在某种程度上推动股票市场"共同运动",股票市场的漉动性与波动性对基金的特征变量因子的反应不具有明显的持续性.     

我国股票市场发展对经济增长路径影响的经验研究

文章采用协整检验和葛兰杰因果方法 ,检验我国股票市场发展对经济增长作用的影响途径。结果表明 :股票市场发展通过促进有形资本存量的增加 ,推动经济增长。经济增长又反作用于股票市场。股票市场发展对技术进步的影响不显著     

我国股票市场与经济增长关系的实证研究

笔者利用我国1993年～2007年的时间序列数据,运用协整分析技术和格兰杰因果检验等计量分析方法,对我国股票市场与经济增长之间的关系进行分析.实证检验结果显示,我国股票市场与经济增长存在弱相关性,经济增长对股票市场发展有显著的影响,股票市场对经济增长的作用不显著.在选取的股票市场指标中,股票市场规模、交易率、筹资率对经济增长的影响显著,其他指标作用影响不显著;而经济增长对所选取的表示股票市场发展状况的指标有显著的影响.     

连续竞价市场个股流动性的度量方法、指标与模型

基于金融市场微观结构理论,股票市场流动性具有宽度、深度、弹性和即时性等四维特性。由于中国股票市场采用的是连续性的竞价系统,因而对股票市场个股流动性的度量方法、指标和模型的确定,必须适合中国股票市场的特性。同时,对流动性的刻画不应局限在制度的研究上,对投资者行为的研究也是一个非常重要的方面。     

Stock return autocorrelations and predictability in the Chinese stock market—Evidence from threshold quantile autoregressive models

This paper applies the threshold quantile autoregressive model to study stock return autocorrelations and predictability in the Chinese stock market from 2005 to 2014. The results show that the Shanghai A-share stock index has significant negative autocorrelations in the lower regime and has significant positive autocorrelations in the higher regime. It attributes that Chinese investors overreact and underreact in two different states. These results are similar when we employ individual stocks. Besides, we investigate stock return autocorrelations by different stock characteristics, including liquidity, volatility, market to book ratio and investor sentiment. The results show autocorrelations are significantly large in the middle and higher regimes of market to book ratio and volatility. Psychological biases can result into return autocorrelations by using investor sentiment proxy since autocorrelations are significantly larger in the middle and higher regime of investor sentiment. The empirical results show that predictability exists in the Chinese stock market.     

Daily happiness and stock returns: The case of Chinese company listed in the United States

Existing literature exclusively focuses on the association between local investor sentiment and local stock market performance. In this paper, we investigate the contemporaneous and the lead-lag relationship between local daily happiness sentiment extracted from Twitter and stock returns of cross-listed companies, i.e., the Chinese companies listed in the United States. The empirical results show that: 1) by respectively controlling for the firm capitalization, liquidity and volatility, there exists the largest skewness on the Most-happiness subgroup. (2) There exist bi-directional relationships between daily happiness sentiment and market variables, i.e., the stock return, range-based volatility and excess trading volume. (3) There are significantly positive stock returns, higher excess trading volume and higher range-based volatility around the daily happiness sentiment spike days. These findings not only suggest that there exists significant interdependence between online activities and stock market dynamics, but also provide evidence for the existence of “home bias”.     

Investor sentiment,trading behavior and stock returns

This article examines how investor sentiment and trading behaviour affect asset returns. By analysing the unique stock trading dataset of the Korean market, we find that high investor sentiment induces higher stock market returns. We also find that institutional (individual) trades are positively (negatively) associated with stock returns, suggesting the information superiority (inferiority) of institutional (individual) investors. Investor sentiment generally plays a more important role in explaining stock market returns than investor trading behaviour.     

Threshold effect in the relationship between investor sentiment and stock market returns: a PSTR specification

This article verifies whether the hypothesis of heterogeneous agent modelling and the behavioural heterogeneity framework can reproduce recent stylized facts regarding stock markets (e.g. the 1987 crash, internet bubble, and subprime crisis). To this end, we investigate the relationship between investor sentiment and stock market returns for the G7 countries from June 1987 to February 2014. We propose an empirical non-linear panel data specification based on the panel switching transition model to capture the investor sentiment-stock return relationship, while enabling investor sentiment to act asymmetrically, non-linearly, and time varyingly according to the market state and investor attitude towards risk. Our findings are twofold. First, we show that the hypotheses of efficiency, rationality, and representative agent do not hold in reproducing stock market dynamics. Second, investor sentiment affects stock returns significantly and non-linearly, but its effects vary with the market conditions. Indeed, the market appears predominated by fundamental investors in the first regime. In the second regime, investor sentiment effect is positively activated, increasing stock returns; however, when their overconfidence sentiment exceeds some threshold, this effect becomes inverse in the third regime for a high threshold level of market confidence and investor over-optimism.     

A nonlinear Granger causality test between stock returns and investor sentiment for Chinese stock market: a wavelet-based approach

In this article, we re-examine the causality between the stock returns and investor sentiment in China. The number of net added accounts is used as a proxy for investor sentiment. To mimic the different investment horizons of market participants, we use the wavelet method to decompose stock returns and investor sentiment into time series with different frequencies. Additionally, we test for nonlinear causal relationships based on Taylor series approximation. Our results indicate that there is a one-directional linear causality from stock returns to investor sentiment on the original series, while there is a strong bi-directional nonlinear causality between stock returns and investor sentiment at different timescales.     

Does mixed-frequency investor sentiment impact stock returns? Based on the empirical study of MIDAS regression model

We examine whether mixed-frequency investor sentiment affects stock returns. In line with recent evidence from China, we find that the aggregate effect and the individual effect of mixed-frequency investor sentiment are statistically significant, and mixed-frequency investor sentiment is more important than the low-frequency one. Moreover, mixed-frequency investor sentiment, which is mixed by high-frequency data, can be more important than the market premium.     

Sentiment asset pricing model with consumption

We present an asset pricing model by incorporating investor sentiment. The sentiment equilibrium price could be decomposed to the rational term and the sentiment term, and the investor sentiment has a systematic and significant impact on the risky asset price. In the model, the sentiment term has a wealth-weighted average structure and the investor's wealth proportion could amplify the sentiment shock on the asset price. The model could offer a partial explanation of some financial anomalies in the stock market: the phenomenon of savings transfer to the stock market, pricing bubble and high volatility.     

投资者情绪、股票错误估值与上市公司投资简

以剩余收益估值模型衡量股票错误估值程度,基于公司层面测度投资者情绪,利用非平衡面板数据模型检验投资投资者情绪如何通过证券市场传导到上市公司从而影响其实际投资行为。实证研究发现,投资者情绪主要通过直接的迎合渠道而非间接的股权融资渠道影响上市公司投资行为,且公司投资在迎合渠道上表现出对投资者情绪的“反迎合机制”,此外不同特征的公司其投资对投资者情绪的敏感度存在横截面差异。     

心理还是实质:汶川地震对中国资本市场的影响

本文通过汶川地震这一独特自然事件,用公司与震中距离来衡量地震导致的投资者负面情绪(如焦虑和恐惧),研究汶川地震对中国资本市场造成的影响。与现有文献关于投资者情绪能够影响股票收益率的研究相一致,本文发现地震后12个月内(2008.6—2009.5),距离震中越近的公司,股票收益率越低。在控制了风险因素后,震中500公里以内的股票收益率显著为负,平均为每月-3%左右,而500公里以外的股票收益率不显著。并且公司与震中距离每增加1000公里,其年收益率平均升高3%。进一步分析发现,该现象地震前不存在,与系统风险的变化无关,并且不能由地震造成的实质经济损失来解释。总之,本文的研究表明汶川地震导致的投资者负面情绪能够影响股票收益率。