市场情绪、溢价与波动

本文在投资者异质性条件下建立了市场情绪与情绪溢价的理论模型,利用封闭式基金折价率、换手率、月度新股首次发行数量、月度新股首次发行收益和基金现金持有比例构建一个衡量市场情绪的综合指标。研究结果表明:中国股市市场情绪产生溢价并使深沪两市的收益产生波动;中国股市不仅有情绪的短期持续性和长期的逆转性,而且存在短期收益惯性和长期收益反转效应;市场情绪是导致中国股市非理性大起大落的重要因素。     

基于三期模型框架的噪音交易和有限套利条件下的基金经理投资行为研究

笔者利用三期模型框架,考虑噪音交易和有限套利两个约束条件,构建噪音交易者、基金投资者和长短期套利基金的投资行为模型,分析长、短期套利基金的投资业绩及其差异。研究发现:无论第2期后市场悲观情绪更加恶化或得到改善,短期套利基金的投资行为对基金投资者都是有害的;长期套利基金由于追求长期收益最大化,对基金投资者是有益的;基金投资者可以根据基金经理在第1期的投资行为及其仓位,识别是短期套利基金还是长期套利基金。     

金融市场不完全的理论分解与测度研究——基于中国封闭式基金折价的动态考察

基于金融市场不完全的结构分解,文章构建了一个涵盖市场交易费用、套利定价机制不完备程度和行为金融学因素的封闭式基金折价机理模型,分阶段计量分析发现:(1)普通交易成本因素影响基金折价约6.1%;(2)2007年前股指期货缺位因素导致基金折价约25.6%,之后随着股指期货的正式推出该影响显著下降;(3)市场套利定价机制不完备程度测度表明,该因素影响基金平均折价三个阶段分别为8.26%、5.87%和7.91%;(4)时期固定效应表明,有5个季度因投资者情绪相对乐观而降低了基金的平均折价率。     

中国股票市场投资者情绪研究综述

投资者情绪直接影响股票价格及收益波动,是投资决策的重要影响因素。文章梳理了投资者情绪的代理变量及度量方法、投资者情绪对资产定价、股票价格及收益波动、股票市场异常、企业投资决策及盈余管理的影响机理及后果,并提出未来研究展望。     

有限理性条件下的资产定价理论综述

传统的资产定价理论基于新古典经济学的研究框架,假定投资者是完全理性的,在这个基础上研究资产收益率的决定。然而,完全理性的投资者在现实中并不存在,并且基于完全理性的分析不能完全解释市场上的种种异象。与传统的研究方法不同,有限理性的资产定价理论认为:投资者是有限理性的,应按照一些基于经验的认知捷径来形成对未来的认识,并以此为基础进行投资。通过引入这种更符合现实的投资者,有限理性的资产定价理论研究资产收益率的决定,试图更好地解释各种市场现象。     

中国股票型基金季度内不可观测行为研究

现有信息披露机制决定了季度内基金投资行为不可观测,这导致了基金及投资经理的委托—代理行为,强化了基金短期炒作和投资风格轮动动机。本文借鉴Kacperczyk、Sialm和Zheng（2006）定义的＂收益差值＂指标,用以衡量基金的活跃交易收益及隐含成本,采用拓展的Fama—French三因子模型对30只股票型基金面板数据进行实证分析,结果显示＂收益差值＂指标对基金超额收益贡献明显,进一步采用市场周期虚拟变量说明基金交易活跃程度呈现周期性趋同变化,这种周期性变化加剧市场波动,其内在根源在于现代金融理论中资产定价理论假设与投资者行为的背离。     

封闭式证券投资基金的定价研究

封闭式证券投资基金是根据供求关系进行自由交易,其市场价格相对于资产净值将产生溢价或折价。研究了完全信息条件下与不完全信息条件下封闭式证券投资基金的定价,并在此基础上对我国的封闭式基金的现实价格波动进行了分析。     

异质预期、非理性行为与并购绩效——基于上市公司的实证研究

本文运用事件研究法,对2002-2005年的沪深上市公司并购行为进行了调查,发现反映投资者非理性行为的市场换手率、封闭式基金折价指数和个股超额换手率与公司并购后超额收益存在显著负相关关系.本文认为,Miller(1977)的观点并不完全成立,投资者畀质预期并不是导致公司并购前股票上升和并购后股价下跌的主要原因,投资者非理性行为扮演着重要的作用,股票的定价应该更充分考虑投资者的非理性行为.     

投资者对经济基本面的认知偏差会影响证券价格吗?——中美证券市场对比分析

本文通过放松Lucas(1978)资本资产定价模型的完全理性假设,构建了投资者的经济基本面认知偏差对证券价格影响的计量模型。当投资者主观认知和市场实际运行机制存在偏差时,该模型能较好地解释诸如消费增长率同股权溢价的相关性、累积超额收益等传统资产定价模型无法量化的诸多中国股市难题。本文还推导出了适用于非理性期望的广义矩估计方法(GMM),克服了现有GMM方法只能在完全理性期望下使用的局限性。基于该方法,本文以中国和美国为例,模拟检验了投资主体的不同认知偏差对股价和债券价格的差异性影响程度。结果显示,中美投资者的主观预期形式并不完全相同。美国投资者对经济基本面信息均值的变化反应较敏感;而中国投资者却对经济基本面波动的变化反应较敏感。该结果从认知偏差角度解释了中国股价长期背离经济基本面的现象,为政府规范股票市场的发展,促进股市服务实体经济提供了政策启示。     

股票市场投资者情绪指数构建

我国的股市作为一个典型的新兴市场,投资者情绪的变动对股市的收益变动有很大的影响,通过对投资者情绪对股票收益的影响研究可以使证券管理者和投资者对情绪的变动加以重视,以做出合理的决策.本文借鉴了国内外的研究,同时结合了我国股市的投资者情绪特征,选取了比年度和月度更低频率的周数据,通过主成份分析法构建了一个以封闭式基金折价率、新增A股开户数、上证指数换手率和成交量为间接的情绪指标和以消费者信心指数为直接的情绪指标的投资者情绪复合指数.     

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.     

The Role of Market Sentiment in Asset Allocations and Stock Returns

Abstract

The authors investigate the role of mutual fund flows in incorporating market sentiment into asset prices. They show that retail investors adjust their investments among mutual fund categories in response to changes in market sentiment. Consistent with sentiment-induced price pressure through fund flows, they further find that firms favored by mutual funds, such as large-cap, dividend payers, and firms with high institutional ownership are sensitive to market sentiment. The authors construct a pricing factor representing sentiment risk and find that the sentiment factor is significant in standard asset pricing models and robust to various sorting procedure.     

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.     

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.     

Changes in Investors' Market Attention and Near-Term Stock Market Returns

We use Google Search volume to track changes investors' positive and negative market attention. Our results support the hypothesis that this information reflects investors' optimistic and pessimistic anticipation and can be used to predict near-term future returns. We find that changes in negative search term volume of “market crash” and “bear market” and changes in positive search term volume “market rally” explain near-term stock returns. Changes in investors' attention are partly related to past stock market returns, implying that investors are prone to pay attention to possible price reversals. These measures of market attention are potential gauges of investor sentiment.     

Does High Stock Price Synchronicity Always Hurt Mutual Fund Industry? Sentiment Matters

Investors have agreed that high synchronicity of stock returns adversely influences professional funds' profitability. However, different market conditions where high synchronicity exists may have different effects on this relationship. This study incorporates aggregate investor sentiment as a market condition in the equation to explore whether and when the negative association between synchronicity and fund performance holds. The authors use a sample of actively managed U.S. equity mutual funds from 2000 to 2014 and employ a portfolio of 11 passively managed funds as the benchmark to measure fund performance and fund management skill. They find empirical evidence that synchronicity negatively impacts mutual funds' profitability when the investor sentiment is low. This negative relationship disappears in high-sentiment periods. They also find that in both low- and high-sentiment states, fund managers with superior stock selection skill make more profits from high synchronicity than the average.     

The role of Chinese stock market in global stock markets: A safe haven or a hedge?

The contribution of the study is threefold. First, the paper proposes a new empirically testable definition for a safe haven and a hedge from the viewpoint of extreme and regular dependences measured by a modern statistical tool of copulas. Second, this paper investigates the extreme and regular dependences between the Chinese and the G7 stock markets, using a mixture copula specification, and the results reveal that the Chinese stock market has been not only a hedge but also a safe haven for the G7 stock markets all these years. Finally, this study suggests that the Chinese stock market is the target market for global stock fund managers and international investors, who are seeking a hedge or a safe haven for their portfolios, under turbulence.     

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。     

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.