Investor Sentiment Influence on the Risk-Reward Relation in the Taiwan Stock Market

We examine the influence of investor sentiment on the risk-reward relationship in the Taiwan stock market. Regression results show that the risk-reward relationship is weakly positive (significantly negative) under low (high) levels of investor sentiment. Granger causality tests indicate unidirectional, not bidirectional, causal relationships. Moreover, the negative return-variance relationship is more strongly characteristic of the over-the-counter index than of the Taiwan Stock Exchange weighted index, indicating that an unreasonable risk-reward trade-off may be more prevalent in emerging markets than in mature markets. Finally, the Wald test demonstrates that industry effects on the risk-reward relationship may be negligible.     

Futures Market Sentiment and Institutional Investor Behavior in the Spot Market: The Emerging Market in Taiwan

This paper investigates whether and how futures market sentiment and stock market returns heterogeneously affect the trading activities of institutional investors in the spot market in Taiwan. Our empirical results suggest that foreign investors are net sellers whenever futures market sentiment is bullish and net buyers when investor sentiment is bearish. The two types of domestic institutional investors have poor sentiment timing abilities and the price-pressure effect may account for the behavioral differences among institutional investors. In addition, all three institutional investors are momentum traders. Nevertheless, the momentum trading of foreigners is consistent with an information-based model and that of two local institutional investors, as behavior-based models suggest. This indicates that the same trading momentum strategy can lead to different outcomes for different investors, and both information- and behavior-based momentum trading can exist contemporaneously in the Taiwanese stock market.     

融资融券视阈下的投资者情绪与A股收益率波动研究

本文以融资融券市场作为研究目标分析投资者的获利倾向、心理状态、行为决策等因素所反映出的投资者情绪特征对A股收益率波动的影响。采用CR I T I C赋权法,通过计算融资融券中融资余额、融券余额、融资融券交易占比以及融资买入量等多个数据指标构建融资融券投资者情绪指数CRISI。结合A股市场日交易数据,分析研究了融资融券市场中投资者情绪指数和股市收益率波动的相互作用。本文实证结果表明,融资融券投资者情绪指数对A股市场收益率存在正向作用,而A股市场收益率对投资者情绪的影响并不显著。此外,A股市场中股价的“异常涨跌”亦对投资者情绪影响不明显。实证结果反映出我国融资融券市场中投资者情绪与A股市场收益率之间存在一种单向的影响关系,为我国股票市场投资者情绪调查机制与监控系统的建立和完善提供了依据。     

Positive Feedback Trading and Investor Sentiment

This article examines how investor sentiment affects positive feedback trading behavior. By analyzing the daily closing total return of CSI 300 index and its individual returns of stocks, we find that relatively high or low sentiment induces active positive feedback trading. With a specific indicator of sentiment, we explain the microstructure setting of the relationship between positive feedback trading and sentiment. We adopt the classical feedback model from Sentana and Wadhwani (1992) to measure positive feedback trading behavior. By adding sentiment factor to the model, we successfully explain how sentiment influences the behavior of both feedback traders and rational investors. The empirical findings suggest that positive feedback traders are more likely to trade when the prices of most securities move forward together. When the sentiment of feedback traders is at an intermediate level, the feedback trading behavior is insignificant.     

Investor Trading Behavior and Sentiment in Futures Markets

This study investigates the effects of investor trading behavior and investor sentiment on futures market return. We find that the spot investor trading behavior, futures investor trading behavior, spot market sentiment, and futures market sentiment all have positive effects on daily futures returns in Chinese financial market. More importantly, we show that the effect of (spot) futures investor trading behavior has better explanatory power than (spot) futures market sentiment on futures returns. Further supporting our results, high investor trading behavior and high investor sentiment strengthen the positive relation between sentiment-returns and behavior-returns.     

Investor Sentiment and Stock Returns: Evidence from Turkey

This paper investigates the relation between investor sentiment and stock returns on the Istanbul Stock Exchange, employing vector autoregressive (VAR) analysis and Granger causality tests. The sample period extends from July 1997 to June 2005. In the VAR models, stock portfolio returns and investor sentiment proxies are used as endogenous variables. Two dummy variables accounting for natural and economic crises are used as exogenous variables. The analysis results suggest that, excepting shares of equity issues in aggregate issues, stock portfolio returns seem to affect all investor sentiment proxies, namely closed-end fund discount, mutual fund flows, odd-lot sales-to-purchases ratio, and repo holdings of mutual funds. Investor sentiment does not appear to forecast future stock returns; only the turnover ratio of the stock market seems to have forecasting potential.     

投资者情绪与中国股票市场过度波动

本文分析中国投资者分类情绪及信心变化与中国股票市场波动的同期及动态影响。实证结果表明:就同期而言,中国投资者对国内经济基本面的信心变化以及中国股票市场波动,将影响投资者对国际经济金融环境的信心;就中长期而言,中国投资者情绪中关于国内经济基本面和国内经济政策的信心变化是影响中国股票市场过度波动的重要原因;中国投资者关于国际经济金融环境的信心深受国内经济基本面的信心变化的影响,中国投资者对A股市场估值的判断,受投资者对A股市场的股票估值信心以及国内经济基本面信心变化影响较大。     

个人投资者情绪对企业履行社会责任的影响

基于利益相关者理论,运用多元回归模型,依据2010-2018年度企业社会责任相关数据,将中国A股非金融类上市公司分为重污染企业和非重污染企业,考量个人投资者情绪对企业社会责任的影响.结果显示:个人投资者情绪越积极,企业社会责任履行状况越好;个人投资者情绪治理的效果会受污染异质性影响,相对于非重污染企业而言,个人投资者情绪对于重污染企业社会责任履行的影响更显著.鉴于此,应建立投资者情绪监测机制、鼓励社会责任投资等.     

How Much Does Investor Sentiment Really Matter for Equity Issuance Activity?

We study the extent to which investor sentiment matters for aggregate equity issuance activity. We focus on firms that are susceptible to investor sentiment and for which accurate measures of economic fundamentals are available. While sentiment on its own matters for equity issuance, it matters relatively little once we control for accurately measured fundamentals. Collectively, proxies for sentiment explain roughly 10 percentage points of the time-series variation of equity issuance beyond the roughly 40% explained by fundamentals. We conclude that investor sentiment does not seem to matter very much for aggregate equity issuance activity.     

投资者情绪、期权隐含信息与股市波动率预测——基于上证50ETF期权的经验研究

在异质自回归模型(HAR-RV)中引入中国上证50ETF期权隐含信息和投资者情绪,本文分别对中国股票市场未来日、周和月波动率进行预测。研究发现,期权隐含信息和投资者情绪能够提高HAR-RV模型对股票市场未来波动率的预测效果。投资者情绪对未来波动率的影响存在两种机制:在情绪高涨期间,月已实现波动率与未来波动率正相关,说明以个人投资者占主体所引起的价格信息机制,在中国股票市场交易中占主导作用;风险中性偏度与未来波动率负相关,说明以个人投资者占主体所引起的噪声交易机制占主导作用。     

基于股市投资者情绪的非理性投机泡沫模型研究

针对股市非理性投机泡沫研究的不足,通过引入投资者情绪构建基于噪声交易者模型的非理性投机泡沫模型,以此研究噪声交易者的认知偏差,其在投资过程中所带有的情绪及其对风险资产历史基础价值冲击的过度反应对股市投机泡沫的影响。结果表明：市场中带情绪的噪声交易者数量越多,股价中的非理性投机泡沫成分越大,其波动程度也越剧烈。     

Bid-Ask Spreads,Information Asymmetry,and Abnormal Investor Sentiment: Evidence from Closed-End Funds

Using a sample of closed-end equity funds listed on the NYSE from 1994 to 1999, we investigate differences in spreads and adverse selection costs between the closed-end funds and a matched sample of common stocks. We find that spreads and adverse selection costs for the closed-end funds are significantly lower than those of control stocks. The results are consistent for the subperiods both before and after the minimum tick size change on NYSE on June 24, 1997. The differences of spreads and adverse selection costs cannot be attributed to the differences in the characteristics of the closed-end funds and the matched sample of common stocks. Lastly, we find that abnormal investor sentiment and adverse selection costs of closed-end funds are positively correlated over time.     

Investor Attention and Stock Returns: International Evidence

This article examines the asymmetric/discriminative effects of investor attention on expected stock returns among 15 markets through economic expansions and recessions. The predictive power of attention tends to be short-lived and weakens the autocorrelation within returns. Accounting for business cycles not only confirms that the predictability of attention endures with volatility but also explicates the asymmetric effects that underlying pessimism functions better. International evidence contributes to the literature on investor attention and reveals the discrepant effects of attention with three levels of market efficiency: semi-strong, stronger than semi-strong, and weak.     

The Effect of Investor Sentiment on Feedback Trading and Trading Frequency: Evidence from Taiwan Intraday Data

Abstract

Although extensive literature has suggested that investor sentiment may be one of the most important factors in explaining investor trading frequency and trading strategies, how individual investors are significantly influenced by sentiment remains underexplored. The feature of numerous individual investors in the Taiwan stock market provides an avenue to examine the relationship of investor sentiment to trading frequency and positive-feedback trading according to intraday data. Using a vector autoregression model to measure feedback trading in one-minute intervals, we find that trading frequency appears to increase in periods of rising market, suggesting that investor sentiment–driven trading increases market trading frequency without relying on past experiences to conduct trading behavior.     

What Can “Nine‐Eleven” Tell Us about Closed‐end Fund Discounts and Investor Sentiment?

We use the horrific events of September 11, 2001 (“nine‐eleven”) as a natural test of the hypothesis that closed‐end mutual fund discounts from fund net asset values reflect small investor sentiment. Because nine‐eleven was a sudden, unforeseen, and significantly negative and exogenous shock to the world, the capital markets, and investor sentiment, our test avoids many of the problems of extant studies. Discounts worsened dramatically following the event, and then recovered alongside the broader market. This finding is consistent with the hypothesis that discounts reflect the sentiment of small investors, who took their cues from the broader market's overall movement.     

Options Trading Based on the Forecasting of Volatility Direction with the Incorporation of Investor Sentiment

Using options price data on the Taiwanese stock market, we propose an options trading strategy based on the forecasting of volatility direction. The forecasting models are constructed with the incorporation of absolute returns, heterogeneous autoregressive-realized volatility (HAR-RV), and proxy of investor sentiment. After we take into consideration the margin-based transaction costs, the results of our simulated trading indicate that a straddle trading strategy that considers the forecasting of volatility direction with the incorporation of market turnover achieves the best Sharpe ratios. Our trading algorithm bridges the gap between options trading, market volatility, and the information content of investor overreaction.     

Investor Sentiment,Trading Behavior and Informational Efficiency in Index Futures Markets

This paper shows that traders in index futures markets are positive feedback traders—they buy when prices increase and sell when prices decline. Positive feedback trading appears to be more active in periods of high investor sentiment. This finding is consistent with the notion that feedback trading is driven by expectations of noise traders. Consistent with the noise trading hypothesis, order flow in index futures markets is less informative when investors are optimistic. Transitory volatility measured at high frequencies also appears to decline in periods of bullish sentiment, suggesting that sentiment‐driven trading increases market liquidity.     

Investor sentiment and return predictability of disagreement

This study examines the influence of investor sentiment on the relationship between disagreement among investors and future stock market returns. We find that the relationship between disagreement and future stock market returns time-varies with the degree of investor sentiment. Higher disagreement among investors’ opinions predicts significantly lower future stock market returns during high-sentiment periods, but it has no significant effect on future stock market returns during low-sentiment periods. Our findings imply that investor sentiment is related to several causes of short-sale impediments suggested in the previous literature on investor sentiment, and that the stock return predictability of disagreement is driven by investor sentiment. We demonstrate that investor sentiment has a significant impact on the stock market return predictability of disagreement through in-sample and out-of-sample analyses. In addition, the profitability of our suggested trading strategy exploiting disagreement and investor sentiment level confirms the economic significance of incorporating investor sentiment into the relationship between disagreement among investors and future stock market returns.     

Investor Response to Cash Flow Information

In this study the usefulness of cash flow data as required by the UK standard, FRS1 , is evaluated and cash flow per share is investigated as a possible specification of cash flow data that may contain information value for security markets. Recent innovation in earnings response models are used to test the robustness of the results and provide further insights into the time series properties of cash flow numbers. The findings indicate that the disaggregation of cash flow as required under FRS1 contains information beyond aggregate cash flow but that the required disaggregation is not optimal from an information standpoint. There is little evidence of any incremental information value of cash flow per share over cash flow numbers.