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.     

Asset pricing and institutional investors with disagreements

We develop a dynamic asset pricing model with two institutional investors who have benchmark incentives and who disagree about the underlying economy. We derive semi-closed form expressions for all equilibrium quantities. We find that the benchmark stock price increases and the non-benchmark stock price decreases with the benchmark incentives. Furthermore, each stock price decreases with its own disagreement and increases with the other stock disagreement. We also show that there is a positive relationship between the co-movement of the stocks and the benchmark incentives, but that this co-movement is negative with the disagreements, owing to the endogenous risk-sharing mechanisms. Moreover, we find that, when one stock disagreement increases, the optimistic institutional investor always takes positions on this stock by shorting the other stock and the bond in order to hedge against the risk of market changes, in line with the pessimistic investor's beliefs.     

Investor Overconfidence in Experimental Asset Markets across Market States

Abstract

This study explores how individual overconfidence adjusts after receiving extreme feedback that either supports or contradicts previous decision-making when buying or selling stocks. We find that highly contradicting feedback causes overconfidence to vanish as confidence declines sharply while supportive signals cause overconfidence to increase. Further evidence suggests that strong feedback impulses are associated with higher investor disagreement, supporting prior hypotheses that investors interpret such impulses differently. We also find that methodologies that measure overconfidence in prediction tasks systematically overstate confidence scores as respondents tend to fail to internalize stated confidence intervals appropriately.     

过度自信条件下授权投资组合管理模型分析

过度自信对投资策略及资产均衡价格将产生重要影响,通过构建过度自信条件下授权投资组合管理模型,分析了过度自信对机构投资者授权投资行为的影响。研究表明,投资组合均衡主要依赖于过度自信水平,当代理人理性或者适度过度自信时,可观察到投资交易数量是过度自信水平的减函数,若过度自信水平足够强且努力成本很小时最优投资组合交易数量则是过度自信的增函数。     

Stock market response to environmental policies: Evidence from heavily polluting firms in China

Pollution problems have recently become prominent in China, which has not only amplified public concerns on environmental protection but has also pushed the Chinese government to enforce more stringent environmental regulation. In this paper, we investigate the stock market response to the release of new environmental policies in China from the perspective of investor attention. By using the event study methodology, we assess the impact of 10 environmental policies issued by the central government over the period of 2014–2017. We find consistent evidence that the announcement of new environmental policies hurts the stock returns of heavily polluting firms in the short term. Meanwhile, compared to environmental regulations, environmental laws result in more adverse market reactions due to stricter policy enforcement. More importantly, investor attention to the environment issues, as measured by the Baidu Index, plays an essential role in predicting the stock market response, as we find a higher Baidu Index leads to lower stock returns for heavily polluting firms. Heterogeneity analyses further reveal the negative impact of environmental policies on market value is contingent on firm characteristics such as size, ownership structure, profitability and industry.     

Does investor sentiment dynamically impact stock returns from different investor horizons? Evidence from the US stock market using a multi-scale method

This article uses the investor sentiment index to investigate the Granger causality between investor sentiment and stock returns for the US economy using a multi-scale method. To focus on the local analysis of different investor horizons, bivariate empirical mode decomposition is used to decompose time series of investor sentiment and stock returns at different timescales. We employ the linear and nonlinear integrated Granger causality method to examine the causal relationship of decomposed series on similar timescales. The results indicate both strong bilateral linear and nonlinear causality between longer-term investor sentiment and stock returns. However, there is no strong evidence for correlation of stock returns and investor sentiment on shorter timescales.     

Noise traders and smart money: Evidence from online searches

Traditional finance theory considers that the impact of noise traders' attention on asset prices is offset by attention from smart investors. This paper uses online search data to study the influence of noise traders and smart investors on stock returns and volatility. Adopting an original approach, we construct a proxy for smart investor attention based on investors' online search behavior provided by Wikipedia Page Traffic. We combine this new measure with a standard measure of noise traders' attention as proxied by Google Search Volume Index. We show for a sample of 87 French firms over the period 2008–2018 that only noise traders' attention influences stock returns. Noise traders' attention increases volatility by creating an extra risk that is priced into the market. Conversely, smart investors' attention decreases volatility because their presence stabilizes stock prices by reducing uncertainty. Our empirical results support a behavioral explanation of stock prices.     

After‐tax Valuation of Convertible Bonds and Participation Exemption

This paper studies the after‐tax valuation of convertible bonds in the light of Europe's participation exemption (PEX) rules and International Financial Reporting Standards (IFRS). The focus is on Italy's representative case. PEX rules exempt from company taxation capital gains realized by companies selling stocks. PEX rules raise the value of convertibles as investor companies can strategically convert the bond into stock to enjoy PEX. Historical cost‐based national accounting standards imply taxation upon realization and valuable tax timing options (TTOs). ‘Fair value’ based IFRS entail mark‐to‐market taxation, which ‘kills’ TTOs, but investor companies can convert the bond early in order to enjoy PEX. Early conversion can be valuable.     

CEO过度自信、权力配置与股价崩盘风险*

基于沪深两市2006—2013年A股上市公司的面板数据,本文从行为金融视角出发考察了CEO过度自信心理特征及其权力配置对股价崩盘风险的影响。研究发现CEO过度自信会增大公司股价崩盘风险;并且,随着CEO权力增大,过度自信更容易导致公司股价崩盘现象发生。进一步将CEO权力细分为选择权和决断权之后发现,只有CEO决断权增大能显著加剧过度自信对股价崩盘风险的负面影响,且这一关系只有在选择权得到保证后成立。     

The decision to seek advice in the self-directed retirement fund industry

This article examines the influence of investor knowledge and the cognitive bias that arises from overconfidence on the advice-seeking behaviour of investors managing their own retirement funds. Specifically, we trace whether overestimating one’s own technical and financial abilities can hinder the willingness to seek advice, particularly when it would be in the investors’ best interest to do so. We identify a subset of investors who are not knowledgeable and yet do not seek advice. These investors exhibit overconfidence in their ability to manage a fund, despite holding under-diversified and less sophisticated portfolios relative to their peers. Given the global rise in investors choosing to manage their own retirement funds and the importance of seeking advice in this context, there are direct policy implications from these results. They suggest a need to identify and target investors who display overconfidence since they are most likely to be managing underperforming retirement investments in the longer term.     

Investor sentiment and the prediction of stock returns: a quantile regression approach

We employ quantile regression to provide a detailed picture of the stock return forecasting ability of investor sentiment. We find that investor sentiment predicts aggregate stock returns at lower quantiles. However, the forecasting power is lost at upper quantiles. The results are robust after controlling for a comprehensive set of macroeconomic and financial predictors and for characteristic portfolios. We also show that investor sentiment consists mainly of cash flow news and contains little information about discount rate news. The ability to forecast cash flows increases gradually from the lower quantiles to upper quantiles. Our results do not support that the ability of investor sentiment to predict stock returns comes from a rational forecast of future cash flows.     

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.     

A portfolio choice model with utility from anticipation of future consumption and stock market mean reversion

This paper studies a consumption and portfolio choice problem of a long-lived investor who derives pleasure not only from current consumption, but also from the contemplation of future consumption. The model assumes that all effects of future consumption on current well being are assumed to enter through a single variable—namely, the “stock of future consumption”—analogously to habit-formation models. The main implications of the model concern the incentives for savings, and the fundamental sources of risk in financial markets. It is shown that, when the stock market exhibits mean reversion, deriving utility from anticipation of future consumption has a tremendous effect on portfolio choice. In particular, mean allocation to stocks is much lower under the proposed preferences relative to the standard preferences, especially for high risk averse investors.     

Investor attention and stock market activity: Evidence from France

The aim of this paper is to study the influence of investor attention on the French stock market activity and volatility. Following an original way, we construct a non-standard proxy of investor attention on the basis of investors' online search behavior exclusively provided by “Google insights for search”. We find that Google search volume is a reliable proxy of investor attention. Interestingly, we show that investor attention is strongly correlated to trading volume and is a significant determinant of the stock market illiquidity and volatility. Most importantly, this evidence is maintained even after controlling for the financial crisis effect.     

Forecasting stock returns: Do less powerful predictors help?

This paper proposes a simple but efficient way to improve the predictability of stock returns. Instead of torturously constructing new powerful predictors, we readily select existing predictors that have low correlations and thus provide complementary information. Our forecasting strategy is to use the selected predictors based on a multivariate regression model. In our forecasting strategy, less powerful predictors are also useful for forecasting stock returns if they could provide complementary information. The empirical results show that our forecasting strategy outperforms not only the univariate regression models that use each predictor's information separately but also combination approaches that use all predictors jointly. We also document that our strategy extracts significantly more useful information from the complementary predictors than the competing models. In addition, from an asset allocation perspective, a mean-variance investor realizes substantial economic gains. Furthermore, the evidence based on Monte Carlo simulations supports the feasibility of our forecasting strategy.     

T+1 trading mechanism causes negative overnight return

The T+1 trading mechanism is unique in the Chinese stock market, thus providing a natural experimental field to study the trading mechanism and price behaviors. This paper proposes and proves that T+1 trading mechanism causes negative overnight return, the overnight return can serve as a proxy of the T+1 trading mechanism. The paper finds that the overnight return of the Chinese stock market is significantly negative, whereas those under the T+0 trading mechanism, such as China’s stock index futures, Hong Kong stocks, and major international indices, all have around 0 or positive overnight returns. T+1 trading mechanism has greater impacts on stocks with more divergent investor opinions, higher risk, more individual investor percentages, higher arbitrage restrictions, and less liquidity. The T+1 trading mechanism distorts the price generation mechanism of stocks. The paper contributes to the understanding of impact of trading mechanism on stock prices.     

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.     

Cross-sectional and time-series momentum returns and market dynamics: evidence from Japan

We test the behavioural theories of overconfidence and underreaction on cross-sectional (CS) and time-series (TS) momentum returns in the Japanese stock markets. Both CS and TS momentum returns are large and significant when the market continues in the same state and turns into losses when the market transitions to another state, consistent with the overconfidence but not the underreaction model. We find that TS conditional momentum returns exceed conditional CS momentum returns because of its active position since TS takes a net long (short) position following UP (DN) markets while CS is a zero-cost strategy irrespective of the market state. Finally, we find no relation between idiosyncratic volatility (IV) and momentum returns which is not supportive of either the overconfidence or underreaction model but implies that IV is not a significant limit to arbitrage in Japan.     

Reforming corporate law in an emerging market

A sweeping and protracted reform of corporate law took place in Finland in the 1970s. We document how the reform brought significant improvements to investor protection and tightened disclosure rules at the cost of increasing the workload in corporate reporting. To study the economic consequences of the reform we develop a simple coordination game where the effects of investor protection on corporate valuation vary with equilibria. Then, using firm‐level daily stock return data, we find that the Finnish stock market generally reacts negatively to news of increased investor protection and workload, whereas news of delays in implementation of reform generate largely positive market responses. These results raise the question of whether stronger investor protection and greater transparency unambiguously promote development of stock markets.     

The Impact of U.S. Individual and Institutional Investor Sentiment on Foreign Stock Markets

This study examines the degree to which U.S. individual and institutional investor sentiments are propagated abroad. Previous studies construe investor sentiments as fully irrational; we find contrary evidence that individual and institutional investor sentiments are driven by both rational and irrational factors, with distinct effects on domestic and international stock market returns. The generalized impulse response functions from VAR model estimations show that U.S. institutional investor sentiments have varying degrees of impact on the equity markets of the U.K., Mexico, and Brazil, and no effect on Chile. Specifically, the individual investor sentiment effect is statistically significant only for the U.K market. Not surprisingly, the two classes of investor sentiments have a strong significant effect on the U.S. stock market returns. The response of the U.S. to individual investor sentiments is relatively more erratic, while the response to institutional investor sentiments is smoother. This difference in pattern becomes more visible when we consider the response of the foreign stock markets. We find significant effects of rational sentiments of institutional investors on the U.S., the U.K., Mexico, and Brazil. However, there is an insignificant effect of the irrational sentiments on the same set of countries. A direct implication of our empirical evidence is that it is important for international asset pricing models to consider the role of rational sentiments of institutional and individual investors on developed and emerging markets.