Who is the more overconfident trader? Individual vs. institutional investors

Guided by the Gervais and Odean (2001) overconfident trading hypothesis, we comprehensively investigate the trading behavior of individual vs. institutional investors in Taiwan in an attempt to identify who is the more overconfident trader. Conditional on the various states of the market, on market volatility, and on the risk level of the securities they trade, we find that both individual and institutional investors trade more aggressively following market gains in bull markets, in up-market states, in up-momentum market states, and in low-volatility market states and that only individual investors trade more in riskier securities following market gains. More importantly, we find that individual investors trade more aggressively following market gains in the three conditional states of the market and in high-volatility market states than institutional investors. Also, individual investors trade more in relatively riskier securities following gains than institutional investors. These findings provide evidence that individual investors are more overconfident traders than institutional investors.     

信息不对称、过度自信与股价变动

信息传导的非同步和投资者情绪变化是股票市场的两个典型特征,前者会引发投资者之间出现信息不对称问题,后者主要体现为投资者过度自信,两者共同作用影响股票价格变动。本文将信息不对称和投资者过度自信情绪置于同一个分析框架,建立两阶段动态序贯定价理论模型研究现实市场上信息传导过程中股价变动的内在机制。结果表明:(1)面临新信息的进入,投资者对股票收益预期的调整与均衡价格之间具有正相关关系;(2)面临有利消息时,过度自信投资者比例越大,股票的均衡价格越高,投资收益将越低;面临不利消息时则相反;(3)随着过度自信投资者比例以及过度自信程度升高,市场风险溢价将下降;(4)投资者群体在信息传导过程中出现分化,对股价变动形成异质信念,未获取信息和获取信息但未出现过度自信的投资者认为股价被高估,获取信息且出现过度自信的投资者认为价格被低估,促使更多的交易,引发市场成交量和股价变动;(5)过度自信投资者比例与过度自信程度提高均会对市场效率产生正向影响,而对市场深度具有负向效应。最后,基于理论结果对非对称性和持续性等典型的市场波动性特征进行解释。     

Overconfidence and trading volume

Theoretical models predict that overconfident investors will trade more than rational investors. We directly test this hypothesis by correlating individual overconfidence scores with several measures of trading volume of individual investors. Approximately 3,000 online broker investors were asked to answer an internet questionnaire which was designed to measure various facets of overconfidence (miscalibration, volatility estimates, better than average effect). The measures of trading volume were calculated by the trades of 215 individual investors who answered the questionnaire. We find that investors who think that they are above average in terms of investment skills or past performance (but who did not have above average performance in the past) trade more. Measures of miscalibration are, contrary to theory, unrelated to measures of trading volume. This result is striking as theoretical models that incorporate overconfident investors mainly motivate this assumption by the calibration literature and model overconfidence as underestimation of the variance of signals. In connection with other recent findings, we conclude that the usual way of motivating and modeling overconfidence which is mainly based on the calibration literature has to be treated with caution. Moreover, our way of empirically evaluating behavioral finance models—the correlation of economic and psychological variables and the combination of psychometric measures of judgment biases (such as overconfidence scores) and field data—seems to be a promising way to better understand which psychological phenomena actually drive economic behavior.

Does good luck make people overconfident? Evidence from a natural experiment in the stock market

This paper examines the changes in investors' trading behavior after winning an IPO allotment in China—a purely luck-driven event. We find that these investors subsequently become overconfident: They trade more frequently and lose more money relative to other investors. This effect is stronger when investors are inexperienced and when investors' pre-existing level of overconfidence is low. We also show that investors exhibit a stronger gambling propensity and hold more lottery-like stock after winning an IPO allotment. Our findings are not explained by wealth effects or house money effects. Overall, our evidence indicates that the experience of good luck makes people overconfident about their prospects.     

Sensation Seeking, Overconfidence, and Trading Activity

This study analyzes the role that two psychological attributes—sensation seeking and overconfidence—play in the tendency of investors to trade stocks. Equity trading data from Finland are combined with data from investor tax filings, driving records, and mandatory psychological profiles. We use these data, obtained from a large population, to construct measures of overconfidence and sensation seeking tendencies. Controlling for a host of variables, including wealth, income, age, number of stocks owned, marital status, and occupation, we find that overconfident investors and those investors most prone to sensation seeking trade more frequently.     

Confidence and Investors' Reliance on Disciplined Trading Strategies

Researchers and practitioners in accounting and finance often investigate or advocate particular disciplined trading strategies, but little work investigates the determinants of individual investors' trading‐strategy reliance. We report two experiments, which provide evidence that the dual‐source model of overconfidence (Sniezek and Buckley [1991]) predicts the circumstances in which investors are more likely to rely on disciplined trading strategies. Our results indicate that reliance is more likely when investors trade portfolios of securities rather than trading on a case‐by‐case basis, particularly when investors have received feedback that their previous (unaided) trading decisions have been unprofitable. These results are driven by the number of shares that investors transact rather than by investors' directional agreement with the recommendations of the trading strategy, suggesting that the effects of a portfolio approach and trading experience occur by mitigating investors' overconfidence. The effects violate an aspect of economic rationality because our experiments ensure that investors in all conditions trade the same set of securities based on the same set of information.     

Effect of emotion regulation as a de-biasing mechanism on overconfidence in investment behavior

Overconfidence is a bias closely associated with strong positive emotions such as pride. Strong positive emotions can hamper effective decision-making. This paper is predicated on the hypothesis that if investors with a pronounced tendency toward overconfidence can regulate strong positive emotions, they will be able to reduce bias and avoid subpar investment performance. We investigated the relationships among overconfidence, positive emotional reactions, and strategies for regulating emotions after a gain in the stock investment area, where investors succumb to overconfidence and important financial decisions are made. Identifying the differences in cognitive processes and emotion regulation strategies, which more or less overconfident investors exhibit, will in turn provide a de-bias mechanism to reduce overconfidence. The findings of this research will help investors avoid overconfidence by using strategies for emotional regulation reported in this study in order to achieve decision excellence.     

How biased is the behavior of the individual investor in warrants?

Based on the actual trading behavior of individual investors in the Portuguese financial market during almost ten years this paper examines the socio-demographic characteristics of retail investors in warrants, and discusses the hypothesis that some behavioral biases do have an impact on the investors’ predisposition to invest and trade in warrants, a complex financial instrument. One finds that there is a profile of investors in warrants: younger and less educated men are more likely to invest in warrants and that overconfident, disposition-prone and investors exhibiting a gambling attitude are more likely to invest and trade in warrants. Secondly, the gambling motive seems to be a distinguishing characteristic of investors in warrants. In other words, when investors are driven to trade in financial markets for pleasure/fun they tend to trade complex products more and to trade simple and easier to understand financial instruments less. Finally, the higher the intensity of trading the more relevant are the disposition and the gambler’s biases.     

Overconfidence and emotion regulation failure: How overconfidence leads to the disposition effect in consumer investment behaviour

Investment decisions and outcomes often entail a myriad of emotions. In this article, the authors examine overconfidence and its effect on investment behaviour. The authors show that overconfident investors tend to trade in greater volumes and exhibit stronger disposition effect. Previous research has shown disposition effect to be an outcome of loss aversion and lack of self-control, and this article shows that the disposition effect is also caused by emotions such as ‘pride’ and ‘shame’, which shows up to a greater degree in overconfident people. Overconfident consumers are prone to realize gains early, in order to feel pride and hold on to losing stocks because admitting losses creates shame. It is also shown that overconfident investors trade in greater volumes and have greater ‘illusion of control’.     

Overconfidence among option traders

The investor overconfidence theory predicts a direct relationship between market‐wide turnover and lagged market return. However, previous research has examined this prediction in the equity market, we focus on trading in the options market. Controlling for stock market cross‐sectional volatility, stock idiosyncratic risk, and option market volatility, we find that option trading turnover is positively related to past stock market return. In addition, call option turnover and call to put ratio are also positively associated with the past stock market return. These findings are consistent with the overconfidence theory. We also find that overconfident investors trade more in the options market than in the equity market. We rule out explanations other than investor overconfidence, such as momentum trading and varying risk preferences, for our findings.     

Endogenous overconfidence in managerial forecasts

We examine whether attribution bias leads managers who have experienced short-term forecasting success to become overconfident in their ability to forecast future earnings. Importantly, this form of overconfidence is endogenous and dynamic. We also examine the effect of this cognitive bias on the managerial credibility. Consistent with the existence of dynamic overconfidence, managers who have predicted earnings accurately in the previous four quarters are less accurate in their subsequent earnings predictions. These managers also display greater divergence from the analyst consensus and are more precise. Lastly, investors and analysts react less strongly to forecasts issued by overconfident managers.     

Intraday volume and volatility relations with and without public news

This paper reexamines the dynamic relation between intraday trading volume and return volatility of large and small NYSE stocks in two partitioned samples, with and without identifiable public news. We argue that the sequential information arrival hypothesis (SIAH) can be tested only in periods containing public news. After partitioning the sample into periods with and without public news, we find bi-directional Granger-causality between volume and volatility in the presence of public information as hypothesized by the SIAH. Our analysis further suggests that return volatility is higher in the periods with public news, while trading volume is significantly higher in the no-news period; perhaps owing to the importance of private information for trading stocks. Using the sample without public news, we find evidence that volume Granger-causes volatility without feedback. These results are broadly consistent with behavioral models like the overconfidence and biased self-attribution model of [Daniel, K., Hirshleifer, D., Subrahmanyam, A., 1998. Investor psychology and security market under- and over-reactions. Journal of Finance 53, 1839–1885]. It appears that overconfident investors overrate the precision of their private news signals and therefore trade too aggressively in the absence of public news; when public news arrives, investors’ biased self-attribution triggers excessive return volatility.     

Does Trading Improve Individual Investor Performance?

From 52,649 accounts and 10,615,117 transaction records obtained from a renowned brokerage house in Taiwan we find that individual investors purchase 73.4% and sell 64.5% of their stock portfolios each month. This is more than ten times the statistics for their U.S. counterparts. In general, individual investors have positive abnormal returns from factor-based models. However, they would have earned higher returns from following a buy-and-hold strategy. We find a U-shaped rather than a monotonic turnover and performance relation. The results do not support the overconfidence argument proposed by Barber and Odean (2000, 2001) nor does the rational model of Grossman and Stiglitz (1980). We find that investors with large portfolio values tend to be informed traders whose excess trading does create performance value. We also investigate whether men are more overconfident than women and find that even though men trade more excessively than women, men's performance measures are not dramatically lower than women's. Specifically, the own-benchmark adjusted gross return for men is higher than that for women. The regression results indicate that electronic traders rather than men are overconfident.     

机构投资者与个人投资者过度自信行为比较研究

本文首先基于我国A股市场机构股票持有数据,构建了不同的投资组合来区分机构投资者与个人投资者的投资行为。然后运用Granger因果检验与SUR估计,探讨了我国证券市场机构投资者与个人投资者是否具有过度自信行为,结果表明无论是机构投资者还是个人投资者在不同市场状态下都存在交易过多的过度自信认知偏差。并且我国证券市场上个人投资者与机构投资者的过度自信程度在不同的市场状态下并无明显差异。最后提出了相关政策建议。     

The cost of overconfidence in public information

We investigate the effects of investor overconfidence in public information on cross-sectional asset returns. The results show that investors in the US equity market are overconfident about public signals for mature firms that are relatively easy to price—old, large, and dividend-paying firms, value firms, and firms with a higher proportion of tangible assets, little external financing, and low sales growth. However, the effects of the overconfidence on cross-sectional stock returns are reversed quickly and comprise more than half of the short-term return reversals. The risk-adjusted cost of being overconfident about the noisy public signals, measured by return reversals of hedge portfolios formed on unexpected responses, is over 1.1% per month in the first month after portfolio formation, and is still significant despite the active arbitrage trading in the 2000s.     

Overconfidence and tax avoidance: The role of CEO and CFO interaction

We investigate how overconfident CEOs and CFOs may interact to influence firms’ tax avoidance. We adopt an equity measure to capture overconfident CEOs and CFOs and utilize multiple measures to identify companies’ tax-avoidance activities. We document that CFOs, as CEOs’ business partners, play an important role in facilitating and executing overconfident CEOs’ decisions in regard to tax avoidance. Specifically, we find that companies are more likely to engage in tax-avoidance activities when they have both overconfident CEOs and overconfident CFOs, compared with companies that have other combinations of CEO/CFO overconfidence (e.g., an overconfident CEO with a non-overconfident CFO), which is consistent with the False Consensus Effect Theory. Our study helps investors, regulators, and policymakers understand companies’ decision-making processes with regard to tax avoidance.     

信息透明度与散户的交易选择——基于深圳交易所上市公司的实证研究

股市的风险往往归因于散户的交易,大力发展机构投资者成为提高市场效率的不可挑战的信条。透过微结构数据的分析,本文发现散户交易存在过度自信特征,可能过度高估私有信息精确度,导致错误定价信息。分离了过度自信的因素后,本文发现信息透明度为散户交易的重要依据。更为重要的是本文发现,相对于散户而言,信息透明度对机构投资者交易的影响较低,说明了信息透明度对处于信息劣势的投资者具有更重要的现实意义。     

Neglected risks,financial innovation,and financial fragility

We present a standard model of financial innovation, in which intermediaries engineer securities with cash flows that investors seek, but modify two assumptions. First, investors (and possibly intermediaries) neglect certain unlikely risks. Second, investors demand securities with safe cash flows. Financial intermediaries cater to these preferences and beliefs by engineering securities perceived to be safe but exposed to neglected risks. Because the risks are neglected, security issuance is excessive. As investors eventually recognize these risks, they fly back to the safety of traditional securities and markets become fragile, even without leverage, precisely because the volume of new claims is excessive.     

What factors affect behavioral biases? Evidence from Turkish individual stock investors

This paper investigates behavioral biases among Turkish individual stock investors during 2011. Using transaction data, we analyze how common disposition effect, familiarity bias, representativeness heuristic, and status quo bias are, what factors affect these biases and how these biases relate to each other including overconfidence and return performance. We find that biases are common among investors. Male, younger investors, investors with lower portfolio value, and investors in low income, low education regions exhibit more familiarity bias. Female, older investors and investors with high portfolio values are more subject to disposition effect and representativeness heuristic. Individuals in the opposite edge of overconfidence are subject to status quo bias. Overconfidence is positively correlated with familiarity bias. Representativeness heuristic deteriorates wealth while status quo bias results in higher trade performance. Familiarity bias has a nonmonotonic effect on return; lower (higher) levels of familiarity bias have a negative (positive) effect on return. To the best of our knowledge, this is one of the few studies that focus on nationwide data and analyze the biases simultaneously. Using a unique dataset, we extend the findings of the behavioral finance literature to emerging markets. Besides, analysis of multiple biases helps us better understand the relationship among biases.     

Barriers to international investing and market segmentation: Evidence from Indian GDR market

In this paper we evaluate market segmentation and its effect on the pricing of cross-listed securities using Indian Global Depositary Receipts (GDRs). When international capital markets are segmented, cross-listed securities may trade at different prices. We test this market segmentation hypothesis using a theoretical and empirical model developed along the lines of Hietala [Hietala, P.T., 1989, Asset pricing in partially segmented markets: Evidence from the Finnish market, Journal of Finance 44, 697–718]) and Foerster and Karolyi [Foerster, S.R., Karolyi, A.G., 1999, The effects of market segmentation and investor recognition on asset prices: Evidence from foreign stocks listing in the United States, Journal of Finance 54, 981–1013; Foerster, S.R., Karolyi, A.G., 1999, The long-run performance of global equity offerings, Working Paper, Ohio State University]. Our model looks at a specific type of market segmentation in India, where capital flow barriers are such that domestic investors are allowed to invest only in domestic securities, while the foreign investors can invest in dollar-denominated Indian GDRs as well as other foreign securities. Tests on these GDRs indicate that foreign investors, who hold these depositary receipts, estimate the expected returns at a lower level than the domestic investors do. This leads to the GDRs being priced at a premium over the exchange rate adjusted prices of the underlying Indian securities. GDR index returns are affected by both domestic and international factors, while the underlying Indian securities are affected only by domestic variables.