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In this paper, we analyze the effect of investor attention level on expected return in the Korean stock market by investor type. We find that the risk-adjusted excess returns in the next period are significantly higher when the institutional and foreign investor’s attention is high. In other words, investment strategies that buy stocks in higher attention groups and sell those in lower attention groups provide significant excess returns. This result is in contrast to the argument that the market operates more competitively and moves more efficiently as the number of investors increases due to the increased investor attention. Next, we examine how the degree of attention of institutional, individual, and foreign investors affects each other. The analysis reveals that the attention of individual investors affects the attention of institutional investors in the next period, and vice versa. In addition, as a result of group analysis according to the size of company and stock price, we find that the investor's attention affects the market differently depending on the type of investors and stock price level.

This paper aims to examine the direct and indirect effects of advertising on investor behavior.

The authors use a novel and direct measure of investor attention: the number of investors whose watch lists has the stock.

The authors find that beyond its direct effect through information dissemination, advertising has an indirect effect with regard to grabbing investor attention and the trading response. The authors further find that an increase in attention induces a positive influence on the impact of advertising on investor behavior.

First, it complements studies of home bias, in which investors are more likely to buy familiar stocks. Second, it also complements the literature on advertising and investor attention and on attention and capital markets. Third, with a new and unambiguous measure of investor attention. Fourth, combining the direct and indirect aspects, this study presents a detailed description of the financial market effect of advertising.

The purpose of this paper is to empirically examine whether investor attention is a significant risk pricing factor.

Using investor attention data from Eastmoney.com, which provides for each stock the number of investors whose watch list includes that stock on a daily basis, this paper constructs a “heat” factor based on the change in investor attention and a “market exposure” factor based on the proportion of attention on a given stock over the attention to all stocks. Using the Fama−MacBeth two-step regression and a rolling analysis, this study examines the ability of the investor attention factor to explain market returns.

The empirical results show that there exists a risk premium for the “heat” factor and “market exposure” factor that is significantly different from zero. This finding shows that investor attention can systematically influence stock returns, making it a significant risk pricing factor.

This paper’s research on the risk pricing factors of investor attention can help investors to rationally build investment portfolios, avoid risks and form a sound investment concept, which will further reveal the information recognition mechanism of the capital market and standardize the information disclosure behavior of listed companies.

This paper provides evidence that investor attention is a risk pricing factor for the stock market. There are “heat” factors and “market exposure” factors in the Chinese stock market that significantly affect the purchasing behavior of individual investors.

This study disentangles the investor-base effect and the information effect of investor attention. The former leads to a larger investor base and higher stock returns, while the latter facilitates the dissemination of information among investors and impacts informational trading.

Using positive volume shocks as a proxy for increased investor attention, this study evaluates the impacts of the investor-base effect and the information effect of investor attention on market correction following extreme daily returns in the US stock market from 1966 to 2018.

This study finds that the investor-base effect increases subsequent returns of both daily winner and daily loser stocks. The information effect leads to economically less significant return reversals for both the daily winner and daily loser stocks. These two effects tend to have economically more significant impacts on the daily loser stocks. The economic significance of these two effects is also related to firm size and the state of the stock market.

This study is the first to disentangle the investor-base effect and the information effect of increased investor attention. The evidence that the information effect facilitates the dissemination of new information and impacts stock returns contributes to the strand of studies on the impact of investor attention on market efficiency. This evidence also contributes to the strand of studies analyzing the impact of informational trading on stock returns. In addition, this study provides evidence for market overreaction and the subsequent correction. The results for up and down markets contribute to the literature on the investors' trading behavior.

We investigate whether limited investor attention is a factor in the effectiveness of institutional shareholder activism. Prior research has shown that an inability of market participants to allocate sufficient intellectual effort to the investment decision can have an impact on market price and volume behavior. We extend this research in an applied setting by considering the effectiveness of the California Public Employees’ Retirement System (CalPERS) focus list, whose aim is to improve the performance and corporate governance of target firms. We find that the share price and volume response to being included in the focus list is a function of the investor attention in a stock, which in turn has an impact on the subsequent managerial response. This suggests that when attention is a scarce cognitive resource, the proactive exploitation of news signals can be an efficient activism strategy.

The purpose of this paper is to bridge the gap between the theory underlying divergence of opinion (DOP) and a cognitive concept termed as attention by specifically focussing on the volume and price behaviour in initial public offering (IPO) settings.

Employing the hierarchical regression for a sample of 282 Malaysian fixed price IPOs issued from 2004 to 2014, this research investigated the effect of investors’ attention on other information that complements the information revealed by initial return on DOP. Measure of market adjusted turnover (AbTO) from non-IPO setting was used to capture the DOP in the after-market, while investors’ attention was on a dichotomise scale variable which was captured by the increase/decrease of the Google search index (GOGC2) on the month of listing compared to a month prior to listing.

The findings indicate that attention moderates the relationship between initial return (also surrogates underpriced IPOs) and DOP. The findings suggest that disagreement to initial returns is reduced, while liquidity in the after-market is promoted, when investors pay more attention to other information that complements price change. The findings also indicate that behavioural tendency is less when individual participation is weak.

This paper highlights the importance of interaction effects in explaining the behavioural tendency in the after-market.

The weak individual investors’ participation and greater attention reduce the market inefficiency in Malaysia.

The finding is consistent with the view that the level of individual investors’ participation and information disclosure requirements has an implication on behavioural bias, which affects DOP in the after-market.

Based on the theory of limited attention, the purpose of this paper is to investigate whether the investor behavior is influenced by attention, using the sample from earning announcement in China.

Empirical research using the earning announcement data in China. Specifically, the authors use the sample from 2005 to 2010 in listed A-share firms with earning announcements in Shanghai and Shenzhen stock market. Panel data regressions are used with Newey and West (1987) to correct for the potential heteroskedasticity and autocorrelation. The empirical results strongly support the hypothesis that limited attention impact investor behavior in China.

The authors find that the immediate price and volume reaction to earning surprise is much weaker and post-announcement drift is much stronger when a greater number of firms make earning announcements on the same day. The authors explain these findings mainly from behavioral bias. When investors process multiple information signals immediately or perform multiple objects simultaneously, their attention will be allocated selectively due to cognitive constraints. Such limited attention causes severe underreaction to immediate earnings announcement, therefore leads to mispricing abnormal related to public accounting information. In the long-run, the market adjusted and there is post-announcement drift.

Consistent with Hirshleifer et al. (2009), the findings in this study indicate that individual investors’ behaviors are influenced by their limited attention in China. The results are different from Yu and Wang (2010) conclusions that same-day concentrated announcement help investors and facilitate information dissemination in China. The findings are explained by the investor distraction hypothesis proposed by Hirshleifer et al. (2009) that investor distraction causes market underreaction.

The arrival of simultaneously extraneous earning information cause market prices and trading volume to react slowly to the relevant news about a firm because competing information signals distract investor from a given firm, causing market price to underreact to relevant news. These finding help us understand investor behavior and the impact of limited attention on security market.

Investor limited attention not only affects their stock-buying behavior, but also has an important impact on the efficiency of security market. Specifically, limited attention drive immediate underreaction to earning announcement and the post-earning announcement drift, especially when a greater number of same-day earning announcements are made by other firms.

Limited attention affects security market in China.

The purpose of this paper is to theoretically and empirically explore the effects of attention levels on individual investors' investment return.

By introducing the heterogeneous attention, the authors first expand the theoretical model of Barber and Odean. The authors use graphical analysis, univariate analysis, multiple regression analysis and construct a portfolio to carry out an empirical study.

The authors first find evidence in support of Barber and Odean's price pressure hypothesis. By theoretical and empirical study, the authors conclude that attention negatively affects individual investors' investment return.

By introducing the heterogeneous attention, the paper provides a theoretical basis for empirical study. Baidu abnormal search volume was used as a proxy for individual investors' attention, and analysts' neutral ratings were used to empirically verify the theoretical theorem.

This analysis is the first to explore the overall roles of the offsetting attraction and distraction influences of earnings news in shaping the level of attention given to the equity market by market participants.

We use multivariate regression approach and examine how trading activity levels within the set of non-announcing firms varies with respect to collective measures of contemporaneous earnings announcement visibility. We employ attention and information transfer theories in our hypothesis development.

This analysis is the first to explore the overall roles of the offsetting attraction and distraction influences of earnings news in shaping the level of attention given to the equity market by market participants. Specifically, we examine how the number of earnings announcement activity affects investor attention as measured by trading volume given to the set of non-announcing firms. We find that while earnings announcement numbers lower trading volume responses to earnings news among announcing firms (consistent with Hirshleifer et al., 2009), their distractive influence does not carry over into the market as a whole. More importantly, investor attention to both the overall market and the larger subset of non-announcing firms increase in response to earnings news activity levels. However, after decomposing the announcers as same-industry and different-industry announcers, we find that investor attention to the non-announcing segment of the market increases with the number of same-industry announcers, but actually seems to decrease (i.e. they distract attention) with the number of different-industry announcers. We also find that the associated earnings surprise brings attention to non-announcing firms (consistent with earnings news is relevant to overall market price movements). Finally, we find that distraction effects are attenuated in the financial crisis period.

A promising area of future research is to examine the relation between market pricing efficiency and aggregate earnings activity for the set of non-announcing firms. Although it will be a challenging task to measure pricing efficiency for the non-announcers, this will complement the prior literature only focusing on the announcing segment of the market.

First, instead of assessing the impact of number of earnings announcements on the subset of announcing firms, which is a micro-level perspective, we identify the impact of news arrivals on all firms in the market including the vastly larger set of non-announcing firms. Second, by decomposing the number of announcements into industry-related and -unrelated news we show that different types of news arrivals spark investor attention differently, suggesting the importance of categorizing the news into related and unrelated industries.

A potential future area of research identified by our analysis is to investigate what type of investors' attention is distracted or attracted during the earnings announcements. A promising area of future research is to examine the relation between market pricing efficiency and aggregate earnings activity for the set of non-announcing firms.

This paper is the first one exploring the overall roles of the offsetting attraction and distraction influences of earnings announcements in shaping the level of investor attention given to the equity market by market participants. Our findings should be of interest to investors, analysts, security market regulators and researchers.

The paper aims to investigate the relationship between different investor attention proxies for different types of funds (retail vs institutional ones) looking at a sample of real estate funds.

The authors collect data about searching frequency on Google and all the news published in Italian specialized newspapers for a set of real estate funds. Following the approach proposed by Da, Engelberg and Gao, the authors construct a set of attention proxies and they compare the ranking with some summary statistics and evaluate the causality relationship among them using a Granger causality test.

Results demonstrate that online search frequency is relevant for both institutional and retail funds and normally internet data are able to anticipate the news that will be published in the newspapers.

The analysis proposed is focused only on a small real estate market (Italy) where funds are specialized for the type of investor. A wider database can allow excluding that results achieved are biased by the specific features of the market analysed.

The role of internet proxies attention measures also for institutional investors demonstrate that the managing companies offering financial instruments reserved to institutional investors should consider both channels of information – newspapers and the internet – to measure any positive or negative sign of investor attention to their products.

The article represents the first analysis of investor attention proxies on the real estate market and the first comparison of investor attention proxies for retail and institutional investors.