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The purpose of this paper is to investigate the impact of the frequency of information acquisition on the frequency of stock trading. The authors also examined if the Big Five personality traits of investor influence the association between information acquisition and stock trading behavior.

The authors adopted NEO Five-Factor Inventory (Costa and McCrae, 1989) inventory to measure the Big Five personality traits of investors and examined the data collected from 541 individual investors of the Chinese stock market. To overcome the potential endogeneity bias, the authors followed two-stage least square method for estimating endogenous covariate by employing instrumental variable analysis. The authors performed probit regression to evaluate the moderating influence of investor personality traits on the association between information acquisition and stock trading behavior. The authors also performed several other tests to check the robustness of the key findings.

This research confirmed the previous findings that the more frequently investors acquire information, the more often they trade in stocks. Moreover, the authors added to the existing literature by providing empirical evidence that the Big Five personality traits moderate the relationship of information acquisition with stock trading behavior. Information acquisition tends to increase stock trading frequency in investors with conscientiousness, extraversion and agreeableness traits. On the other hand, it also has the tendency to decrease the intensity of stock trading in investors with openness and neuroticism traits.

The theoretical model in this study seeks to explain that the psychological factor, namely, investor personality, influences the way an investor interprets signals from information which in turn influences the investor decision to trade in securities. This research suggests that psychological characteristics of investors can be of relevance for policy makers in their attempts to improve their business in the financial services industry.

This study combines both information search literature and behavioral finance literature to investigate whether or not the information acquisition that relates to investors’ asset allocation decisions is influenced by investor personality. The study offers new theoretical insights into investors’ behavior due to the characteristics of the Chinese stock market which are uniquely different from other stock markets in the world. No previous study has been conducted so far in the Chinese stock market to explore variations in the impact of investors’ information acquisition on their stock trading by the Big Five personality and this paper strives to fill this research gap.

The main thrust of the present study is to look into the trading patterns of behavior and investment performance exhibited by individual and institutional investor categories in the Qatar Exchange (QE). The paper aims to discuss these issues.

The present study uses daily aggregated investment flows made separately by each investor group, as well as daily closing price observations of the QE stock composite index. The trading patterns of investor categories are examined by estimating a bivariate vector autoregressive process of order p, VAR (p). To determine whether each category performs well or poorly over the entire sample period, each investor category's cumulative returns are estimated and analyzed.

The empirical results reveal that institutional investors pursue positive feedback trading strategies, whereas individual investors tend to be negative feedback traders. Both investor categories appear to be engaged in herding behavior. Additionally, institutional investors perform well over almost the entire sample period. In contrast, individual investors' negative market timing ability dominates their overall poor performance.

The investment performance gap found between institutional investors and individual investors in the Qatari capital market may reflect a large information asymmetry in favour of the former category. Indeed, the poor performance of individual investors implies that their trading activities are generally driven by factors and considerations that are irrelevant to fundamentals. Moreover, their irrational trading decisions may play some role in the formation of asset price bubbles.

The present study makes the first attempt to provide empirical evidence on the investment patterns and performance of individual and institutional investors trading on the Qatari capital market.

The purpose of this paper is to investigate the immediate impact of firm-specific announcements on the trading volume of individual and institutional investors on the Australian Securities Exchange (ASX), during a period when the market becomes fragmented.

This study uses intraday trading volume data in five-minute intervals prior to and after firm-specific announcements to measure individual and institutional abnormal volume. There are 70 such intervals per trading day and 254 trading days in the sample period. The first 10 minutes of trading (from 10.00 to 10.10 a.m.) is excluded to avoid the effect of opening auction and to ensure consistency in the “starting time” for all stocks. The volume transacted during five-minute intervals is aggregated and attributed to individual or institutional investors using Broker IDs.

Institutional investors exhibit abnormal trading volume before and after announcements. However, individual investors indicate abnormal trading volume only after announcements. Consistent with outcomes expected from a dividend washing strategy, abnormal trading volume around dividend announcements is statistically insignificant. Both individual and institutional investors’ buy volumes are higher than sell volumes before and after scheduled and unscheduled announcements.

The study is Australian focused, but the results are applicable to other limit order book markets of similar design.

The results add to the understanding of individual and institutional investors’ trading behaviour around firm-specific announcements in a securities market with continuous disclosure.

The results add to the understanding of individual and institutional investors’ trading behaviour around firm-specific announcements in a securities market with continuous disclosure.

These results will help regulators to design markets that are less predatory on individual investors.

The purpose of this paper is to analyze the trading behaviors of retail investors and investigate their impacts on stock returns.

As retail investors are considered as the main noise traders in the capital market, using the trading records of Chinese retail investors from 2005 to 2009, the authors study their trading preferences and the correlation of their trades. Then, they use a multifactor model to test whether the co‐movement of stock returns could be explained by individual sentiment.

The authors' results show that the small‐cap stocks are obviously preferred by retail investors. Meanwhile, the net stock demands of retail investors are systematically correlated, even when the effect of market risk is excluded. In the perspective of the net stock demands, the authors use BSI to measure the individual sentiment, finding that individual sentiment plays an important role in the formation of the cross‐section of stock returns. However, the authors' results imply that BSI is a reverse indicator to predict the future returns, which implies that the trading behaviors of retail investors are irrational.

Consistent with behavioral theory, the authors' findings support the viewpoint that stock returns could be affected by the systematic correlated trading of retail investors. To some extent, their findings highlight the need to know more details of individual investors' trading behaviors through which the fluctuations of asset prices can be better understood.

This study investigates the dynamic relationships among trading behaviors of different investor groups (foreigners, domestic institutions and domestic individuals), stock returns and sovereign CDS (Credit Default Swap) spreads in Korea.

We employ the VAR (Vector autoregression) model to examine the dynamic relationships between CDS spread changes, stock returns and investors' behavior in the stock market.

The CDS spread change (stock return) declines (rises) in response to shocks to net foreign flows into the stock market on the same day. Foreigners buy stocks more intensely one day after an increase in the stock return, but they do not respond to CDS spread changes. Domestic individuals trade in the opposite direction of foreigners in response to shocks to both stock returns and CDS spread changes on the same day. Positive net stock purchases of domestic institutions (individuals) predict positive (negative) stock returns and negative (positive) CDS spread changes next day.

This study extends prior studies by examining how different investor groups' trading behaviors in the stock market are associated with not only the stock market but also a closely related market (CDS market). Prior empirical studies on the relation between the stock and CDS markets do not pay attention to possible heterogeneity in trading behavior across different types of investors in the stock market.

This paper applies a volume-price probability wave differential equation to propose a conceptual theory and has innovative behavioral interpretations of intraday dynamic market equilibrium price, in which traders' momentum, reversal and interactive behaviors play roles.

The authors select intraday cumulative trading volume distribution over price as revealed preferences. An equilibrium price is a price at which the corresponding cumulative trading volume achieves the maximum value. Based on the existence of the equilibrium in social finance, the authors propose a testable interacting traders' preference hypothesis without imposing the invariance criterion of rational choices. Interactively coherent preferences signify the choices subject to interactive invariance over price.

The authors find that interactive trading choices generate a constant frequency over price and intraday dynamic market equilibrium in a tug-of-war between momentum and reversal traders. The authors explain the market equilibrium through interactive, momentum and reversal traders. The intelligent interactive trading preferences are coherent and account for local dynamic market equilibrium, holistic dynamic market disequilibrium and the nonlinear and non-monotone V-shaped probability of selling over profit (BH curves).

The authors will understand investors' behaviors and dynamic markets through more empirical execution in the future, suggesting a unified theory available in social finance.

The authors can apply the subjects' intelligent behaviors to artificial intelligence (AI), deep learning and financial technology.

Understanding the behavior of interacting individuals or units will help social risk management beyond the frontiers of the financial market, such as governance in an organization, social violence in a country and COVID-19 pandemics worldwide.

It uncovers subjects' intelligent interactively trading behaviors.

The purpose of this paper is to investigate the role of financial advice on investor trading behavior by analyzing the influence of advisor personality.

The study utilized the Big Five personality framework from Costa and McCrae (1992) to measure personality traits of advisors and examined the data collected from 314 stock investor–advisor dyads. Personality traits of advisors were measured by the NEO-Five Factor Inventory (Costa and McCrae, 1989). Confirmatory factor analysis was conducted to assess the fitness of the Big Five model. We followed two-stage least square method for estimating endogenous covariate by employing instrumental variable analysis. Probit model was used to evaluate the moderating influence of advisor personality traits on the association between the usage of financial advice and trading behavior.

The authors found that financial advice positively impacts investors’ stock trading frequency. The authors also provide empirical evidence that financial advice is more likely to increase trading frequency when advisor personality tends to be openness, conscientiousness and agreeableness. On the other hand, information acquired from financial advisors causes fewer adjustments in investors’ portfolios when the personality of advisors is likely to be extraverted and neurotic.

The theoretical model in our study seeks to explain that a psychological factor, namely, advisor personality, influences the way an investor interprets information signals from financial advice, which, in turn, influences the investor’s decision to trade in securities.

This research suggests that characteristics of advisors other than those of investors can be of relevance for policy makers in their attempts to improve their business in the financial services industry.

Survey-based studies in finance are lacking. This study adds to the existing literature of behavioral finance that accounts for the observed variations in investors’ financial decision making explained by psychological factors. No previous study has been conducted so far exploring variations in the impact of financial advice on investors’ stock trading behavior by the Big Five advisor personality, and this paper strives to fill this research gap in Chinese stock market.

The purpose of this paper is to examine the relationship between price movements of target firms’ stocks and behaviors of local individual, local institutional and foreign investors in trading target firms’ stocks around mergers and acquisitions announcements in Korea.

This study uses event study methodology and cross-sectional regressions for abnormal returns.

Results reveal that the average abnormal return becomes significantly positive three days prior to the announcement date and becomes insignificant after the announcement date. Results also show that local individual investors tend to sell more intensely prior to announcements for target firms with larger wealth effects. In contrast, foreign investors tend to buy target stocks with larger wealth effects more intensely prior to the announcement date, and then they sell them more intensely in the post-announcement period.

This paper provides evidence that foreign investors are able to identify target stocks with large wealth effects prior to the announcement date and they realize short-term profits by selling them following the announcement.

The purpose of this study is to investigate the influence of mobile applications on investment decisions by retail investors in stocks and mutual funds. This study focuses on how mobile technologies are applied on mobile apps by retail investors for e-trading in emerging financial markets.

The study explored predictive relevance for the adoption behavior of retail investors under the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. Further, goal contagion theory was applied to investigate the adoption behavior of investors towards e-trading. An adapted questionnaire was used to collect the date from April to June 2021 and data analysis was performed on 507 usable responses. The methodology adopted in this study is variance based partial least square structural equational modelling (PLS-SEM). Additionally, the study explains important and performing constructs based on the response of retail investors towards mobile app usage for investment decisions.

The study shows that effort expectancy, performance expectancy followed by perceived return were the primary determinants of behavioral intentions to use mobile applications by retail investors for e-trading. Further, habit of investors determined the adoption behavior of investors towards mobile apps. Additionally, the study revealed that perceived risk is not an important aspect for retail investors in comparison to perceived return.

The study in future can address to the aspect of personality traits of retail investors for technology adoption for investment decisions. Further investigation is required on addressing unobserved heterogeneity of retail investors towards technology adoption process in emerging financial markets.

The study provides theoretical and practical implications for retail investors, financial advisors and technology companies to understand the behavioral pattern and mobile apps adoption behavior of retail investors in emerging financial market. The findings in the study will help broking firms to sensitize their clients for effective use of their respective mobile apps for e-trading purposes. The study will strengthen the knowledge of financial advisors to understand investment behavior of retail investors in emerging financial markets.

This study unfolds a novel framework of research to understand the technology adoption pattern of retail investors for e-trading by mobile applications in emerging financial markets. The present study provides significant understanding in the domain of technology adoption by retail investors under behavioral finance environment.

The literature on positive feedback trading has grown considerably in recent years. The purpose of this paper is to provide a review of the theoretical and empirical literature on positive feedback trading and especially the literature related to the Sentana and Wadhwani (1992) model.

This literature review covers theoretical and empirical work in this area and it points out shortcomings and potential extensions of the basic feedback model.

The evidence so far points in the direction of positive feedback trading being present in aggregate stock market indices, index futures, bond markets, foreign exchange markets and individual stocks. There are some important issues that require further investigation. For example, it is likely that feedback trading is a function of longer lags of past return. Likewise, asymmetric behavior during up and down markets appears to be the rule rather than the exception. More importantly, the models should allow for positive as well as negative feedback and be general enough to investigate feedback trading behavior in individual assets and not just the aggregate market.

The discussion points out theoretical and empirical limitations and shortcomings of the extant literature.

This is the first paper to review positive feedback trading, implications, limitations and need for future research.