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The purpose of this paper is to examine the long-run survival of earnings fixated traders.

This paper builds a theoretical model of a competitive securities market where both rational traders and earnings fixated traders receive an informational signal about the asset payoff before any trade occurs. Since earnings fixated traders underestimate the mean and variance of the risky asset payoff, earnings fixated traders is shown to make less expected profits than rational traders.

If traders’ types replicate according to the relative profitability of their trading strategies, then earnings fixated traders will disappear in the long run. The results of this paper provide analytical support to Tinic’s (1990) intuition about the eventual disappearance of earnings fixated traders.

In the literature, the underestimation of risk is popularly viewed as the cause of irrational traders being better able to exploit the misvaluations (created by noise traders) than rational traders. Hence, it favors the survival of irrational traders over rational traders. However, this paper disapproves this intuition in the informational environment of the competitive securities market.

The market environment plays a crucial role in determining the long-run survival of irrational traders.

This paper is the first to present a theoretical result showing that in this informational environment of the competitive securities market, the underestimation of risk by irrational traders does not give them advantage over rational traders in exploiting the misvaluations (created by noise traders) as it does in Callen and Luo (2011) and Hirshleifer and Luo (2001).

When agents first become active investors in financial markets, they are relatively inexperienced. Much of the literature focuses on the incentives of presumably sophisticated informed agents to produce information, and not on the nave agents. However, unsophisticated agents are important aspects of financial markets and worth analyzing further. In this paper, we provide a theoretical perspective that addresses the issue of how many nave traders would one expect in a financial market where policy makers try to educate the nave agents.We show that such policy balances the effects of nave trades on corporate investment and liquidity, as well as the monetary cost of increasing financial sophistication. The optimal proportion of nave agents varies with the value of information, the noise in private signals, and the inherent sensitivity of corporate investment to prices.We also show that the policy tool of encouraging insider trading can deter nave investors and thus improve corporate governance and the efficacy of corporate investment.

The purpose of this paper is to examine investor sentiment by measuring the impact of market sentiment shocks on the volatility of the Islamic stock index of five ASEAN countries, with noise traders as a proxy for market sentiment.

The GJR-GARCH model is used to capture the empirically observed fact that negative shocks in the past period have a stronger impact on variance than positive shocks in the present.

All five ASEAN Islamic stock indices show clustering volatility. However, only three countries, namely, Malaysia, Thailand and Singapore, demonstrate leverage effects. In addition, the effect of market sentiment on Islamic stock index returns is observed in the Indonesian and Malaysian markets, which are the two largest Islamic markets with a dominant Muslim population in the ASEAN. This finding implies that the trading behaviours of Muslim investors in the Shariah market are the same as their behaviours in the conventional market, that is, nonadherence to the Sunnah.

Whilst establishing investment strategies, creating portfolios and providing client-advisory services, investors and fund managers should factor in the presence of market sentiment and its impact on stock performance and volatility. In addition, a capital market system preventing rumour-based transactions is compelling.

In some markets, the Islamic financial products awareness should be increased through education to attract increased domestic investors with the potential to boost growth in the Islamic stock market.

Investigation market sentiment impacts on the Islamic stock index using noise traders as a proxy.

The purpose of this paper is to examine the impact of Turkish individual investor sentiment on the Istanbul Stock Exchange (ISE) and to investigate whether investor sentiment, stock return and volatility in Turkey are related.

This study used the monthly Turkish Consumer Confidence Index, published by the Turkish Statistical Institute, as a proxy for individual investor sentiments. First, Turkish market fundamentals were regressed on investor sentiments in order to capture the effects of macroeconomic risk factors on investor sentiments. Then, it used the impulse response functions (IRFs) generated from the vector autoregression (VAR) model to examine the effect of unanticipated movements in Turkish investor sentiment to both stock returns and volatility of the ISE.

The generalized IRFs from VAR shows that unexpected changes in rational and irrational investor sentiment have a significant positive impact on ISE returns. This suggests that a positive investor sentiment tends to increase ISE returns. The study also documents that unanticipated increase in the rational component of Turkish investor sentiment has a negative significant effect on ISE volatility. This might indicate that investors have optimistic expectations of the economy overall with respect to market fundamentals in Turkey. This optimism can result in creating positive expectations, reducing uncertainty, and reducing the volatility of stock market returns.

The study was applied only for the period 2004-2010 on the ISE stock returns and volatility.

Regardless, investors should know the impact of irrational investor sentiments while establishing investment strategies. The results of this study may also help policy makers stabilize investor sentiments to reduce stock market volatility and uncertainty.

This paper adds to the limited understanding of investor sentiment impact on stock return and volatility in an emerging market context.

This comprehensive study aims to take a punctilious approach intended to present qualitative and quantitative knowledge on the emerging concept of noise trading and identify the emerging themes associated with noise trading.

This study combines bibliometric and content analysis to review 350 publications from top-ranked journals published from 1986 to 2020.

The bibliometric and content analysis identified three major themes: the impact of noise traders on the functioning of the stock market, traits of noise traders and different proxies used to measure the impact of noise trading.

This study undertakes research papers related to the field of finance, published in peer-reviewed journals and that too in the English language.

This study shall accommodate rational traders, portfolio consultants and other investors to gain deeper insights into the functioning of noise traders. This will further help them to formulate their trading/investment strategies accordingly.

The successful combination of the bibliometric and content analysis revealed major gaps in the literature and provided future research directions.

Research draws the distinction between noise traders and informed traders. Research also documents market biases in equity returns due to cloud cover, a non‐informational (noise) event, showing that returns decrease on cloudy days. The purpose of this paper is to investigate the trading behaviour of short‐sellers, who are considered informed traders, conditioning on the level of cloudiness, and find an increase in short selling with the level of cloudiness. Additionally, the paper finds decreases in short selling the three days prior to a cloudy day (or series of cloudy days).

The authors replicate the weather anomaly in stock returns reported in the literature for the sample period, and then study the trading behaviour of short sellers conditioned on cloud cover. Additionally the authors treat cloud cover as an event and study short selling volume in the pre‐event window.

The paper finds an increase in short selling with the level of cloudiness. Additionally, the paper finds decreases in short selling, relative to the event day(s), in the three days prior to a cloudy day (or series of cloudy days).

The authors believe that they are the first to document that weather impacts short seller's trading behaviour. The authors argue that the results point towards a behavioural bias.

The purpose of this paper is to investigate the changes in initial public offering (IPO) underpricing and short‐run performance following a regulatory reform (No. 54 [2002] China Securities Regulatory Commission (CSRC)) of the method of allocating IPO shares in China.

On 20 May 2002, the CSRC announced that IPO subscription and allotment would be based on the market value of investors' tradable shareholdings. Before the regulatory change, this was determined by the amount of funds used for subscription. The reform was intended to increase participation by both smaller and institutional investors. Based on a sample of 209 IPOs in the Shanghai A‐share market during the period 2001‐2003, the paper employs an event study methodology to examine the impact of this IPO regulatory reform.

The paper finds that the overall (pre‐ and post‐reform) average abnormal initial return of 116.94 per cent is lower than in earlier studies of Chinese IPOs but higher than in other markets. Post‐reform underpricing decreases by 42.27 per cent compared to pre‐reform levels. In the post‐listing aftermarket a pre‐reform upward trend of cumulative abnormal returns was reversed to become downward post‐reform. The results suggest that the regulatory change has encouraged well‐informed investors, consistent with Information Cascades and Bandwagon hypotheses. It also appears that the reform improved market efficiency and secondary market liquidity.

The findings shed light on the relationship between IPO costs, IPO pricing, market liquidity and market microstructure. They also have important implications for issuers, underwriters and in particular for policy markers.

The purpose of this paper is to investigate whether the interaction between sentiments and past prices can lead to higher abnormal profit in futures markets. Such examinations allow the authors to relate the paper to the debate that focuses on examining the behavior of different types of traders in futures market, and who among these traders destabilize the markets.

First, the authors develop new dynamic strategies in US futures market that combine sentiment by type of traders based on trader position provided by the Disaggregated Commitments of Traders with short-term contrarian signals. Next, the authors adjust the abnormal profits to the CAPM model and Miffre and Rallis’s (2007) model. Finally, the authors use the Du (2012) decomposition methodology.

The main findings are that the abnormal profit is more pronounced when the authors combine past returns with lagged high producer/merchant/processor/user or low managed money sentiment. The results from swap dealer or other reportable groups show that there is no pervasive directional relation between their sentiment and contrarian profit. A further investigation of the sources of abnormal profits demonstrates that these profits survive even after the adjustment of obtained return to risk. Instead, these profits are mainly due to the overreaction to the news by irrational traders.

Based on behavioral finance theories, the authors conclude that producer, merchant, processor and user behave like irrational traders, while managed money traders behave like rational ones. Given that current regulatory proposes the limitation of speculation, the policy implications of these results are important. Therefore, these findings suggest that policy distinctions on trading motives may be more challenging to construct than ever.

The purpose of this paper is to examine the debate on whether psychology affects asset prices using agent-based modeling.

The authors set up three simulation regimes where the first regime contains fundamental investors who invest based on the mean-variance framework. The second regime includes purely irrational investors who invest based on behavioral biases. The third regime combines the two types of investors. The authors test whether the return properties from regime 3 converge to that of regime 1 or 2.

Results suggest that the type of irrationality affects return properties in different ways. Irrational investors who are introspective in their irrationality, only examining their performance and deficiencies, do not have much of a systematic effect on stock returns when combined with rational investors. However, irrational investors that aggregate information in an irrational manner have a systematic effect when combined with rational investors.

Research implication of using simulation analysis is that the results need to be verified via other methods such as empirical and/or experimental analysis.

Practical implications of the research is that policy makers can look for factors that investors use to aggregate to better understand the movement of financial prices and ignore other factors.

Social implication is that mass psychology impacts financial prices.

No other paper has used agent-based/behavioral analysis to better understand how different types of behavior may impact financial prices in different ways.