trading activity
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2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gregor Dorfleitner ◽  
Isabel Scheckenbach

PurposeSocial trading platforms are considered to be amongst the major innovations in online trading. The purpose of this article is to analyze the trading activity of traders on social trading networks by taking a behavioral approach. Additionally, the authors investigate the factors that influence the irrational part of trading activity derived from the key characteristics of these platforms, i.e. those dealing with social interaction.Design/methodology/approachThe investigation utilizes an extensive set of trading data from two major platforms in Germany to study the trading behavior. The authors apply a fixed effects two-stage least squares (2SLS) approach to quantify the relationship between trading activity and performance and define overconfidence as the part of trading activity that is irrationally motivated and results in negative returns.FindingsThe results provide evidence for the negative relationship between overconfidence and return on social trading platforms. The authors find that the number of followers and some platform-specific features significantly affect the trading behavior of the traders.Originality/valueThe authors contribute to the existing literature by exploring how the novel social interaction characteristics of online trading impact trading activity by giving rise to a new dimension of overconfidence. In addition, the authors evidence that the different frameworks of the platforms motivate heterogenous behavioral responses by the signalers. Finally, the authors refine existing studies by applying a distinct methodology for modeling overconfidence.


2021 ◽  
pp. 227797522110402
Author(s):  
S S S Kumar

We investigate the causality in herding between foreign portfolio investors (FPIs) and domestic mutual funds (MFs) in the Indian stock market. The estimated herding levels are considerably higher than those observed in other international markets, and herding is prevalent in small stocks. We find that institutional investors follow contrarian-trading strategies, unlike what was documented in most other markets. Analysis of the aggregate herding measure shows a bi-directional causality between FPIs and MFs. Further analysis using directional herding measures indicate no evidence of causality between institutional herds on the sell-side. But we find causality on the buy-side and it is running in both directions between FPIs and MFs, implying a feedback of information. Given the tendency of institutions for herding in small stocks, adopting contrarian-trading strategies, the observed sell-side causality is perhaps having a salubrious effect. As institutional investors are contrarians, their trading activity will lead to price corrections in small stocks aligning with the fundamentals, thereby contributing to market efficiency. JEL Classification: C23, C58, G23, G15, G40


2021 ◽  
pp. 106394
Author(s):  
Andrew Grant ◽  
Petko S. Kalev ◽  
Avanidhar Subrahmanyam ◽  
P. Joakim Westerholm

2021 ◽  
Vol 74 ◽  
pp. 102277
Author(s):  
Sangram Keshari Jena ◽  
Amine Lahiani ◽  
Aviral Kumar Tiwari ◽  
David Roubaud

2021 ◽  
Vol 2 (2) ◽  
pp. 15-31
Author(s):  
MUHAMMAD TAHIR KHAN ◽  
GHAYYUR QADIR ◽  
SHAH RAZA KHAN ◽  
ABDUL LATIF

This study investigates the hypothesis of investor overconfidence that impact stock activity and stock return, using vector auto regressive model. Data observed consist of Monthly and daily returns from PSX 100 index. The results of the study shows that there are specific months in which the variables respond to each other or they are some actions that appears after some interval or else there is no significant relationship of current monthly return to past months volume, volume with volatility in stock returns as it is not increased with increase in volume. And there is no relationship of current monthly volume with previous market returns, Investor overconfidence has negative impact on trading activity as it keep them high and exaggerated level as it is not the real value of the securities and it may harm the investors. The results further marked that immediate past month return has an impact on current trading activity that is denoted from volume of trade.


2021 ◽  
Author(s):  
Dion Bongaerts ◽  
Richard Roll ◽  
Dominik Rösch ◽  
Mathijs van Dijk ◽  
Darya Yuferova

We study intraday, market-wide shocks to stock prices, market liquidity, and trading activity on international stock markets and assess the relevance of recent theories on “liquidity dry-ups” in explaining such shocks. Market-wide price shocks are prevalent and large, with rapid spillovers across markets. However, price shocks are predominantly driven by information; they do not revert and are often associated with macroeconomic news. Furthermore, liquidity shocks are typically isolated and transitory. Overall, we find little evidence for liquidity effects fomenting price shocks or non-fundamental contagion, nor for alternative explanations. Market-wide liquidity dry-ups are thus of little concern to international investors. This paper was accepted by Karl Diether, finance.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jennifer Morton ◽  
Russell Sacks ◽  
Jenny Ding Jordan ◽  
Steven Blau ◽  
P. Sean Kelly ◽  
...  

Purpose This article provides a resource for traders and other market participants by providing an overview of certain automatic circuit breaker mechanisms and discretionary powers that the U.S. Securities and Exchange Commission (SEC), Financial Industry Regulatory Authority (FINRA) and the U.S. president, as applicable, can exercise to pause or stop the trading of individual securities or trading activities across exchanges during extreme market volatility, each of which can cause interruptions to trading activity. Design/methodology/approach This article surveys automatic and discretionary mechanisms to halt trading activity under extreme market conditions. In particular, the article examines automatic cross-market circuit breakers, limit up-limit down pauses, the alternative uptick rule, as well as discretionary authority to stop short selling of particular securities and to stop trading across exchanges. Findings The article concludes that market participants must be cognizant not only of automatic cross-market circuit breakers, but also several other forms of potential market disruptions that may occur due to increased market volatility during the COVID-19 pandemic and beyond. Originality/value By exploring various mechanisms that respond to market disruption, this article provides a valuable resource for traders and other market participants looking to identify and respond to potential interruptions to their trading activity.


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