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Recent trends in trading activity and market quality

TLDR
Turnover has been associated with more frequent smaller trades, which have progressively formed a larger fraction of trading volume over time as discussed by the authors, suggesting professional investing as a key contributor to the turnover trend.
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Low-latency trading $

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Review: Text mining for market prediction: A systematic review

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Have capital market anomalies attenuated in the recent era of high liquidity and trading activity

TL;DR: This article examined whether the recent regime of increased liquidity and trading activity is associated with attenuation of prominent equity return anomalies due to increased arbitrage and found that the majority of the anomalies have attenuated and the average returns from a portfolio strategy based on prominent anomalies have approximately halved after decimalization.
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Liquidity Measurement Problems in Fast, Competitive Markets: Expensive and Cheap Solutions

TL;DR: In this article, the authors show that using the popular monthly trade and quote database yields distorted measures of spreads, trade location, and price impact compared with the expensive Daily Trade and Quote (DTAQ) database.
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The Media and the Diffusion of Information in Financial Markets: Evidence from Newspaper Strikes

Joel Peress
- 01 Oct 2014 - 
TL;DR: In this article, the authors investigate the causal impact of national newspaper strikes on trading and price formation by examining national newspaper strike in several countries and demonstrate that the media contribute to the efficiency of the stock market by improving the dissemination of information among investors and its incorporation into stock prices.
References
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Common risk factors in the returns on stocks and bonds

TL;DR: In this article, the authors identify five common risk factors in the returns on stocks and bonds, including three stock-market factors: an overall market factor and factors related to firm size and book-to-market equity.
ReportDOI

A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix

Whitney K. Newey, +1 more
- 01 May 1987 - 
TL;DR: In this article, a simple method of calculating a heteroskedasticity and autocorrelation consistent covariance matrix that is positive semi-definite by construction is described.
Journal ArticleDOI

The Cross‐Section of Expected Stock Returns

TL;DR: In this paper, Bhandari et al. found that the relationship between market/3 and average return is flat, even when 3 is the only explanatory variable, and when the tests allow for variation in 3 that is unrelated to size.
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Risk, Return, and Equilibrium: Empirical Tests

TL;DR: In this article, the relationship between average return and risk for New York Stock Exchange common stocks was tested using a two-parameter portfolio model and models of market equilibrium derived from the two parameter portfolio model.
Journal ArticleDOI

Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency

TL;DR: In this article, the authors show that strategies that buy stocks that have performed well in the past and sell stocks that had performed poorly in past years generate significant positive returns over 3- to 12-month holding periods.
Frequently Asked Questions (10)
Q1. What have the authors contributed in "Recent trends in trading activity and market quality" ?

Turnover has increased the most for stocks with the greatest level of institutional holdings, suggesting professional investing as a key contributor to the turnover trend this paper. 

These and other issues are left for future research. 

The results indicate that more negative or more positive returns both imply increased turnover, and the variables interacted with the post 2000 dummy are all statistically significant, clearly implying a stronger relation between turnover and the return variables in recent years. 

Though French (2008) shows that direct holdings of individuals have declined (from about 47% in 1980 to about 22% in 2006), the enhanced ease of trading may have increased trading by individual investors, thus influencing the turnover trend. 

the explanatory power of the regression increases by just 2% when these potential determinants are added to the regression. 

About 88% of the time-series variation in turnover can be explained by these variables alone, and these variables are all positive and significant, confirming the dramatic up-trend in trading activity. 

Such phenomena may enable them to trade on private information more effectively because decreased trading frictions may increase returns from information-based trading. 

The decrease in the mean level may be due to the aftermath of the stock price rise and fall in the tech sector and the recent financial crisis.30 Overall, changes in either of the three turnover determinants are either not large enough or are of the wrong sign, thus indicating that they likely cannot justify the dramatic increase in turnover in recent years. 

The second variable, intended to capture changes in long-term momentum, is the absolute value of the compounded return from month t-2 to month t-6, where t is the month in which turnover is measured. 

It can be seen that for the group with the largest institutional holdings, small trade turnover has increased by about 0.2% to 6.3% across22