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This paper aims to investigate the performance of estimators of the bid-ask spread in a wide range of circumstances and sampling frequencies. The bid-ask spread is important for many reasons. Because spread data are not always available, many methods have been suggested for estimating the spread. Existing papers focus on the performance of the estimators either under ideal conditions or in real data. The gap between ideal conditions and the properties of real data are usually ignored. The consistency of the estimates across various sampling frequencies is also ignored.

The estimators and the possible errors are analysed theoretically. Then we perform simulation experiments, reporting the bias, standard deviation and root mean square estimation error of each estimator. More specifically, we assess the effects of the following factors on the performance of the estimators: the magnitude of the spread relative to returns volatility, randomly varying of spreads, the autocorrelation of mid-price returns and mid-price changes caused by trade directions and feedback trading.

The best estimates come from using the highest frequency of data available. The relative performance of estimators can vary quite markedly with the sampling frequency. In small samples, the standard deviation can be more important to the estimation error than bias; in large samples, the opposite tends to be true.

There is a conspicuous lack of simulation evidence on the comparative performance of different estimators of the spread under the less than ideal conditions that are typical of real-world data. This paper aims to fill this gap.

The purpose of this paper is to examine the direction of causality between foreign institutional investment (FII) trading volume and stock market returns in the Indian context. There is evidence of uni‐directional causalities from stock returns to FII flows across various sample periods. The paper attempts to establish whether net FII trading volume causes variations in stock market returns or vice versa.

Using daily data on three different measures of FII trading volume as proxy for FII trading behaviour and S&P CNX Nifty returns, Granger‐causality approach is applied to investigate the bi‐directional causality between net FII trades and returns.

Bi‐directional causality between net FII investment and Indian stock market return is observed. In general, the FIIs seem to be chasing the Indian stock market returns. It is found that FII trading behaviour resulting in heavy trading volumes may cause variations in stock market returns only in the very short‐term, but afterwards, it is the stock market returns which cause changes in FII trading behaviour.

Since foreign equity investors monitor the movement of stock prices, and furthermore, the role of FIIs' exerting impact on Indian stock markets tends to be growing, the authorities will have to develop an environment where FIIs would maintain their positions with confidence, thereby making the markets, as well as investments, more stable. This research considered only stock market returns to test its relationship with three measures of FII trading volume; more macroeconomic as well as microeconomic variables may further be considered for the purpose.

The paper contributes some empirical evidence using three different measures of FII trading volume as proxy of FII trading behaviour, and its bi‐directional relationship with Indian stock market returns.

The phenomenon of positive autocorrelation in daily stock index returns is often viewed as a consequence of stable behavioural patterns of certain investor groups (see, e.g., Sentana & Wadhwani, 1992; Koutmos, 1997). However, such patterns may change due to extreme events, that is, financial crises, and thus affect the autocorrelation in returns. Emerging markets and especially BRIC countries have experienced severe crises in the last 20 years and are therefore a suitable object for studying this effect.

The focus of this chapter is on identifying substantial changes in the autocorrelation of BRIC markets' index returns after experiencing upheavals of the financial system. For this purpose, we look for structural breaks in the parameters of an ARMA–GARCH model with the standard endogenous search procedure.

Our approach yields no statistically significant evidence of the autocorrelation changes due to the crises. Only in India the decline in autocorrelation in 1998 seems to be economically relevant, but is not significant statistically. Significant shifts that we could identify were rather related to microstructural changes, such as abolishment of price change limits by China and the removal of a leading player in India's market in 1992. All in all our results suggest that even though extreme negative events on financial markets may induce changes in feedback trading strategies, their influence on autocorrelation is not pronounced enough. The impact of other factors, in the first place of regulatory changes, seems to be of larger relevance.

This paper addresses the topic “The interaction between financial institutions and firms in the nonfinancial sectors” in the special issue of “Banking and finance in China.” The purpose of this paper is to examine the trading behavior and price effects of foreign institutions under the celebrated Qualified Foreign Institutional Investor (QFII) scheme on all non-financial firms in the Chinese A-share markets.

Using quarterly equity-level foreign institution transactions from 2005Q1 to 2011Q4 in the Chinese A-share market, the author finds a positive and significant contemporaneous relationship between foreign flows and equity returns. For each quarter, the author sorts the stocks into ten portfolios based on the percentage of foreign flows, and employs the bivariate vector autoregression (VAR) model to examine the contemporaneous association in detail.

Foreign institutions in the Chinese A-share markets do not show positive or negative feedback trading; however, their flows have a strong impact on future equity returns because of informational advantage. Additionally, different associations are found between foreign flows and equity returns.

Constraints on data availability exist, and a quarterly dimension is too coarse to provide a statistically precise result, although certain related papers use quarterly dimension data. Further research is required using higher frequency data.

This paper provides a first look at foreign institution trading patterns and price effects on local equity returns in the Chinese A-share markets. Additionally, the equity level data allow the author to exclude the stocks that were not bought by foreign institutions and to detect the “pure effect” of foreign flows on equity returns.

This study investigates domestic individual, institutional and foreign investors’ trading, to test Hong and Stein (1999)’s behavioral explanation that momentum profit is generated as some uninformed investors underreact to information on medium-term prices. Using Hvidkjaer (2006)’s methodology, we examine the respective investors’ trading tendencies reflected in their active price-setting orders. We analyze a special database compiling details on every transaction for the stocks listed on the KSE during 1996:12~2009:08. During 2001~2007, individual investors’ underreaction in trading large-size winner stocks contributes to positive momentum profits. They seem to induce weak negative profits to emerge in 1997~2000, too. Foreign investors underreact to small-size loser stocks, incurring positive momentum profits during 2001~2007. They engage in positive feedback trading, when they trade large-size winner stocks. This trading tendency does not seem to be based on information on firm fundamentals, as we find those winner stocks’ returns are not sustained. Institutional investors’ trading seems to be relatively in line with future returns, but evidences are not strong enough to support they are informed investors. Overall, the behavioral hypothesis on investors’ underreaction seems to explain medium-term momentum profits in Korea, but evidences differing across subsamples suggest possibility of other unknown influences.

The purpose of this paper is to bridge the gap between the existing theoretical and empirical studies by examining the asymmetric return–volume relationship. Indeed, the authors aim to shed light on the return–volume linkages for French-listed small and medium-sized enterprises (SMEs) compared to blue chips across different market regimes.

This study includes both large capitalizations included in the CAC 40 index and listed SMEs included in the Euronext Growth All Share index. The Markov-switching (MS) approach is applied to understand the asymmetric relationship between trading volume and stock returns. The study investigates also the causal impact between stock returns and trading volume using regime-dependent Granger causality tests.

Asymmetric contemporaneous and lagged relationships between stock returns and trading volume are found for both large capitalizations and listed SMEs. However, the causality investigation reveals some differences between large capitalizations and SMEs. Indeed, causal relationships depend on market conditions and the size of the market.

This paper explains the asymmetric return–volume relationship for both large capitalizations and listed SMEs by incorporating several psychological biases, such as the disposition effect, investor overconfidence and self-attribution bias. Future research needs to deepen the analysis especially for SMEs as most of the literature focuses on large capitalizations.

This empirical study has fundamental implications for portfolio management. The findings provide a deeper understanding of how trading activity impact current returns and vice versa. The authors’ results constitute an important input to build and control trading strategies.

This paper fills the literature gap on the asymmetric return–volume relationship across different regimes. To the best of the authors’ knowledge, the present study is the first empirical attempt to test the asymmetric return–volume relationship for listed SMEs by using an accurate MS framework.

As of May 2022, the National Pension Service of Korea is the world's third-largest pension fund, with assets worth KRW912tn (approximately $US800bn). Of the KRW152tn (approximately $US133bn) invested in domestic equities, 45% is outsourced to external asset managers. Given the absence of prior research on the National Pension Service's (NPS's) management method, this study analyzes its trading strategies and market impact according to the fund management method from 2005 to 2022. The results are as follows: First, the stock characteristics selected by internal management using passive strategies are different from those selected by external management, in which various strategies are combined. Second, the contrarian investment strategy, which acts as a market stabilizer, is a characteristic of the external management trading pattern, while internal management increases volatility and does not improve liquidity. Third, there has been a change in the internal management strategy since 2016, when the fund management headquarters was relocated. This study is practically significant and distinctive in that it confirms the differences between the NPS's two investment methods in terms of trading strategies and market impact.

The purpose of this paper is to study the effect of different parts (predictable and impact) of different types of speculative behavior (intraday speculation, medium-term speculation and long-term speculation) on future fluctuations in the underlying index.

The authors input information about heterogeneous speculative behavior into the HAR-RV model to study the effect of different parts (predictable and impact) of different types of speculative behavior (intraday speculation, medium-term speculation and long-term speculation) on the future fluctuation of the underlying index.

The authors find that the increase in intraday speculation will exacerbate spot market volatility; and the expected increase of long-term value speculation can reduce market volatility, but the shock of speculation will exacerbate market volatility.

The authors suggest that regulators should strictly limit speculative intraday trading, and also focus on the long-term value speculation that decreases market volatility, in order to guide the benign development of the markets that stabilize abnormal market fluctuations.

First, in view of the correlation between the futures and spot markets, the authors put forward a new proxy for the speculation degree. Second, the authors input heterogeneous speculative behavior into the HAR-RV model to study the effects of different parts (predictable and impact) on different types of speculative behavior (intraday speculation, medium-term speculation and long-term speculation) on the future fluctuation of the underlying index.

Extending the extant literature and using Qatar’s equity market as a case study, this paper aims to look into the potential impacts of foreign investor groups’ trading activities on market volatility in comparison with those of Qatar’s domestic investor counterparts.

The dataset is comprised of daily aggregated values of stock purchases and sales made separately by four investor groups, namely, foreign individual investors, foreign institutional investors, domestic individual investors, and domestic institutional investors. An ex post measure of volatility introduced by Rogers and Satchell (1991) is employed. Four proxies for investor trading are considered separately in the analysis. The objective of the study is empirically addressed in the context of the Generalized Method of Moments estimation technique.

In general, there exists substantial contemporaneous price impact associated with foreign equity investment in the Qatari capital market, despite the fact that foreigners’ buy and sell trades are not as large as those of their domestic counterparts. More specifically, foreign institutional sales (purchases) tend to increase (reduce) market volatility. Like those of foreign institutions, the sell trades by foreign individuals have a positive impact on volatility. On the other hand, domestic institutional purchases are significantly negatively related with market volatility, whereas the sell trades by the same category have no impact on volatility. Finally, surprises in foreigners’ trading volumes turn out to be responsible for adding to volatility.

Although a sudden reversal of foreign capital flows can pose a real threat to the stability of the Qatari capital market, such capital flows are deemed to be an indispensable vehicle for enhancing the liquidity and efficiency of the market. Accordingly, policy makers in Qatar should overhaul the current foreign investment legislation to make it even more streamlined and better suited to achieving the country’s strategic vision for the market. Foremost in these reforms is relaxing the stringent 25 percent foreign ownership restriction. Such a relaxation process is highly recommended to be phased in only gradually, in order to weigh its pros and cons. In this regard, the authorities concerned should consider embarking on a range of procedures intended to ward off the adverse ramifications of foreign capital outflows.

To the author’s best knowledge, no study about the impact of foreign equity flows on domestic markets has been so far conducted using trading data from the Qatari market. This work presents one such attempt.

In prior literature, online endorsement system allowing the users to “like” or “dislike” shared information is found very useful in information filtering and trust elicitation in most social networks. This paper shows that such systems could fail in the context of investment communities due to several psychological biases.

This study develops a series of regression analyses to model the “like”/“dislike” voting process and whether or not such endorsement distinguishes between valuable information and noise. Trading simulations are also used to validate the practical implications of the findings.

The main findings of this research are twofold: (1) in the context of investment communities, online endorsement system fails to signify value-relevant information and (2) bullish information and “wisdom over the past event” information receive more “likes” and fewer “dislikes” on average, but they underperform in stock market price discovery.

This study demonstrates that biased endorsement may lead to the failure of the online endorsement system as information gatekeeper in investment communities. Two underlying mechanisms are proposed and tested. This study opens up new research opportunities to investigate the causes of biased endorsement in online environment and motivates the development of alternative information filtering systems.