scholarly journals Investor Sentiments and Trading Volume’s Asymmetric Response: a Non-linear ARDL Approach Tested in PSX

2019 ◽  
Vol 5 (1) ◽  
pp. 47-56
Author(s):  
Irum Saba ◽  
Maria Shams Khakwani ◽  
Rehana Kouser ◽  
Abdul Wahab
Keyword(s):  
Trading Volume ◽  
Stock Exchange ◽  
Investor Sentiment ◽  
Market Liquidity ◽  
Short Term ◽  
Asymmetric Response ◽  
Ardl Approach ◽  
Investor Sentiments ◽  
Non Linear ◽  
Dynamic Linkages

The research paper entitled “Investor sentiments and trading volume’s asymmetric response: A non linear ARDL approach tested in PSX” is an attempt to investigate the dynamic linkages between trading volume and investor sentiments for Pakistan Stock Exchange (PSX) 100 index. Two sentiments indicators have been used to enlighten the linkages. These indicators are overconfidence and net optimism and pessimism. Trading volume has been used as a proxy for the measurement of market liquidity. Non-Linear Asymmetric Autoregressive Distributed Lag (NARDL) as well as Dynamic Conditional Correlation (DCC) GARCH have been used to explain the dynamic linkages between trading volume and investor sentiments. Empirical findings suggested an asymmetric long-term market liquidity reaction to investor sentiment as well as upcoming three-year correlation have been forecasted between the trading volume and investor sentiments. In the short term, stock market liquidity reacts rapidly and asymmetrically to changes in overconfidence sentiment while the net optimism and pessimism sentiment have insignificant short-term impact on trading volume.

scholarly journals The Market Reaction Around Ex-Dates of Stock Splits Before and After Decimalization

2005 ◽  
Vol 08 (02) ◽  
pp. 201-216 ◽  
Author(s):  
Robin K. Chou ◽  
Wan-Chen Lee ◽  
Sheng-Syan Chen
Keyword(s):  
New York ◽  
Stock Price ◽  
Trading Volume ◽  
Stock Exchange ◽  
New York Stock Exchange ◽  
Short Term ◽  
Tick Size ◽  
York Stock Exchange ◽  
Before And After ◽  
Abnormal Trading Volume

This paper examines the stock price behavior around the ex-split dates both before and after the decimalization on the New York Stock Exchange (NYSE). We find that the abnormal ex-split day returns decrease and the abnormal trading volume increases in the 1/16th and decimal pricing eras, relative to the 1/8th pricing era. These findings are consistent with the microstructure-based explanations for the ex-day price movements. Our study also supports the hypothesis that short-term traders perform arbitrage activities during the ex-split dates when transaction costs become lower after the tick size is reduced.

scholarly journals The effect of the introduction of market makers on stock liquidity: evidence from the Brazilian stock market

2021 ◽  
Vol 13 (2) ◽  
Author(s):  
Gabriel Augusto de Carvalho ◽  
João Eduardo Ribeiro ◽  
Laíse Ferraz Correia
Keyword(s):  
Stock Market ◽  
Confidence Level ◽  
Trading Volume ◽  
Stock Exchange ◽  
Structural Break ◽  
Market Liquidity ◽  
Market Makers ◽  
Turnover Ratio ◽  
Before And After ◽  
Structural Break Test

Purpose: This study aimed to analyze whether the introduction of market makers as specialized intermediaries in the trading of stocks listed on the Brazilian stock exchange is a useful procedure for increasing the market liquidity of these assets. Methodology: The Chow structural break test was performed in the time series of the liquidity proxies, average spread, turnover ratio, and financial volume on a sample of 55 stocks. We chose to consider data in the window of 260 days before and after the start of the market maker's activity, because it represents the approximate number of trading sessions in a year, and to avoid erroneous conclusions due to the volatility of the Brazilian stock market. Results: The results showed with a 99% confidence level that after the introduction of market makers, (i) 67% of the stocks analyzed had abrupt and statistically significant changes in the average spread; (ii) 47% in the turnover ratio; and (iii) 60% had changes in the volume transactions. At the confidence level of 95%, (i) 76% of the stocks analyzed showed abrupt changes in the average spread; (ii) 65% had changes in turnover; (iii) and 69% had changes in the trading volume. Using a lower confidence level of 90%, the results revealed 85% of the stocks had abrupt and statistically significant changes in the average spread, 78% in the turnover ratio, and 73% in the trading volume. Contributions of the Study: This paper provides strong evidence on the performance of market makers and the influence they have on the market liquidity of stocks traded on the Brazilian stock exchange. We found that contracting market makers increase market liquidity and contribute significantly to the assets’ transactions.

scholarly journals Market Liquidity and Stock Return in the Nigerian Stock Exchange Market

2019 ◽  
Vol 10 (2) ◽  
pp. 87-94
Author(s):  
Ibrahim Bello Abdullahi ◽  
Segun Kamorudeen Fakunmoju
Keyword(s):  
Exchange Rates ◽  
Trading Volume ◽  
Stock Return ◽  
Stock Exchange ◽  
Market Liquidity ◽  
Test Method ◽  
Exchange Market ◽  
Ex Post ◽  
Inflation Rates ◽  
Bound Test

This research examined the effect of market liquidity, inflation, and exchange rates on stock return in Nigerian Stock Exchange market. The researchers used ex-post facto design and employed secondary data subjected to Auto-regressive Distributive Lag (ARDL) bound test method of analysis within the period of twenty-one years. Findings reveal that in the short run, stock turnover, trading volume, exchange, and inflation rates have affected stock return positively and significantly. In the long run, market turnover has a positive effect. However, inflation and exchange rates have affected stock return negatively and significantly. Then, trading volume has a negative but insignificant effect on stock return, which is all at 5% level of significance. The researchers conclude that market liquidity, exchange, and inflation rates affect stock return. Therefore, the researchers recommend demutualization and transparent structures and adaptive method stabilization in exchange rate policies to increase stock market patronage, minimize transaction costs, and mitigate the market uncertainties.

scholarly journals Investor Sentiment in Stock Market: A Case of Pakistan Super League in Pakistan Stock Exchange

2021 ◽  
Vol 4 (2) ◽  
pp. 101-121
Author(s):  
FURQAN ULLAH ◽  
MUHAMMAD ASIF ◽  
MUHAMMAD ZAHID ◽  
FAIZA MEHREEN
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
United Arab Emirates ◽  
Behavioral Finance ◽  
Abnormal Return ◽  
Stock Exchange ◽  
Investor Sentiment ◽  
Sports Events ◽  
Investor Sentiments ◽  
Super League

This study investigates whether sentiments play any role while investors make financial decisions which results in the stock returns. The paper analyzes the major two sports events (2016-2017) of Pakistan Super League (PSL). The study utilizes the stock market data from Pakistan Stock Exchange (PSX)-100 index for the period of two financial years starting from June 2015 to July 2017. PSL T20 data is collected from the official PSL website. The empirical results of the studyshow that PSL sports events are highly statistically significant and imply that the events trigger investor sentiments (optimistic and pessimistic behaviors) in the PSX.When the whole PSL games were played on United Arab Emirates (UAE) grounds in 2016, later on, which badly affected the investor moods and resulted in a negative abnormal return in PSX-100 index. While in case of PSL event in 2017, in which only final match of the event was held in Lahore, Pakistan and resulted in a positive abnormal return in PSX-100 index. The study provides implications for different authorities such as Pakistan Cricket Board (PCB), PSX and other development authorities in order to promote such activities for the overall economic and social benefits. While founding no previous studies concerning the subject in the Pakistani context, the Scholar selected the issue to conduct a research and make a considerable contribution for investors in Pakistan with respect to PSL events and its impact on PSX. Keywords: Investor Sentiments, Stock returns, behavioral finance, Pakistan Super League, Pakistan Stock Exchange

The Impact of Investor Sentiment on Stock Market Liquidity: The Mediating Role of Investor Herding Behavior “An Empirical Study on the Egyptian Stock Exchange”

2021 ◽  
pp. 31-60
Author(s):  
A. H. El-Gayar ◽  
◽  
I. A. El-Hayes ◽  
S. Metawa ◽  
◽  
...  
Keyword(s):  
Stock Market ◽  
Empirical Study ◽  
Mutual Fund ◽  
Stock Exchange ◽  
Investor Sentiment ◽  
Theoretical Background ◽  
Market Liquidity ◽  
Indirect Impact ◽  
Stock Market Liquidity ◽  
The Impact

Behavioral finance is a recent approach in financial markets that have appeared because of the complexities long faced by the traditional or neoclassical finance theory. This paper investigates the influence of investor sentiment and herding behaviour on stock market liquidity using an empirical study on the Egyptian Stock Market. We examine the direct impact of Egyptian investor sentiment on the Egyptian Stock Market liquidity. As well as the indirect impact of the Egyptian investor sentiment on the Egyptian Stock Market liquidity through the Egyptian investor herding behaviour. Therefore, the major contribution is filling the gap of indirect sentiment-liquidity impact conflict. We use the monthly data of the EGX30 index from January 2004 up to December 2018 for building up investor sentiment index, investor herding behaviour, and stock market liquidity measures. Moreover, we are using two additional types of data (closed-end mutual fund discounts and the equity open-end mutual fund flows) that represent major measures which are used to build up investor sentiment index ranging through the same time-series of the previously mentioned period of this paper. Additionally, we use four control variables for stock market liquidity, namely market volatility, excess market return, term spread, and lag of the dependent variable, considering that the fourth variable is also used for investor herding behaviour. Our result shows that the investor sentiment index has both a direct and indirect impact on stock market liquidity. In addition, regarding event study analysis’ results, there are different signs of the direct and indirect impacts and different correlations between the research variables throughout the four different events that differ completely from the usual signs and correlations of the theoretical background.

COVID-19-induced Returns, Attention, Sentiments and Social Isolation: Evidence from Dynamic Panel Model

2021 ◽  
pp. 097215092199617
Author(s):  
Farzan Yahya ◽  
Zhang Shaohua ◽  
Ulfat Abbas ◽  
Muhammad Waqas
Keyword(s):  
Stock Returns ◽  
Social Isolation ◽  
Stock Exchange ◽  
Investor Sentiment ◽  
Good News ◽  
Dynamic Panel ◽  
Investor Attention ◽  
Dynamic Panel Model ◽  
Panel Model ◽  
Investor Sentiments

This article develops a dynamic panel model to examine the association among coronavirus outbreak, investor attention, social isolation, investor sentiments and stock returns in the German Stock exchange. The results of the two-step GMM estimator show a significant effect of coronavirus disease 2019 (COVID-19) cases on the Frankfurt Stock Exchange after controlling for calendar anomalies, meteorological conditions, country-specific factors and oil returns. Results also show that a higher level of stock returns during social isolation (lockdown period) is explained by investor attention to buy underpriced stocks. Thus, temporary social isolation enhances an investor’s ability to make better investment decisions. Investor sentiment indicators (momentum and liquidity) are also positively associated with the stock return and partially mediate the COVID-returns link, but they have no direct effect on investor attention. The stock market attracts investor attention under good news shocks (recovered cases) when investor sentiments are optimistic. Our results are robust across the transparency level of firms and their size.

scholarly journals Multidimensional Liquidity: Evidences from Indian Stock Market

2016 ◽  
Vol 5 (2) ◽  
Author(s):  
Sharad Nath Bhattacharya ◽  
Pramit Sengupta ◽  
Mousumi Bhattacharya ◽  
Basav Roychoudhury
Keyword(s):  
Machine Learning ◽  
Stock Market ◽  
Stock Markets ◽  
Trading Volume ◽  
Stock Exchange ◽  
Market Liquidity ◽  
Percentage Error ◽  
Efficiency Coefficient ◽  
Learning Tools ◽  
Indian Stock Market

Various dimensions of liquidity including breadth, depth, resiliency, tightness, immediacy are examined using BSE 500 and NIFTY 500 indices from Indian Equity market. Liquidity dynamics of the stock markets were examined using trading volume, trading probability, spread, Market Efficiency coefficient, and turnover rate as they gauge different dimensions of market liquidity. We provide evidences on the order of importance of these liquidity measures in Indian stock market using machine learning tools like Artificial Neural Network (ANN) and Random Forest (RF). Findings reveal that liquidity variables collectively explains the movements of stock markets. Both these machine learning tools performs satisfactorily in terms of mean absolute percentage error. We also evidenced lower level of liquidity in Bombay Stock Exchange (BSE) than National Stock Exchange (NSE) and findings supports the liquidity enhancement program recently initiated by BSE.

scholarly journals Analisis pengaruh informasi laba terhadap perilaku investor di pasar sekunder

2018 ◽  
Vol 22 (1) ◽  
Author(s):  
Farichah Farichah
Keyword(s):  
Stock Returns ◽  
Initial Public Offering ◽  
Trading Volume ◽  
Stock Exchange ◽  
Investment Decision ◽  
Secondary Market ◽  
Short Term ◽  
Stock Trading ◽  
Earnings Information

After going through initial public offering process, the company must trade its shares in the secondary market. Companies should conduct signaling to users, such as investors and potential investors by providing information that can be utilized as a basis for investment decision making. The information announced (which includes earnings information) is expected to have a quality that allows investors and potential investors to predict company performance in the future. This study was conducting  to investigate investors behaviour by observing trading volume, stock returns and earnings response coeffesient (ERC) in the short and long term. This study uses data and samples from the Indonesia Stock Exchange from 2006 to 2015. Hypothesis testing is done by using multiple linear regression and independent sample t test. The result showed that earnings information give effect to trading volume, stock returns, and ERC  in short term (one year after IPO)  and  long term (for 5 years or more after IPO). The next result in the short term the stock trading volume, stock returns, and ERC is greater when compared with the volume of stock trading, stock returns, and ERC in the long term.

scholarly journals Market Liquidity and Its Dimensions: Linking the Liquidity Dimensions to Sentiment Analysis through Microblogging Data

2021 ◽  
Vol 14 (9) ◽  
pp. 394
Author(s):  
Francisco Guijarro ◽  
Ismael Moya-Clemente ◽  
Jawad Saleemi
Keyword(s):  
Financial Markets ◽  
Sentiment Analysis ◽  
Trading Volume ◽  
Price Dispersion ◽  
Daily Basis ◽  
Market Liquidity ◽  
Financial Information ◽  
Counterparty Risk ◽  
Trading Costs ◽  
Investor Sentiments

Market liquidity has an immediate impact on the execution of transactions in financial markets. Informed counterparty risk is often priced into market liquidity. This study investigates whether microblogging data, as a non-financial information tool, is priced along with market liquidity dimensions. The analysis is based on the Australian Securities Exchange (ASX), and from the results, we conclude that microblogging content in pessimistic periods has a higher impact on liquidity and its dimensions. On a daily basis, pessimistic investor sentiments lead to higher trading costs, illiquidity, a larger price dispersion and a lower trading volume.

scholarly journals STOCK SPLITS AND LIQUIDITY FOR TWO MAJOR CAPITAL MARKETS FROM CENTRAL–EASTERN EUROPE

2012 ◽  
Vol 10 (2) ◽  
pp. 145-158 ◽  
Author(s):  
Józef Rudnicki
Keyword(s):  
Transaction Costs ◽  
Capital Markets ◽  
Trading Volume ◽  
Stock Exchange ◽  
Efficient Market Hypothesis ◽  
Market Liquidity ◽  
Market Model ◽  
Stock Splits ◽  
Time Interval ◽  
Stock Split

In the stock market there occur some events that contradict the efficient market hypothesis therefore they are called anomalies. One of the mysterious corporate events which has attracted the attention of numerous researchers is a stock split. I perform the review of implications of splitting the stock for market liquidity of companies listed on the Warsaw Stock Exchange and the Vienna Stock Exchange. I use event study, in particular Market model method and Market adjusted return method, to inspect the behavior of abnormal changes in daily trading volume for stock splits performed between 2000 through 2011 over a short run and assuming a longer time interval. Moreover, I juxtapose the results for both stock exchanges to examine whether the stock split phenomenon for two major capital markets from this part of Europe can be better explained by means of existing theories on stock splits. The research is aimed at analyzing the implications of the split for market liquidity, i.e. whether there occurs an immediate effect following the split as well as whether this corporate event improves the level of market liquidity over long run. Furthermore, the goal of the paper is to investigate whether the investors can cash in on the stock split, more specifically, whether they can profit from lower transaction costs. I document a significant growth in the market liquidity of stock splitting firms over 36 months following the split for both capital markets what is indicative of lower transaction costs for investors. The 1–percent significant results are consistent with the liquidity hypothesis on stock splits.

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