Short Term and Long Term Herding Prospects: Evidence from Pakistan Stock Exchange

2021 ◽  
pp. 119-144
Author(s):  
Shaista Jabeen ◽  
Sayyid Salman Rizavi
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Prices ◽  
Stock Exchange ◽  
Short Term ◽  
Fundamental Information ◽  
New Information ◽  
Herd Behaviour ◽  
Price Instability

The present research intends to examine the herd behaviour of investors in the Pakistan Stock Exchange (PSX). Herd behaviour in stock market is sometimes based on fundamental information, which causes quick price adjustments to new information and leads to efficient markets. Still, sometimes it is not dependent on fundamental information and results in price instability. Herding can be a short term phenomenon, but sometimes a longer time span can provide favourable outcomes for the occurrence of herd behaviour. Considering these diverse views, intraday, daily, weekly, and monthly stock prices of 528 companies listed in the PSX have been used to calculate stock returns. Market-wide herd measure, i.e. CSAD, has been used to compute the herd behaviour. Data has been investigated for autocorrelation, heteroscedasticity, and stationarity issues. Findings revealed that herding did not exist in PSX, but some sectors showed this behaviour. Herd behaviour was more likely to exist at a daily level. The tendency of occurrence of the herding phenomenon gradually decreases at intraday and weekly levels. However, herding cannot be taken as a long term phenomenon as just a single sector was evidenced about its existence at the monthly level. Herding is an inherent phenomenon that is very difficult to eliminate from the stock market completely. However, knowledge and information sharing can guide investors to improve this behaviour Keywords: Herd Behaviour, Behavioural Finance, Return Dispersions, Pakistan Stock Exchange, CSAD

scholarly journals Herd Behaviour, Short-Lived Phenomenon: Evidence from Pakistan Stock Exchange

2019 ◽  
Vol 8 (1) ◽  
pp. 51-72
Author(s):  
Shaista Jabeen ◽  
Sayyid Salman Rizavi
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Stock Exchange ◽  
Efficient Markets ◽  
Market Anomalies ◽  
Price Adjustments ◽  
Fundamental Information ◽  
New Information ◽  
Herd Behaviour ◽  
Price Instability

This research intends to investigate the herd behaviour of investors in Pakistan Stock Exchange (PSX). Previous literature claims that herd behaviour is driven from fundamental information, which causes quick price adjustments to new information and thus leads to efficient markets. However, some researchers have claimed that herd behaviour does not depend upon fundamental information, and hence, leads to price instability. For the purpose of this research, the daily closing stock prices of 528 companies listed in the PSX have been used to calculate the stock returns. The market-wide herd measure, proposed by Chiang and Zheng (2010), has been used to compute the herd behaviour. The data has been investigated for autocorrelation, heteroscedasticity, and stationarity issues. Findings revealed that herding did not exist in PSX, but some sectors did follow this behaviour. This study can help regulators to comprehensively investigate market anomalies leading to smooth market processing.

scholarly journals ANALISIS HARGA SAHAM INDEX KOMPAS 100 DENGAN PENDEKATAN ERROR CORRECTION MODEL

2021 ◽  
Vol 4 (1) ◽  
pp. 406-414
Author(s):  
Amir Hamzah
Keyword(s):  
Error Correction ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Financial Statements ◽  
Error Correction Model ◽  
Short Term ◽  
Correction Model ◽  
Positive Effect

The purpose of this research is to analyze the short term and long term relationship between ROI, EPS, PER ,inflation, SBI, exchange rate,and GDP on Stock Price. The data in this research is company financial statements which included Compas 100 Index on the Indonesia Stock Exchange. statistical analysis in this research used stasionarity test, The Classical Assumptions Test, Cointegration Test, Error Correction Model Test. This research found that partially ROI, EPS, PER variables a positive effect on stock prices in the short term and long term, KURS and SBI a positive effect on stock prices in the short term, but there is no effect in the long term, inflation and GDP do not affect the stock price both in the short term and long term. Simultaneously affected the stock prices significantly affect on stock price both in the short term and long term.

Performance and development of a thin stock market: the Stockholm Stock Exchange 1912–2017

2020 ◽  
pp. 1-19
Author(s):  
Kristian Rydqvist ◽  
Rong Guo
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Stock Selection ◽  
Data Set ◽  
Transaction Prices ◽  
Limit Orders ◽  
A Value

We estimate historical stock returns for Swedish listed companies in a newly constructed data set of daily stock prices that spans more than 100 years. Stock returns exhibit all the familiar characteristics. The growth of the public sector depressed the stock market, and the process of globalization revitalized it. Banks played an important role in the early development of the stock market. There was little trading in the past, and we examine the effects on return measurement from missing data. Stock selection and the replacement of missing transaction prices through search back procedures or limit orders make little difference to a value-weighted stock price index, while ignoring the price effects of capital operations makes a big difference.

Trading Volume and Cross-Autocorrelations of Stock Returns in Emerging Markets: Evidence from the Taiwan Stock Market

2004 ◽  
Vol 07 (04) ◽  
pp. 509-524
Author(s):  
Wen-Hsiu Kuo ◽  
Hsinan Hsu ◽  
Chwan-Yi Chiang
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Prices ◽  
Trading Volume ◽  
Price Limits ◽  
Speed Of Adjustment ◽  
New Information ◽  
Weak Evidence ◽  
Market Inefficiency ◽  
Daily Returns

This study empirically investigates the interaction between trading volume and cross-autocorrelations of stock returns in the Taiwan stock market. The result shows that returns on high trading volume portfolios lead returns on low trading volume portfolios when controlled for firm size, indicating that trading volume determines lead-lag cross-autocorrelations of stock returns. Overall, the empirical findings of this study demonstrate similar results for both monthly and daily returns, suggesting that nonsynchronrous trading is not the main reason for the lead-lag cross-autocorrelations presented in this study. Consequently, the empirical results presented here support the speed of adjustment hypothesis, and suggest that some market inefficiency exists in the Taiwan stock market. Additionally, compared with evidence of lead-lag cross-autocorrelations in the larger, less regulated US stock market, as examined by Chordia and Swaminathan (2000), Taiwan stock market displays less evidence of VARs and Dimson beta regressions. We conjecture that this weak evidence may result from the regulations limiting daily price movements in the Taiwan stock market. Although the price limits policy lowers risk and stabilizes stock prices, it also prevents stock prices and trading volume from instantaneously and fully reflecting new information.

scholarly journals Mathematical Analysis Method for Stock Market Using MA and KDJ Indicator

2019 ◽  
Vol 4 (2) ◽  
pp. 21 ◽  
Author(s):  
Man Yuan
Keyword(s):  
Stock Market ◽  
Inflation Rate ◽  
Stock Exchange ◽  
Rapid Development ◽  
Short Term ◽  
Important Position ◽  
Long Term Trend ◽  
Term Analysis ◽  
Capital Transaction

With the rapid development of Economic Globalization as well as international trade and capital transaction, stock market take a more and more important position in the finance analysis.In this thesis, I combined the MA the KDJ, MA for long term trend analysis and KDJ for short term analysis. First I introduced MA and KDJ separately, their strength and weakness. Then I try to put them together, adjust the parameters to make them suitable for Shanghai Stock Exchange Composite Index.Then I use my model to simulate transaction in real world, estimate the rate of return and comparing with the stocks’ holding rate and inflation rate. The result is pleasant. At last, I give a conclusion and a further advice to this model.

scholarly journals Long and Short-term Volatility Comovements in the East Asian Stock

2017 ◽  
Vol 4 (3) ◽  
pp. 14
Author(s):  
Jin Yong Yang ◽  
Sang-Heon Lee ◽  
In-Sung Yeo
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
East Asia ◽  
Stock Returns ◽  
East Asian ◽  
Short Term ◽  
Volatility Clustering ◽  
Volatility Model ◽  
Starting Point

This study analyzed volatility comovement and contagion in the stock markets of four countries (China, Japan, Korea, and Taiwan) in East Asia, which are closely connected with each other geographically and economically in terms of short-term and long-term perspectives. The volatility of stock returns has complex properties of not only volatility clustering, but also long memory, regime change, and substantial outliers. This study reviewed the volatility comovement and contagion in a stock market from long-term and short-term perspectives with the Bivariate Markov Switching Multifractal (BMSM) volatility model that is known for explaining such characteristics well, in spite of using small number of parameters. The empirical analysis results are as follows: China has no significant correlation with the other three countries. Therefore, China stock market is regarded as isolated or segmented market. The influence of the financial crisis on East Asian countries varies depending on the country. Regardless of the starting point of the crisis, Korea and Taiwan are shown to be vulnerable to external impact, compared to China and Japan. From the perspective of the nature of crisis, financial crisis that occurred in 1997 in East Asia and South Europe in 2011 were identified as local shocks as they had an impact on only a few countries, while the global crisis in 2008 was identified as global shock because it caused significant short-term and/or mid and long-term volatility of all countries.

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.

Dynamic Relationship Between Stock Market Sector Indices and Macroeconomic Variables in India

2019 ◽  
Vol 1 (2) ◽  
pp. 31-41
Author(s):  
Neeru Gupta ◽  
Ashish Kumar
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Positive Relationship ◽  
Short Term ◽  
Macroeconomic Factors ◽  
Macroeconomic Variables ◽  
Market Sector ◽  
Long Run ◽  
Integration Test

This study investigates the long-term and short-term relationships between selected macroeconomic variables and the selected Indian stock market sector indices over the period of 2010 to 2017. The Johansen Co-integration Test, the Vector error correction model (VECM), is applied to calculate the long-term and short-term relationship between sector indices and macroeconomic variables. It is found that stock prices are exposed to macroeconomic factors, but the level of sensitivity is different in different sectors. Out of five sectors taken in the study, it is found that only the realty sector has long run relationship with macroeconomic variables. Other sectors have no long run relationship with macroeconomic variables. Along with this, it is also found that the Auto index has a significant short-term positive relationship with gold prices and the FMCG sector index has a significant short-term positive relationship with industrial production. The consumer price index and exchange rate have significant short run relationship with realty sector index.

scholarly journals DAILY VARIATION AND PREDICTING STOCK MARKET RETURNS FOR THE FRANKFURTER BÖRSE (STOCK MARKET)

2008 ◽  
Vol 9 (3) ◽  
pp. 189-198 ◽  
Author(s):  
Jeffrey E. Jarrett ◽  
Janne Schilling
Keyword(s):  
Time Series ◽  
Stock Market ◽  
Stock Returns ◽  
Stock Prices ◽  
Stock Exchange ◽  
Arima Model ◽  
Unit Root Test ◽  
Unit Roots ◽  
Stock Market Returns ◽  
Daily Stock Returns

In this article we test the random walk hypothesis in the German daily stock prices by means of a unit root test and the development of an ARIMA model for prediction. The results show that the time series of daily stock returns for a stratified random sample of German firms listed on the stock exchange of Frankfurt exhibit unit roots. Also, we find that one may predict changes in the returns to these listed stocks. These time series exhibit properties which are forecast able and provide the intelligent data analysts’ methods to better predict the directive of individual stock returns for listed German firms. The results of this study, though different from most other studies of other stock markets, indicate the Frankfurt stock market behaves in similar ways to North American, other European and Asian markets previously studied in the same manner.

Market States and Momentum: Evidence from the Dhaka Stock Exchange

2017 ◽  
Vol 20 (02) ◽  
pp. 1750011 ◽  
Author(s):  
Mostafa Saidur Rahim Khan
Keyword(s):  
Stock Returns ◽  
Stock Exchange ◽  
Market Performance ◽  
Regression Coefficients ◽  
Nonlinear Relationship ◽  
Momentum Effect ◽  
Short Term ◽  
Momentum Profits

This study examines the momentum effect in the Dhaka Stock Exchange (DSE) listed stock returns on the basis of market states. Momentum profits are found to be significantly positive in UP market states but insignificant in DOWN market states. Momentum profits evident in UP market states are also found to revert in the long term. The evidence of short term momentum and long term reversal hold true even after adjusting for risks. In addition to short-term momentum and long-term reversal, regression coefficients also provide evidence for a positive but nonlinear relationship between momentum profits and market states. Maximum momentum profits are found at the median market performance not at the peak. Findings of this study suggest that investors’ overreaction causes momentum profits in the DSE.

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