The Extended Opening Session of the Futures Market and Stock Price Behavior: Evidence from the Taiwan Stock Exchange

2009 ◽  
Vol 12 (03) ◽  
pp. 403-416 ◽  
Author(s):  
Hsiu-Chuan Lee ◽  
Cheng-Yi Chien ◽  
Hsiang-Lan Chen ◽  
Yen-Sheng Huang
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Price ◽  
Stock Exchange ◽  
Futures Market ◽  
Price Behavior ◽  
Taiwan Stock Exchange ◽  
Market Opening ◽  
Opening Session ◽  
Extension Period

This paper examines how the introduction of the extended opening session of the futures market affects stock price behavior around the market opening. On January 1, 2001, the Taiwan Futures Exchange (TAIFEX) extended the trading hours by opening earlier 15 minutes than the Taiwan Stock Exchange (TWSE). This change presents an opportunity to analyze how the extended opening session of futures market affects stock price behavior. Compared with the pre-extension period, the empirical results show that stock returns are less volatile and return autocorrelations are less positively correlated around the stock market opening. Moreover, overreaction for opening prices of the stock market is mitigated in the post-extension period. Finally, unexpected futures returns during the extended opening session can predict overnight stock returns. Overall, the empirical results are consistent with Foster and Viswanathan (1990) in that informed traders will trade aggressively at the market opening.

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.

Stock return autocorrelation, day of the week and volatility

2017 ◽  
Vol 16 (2) ◽  
pp. 218-238 ◽  
Author(s):  
Shah Saeed Hassan Chowdhury ◽  
M. Arifur Rahman ◽  
M. Shibley Sadique
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Price ◽  
Stock Exchange ◽  
Saudi Arabian ◽  
Content Type ◽  
Limits To Arbitrage ◽  
Portfolio Returns ◽  
Autocorrelation Structure ◽  
Day Of The Week

Purpose The main purpose of this paper is to investigate autocorrelation structure of stock and portfolio returns in a unique market setting of Saudi Arabia, where nearly all active traders are the retail individuals and the market operates under severe limits to arbitrage. Specifically, the authors examine how return autocorrelation of Saudi Arabian stock market is related to factors such as the day of the week, stock trading, performance on the preceding day and volatility. Design/methodology/approach The sample consists of the daily stock price and index data of 159 firms listed in Tadawul (Saudi Arabian Stock Exchange) for the period from January 2004 through December 2015. The methodology of Safvenblad (2000) is primarily used to investigate the autocorrelation structure of individual stock and index returns. The authors also use the Sentana and Wadhwani (1992) methodology to test for the presence of feedback traders in the Saudi stock market. Findings Results show that there is significantly positive autocorrelation in individual stock, size portfolio and market returns and that the last two are almost always larger than the first. Return autocorrelation is negatively related to firm size. Interestingly, return autocorrelation is positively related to trading frequency. For portfolios, autocorrelation of returns following a high absolute return day is significantly higher than that following a low absolute return day. Similarly, return autocorrelation during volatile periods is generally larger than that during tranquil periods. Return correlation between weekdays is usually larger than that between the first and last days of the week. Overall, the results suggest that the possible reason for positive autocorrelation in stock returns could be the presence of negative feedback traders who are engaged in frequent profit-taking activities. Originality/value This is the first paper that thoroughly investigates the autocorrelation structure of the returns of the Saudi stock market using both index and individual stock returns. As this US$583bn (as of August 21, 2014) market opened to foreign institutional investors in June 2015, the results of this paper should be of significant value for the potential uninformed foreign investors in this relatively lesser known and previously closed yet highly prospective market.

scholarly journals Assessment of the correlation between price-earnings ratio and stock market returns of universal banks in the Philippines

2019 ◽  
Vol 8 (5) ◽  
pp. 172-181
Author(s):  
Antonio Jaramillo Dayag ◽  
Fernando Trinidad
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Price ◽  
Assessment Tool ◽  
Stock Exchange ◽  
Pearson Correlation ◽  
Banking System ◽  
Price Volatility ◽  
The Philippines ◽  
Stock Market Returns

Universal banks are important economic drivers in the Philippines since they provide the financial backbone for businesses and investments. Universal banks comprise 90% of the country’s banking system resources. Eleven [11] of the twenty-one [21] universal banks in the country are listed in the Philippine Stock Exchange, and these banks are the top universal banks based on capitalization. Price to Earnings Ratio [PER] is a commonly utilized investment assessment tool and this ratio indicates how much investors are willing to pay for a stock and is calculated as the ratio of the stock price over earnings per share. Since the stock price is dictated by the stock market, this paper seeks to determine if the P/E ratio of universal banks in the Philippines is correlated to its stock returns, the implication of which is how to form an appropriate balance between stock price volatility and banks’ valuation. The paper uses panel data of the 11 listed universal banks from 2010 to 2018, using Pearson Correlation. The study resulted in a generally weak correlation, however, there were banks that exhibited strong, positive, significant correlation.

scholarly journals Information-Theoretic Measures and Modeling Stock Market Volatility: A Comparative Approach

Risks ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 89
Author(s):  
Muhammad Sheraz ◽  
Imran Nasir
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Exchange ◽  
Approximate Entropy ◽  
Market Volatility ◽  
Comparative Approach ◽  
Stock Market Volatility ◽  
Information Theoretic ◽  
Information Theoretic Measures ◽  
Garch Modeling

The volatility analysis of stock returns data is paramount in financial studies. We investigate the dynamics of volatility and randomness of the Pakistan Stock Exchange (PSX-100) and obtain insights into the behavior of investors during and before the coronavirus disease (COVID-19 pandemic). The paper aims to present the volatility estimations and quantification of the randomness of PSX-100. The methodology includes two approaches: (i) the implementation of EGARCH, GJR-GARCH, and TGARCH models to estimate the volatilities; and (ii) analysis of randomness in volatilities series, return series, and PSX-100 closing prices for pre-pandemic and pandemic period by using Shannon’s, Tsallis, approximate and sample entropies. Volatility modeling suggests the existence of the leverage effect in both the underlying periods of study. The results obtained using GARCH modeling reveal that the stock market volatility has increased during the pandemic period. However, information-theoretic results based on Shannon and Tsallis entropies do not suggest notable variation in the estimated volatilities series and closing prices. We have examined regularity and randomness based on the approximate entropy and sample entropy. We have noticed both entropies are extremely sensitive to choices of the parameters.

Value and Growth Stock Price Behavior during Stock Market Declines

2017 ◽  
Vol 26 (4) ◽  
pp. 41-52 ◽  
Author(s):  
Daniel Folkinshteyn ◽  
Gulser Meric ◽  
Ilhan Meric
Keyword(s):  
Stock Market ◽  
Stock Price ◽  
Price Behavior

Stock Market Reaction on Green-Bond Issue: Evidence from Indian Green-Bond Issuers

2021 ◽  
pp. 097226292110225
Author(s):  
Rakesh Kumar Verma ◽  
Rohit Bansal
Keyword(s):  
Stock Returns ◽  
Financial Institutions ◽  
Stock Price ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Developed Countries ◽  
Low Carbon ◽  
Bond Issue ◽  
The Government ◽  
The Impact

Purpose: A green bond is a financial instrument issued by governments, financial institutions and corporations to fund green projects, such as those involving renewable energy, green buildings, low carbon transport, etc. This study analyses the effect of green-bond issue announcement on the issuer’s stock price movement. It shows the reaction of the stock price after the issue of green bonds. Methodology: This study is based on secondary data. Green-bond issue dates have been collected from newspaper articles from different online sources, such as Business Standard, The Economic Times, Moneycontrol, etc. The closing prices of stocks have been taken from the NSE (National Stock Exchange of India Limited) website. An event window of 21 days has been fixed for the study, including the 10 days before and after the issue date. Data analysis is carried out through the event study method using the R software. Calculation of abnormal returns is done using three models: mean-adjusted returns model, market-adjusted returns model and risk-adjusted returns model. Findings: The results show that the issue of green bonds has a significant positive effect on the stock price. Returns increase after the green-bond issue announcement. Although the announcement day shows a negative return for all the samples taken for the study, the 10-day cumulative abnormal return (CAR) is positive. Thus, green-bond issues lead to positive sentiments among investors. Research implications: This research article will help the government issue more green bonds so that the proceeds can be utilized for green projects. The government should motivate corporations and financial institutions to issue more green bonds to help the economy grow. In India, very few organizations have issued a green bond. It will be beneficial if these players issue green bonds, as it will increase the firms’ value and boost returns to the investors. Originality/value: The effect of green-bond issue on stock returns has been analysed in some studies in developed countries. This is the first study to examine the impact of green-bond issue on stock returns in the Indian context, to the best of our knowledge.

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