scholarly journals The Impact of the Introduction of Index Futures on the Daily Returns Anomaly in the Ho Chi Minh Stock Exchange

2021 ◽  
Vol 9 (3) ◽  
pp. 43
Author(s):  
Loc Dong Truong ◽  
H. Swint Friday
Keyword(s):  
Stock Returns ◽  
Stock Exchange ◽  
Least Square ◽  
Conditional Heteroskedasticity ◽  
Index Futures ◽  
Futures Contract ◽  
Autoregressive Conditional Heteroskedasticity ◽  
Day Of The Week ◽  
The Impact ◽  
Daily Returns

This study investigated the impact of the introduction of the VN30-Index futures contract on the daily returns anomaly for the Ho Chi Minh Stock Exchange (HOSE). Daily returns of the VN30-Index for the period 6 February 2012 through 31 December 2019 are used in this study to ascertain the new VN30-Index futures contract influence on the day-of-the-week anomaly observed in the HOSE. To test this effect, ordinary least square (OLS), generalized autoregressive conditional heteroskedasticity [GARCH (1,1)] and exponential generalized autoregressive conditional heteroskedasticity [EGARCH (1,1)] regression models were employed. The empirical results obtained from the models support the presence of the day-of-the-week effect for the HOSE during the study period. Specifically, a negative effect was observed for Monday. However, the analysis revealed that the day-of-the-week effect was only present in stock returns for the pre-index futures period, not for the post-index futures period. These findings suggest that the introduction of the VN30-Index futures contract had a significant impact on the daily returns anomaly in Vietnam’s HOSE, providing evidence that the introduction of the index futures contract facilitated market efficiency.

GARCH AND VOLUME EFFECTS IN THE AUSTRALIAN STOCK MARKETS

2009 ◽  
Vol 05 (01) ◽  
pp. 0950005 ◽  
Author(s):  
JINGLIANG XIAO ◽  
ROBERT D BROOKS ◽  
WING-KEUNG WONG
Keyword(s):  
Stock Returns ◽  
Firm Size ◽  
Trading Volume ◽  
Explanatory Power ◽  
Garch Model ◽  
Conditional Heteroskedasticity ◽  
Autoregressive Conditional Heteroskedasticity ◽  
The Impact ◽  
Daily Returns ◽  
Volume Effects

This paper explores the relationship between volume and volatility in the Australian Stock Market in the context of a generalized autoregressive conditional heteroskedasticity (GARCH) model. In contrast to other studies who only examine the interaction of GARCH and volume effects on a small number of stocks, we examine these effects on the entire available data for the Australian All Ordinaries Index. We also emphasize on the impact of firm size and trading volume. Our results indicate that GARCH model testing and estimation is impacted by firm size and trading volume. Specifically, our analysis produces the following major findings. First, generally, daily trading volume, used as a proxy for information arrival time, is shown to have significant explanatory power regarding the variance of daily returns. Second, the actively traded stocks which may have a larger number of information arrivals per day have a larger impact of volume on the variance of daily returns. Third, we find that low trading volume and small firm lead to a higher persistence of GARCH effects in the estimated models. Fourth, unlike the elimination effect for the top most active stocks, in general, the elimination of both autoregressive conditional heteroskedasticity (ARCH) and GARCH effects by introducing the volume variable on all other stocks on average is not as much as that for the top most active stocks. Fifth, the elimination of both ARCH and GARCH effects by introducing the volume variable is higher for stocks in the largest volume and/or the largest market capitalization quartile group. Our findings imply that the earlier findings in the literature were not a statistical fluke and that, unlike most anomalies, the volume effect on volatility is not likely to be eliminated after its discovery. In addition, our findings reject the pure random walk hypothesis for stock returns.

Modeling volatility on the Karachi Stock Exchange, Pakistan

2016 ◽  
Vol 10 (3) ◽  
pp. 253-275 ◽  
Author(s):  
Shahan Akhtar ◽  
Naimat U. Khan
Keyword(s):  
Financial Crises ◽  
Stock Exchange ◽  
Small Sample ◽  
Leverage Effect ◽  
Data Series ◽  
Conditional Heteroskedasticity ◽  
Content Type ◽  
Autoregressive Conditional Heteroskedasticity ◽  
Modeling Volatility ◽  
The Impact

Purpose The current paper aims to fill a gap in the literature by analyzing the nature of volatility on the Karachi Stock Exchange (KSE) 100 index of the KSE, and develop an understanding as to which model is most suitable for measuring volatility among those used. The study contributes significantly to the literature as, compared with the limited previous studies of Pakistan undertaken in the past, it covers three types of data (i.e. daily, weekly and monthly) for the whole period from the introduction of the KSE 100 index on November 2, 1991 to December 31, 2013. In addition, to analyze the impact of global financial crises upon volatility, the data have been divided into pre-crisis (1991-2007) and post-crisis (2008-2013) periods. Design/methodology/approach This study has used an advanced set of volatility models such as autoregressive conditional heteroskedasticity [ARCH (1)], generalized autoregressive conditional heteroskedasticity [GARCH (1, 1)], GARCH in mean [GARCH-M (1, 1)], exponential GARCH [E-GARCH (1, 1)], threshold GARCH [T-GARCH (1, 1)], power GARCH [P-GARCH (1, 1)] and also a simple exponentially weighted moving average (EWMA) model. Findings The results reveal that daily, weekly and monthly return series show non-normal distribution, stationarity and volatility clustering. However, the heteroskedasticity is absent only in the monthly returns making only the EWMA model usable to measure the volatility level in the monthly series. The P-GARCH (1, 1) model proved to be a better model for modeling volatility in the case of daily returns, while the GARCH (1, 1) model proved to be the most appropriate for weekly data based on the Schwarz information criterion (SIC) and log likelihood (LL) functionality. The study shows high persistence of volatility, a mean reverting process and an absence of a risk premium in the KSE market with an insignificant leverage effect only in the case of weekly returns. However, a significant leverage effect is reported regarding the daily series of the KSE 100 index. In addition, to analyze the impact of global financial crises upon volatility, the findings show that the subperiods demonstrated a slightly low volatility and the global economic crisis did not cause a rise in volatility levels. Originality/value Previously, the literature about volatility modeling in Pakistan’s markets has been limited to a few models of relatively small sample size. The current thesis has attempted to overcome these limitations and used diverse models for three types of data series (daily, weekly and monthly). In addition, the Pakistani economy has been beset by turmoil throughout its history, experiencing a range of shocks from the mild to the extreme. This paper has measured the impact of those shocks upon the volatility levels of the KSE.

scholarly journals Impact Of Financial Crisis On Hedging Effectiveness Of Futures Contracts: Evidence From The National Stock Exchange Of India

2015 ◽  
Vol 10 (2) ◽  
pp. 69-88 ◽  
Author(s):  
Kapil Gupta ◽  
Mandeep Kaur
Keyword(s):  
Financial Crisis ◽  
Stock Exchange ◽  
Moving Average ◽  
Futures Contracts ◽  
Conditional Heteroskedasticity ◽  
Vector Autoregressive ◽  
Hedging Effectiveness ◽  
Autoregressive Conditional Heteroskedasticity ◽  
The 2008 Financial Crisis ◽  
The Impact

Abstract The present study examines the impact of the 2008 financial crisis on the hedging effectiveness of three index futures contracts traded on the National Stock Exchange of India for near, next and far month contracts over the sample period of January 2000 – June 2014. The hedge ratios were calculated using eight methods; Naive hedging, Ederington’s Model, Autoregressive Integrated Moving Average, Vector Autoregressive, Vector Error Correction Methodology, Generalized Autoregressive Conditional Heteroskedasticity, Exponential Generalized Autoregressive Conditional Heteroscedasticity and Threshold Generalized Autoregressive Conditional Heteroskedasticity. The study finds an improvement in hedging effectiveness during the post-crisis period, which implies that during the high-volatility period hedging effectiveness also improves. It was also found that near month futures contracts are a more effective tool for hedging as compared to next and far month contracts, which imply that liquidity is a more important determinant of hedging effectiveness than hedge horizons. The study also finds that a time-invariant hedge ratio is more efficient than time-variant hedging. Therefore, knowledge of sophisticated econometrical tools does not help to improve hedge effectiveness.

scholarly journals APAKAH PROFITABILITAS DAN NILAI BUKU BERDAMPAK TERHADAP RETURN SAHAM?: STUDI EMPIRIS PADA PERUSAHAAN LQ45

2019 ◽  
Author(s):  
Aldi Kurniawan ◽  
Irdha Yusra
Keyword(s):  
Stock Returns ◽  
Stock Exchange ◽  
Random Effect ◽  
Sampling Technique ◽  
Fixed Effect ◽  
Least Square ◽  
Financial Report ◽  
Panel Data Regression ◽  
Report Data ◽  
The Impact

At present, there are many options in Indonesia that can be chosen by people who have advantages and one of the investors makes a profit by investing. For investors, the capital market is a place to channel funds in the form of shares, with the hope of regaining high shares. This study aims to discuss the impact of profitability and book value on stock returns. The population in this study is the LQ45 company listed on the Indonesia Stock Exchange (IDX) per period 2013-2017. The sampling technique used a purposive sampling method and based on predetermined criteria obtained a sample of 10 companies. Financial report data is obtained from the official IDX website. The analytical method used is panel data regression analysis with the help of the application E-Views 8. The initial test is done, namely completing the Chow-Test to decide whether the method of Pooled least square or Fixed effect is used; and test the Hausman-test to decide whether the fixed effect method or random effect can be used. The results of this observation state that profitability has a positive and significant effect on stock returns and negative and significant approval book values on stock returns

Corporate Social Responsibility and Earnings Management: The Moderating Role of Family Ownership

2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Asif Saeed ◽  
Aijaz Mustafa Hashmi ◽  
Attiya Yasmin Javid
Keyword(s):  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Earnings Management ◽  
Family Firms ◽  
Negative Impact ◽  
Stock Exchange ◽  
Least Square ◽  
Family Ownership ◽  
Corporate Social ◽  
The Impact

This study aims to explore the impact of family ownership on the relationship among corporate social responsibility (CSR) and earning management (EM) in Pakistan. Data is collected from nonfinancial listed firms on Pakistan Stock Exchange (PSE) for the period 2009-2017. Our results of pooled ordinary least square regression indicate that CSR has significant negative impact on EM. Furthermore, results also indicate that association between CSR and EM is moderated by family ownership. Family firms which perform CSR activities are less involved in EM as compare to nonfamily firms perform CSR activities. This variation in behavior of EM in family and non-family firms can possibly be explained by socioemotional wealth theory. Keywords: Corporate Social Responsibility, Earnings Management, Family Ownership

DAY-OF-THE-WEEK EFFECT IN US BIOTECHNOLOGY STOCKS — DO POLICY CHANGES AND ECONOMIC CYCLES MATTER?

2016 ◽  
Vol 11 (02) ◽  
pp. 1650008
Author(s):  
SWARN CHATTERJEE ◽  
AMY HUBBLE
Keyword(s):  
Stock Returns ◽  
Small Firm ◽  
Economic Cycles ◽  
Trading Decisions ◽  
Portfolio Managers ◽  
Small Investors ◽  
Garch Processes ◽  
Day Of The Week ◽  
Firm Effect ◽  
Daily Returns

This study examines the presence of the day-of-the-week effect on daily returns of biotechnology stocks over a 16-year period from January 2002 to December 2015. Using daily returns from the NASDAQ Biotechnology Index (NBI), we find that the stock returns were the lowest on Mondays, and compared to the Mondays the stock returns were significantly higher on Wednesdays, Thursdays, and Fridays. The day-of-the-week effect on returns of biotechnology stocks remained significant even after controlling for the Fama–French and Carhart factors. Moreover, the results from using the asymmetric generalized autoregressive conditional heteroskedastic (GARCH) processes reveal that momentum and small-firm effect were positively associated with the market risk-adjusted returns of the biotechnology stocks during this period. The findings of our study suggest that active portfolio managers need to consider the day of the week, momentum, and small-firm effect when making trading decisions for biotechnology stocks. Implications for portfolio managers, small investors, scholars, and policymakers are included.

The performance of the Broad Based Black Economic Empowerment compliant listed property firms in South Africa

2016 ◽  
Vol 34 (1) ◽  
pp. 3-26 ◽  
Author(s):  
Omokolade Akinsomi ◽  
Katlego Kola ◽  
Thembelihle Ndlovu ◽  
Millicent Motloung
Keyword(s):  
Stock Returns ◽  
Factor Model ◽  
Stock Exchange ◽  
Sharpe Ratio ◽  
Economic Empowerment ◽  
Content Type ◽  
Black Economic ◽  
Black Economic Empowerment ◽  
The Government ◽  
The Impact

Purpose – The purpose of this paper is to examine the impact of Broad-Based Black Economic Empowerment (BBBEE) on the risk and returns of listed and delisted property firms on the Johannesburg Stock Exchange (JSE). The study was investigated to understand the impact of Black Economic Empowerment (BEE) property sector charter and effect of government intervention on property listed markets. Design/methodology/approach – The study examines the performance trends of the listed and delisted property firms on the JSE from January 2006 to January 2012. The data were obtained from McGregor BFA database to compute the risk and return measures of the listed and delisted property firms. The study employs a capital asset pricing model (CAPM) to derive the alpha (outperformance) and beta (risk) to examine the trend amongst the BEE and non-BEE firms, Sharpe ratio was also employed as a measurement of performance. A comparative study is employed to analyse the risks and returns between listed property firms that are BEE compliant and BEE non-compliant. Findings – Results show that there exists differences in returns and risk between BEE-compliant firms and non-BEE-compliant firms. The study shows that BEE-compliant firms have higher returns than non-BEE firms and are less risky than non-BEE firms. By establishing this relationship, this possibly affects the investor’s decision to invest in BEE firms rather than non-BBBEE firms. This study can also assist the government in strategically adjusting the policy. Research limitations/implications – This study employs a CAPM which is a single-factor model. Further study could employ a multi-factor model. Practical implications – The results of this investigation, with the effects of BEE on returns, using annualized returns, the Sharpe ratio and alpha (outperformance), results show that BEE firms perform better than non-BEE firms. These results pose several implications for investors particularly when structuring their portfolios, further study would need to examine the role of BEE on stock returns in line with other factors that affect stock returns. The results in this study have several implications for government agencies, there may be the need to monitor the effect of the BEE policies on firm returns and re-calibrate policies accordingly. Originality/value – This study investigates the performance of listed property firms on the JSE which are BEE compliant. This is the first study to investigate listed property firms which are BEE compliant.

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.

Does time-varying illiquidity matter for the Indian stock market? Evidence from high-frequency data

2021 ◽  
pp. 031289622110102
Author(s):  
Mousumi Bhattacharya ◽  
Sharad Nath Bhattacharya ◽  
Sumit Kumar Jha
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
High Frequency ◽  
Jel Classification ◽  
Exogenous Shock ◽  
Intraday Data ◽  
Day Of The Week ◽  
Holiday Effects ◽  
Indian Stock Market ◽  
The Impact

This article examines variations in illiquidity in the Indian stock market, using intraday data. Panel regression reveals prevalent day-of-the-week, month, and holiday effects in illiquidity across industries, especially during exogenous shock periods. Illiquidity fluctuations are higher during the second and third quarters. The ranking of most illiquid stocks varies, depending on whether illiquidity is measured using an adjusted or unadjusted Amihud measure. Using pooled quantile regression, we note that illiquidity plays an important asymmetric role in explaining stock returns under up- and down-market conditions in the presence of open interest and volatility. The impact of illiquidity is more severe during periods of extreme high and low returns. JEL Classification: G10, G12

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