scholarly journals Asymmetry and Persistence of Stock Returns: A Case of the Ghana Stock Exchange

2016 ◽  
Vol 5 (6) ◽  
pp. 183 ◽  
Author(s):  
Abonongo John
Keyword(s):  
Stock Returns ◽  
Stock Exchange ◽  
Ghana Stock Exchange

Stock Returns and Long-range Dependence

2019 ◽  
pp. 097215091986696
Author(s):  
Alexander Ayertey Odonkor ◽  
Emmanuel Nkrumah Ababio ◽  
Emmanuel Amoah- Darkwah ◽  
Richard Andoh
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Long Memory ◽  
Stock Exchange ◽  
Moving Average ◽  
Efficient Market Hypothesis ◽  
Conditional Heteroskedasticity ◽  
Relevant Market ◽  
Figarch Model ◽  
Ghana Stock Exchange

This article studies the long memory behaviour of stock returns on the Ghana Stock Exchange. The estimates employed are based on the daily closing prices of seven stocks on the Ghana Stock Exchange. The results of the autoregressive fractionally integrated moving average-fractionally integrated generalized autoregressive conditional heteroskedasticity (ARFIMA-FIGARCH) model suggest that the stock returns are characterized by a predictable component; this demonstrates a complete departure from the efficient market hypothesis suggesting that relevant market information was only partially reflected in the changes in stock prices. This pattern of time dependence in stock returns may allow for past information to be used to improve the predictability of future returns.

scholarly journals Investigating the Markov Property on Stock Returns: A Case Study of Ghana Stock Exchange

2014 ◽  
Vol 6 (1) ◽  
pp. 1-6
Author(s):  
Sampson Wiredu ◽  
Abubakari A. Ghaniyyu ◽  
W. Abazing Mavis
Keyword(s):  
Stock Returns ◽  
Stock Exchange ◽  
Markov Property ◽  
Ghana Stock Exchange

scholarly journals Cointegration of Stock Prices and Domestic Portfolio Diversification Opportunities: Evidence from the Ghana Stock Exchange

2017 ◽  
Vol 4 (5) ◽  
pp. 78
Author(s):  
George Amfo-Antiri ◽  
Edward Quansah
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Stock Exchange ◽  
Composite Index ◽  
Cointegration Analysis ◽  
Portfolio Diversification ◽  
Individual Investors ◽  
Long Run ◽  
Ghana Stock Exchange ◽  
Bound Test

This paper employed Engle-Granger test of cointegration and the Bound Test to explore potential domestic portfolio diversification opportunities that are available for individual investors, institutional and other portfolio managers from constructing domestic portfolios. Daily stock prices for the period 1st August, 2011 to July 29th, 2016 have been employed as well as monthly stock return from the Ghana Stock exchange. The result from the cointegration analysis indicated that most equity stocks listed on the Ghana Stock Exchange are not cointegrated with each other in the long run. In addition, majority of the stock returns are statistically insensitive to the GSE– Composite index during the period under consideration. The empirical evidence indicates that domestic investors can benefit from constructing portfolios that consist of equities from the financial sector and other non-financial sectors which are not cointegrated.

The impact of COVID-19 on stock returns of listed firms on the stock market: Ghana's experience

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kenneth Ofori-Boateng ◽  
Williams Ohemeng ◽  
Elvis Kwame Agyapong ◽  
Ben Justice Bribinti
Keyword(s):  
High Risk ◽  
Stock Returns ◽  
Stock Exchange ◽  
Risk Mitigation ◽  
Mitigation Strategies ◽  
Content Type ◽  
Negative Effect ◽  
Risk Mitigation Strategies ◽  
Ghana Stock Exchange ◽  
The Impact

PurposeIn Ghana, even though scholars and experts in the field of economics and finance have expressed their opinions and perceptions on the effect of the pandemic on the Ghana Stock Exchange, there has been no study conducted to that effect. This study, therefore, aimed at examining the impact of COVID-19 on the stock returns on the Ghana stock exchange. This would help policy makers and investors in making efficient decisions.Design/methodology/approachThe outbreak of the novel COVID-19 has been a thorn in the flesh of the world in its entirety, affecting many aspects of life including the stock market. This study, therefore, examined the impact of the outbreak on the stock returns of the Ghana Stock Exchange. The study utilized data from the All Share Prices of the Ghana stock exchange, commonly known as the Ghana stoke exchange composite index (GSECI) for analysis. The data covered the period before the outbreak of COVID-19 and during the outbreak. It was revealed that the Ghana stock exchange experienced better returns on the market before the outbreak of the virus. The outbreak of COVID-19 has led to wide variations in the market increasing the risk of investments. The exponential General Autoregressive Conditional Heteroscedasticity (EGARCH) (1, 1) model also reveals that the outbreak of COVID-19 has a significant negative effect on the returns in the market. The market in these periods of COVID-19 is highly volatile. It is recommended that investors should carefully consider risk mitigation strategies to enable them diversify their investments effectively and efficiently against the high risk associated with the market in this COVID-19 era.FindingsIt was revealed that the Ghana stock exchange experienced better returns on the market before the outbreak of the virus. The outbreak of COVID-19 has led to wide variations in the market increasing the risk of investments. The EGARCH (1, 1) model also revealed that the outbreak of COVID-19 had a significant negative effect on stock returns in the market. The market during these periods of COVID-19 was viewed as highly volatile.Research limitations/implicationsThe outbreak of COVID-19 is hence deduced to have a negative impact on the Ghana stock exchange. However, the knowledge of how the market has been affected by the disease, it is important that financial risk mitigation studies be undertaken. This goes beyond what this study has done. The study can further be expanded to include other important economic variables such as GDP, inflation, exchange rates and the likes in to the model.Practical implicationsInvestors should carefully consider risk mitigation strategies to enable them diversify their investments effectively and efficiently against the high risk associated with the market in this COVID-19 era.Social implicationsIt is also important that investors consider diversification of their investments in order to reduce the risk in their investments. It will be more appropriate for most investors to invest with companies such as banks and the telecommunications companies listed on the on the market. This is because most of the telecommunication companies in these times have taken advantage and are making good profit on their businesses. Likewise, some of the financial institutions are considered essential institution in these times. Investing in industries such as manufacturing and the oil and gas sector may be more risky.Originality/valueThe decline in economic and financial market indicators could be credited to the failure of most business entities, organizations and firms which are struggling to sustain their operations in these times of COVID-19. These also include firms listed on the Ghana stock exchange with whom investors transact their daily businesses. However, about 70% of the Ghanaian economy heavily depends on these business and firms found in the private and informal sector. According to the Ghana Statistics Service COVID-19 Business Tracker Survey, about 131,000 businesses expressed their uncertainties with the business environment and also faced the challenge of financial accessibility. The study is appropriate to unearth the true effect and offer policy interventions.

scholarly journals PENGARUH KURS, GROSS DOMESTIC PRODUCT DAN SOLVABILITAS TERHADAP RETURN SAHAM INVESTOR PADA PERUSAHAAN PERTAMBANGAN

2019 ◽  
Vol 8 (10) ◽  
pp. 6262
Author(s):  
Martina Carissa Dewi ◽  
Luh Gede Sri Artini
Keyword(s):  
Exchange Rate ◽  
Gross Domestic Product ◽  
Exchange Rates ◽  
Stock Returns ◽  
Stock Exchange ◽  
Sampling Technique ◽  
Domestic Product ◽  
Mining Company ◽  
Macroeconomic Factors ◽  
Regression Test

The level of return obtained by investors is influenced by microeconomic and macroeconomic factors. This study aims to obtain empirical evidence regarding the effect of exchange rates, Gross Domestic Product and solvency on stock returns. This research was conducted at the mining company in the coal sub-sector on the Indonesia Stock Exchange. All the coal mining sub-sector companies listed on the Stock Exchange for the period 2014-2017 used as the population. The method of determining the sample used is using a saturated sampling technique. Multiple linear regression test used as the data analysis on this research. Based on the results of the analysis of this study it was found that the exchange rate and GDP had a negative and significant effect on stock returns. The solvency proxied by DER has a positive and significant effect on stock returns. Keywords: Exchange Rate, Gross Domestic Product, Solvability and Return.

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.

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.

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