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

2021 ◽  
pp. 097226292110225
Author(s):  
Rakesh Kumar Verma ◽  
Rohit Bansal

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.

2021 ◽  
Vol 3 (1) ◽  
pp. 13-26
Author(s):  
Muhammad Saeed ◽  
Ijaz Ahmad ◽  
Muhammad Ahmad Usman

The catastrophe that the world is now facing in the form of COVID-19, has affected most of the world economies and financial markets as a result of lockdown, travelling restrictions, and social distances. The present study attempted to investigate the effects of COVID-19 on the stock returns of the Pakistan Stock Exchange. The data employed comprises daily prices of Pakistan Stock Exchange, the daily value of exchange rate over the period 01 January 2011 to 30 April 2021, and a dummy variable for COVID-19 which takes 1 for the period during COVID-19 and 0 for the period before. The data were sourced from the Karachi Stock Exchange website, National Institute of Health Sciences Pakistan, and State Bank of Pakistan. We applied the autoregressive conditional heteroskedastic (ARCH) and the associate generalized autoregressive conditionally heteroskedastic (GARCH) approaches to analyze the impact. Our findings revealed that a negative relationship exists between our variables of interest with mean returns and a positive relationship with the volatility of the KSE-100 index. This implies that the COVID-19 pandemic has affected the stock price and increases the volatility of the KSE-100 index, and further affects the financial system. The study recommends that an urgent and powerful response is needed on the part of the government,including strong measures to prevent a severe stock market crash in Pakistan in near future.


2016 ◽  
Vol 34 (1) ◽  
pp. 3-26 ◽  
Author(s):  
Omokolade Akinsomi ◽  
Katlego Kola ◽  
Thembelihle Ndlovu ◽  
Millicent Motloung

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.


2012 ◽  
Vol 3 (2) ◽  
pp. 29
Author(s):  
A. F. M. Mainul Ahsan ◽  
Mohammad Osman Gani ◽  
Md. Bokhtiar Hasan

Officially margin requirements in bourses in Bangladesh were initiated on April 28, 1999, to limit the amount of credit available for the purpose of buying stocks. The goal of this paper is to measure the impact of changing margin requirement on stock returns' volatility in Dhaka Stock Exchange (DSE). The impact of margin requirement on stock price volatility has been extensively studied with mixed and ambiguous results. Using daily stock returns, we found mixed evidence that SEC's margin requirements have significant impact on market volatility in DSE.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rana Bayo Flees ◽  
Sulaiman Mouselli

Purpose This paper aims to investigate the impact of qualified audit opinions on the returns of stocks listed at Amman Stock Exchange (ASE) after the introduction of the recent amendments by the International Auditing and Assurance Standard Board (IAASB) on audits reporting and conclusions. It further investigates if results differ between first time qualified and sequenced qualifications, and between plain qualified opinion and qualifications with going concern. Design/methodology/approach Audit opinions’ announcements and stock returns data are collected from companies’ annual reports for the fiscal years 2016 to 2019 while stock returns are computed from stock closing prices published at ASE website. The authors apply the event study approach and use the market model to calculate normal returns. Cumulative abnormal returns (CARs) and average abnormal returns (AARs) are computed for all qualified audit opinions’ announcements. Findings The empirical evidence suggests that investors at ASE do not react to qualified audit opinions announcements. That is, the authors find an insignificant impact of qualified audit opinion announcements on stock returns using both CAR and AAR estimates. The results are robust to first time and sequenced qualifications, and for qualifications with going concern. Results are also robust to the use of risk adjusted market model. Research limitations/implications The insignificant impact of qualified audit opinions on stock returns have two potential conflicting research implications. First, the new amendments introduced to auditors’ report made them more informative and reduce the negative signals contained in the qualified opinions. That is, investors are now aware of the real causes of qualifications and not overreacting to the qualified opinion. Second, the documented insignificant impact confirms that ASE is not a semi-strong form efficient. Practical implications The apparent excessive use of qualifications should ring the bell on whether auditors misuse their power or companies are really in trouble. Hence, the Jordanian regulatory bodies need to warn auditors against the excessive use of qualifications on the one hand, and to raise the awareness of investors on the implications of auditors’ opinions on the other hand. Originality/value This study is innovative in twofold. First, it explores the impact of qualified audit opinions on stock returns after the introduction of new amendments by IAASB at ASE. In addition, it uses event study approach and distinguishes between first time qualified and sequenced qualifications, and between plain qualified opinion and qualifications with going concern. The results are consistent with efficient market theory and behavioral finance explanations.


2020 ◽  
pp. 097215092095727
Author(s):  
Bhanwar Singh ◽  
Rosy Dhall ◽  
Sahil Narang ◽  
Savita Rawat

This study examines the impact of the COVID-19 outbreak on the stock markets of G-20 countries. We use an event study methodology to measure abnormal returns (ARs) and panel data regression to explain the causes of ARs. Our sample consists of indices in G-20 countries. The observed window comprises 58 days post the COVID-19 outbreak news release in the international media, and the estimation window consists of 150 days before the event date. We find statistically significant negative ARs in the four sub-event windows during the 58 days. Negative ARs are significant for developing as well as developed countries. The findings of this study reveal that cumulative average abnormal return (CAAR) from day 0 to day 43, ranging from –0.70 per cent to –42.69 per cent, is a consequence of increased panic in the stock markets resulting from an increased number of COVID-19 positive cases in the G-20 countries. From day 43 to day 57, CAAR ranging from –42.69 per cent to –29.77 per cent indicates the recovery of stock markets after a major stock price correction due to COVID-19. Additionally, the results of panel data analysis confirm the recovery of stock markets from the negative impact of COVID-19.


2017 ◽  
Vol 16 (1) ◽  
pp. 29-60 ◽  
Author(s):  
Sadaf Anwar ◽  
Shveta Singh ◽  
P. K. Jain

According to a recent survey by McKinsey and Company, the Indian manufacturing sector is expected to touch US$ 1 trillion by 2025.This study analyses the impact of the announcement of cash dividends on the stock price returns of the manufacturing companies listed on Bombay Stock Exchange using event study methodology. Further, it explores whether the US financial crisis recession impacted average abnormal returns (AARs) in the period of study. The empirical results show that cash dividend announcements have positive AARs. Overall, the results lend support to the signalling and informational content hypotheses of dividends. The paired samples t-test indicates a significant difference in the mean values of AARs in the pre-and post-recession phases, highlighting the impact of recession.


Author(s):  
Masaki Kudo ◽  
Yong Jae Ko ◽  
Matthew Walker ◽  
Daniel P Connaughton

The purpose of this study was to examine stock price abnormal returns following title sponsorship announcement and event date of NASCAR, the PGA Tour, and the LPGA Tour. For this purpose, the authors used event study analysis where the analysis measures the impact that a specific event has on stock prices by comparing actual stock returns to estimated returns (Spais & Filis, 2008). An event study analysis demonstrated that title sponsors for the LPGA Tour and NASCAR garnered significant stock price increases on both the announcement date and the event date. The moderator tests suggested that high image congruence and high-technology related sponsorships assumed a key role in stock price increases.


Author(s):  
May Mulyaningsih ◽  
◽  
Sri Hartini Sri Hartini ◽  
Resta Anggraeni ◽  
Denis Putra Mahendra ◽  
...  

Covid-19 is an international pandemic that has paralyzed the national economic sector. This study aims to analyze the impact of Covid-19 on stock’s abnormal return in cigarette sub sector companies listed on the Indonesia Stock Exchange in the January to May 2020 period. The population of this study is 5 cigarette sub sector companies listed on the Indonesia Stock Exchange in 2020. The research sample selection uses census method so as to obtain 5 sample companies with an observation period of 5 months (January to May 2020). Secondary data in this study regarding stock’s abnormal returns with actual return and market return proxies. Data obtained from the company's daily stock price and composite stock price index. Descriptive statistical analysis, data normality test analysis and hypothesis test analysis are processed using SPSS 25. Statistical test with paired sample t test showed no significant difference in abnormal return between the period of 52 days before and when WFH with a significant level of 95% (α = 0.05). From the SPSS test results it is known that the significance value obtained is equal to 0.911. When compared with the significance value that has been set. The value is greater (α> 0.05). So H1 which states there are differences in stock’s abnormal returns before and during the WFH Covid-19 is rejected.


2020 ◽  
Vol 17 (2) ◽  
pp. 389-396
Author(s):  
Do Thi Van Trang ◽  
Dinh Hong Linh

This article investigates the impact of earnings management on market liquidity measured by the depth of the market. Managers have desired to provide amazing performance of companies, manage their earnings through non-discretionary accruals. Consequently, investors have trouble evaluating the stock value and misunderstanding of the market liquidity because of manipulated information.To this aim, the fixed-effect model (FEM) is implemented to analyze the financial information of 170 listed firms on the Vietnam Stock Exchange over the period 2013–2016. The empirical results emphasized that market liquidity is influenced by earnings management that means the higher level of earnings management, the better equity liquidity. The findings provide additional insight into the determinants of stock liquidity such as earnings management, firm size, daily trading dollar volume of stock, average daily trading dollar volume of the firm, daily returns of stock, daily stock returns, average closing stock price of the firm.


2019 ◽  
pp. 045-052
Author(s):  
Abu Bakar Akbar

This study was conducted to determine the effect of the soundness of banking financial institutions variable as measured by Return on Assets, Net Interest Margin, and Capital Adequacy Ratio on share prices at government banks in the Indonesia Stock Exchange for the period 2008-2015. The population of this study is the Government commercial banks consisting of BRI Bank, BNI Bank, BTN Bank, and Bank Mandiri. The sample of this study is the assessment of the soundness of government commercial banks on stock prices, with the scope of the assessment covering the factors of ROA, NIM, and CAR. The sample was obtained through the publication of 2008-2015 annual financial statements totaling 32 data. The analysis technique uses multiple linear regression analysis, while the measurement tool uses t test, F test, and the coefficient of determination (R2) test. The results showed that the ROA variable had a positive and significant effect on stock prices, the NIM variable had a negative and significant effect on stock prices, the CAR variable had a positive and significant effect on stock prices at government commercial banks in the Indonesia Stock Exchange.


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