scholarly journals The Effects of Pandemic Event on the Stock Exchange of Thailand

Economies ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 90 ◽  
Author(s):  
Kamphol Panyagometh
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Market Volatility ◽  
Idiosyncratic Volatility ◽  
Economic Activities ◽  
Event Window ◽  
Global Pandemic ◽  
Stock Exchange Of Thailand

The unprecedented global pandemic of COVID-19 has greatly impacted the stock market in terms of both price reactions and the influences of volatility. Using a sample of 46 stocks listed in the Stock Exchange of Thailand, in this paper, an event study technique is developed considering idiosyncratic volatility to analyze the reactions of stock prices and market volatility in Thailand during the period of the pandemic. The empirical results suggest that most securities in the Thai stock market have been adversely affected by the pandemic, as reflected in the abnormal returns compared to the period before the COVID-19 outbreak. This is mainly attributable to the curtailed economic activities induced by the pandemic as well as policy responses such as social distancing, quarantine and temporary market shutdown. Nevertheless, stocks in different sectors have been shown to have varied in terms of price responses, as some businesses may have benefitted from the pandemic. In terms of market volatility, the cumulated abnormal volatility (CAV) calculated in the paper suggests that volatility in the Stock Exchange of Thailand (SET) was significantly higher during the event window of COVID-19.

AN ANALYSIS OF ABNORMAL RETURNS ASSOCIATED WITH STOCK SPLIT

2021 ◽  
pp. 1-14
Author(s):  
JYOTI PANDEY ◽  
VINAY KANDPAL ◽  
NEERAJ NAUTIYAL
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Market Model ◽  
Stock Splits ◽  
Event Window ◽  
Stock Split ◽  
Secondary Information ◽  
The Impact

A stock split is when a company’s outstanding shares are divided into multiple shares by issuing more shares to current shareholders without eroding their stake’s value. The company typically takes these actions to increase liquidity and marketability, lower stock prices, attract new investors and so on. The purpose of this study is to examine the impact of stock splits on the stock returns during the study period. Companies listed on the Bombay Stock Exchange (BSE) and those included in the S&P BSE 500 Index are included in the stock split data. The study period covers 14 years, between 2008 and 2021. Market model event study methodology is being employed to analyze the average abnormal returns (AARs), cumulative abnormal returns (CARs) and cumulative AAR (CAARs) using an event window period consisting of 31 days ([Formula: see text]). The study is largely based on secondary information from the CMIE Prowess IQ Database and the official BSE website. The [Formula: see text]-test, mean and standard deviation were used to investigate the influence of stock split announcements on share prices and the performance of stock splits before and after the announcement. The study found that on ([Formula: see text]), ([Formula: see text]), ([Formula: see text]) and ([Formula: see text]) and on the day of the announcement ([Formula: see text]), the market reacted favorably with significant positive abnormal returns. On ([Formula: see text]) and ([Formula: see text]) days, however, there were significant negative abnormal returns. The null hypothesis is accepted as the CAR for the whole 31-day event window, which is 0.0221, with a [Formula: see text]-statistic of 1.692, which is insignificant.

scholarly journals Stock Price Reactions to Publications of Financial Statements: Evidence from the Moscow Stock Exchange

2021 ◽  
Vol 15 (1) ◽  
pp. 19-36
Author(s):  
Parmenas Njoroge ◽  
Michaela Baumann ◽  
Michael Baumann ◽  
Dmitry Shevchenko
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Financial Statements ◽  
New Information ◽  
Russian Stock Market ◽  
Non Gaussian ◽  
The Impact

This paper analyses the effects of financial statements on the efficiency of the Russian stock market. Specifically, we analyse the impact of financial reporting on stock prices of the firms listed on the Moscow Stock Exchange. By means of the widely used event study method, which dates back to Ball and Brown [1], we analyse how corporate news publication affects stock prices. Our research analyses 1000 samples, each consisting of 30 events, independent of the underlying stocks/firms and analyses the relation between the behaviour of the share prices and the release of the firms’ annual, quarterly, and unscheduled financial statements. We use the daily stock price data of 56 components of the Russia Trading System Index from the years 2014 to 2020 in order to analyse the relation between the behaviour of the shares’ prices and the releases of the firms’ annual, quarterly, and unscheduled financial statements. Using an ordinary least squares market model, we estimate the market parameters and especially the so-called normal returns, i.e. benchmark values. With this, we calculate the abnormal returns, i.e. the price changes caused by the events cf. [1; 2]. We perform several statistical tests for non-Gaussian distribution of these abnormal returns and find that there is a significantly non-Gaussian relationship between the publication of financial statements and the prices of the shares, which should not be the case in an efficient market [2]. Our results indicate that stock price volatility on the publication of financial statements may be caused by some information asymmetry, and demonstrate that the Russian stock market responds significantly to new information. Thus, we discuss recommendations to improve the information content of financial statements in Russia. This means analysts and fund managers can use new information to predict future stock returns and, thus, construct profitable portfolios.

scholarly journals The Impact of COVID-19 on the Stock Price of Socially Responsible Enterprises: An Empirical Study in Taiwan Stock Market

2021 ◽  
Vol 18 (4) ◽  
pp. 1398
Author(s):  
Kuo-Jung Lee ◽  
Su-Lien Lu
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Abnormal Returns ◽  
Recovery Phase ◽  
Socially Responsible ◽  
Cumulative Impact ◽  
Study Approach ◽  
Price Performance ◽  
The Impact

This study examines the impact of the COVID-19 outbreak on the Taiwan stock market and investigates whether companies with a commitment to corporate social responsibility (CSR) were less affected. This study uses a selection of companies provided by CommonWealth magazine to classify the listed companies in Taiwan as CSR and non-CSR companies. The event study approach is applied to examine the change in the stock prices of CSR companies after the first COVID-19 outbreak in Taiwan. The empirical results indicate that the stock prices of all companies generated significantly negative abnormal returns and negative cumulative abnormal returns after the outbreak. Compared with all companies and with non-CSR companies, CSR companies were less affected by the outbreak; their stock prices were relatively resistant to the fall and they recovered faster. In addition, the cumulative impact of the COVID-19 on the stock prices of CSR companies is smaller than that of non-CSR companies on both short- and long-term bases. However, the stock price performance of non-CSR companies was not weaker than that of CSR companies during times when the impact of the pandemic was lower or during the price recovery phase.

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.

Studying the Effect of Changing the Managing Director on the Abnormal Returns of Shares of Companies Listed on the Iraqi Stock Exchange

2021 ◽  
Vol 39 (11) ◽  
Author(s):  
Hussein Hasan ◽  
Hudaa Nadhim Khalbas ◽  
Farqad Mohammed Bakr AL Saadi
Keyword(s):  
Stock Returns ◽  
Significant Relationship ◽  
Stock Prices ◽  
Market Reaction ◽  
Stock Exchange ◽  
Hypothesis Test ◽  
Abnormal Returns ◽  
The Other ◽  
Other Hand ◽  
Abnormal Stock Returns

The aim of this research is to study the market reaction to the change of the managing director and how this change affects the abnormal returns of the shares. The research is based on the information published by the companies listed on the Iraq Stock Exchange, and 35 companies were selected for the period from 2015 to 2019. The results of the hypothesis test for this study show that there is a negative and significant relationship between the change of the managing director and abnormal stock returns. On the other hand, investors undervalue stock prices when changing CEOs. As a result, the stock returns are less than expected.

scholarly journals Financial contagion: The impact of the volatility of global stock exchanges on the Lima-Peru Stock Exchange

2020 ◽  
Vol 1 (1) ◽  
pp. 13-27
Author(s):  
Pedro Pablo Chambi Condori
Keyword(s):  
Stock Market ◽  
Financial Markets ◽  
Stock Exchange ◽  
Market Volatility ◽  
Financial Contagion ◽  
Stock Market Volatility ◽  
Important Indicator ◽  
Dynamic Correlation ◽  
High Volatility ◽  
The Impact

What happens in the international financial markets in terms of volatility, have an impact on the results of the local stock market financial markets, as a result of the spread and transmission of larger stock market volatility to smaller markets such as the Peruvian, assertion that goes in accordance with the results obtained in the study in reference. The statistical evaluation of econometric models, suggest that the model obtained can be used for forecasting volatility expected in the very short term, very important estimates for agents involved, because these models can contribute to properly align the attitude to be adopted in certain circumstances of high volatility, for example in the input, output, refuge or permanence in the markets and also in the selection of best steps and in the structuring of the portfolio of investment with equity and additionally you can view through the correlation on which markets is can or not act and consequently the best results of profitability in the equity markets. This work comprises four well-defined sections; a brief history of the financial volatility of the last 15 years, a tight summary of the background and a dense summary of the methodology used in the process of the study, exposure of the results obtained and the declaration of the main conclusions which led us mention research, which allows writing, evidence of transmission and spread of the larger stock markets toward the Peruvian stock market volatility, as in the case of the American market to the market Peruvian stock market with the coefficient of dynamic correlation of 0.32, followed by the Spanish market and the market of China. Additionally, the coefficient of interrelation found by means of the model dcc mgarch is a very important indicator in the structure of portfolios of investment with instruments that they quote on the financial global markets.

scholarly journals Random Walk Investigation in Indian Market with special reference to S&P Nifty – Fifty Stocks

2015 ◽  
Vol 4 (4) ◽  
pp. 52-61
Author(s):  
Tamilselvan Manickam ◽  
R Madhumitha
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Empirical Support ◽  
Weak Form ◽  
Indian Market ◽  
Price Series ◽  
Stock Market Efficiency ◽  
Indian Stock Market ◽  
Weak Form Efficiency

The competence of a financial system is entirely depending upon the stock market efficiency. The gradual growth of equity investor’s participation is inevitable to enrich the overall growth of emerging economies.Hence the necessity is felt to provide an empirical support to the investing community. For the purpose, this study attempts to examine the weak-form efficiency of Indian stock market – National Stock Exchange (NSE). The study has used the daily closing price of the Nifty fifty stocks from 3rdJanuary 2011 to 24thApril 2015. To test the weak form efficiency both parametric and non-parametric tests called Autocorrelation, Augmented Dicky Fuller test, and Runs Test were performed.  The study reveals that 39 stocks of NSE-Nifty Fifty are found to be weak form inefficient, so that the investors can formulate trading strategies to gain abnormal returns. The Index and 10 stocks are found to be weak form efficient during the study period since the price series found to be autocorrelation existence.

scholarly journals Impacto dos Ratings de crédito nas ações de empresas de capital aberto no Brasil

2017 ◽  
Vol 16 (2) ◽  
pp. 573-602
Author(s):  
Rafaela Augusta Cunha Silveira ◽  
Renata Turola Takamatsu ◽  
Bruna Camargos Avelino
Keyword(s):  
Stock Prices ◽  
Credit Rating ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Final Analysis ◽  
Share Prices ◽  
New Information ◽  
Agency Issues ◽  
Study Methodology ◽  
The Impact

Resumo O rating de crédito expressa uma opinião, por intermédio de escalas, sobre a qualidade do crédito de empresas, utilizado-a como medida de avaliação de risco no mercado. Agências de classificação de risco de crédito, como a Moody’s, divulgam os ratings que atribuem às empresas. Primeiramente, essas agências emitem o new rating, que representa o primeiro rating da companhia, e, posteriormente, essa emissão pode apresentar variações, denominadas upgrades e downgrades, relativas a boas e más notícias, respectivamente. Além disso, os ratings podem ser colocados em uma Watchlist quando, em breve, pode haver uma mudança do rating para downgrade ou para upgrade. O objetivo com este estudo consistiu, diante do que foi tratado, em abordar o impacto do rating de crédito sobre os preços das ações de empresas listadas na bolsa de valores brasileira. Para alcançar o objetivo proposto, foi analisada uma amostra de 44 empresas comercializadas na BM&FBovespa e 65 ratings nacionais de longo prazo emitidos pela Moody’s entre 2000 e 2015. Utilizou-se a metodologia de estudo de eventos, com os retornos normais calculados pelo modelo de retornos ajustados ao risco e ao mercado, e o Teste-F e o Teste-T para verificar a significância dos resultados. As análises finais evidenciaram que os preços das ações não são afetados de forma significativa pelas divulgações dos new ratings, downgrades, upgrades, on watch – possible downgrades e on watch – possible upgrades em nenhuma janela do evento, indicando que os ratings, para a amostra analisada, não trazem novas informações ao mercado.Palavras-chave: Ações. Rating. Estudo de eventos. Retornos anormais. Abstract Credit ratings are used as a mean to investors get new information on the companies by reducing the information asymmetry in the market. Thus, the rating is an important mean of business information with investors, enabling share prices relating to companies react to it. Branches of credit rating as Moody's, disclose the ratings they assign to companies. First, the agency issues the new rating, which represents the company's first rating, then this issue may vary, upgrades and downgrades calls relating to good and bad news respectively. In addition, the ratings could be placed in a Watchlist when, soon there may be a change to the rating downgrade or upgrade. The purpose of this study was to discuss the impact that the credit rating has on stock prices of companies listed on the Brazilian stock exchange. For a sample of 44 companies traded on BM&FBovespa and 65 long-term national ratings issued by Moody's between 2000 and 2015, we used the event study methodology, with normal returns calculated by the model of returns adjusted for risk and market the F-Test and T-Test to test the significance of the results. The final analysis showed that stock prices are not significantly affected by the disclosures of new ratings, downgrades, upgrades, on watch – possible downgrades and on watch – possible upgrades in any event window, indicating that the ratings do not bring new information to the market.Keywords: Stocks. Rating. Event studies. Abnormal returns.

scholarly journals Presidential Election Results and Stock Market Performance: Evidence From Nigeria

2018 ◽  
Vol 5 (2) ◽  
pp. 117
Author(s):  
A.E. Osuala ◽  
U.A. Onoh ◽  
G.U. Nwansi
Keyword(s):  
Stock Market ◽  
Presidential Election ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Secondary Data ◽  
Election Result ◽  
Stock Market Performance ◽  
Event Date ◽  
Study Methodology ◽  
Election Results

The study investigates the effect of Presidential election results on the performance of an emerging stock market using the case of the 2011 and 2015 Presidential elections in Nigeria. Adopting Event Study methodology to analyse the secondary data obtained from the Nigerian Stock Exchange (NSE) and some national dailies, the results of the study suggest that the 2011 presidential election result had negative significant impact on the performance of the stock market. On the other hand, the 2015 Presidential election result had positive but insignificant impact on the stock market as evidenced by the average and cumulative abnormal returns on the event date and one day post-event date- an indication that the result of the 2015 Presidential election was a welcomed development as leadership changed from PDP to All Progressives Congress (APC).

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