scholarly journals The Impact of Merger and Acquisition Firms on Stock Market Bubble

2019 ◽  
Vol IV (I) ◽  
pp. 335-342
Author(s):  
Waleed Khalid ◽  
Kashif Ur Rehman ◽  
Muhammad Kashif

In this research, we have endeavored to ascertain how the Merger & Acquisition firms effect the Pakistani stock market (PSX) during all stages of bubble periods. The regression results of “transaction multiples” and “inverse transaction multiples” show that the trading of the securities of Merger & Acquisition firms has increased in all stages of bubble periods less crash period where they decreased. The regression results have also revealed that Pakistani investors in the stock market carry a “weak financial knowledge & financial risk distress management” & they prefer market manipulation for discounting & therefore, they are adversely hit market manipulations in the stock exchange while trading securities. Resultantly, managerial incentives, as well as cost of capital of Merger & Acquisition firms, stand increased with the help of relevance of accounting, Earnings manipulation & by exercise Investing Activities.

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Babatunde Akinmade ◽  
Festus Fatai Adedoyin ◽  
Festus Victor Bekun

2018 ◽  
Vol 7 (3) ◽  
pp. 332-346
Author(s):  
Divya Aggarwal ◽  
Pitabas Mohanty

Purpose The purpose of this paper is to analyse the impact of Indian investor sentiments on contemporaneous stock returns of Bombay Stock Exchange, National Stock Exchange and various sectoral indices in India by developing a sentiment index. Design/methodology/approach The study uses principal component analysis to develop a sentiment index as a proxy for Indian stock market sentiments over a time frame from April 1996 to January 2017. It uses an exploratory approach to identify relevant proxies in building a sentiment index using indirect market measures and macro variables of Indian and US markets. Findings The study finds that there is a significant positive correlation between the sentiment index and stock index returns. Sectors which are more dependent on institutional fund flows show a significant impact of the change in sentiments on their respective sectoral indices. Research limitations/implications The study has used data at a monthly frequency. Analysing higher frequency data can explain short-term temporal dynamics between sentiments and returns better. Further studies can be done to explore whether sentiments can be used to predict stock returns. Practical implications The results imply that one can develop profitable trading strategies by investing in sectors like metals and capital goods, which are more susceptible to generate positive returns when the sentiment index is high. Originality/value The study supplements the existing literature on the impact of investor sentiments on contemporaneous stock returns in the context of a developing market. It identifies relevant proxies of investor sentiments for the Indian stock market.


2014 ◽  
Vol 8 (4) ◽  
pp. 105-140 ◽  
Author(s):  
Dionigi Gerace ◽  
Charles Chew ◽  
Christopher Whittaker ◽  
Paul Mazzola

2020 ◽  
Vol 1 (1) ◽  
pp. 13-27
Author(s):  
Pedro Pablo Chambi Condori

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.


2020 ◽  
Vol 11 (6) ◽  
pp. 318
Author(s):  
Jaber Yasmina

This study is an attempt to explain the relationship between intraday return and volume in Tunisian Stock Market. Indeed, former researches avow that the trading activity have the main explanatory power for volatility. However, most theories measure the activity of transactions through the size of exchange or the number of transactions. Nevertheless, these components are not aware enough of the importance of the direction of exchange when explaining the phenomenon of asymmetry of volatility. In the most of studies, the technique “Augmented Tick Test” (ATT) is employed so as to identify the direction of exchange. Such technique is adapted for the markets directed by orders like the Tunisian financial market. Again, this paper shows that the impact of the direction of exchange differs according to the market trend. In other words, if the returns are positive, the transactions of sale (of purchase) generate a decrease (increase) of volatility; whereas, they induce an increase (drop) of volatility if returns are negative. This result stresses the significance of exchange direction in explaning the asymmetry of volatility. Moreover, throughout this study, one may affirm that “Herding trades” are at the origin of the increase of volatility, while the “Contrarian trades” reduce volatility. Similarly, the identification of the direction of exchange enables us to affirm that the transactions of the initiates are characterized by the absence of returns auto- correlation; whereas, the transactions carried out by uninformed investors present an auto- correlation of the returns. In fact, the sign of this correlation varies according to transaction direction.


2021 ◽  
Vol 8 (12) ◽  
pp. 73-82
Author(s):  
Hien-Ly Pham ◽  
Ching-Chung Lin ◽  
Shih-Ju Chan

Vietnam plays an important role in the global supply chain. As one of important emerging markets, many studies have focused on Vietnam-related issues. Vietnam established two stock markets in 2000s. The market performance becomes one of interesting issues to explore. This study is to investigate the impact of macroeconomic variables, including inflation rate, exchange rate, interest rate, imports, exports, and gold price, on Ho Chi Minh stock market. The study period is from July 2000 to October 2014. Using the monthly data collected from Vietnam General Statistic Office, IMF International Financial Statistics, and Ho Chi Minh stock exchange, the empirical findings of our regression model show that there exists a positive relationship for imports and gold price, while the relationships for exchange rate and interest rate are negative. No significant relationship has been found for the variables of inflation rate and exports.


Author(s):  
Vladimir M. Gribanich ◽  

The article is devoted to the analysis of the development of the stock market, its stages of development and the impact on the economic conjuncture of countries. The relevance of studies on the development of the stock market in modern realities is growing every day, the number of transactions also grows steadily despite the pandemic, and that forms huge cash flows. The purpose of the study carried out in the article is not only to identify the influence of the stock market on the development of countries in modern conditions, but also to conduct a statistical analysis of data reflecting the state of the main stock exchange indices in a pandemic, as well as to assess the state of the securities market in 2019 and 2020 and work out forecasts for its future development. Several methods were used in the work: analysis of official information sources, statistical observation (systematic collection of information), grouping of the source data, their graphical presentation, as well as building diagrams.


2019 ◽  
Vol 21 (1) ◽  
pp. 54-67
Author(s):  
Wing Him Yeung ◽  
Yilisha Pang ◽  
Asad Aman

South–South cooperation has been on the rise in recent years. One of the latest examples is the China–Pakistan Economic Corridor (CPEC) proposed by the Chinese and Pakistani governments in 2013. Using event study methodology, this article examines the impact of events and announcements associated with CPEC on the Pakistan Stock Exchange in Pakistan and the Shanghai Stock Exchange in China. The first key finding of this article is that the initial announcement associated with CPEC had stronger and positive short-term impact on the Pakistan Stock Exchange in comparison with the impact of subsequent CPEC events on the stock market. The second key finding is that the short-term impact of the CPEC initial announcement was stronger on the Pakistan Stock Exchange than on the Shanghai Stock Exchange, possibly due to the substantial difference in the size of the two economies. The empirical results of this article have important implications for investors, corporations and regulators to the Global South.


2020 ◽  
Vol 17 (1) ◽  
pp. 1-14
Author(s):  
Atanas Sixpence ◽  
Olufemi P. Adeyeye ◽  
Rajendra Rajaram

The impact of financial risks on share prices concerns investors, company executives and accounting standards developers. Investors need this information in delineating their equity valuation models while company executives need the information to make appropriate capital structure decisions. Accounting standards developers use this information in their policy to make accounting standards contemporary. The authors examine the link between relative and absolute financial risks and share prices using a dynamic panel of non-financial listed companies on the Zimbabwe Stock Exchange after dollarization. Equity investors incurred losses before dollarization, which prompted this investigation into the sphere of financial risks in order to explain share price movements so that investors can use it to minimize losses in the future. Absolute financial risk is measured by the total debt, while debt/equity ratio measures relative financial risk. Market capitalization as a proxy for equity and debt is measured by total liabilities. An average debt/equity ratio greater or equal to one qualifies a firm into the high-risk category while ratios below one imply low-risk firms. Results from two-step System Generalised Method of Moments (GMM) show negative and significant connection between relative risk and share prices across risk categories. The impact of absolute risk on share prices differs by risk category. Firm managers are advised to keep total liabilities below market capitalization in order to enjoy the benefits of low-risk categorization. Debt ratio is a reasonable indicator of value and investors can use it in equity valuation. Mandatory reporting of debt ratios should be considered by accounting standards developers.


2020 ◽  
Vol 17 (3) ◽  
pp. 133-147
Author(s):  
Rashmi Chaudhary ◽  
Priti Bakhshi ◽  
Hemendra Gupta

The current empirical study attempts to analyze the impact of COVID-19 on the performance of the Indian stock market concerning two composite indices (BSE 500 and BSE Sensex) and eight sectoral indices of Bombay Stock Exchange (BSE) (Auto, Bankex, Consumer Durables, Capital Goods, Fast Moving Consumer Goods, Health Care, Information Technology, and Realty) of India, and compare the composite indices of India with three global indexes S&P 500, Nikkei 225, and FTSE 100. The daily data from January 2019 to May 2020 have been considered in this study. GLS regression has been applied to assess the impact of COVID-19 on the multiple measures of volatility, namely standard deviation, skewness, and kurtosis of all indices. All indices’ key findings show lower mean daily return than specific, negative returns in the crisis period compared to the pre-crisis period. The standard deviation of all the indices has gone up, the skewness has become negative, and the kurtosis values are exceptionally large. The relation between indices has increased during the crisis period. The Indian stock market depicts roughly the same standard deviation as the global markets but has higher negative skewness and higher positive kurtosis of returns, making the market seem more volatile.


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