Investigating the Impact of COVID-19 Pandemic First and Second Wave on the Indian Stock and Commodity Market: An ARDL Analysis of Gold, Oil and Stock Market Price

2021 ◽  
Author(s):  
Aamir Syed ◽  
Ravindra Tripathi ◽  
Jyoti Dewan
Keyword(s):  
Stock Market ◽  
Market Price ◽  
Commodity Market ◽  
The Impact ◽  
Second Wave

scholarly journals Assessing the Impact of COVID-19 Pandemic on the Stock and Commodity Markets Performance and Sustainability: A Comparative Analysis of South Asian Countries

2021 ◽  
Vol 13 (10) ◽  
pp. 5669
Author(s):  
Farhan Ahmed ◽  
Aamir Aijaz Syed ◽  
Muhammad Abdul Kamal ◽  
Maria de las Nieves López-García ◽  
Jose Pedro Ramos-Requena ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Stock Market ◽  
South Asian ◽  
Oil Prices ◽  
Commodity Markets ◽  
Commodity Market ◽  
Asian Countries ◽  
Short Period ◽  
The Impact ◽  
Second Wave

COVID-19 is certainly the first sustainability crisis of the 21st century. The paper examines the impact of COVID-19 on the Indian stock and commodity markets during the different phases of lockdown. In addition, the effect of COVID-19 on the Indian stock and commodity markets during the first and second waves of the COVID-19 spread was compared. A comparative analysis of the stock market performances and sustainability of selected South Asian countries is also included in the study, which covers the lockdown period as well as the time frame of the first and second waves of COVID-19 spread. To examine the above relationship, the conventional Welch test, heteroskedastic independent t-test, and the GMM multivariate analysis is employed, on the stock return, gold prices, and oil prices. The findings conclude that during the different phases of lockdown in India, COVID-19 has a negative and significant impact on oil prices and stock market performance. However, in terms of gold prices, the effect is positive and significant. The results of the first wave of COVID-19 infection also corroborate with the above findings. However, the results are contradictory during the second wave of coronavirus infection. Furthermore, the study also substantiates that COVID-19 has significantly affected the stock market performances of selected South Asian countries. However, the impact on the stock market performances was only for a short period and it diminished in the second wave of COVID-19 spread in all the selected South Asian countries. The findings contribute to the research on the stock and commodity market impact of a pandemic by providing empirical evidence that COVID-19 has spill-over effects on stock markets and commodity market performances. This result also helps investors in assessing the trends of the stock and commodity markets during the pandemic outbreak.

scholarly journals Volatility Modeling: An Overview of Equity Markets in the Euro Area during COVID-19 Pandemic

Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1212
Author(s):  
Pierdomenico Duttilo ◽  
Stefano Antonio Gattone ◽  
Tonio Di Di Battista
Keyword(s):  
Stock Market ◽  
Euro Area ◽  
Risk Premium ◽  
Stock Markets ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Volatility Modeling ◽  
The Impact ◽  
Second Wave ◽  
Daily Returns

Volatility is the most widespread measure of risk. Volatility modeling allows investors to capture potential losses and investment opportunities. This work aims to examine the impact of the two waves of COVID-19 infections on the return and volatility of the stock market indices of the euro area countries. The study also focuses on other important aspects such as time-varying risk premium and leverage effect. This investigation employed the Threshold GARCH(1,1)-in-Mean model with exogenous dummy variables. Daily returns of the euro area stock markets indices from 4th January 2016 to 31st December 2020 has been used for the analysis. The results reveal that euro area stock markets respond differently to the COVID-19 pandemic. Specifically, the first wave of COVID-19 infections had a notable impact on stock market volatility of euro area countries with middle-large financial centres while the second wave had a significant impact only on stock market volatility of Belgium.

scholarly journals Factors affecting stock market index volatility: Empirical study

2021 ◽  
Vol 10 (3) ◽  
pp. 169-176
Author(s):  
Mohammed Ali Al-Rimawi ◽  
Thair Adnan Kaddumi
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Foreign Investment ◽  
Inflation Rate ◽  
Market Price ◽  
Economic Growth Rate ◽  
Macroeconomic Variables ◽  
The Impact

How is stock market price volatility affected, and what is the nature of the impact that macroeconomic variables do on the stock market price direction? The main objective of this study is to investigate the impact of some selected macroeconomic variables (inflation rate (INR), interest rate (IR), economic growth rate (EGR), and foreign investment (FI)) on Amman Stock Exchange (ASE) fluctuation for the period 1999–2018. The information is based on the annual data published by industrial companies listed at ASE. The study adopted a descriptive-analytical approach, also simple and multiple linear regression analysis was employed for the mentioned purpose (Nurfadilah & Samidi, 2017). The results revealed that there is no statistically significant impact of INR, IR, EGR, and FI collectively on ASE performance (Niewińska, 2020). Individually, the results indicated that there is a statistically significant impact of all variables (INR, IR, EGR, and FI) on ASE performance. Additionally, the results concluded that foreign investment, portrayed the highest impact factor on ASE performance, followed by a change in average interest rate, then inflation rate, and the least impact attributes to the economic growth rate. Finally, the research recommends that Jordanian banks should reduce the lending interest rate to enhance investment in securities and improve economic growth rate, also Jordanian authorities should encourage foreign direct and indirect investment and make more efforts to attract more foreign investment, either in the form of tax incentives or by extending finance at low-interest rates.

scholarly journals The Linkage between Sentiments and Stock Market Dynamics New Evidence from Iran

2020 ◽  
Vol 9 (2) ◽  
pp. 29
Author(s):  
Heshmatollah Asgari ◽  
Hamed Najafi
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Screening Method ◽  
Market Price ◽  
Investor Sentiment ◽  
Financial Assets ◽  
Causality Test ◽  
Research Criteria ◽  
The Impact ◽  
The Relationship

In recent years, the issue of financial behaviour and the impact of investors’ sentiments on their decision making have become such a popular issue. The sentiments of financial activists affect the market price of financial assets and particularly stocks, and therefore it is included in the new pricing models of capital assets. In this article, we seek the effect of investors’ sentiments on the dynamics of the Iranian stock market (TSE). To do this, among the companies accepted in the stock market we select 120, considering the research criteria and screening method, we examined TSE specifics throughout 2010-2018 using regression analysis and causality test. Our results show that firstly investors’ sentiments have a direct effect on the stock returns and there is a bilateral relationship between them. Secondly, inflation has the opposite effect and economic growth has a direct and positive effect on the relationship between investor sentiment and stock returns. Finally, government spending has no significant effect on the relationship between investor sentiment and stock returns.

scholarly journals JUSTIFICATION OF THE ESSENCE, FUNCTIONS AND PURPOSE OF GRAIN FUTURE EXCHANGE MARKET OF AGRICULTURAL PRODUCTS

2021 ◽  
Author(s):  
Hrechaniuk L. M.
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Market Price ◽  
The State ◽  
Agricultural Products ◽  
Commodity Market ◽  
Exchange Market ◽  
Financial Instrument ◽  
Domestic Stock ◽  
Future Exchange

In the article analyzes the development of the domestic stock market. It is substantiated that crop futures are a derivative financial instrument on the stock exchange, which provides for the obligation of its seller or buyer to periodically transfer sums of money to the opposite party depending on changes in the market price of grain, and (or) the obligation delivery of grain on time. It is determined that only under the conditions of joint efforts on the part of the state, the exchange community, participants of the agrarian market that will allow bringing the exchange commodity market closer to civilized bases.

scholarly journals Stock Market Prediction Using Twitter Sentiment Analysis

2021 ◽  
pp. 265-270
Author(s):  
Padmanayana ◽  
Varsha ◽  
Bhavya K
Keyword(s):  
Stock Market ◽  
Sentiment Analysis ◽  
Stock Price ◽  
Market Price ◽  
Future Price ◽  
Stock Market Prediction ◽  
Stock Price Prediction ◽  
Price Prediction ◽  
Media Platform ◽  
The Impact

Stock market prediction is an important topic in ?nancial engineering especially since new techniques and approaches on this matter are gaining value constantly. In this project, we investigate the impact of sentiment expressed through Twitter tweets on stock price prediction. Twitter is the social media platform which provides a free platform for each individual to express their thoughts publicly. Specifically, we fetch the live twitter tweets of the particular company using the API. All the stop words, special characters are extracted from the dataset. The filtered data is used for sentiment analysis using Naïve bayes classifier. Thus, the tweets are classified into positive, negative and neutral tweets. To predict the stock price, the stock dataset is fetched from yahoo finance API. The stock data along with the tweets data are given as input to the machine learning model to obtain the result. XGBoost classifier is used as a model to predict the stock market price. The obtained prediction value is compared with the actual stock market value. The effectiveness of the proposed project on stock price prediction is demonstrated through experiments on several companies like Apple, Amazon, Microsoft using live twitter data and daily stock data. The goal of the project is to use historical stock data in conjunction with sentiment analysis of news headlines and Twitter posts, to predict the future price of a stock of interest. The headlines were obtained by scraping the website, FinViz, while tweets were taken using Tweepy. Both were analyzed using the Vader Sentiment Analyzer.

Roles of GARCH and ARCH effects on the stability in stock market crash

2021 ◽  
Author(s):  
Hai-Feng Li ◽  
Dun-Zhong Xing ◽  
Qian Huang ◽  
Jiangcheng Li
Keyword(s):  
Stock Market ◽  
Market Price ◽  
Nonequilibrium Dynamics ◽  
Escape Time ◽  
Theoretical Simulation ◽  
Market Stability ◽  
Share Data ◽  
Escape Process ◽  
The Stability ◽  
The Impact

Abstract We theoretically stochastic simulate and empirically analyze the escape process of stock market price nonequilibrium dynamics under the influence of GARCH and ARCH effects, and explore the impact of ARCH and GARCH effects on stock market stability. Based on the nonlinear GARCH model of econophysics, and combined with GARCH and ARCH effects of volatility, we propose a delay stochastic monostable potential model. We use the mean escape time, or mean hitting time, as an indicator for measuring price stability, as first introduced in Ref. [1]. Based on the comparative analysis of actual Chinese A-share data, the theoretical and empirical findings of this paper are as follows} (1) The theoretical simulation results and actual data are consistent. (2) There exist optimal GARCH and ARCH effects maximally enhancing stock market stability.

Impact of Stock Market Volatility on Gold prices during the Covid-19 pandemic

2021 ◽  
Vol 9 (3) ◽  
Author(s):  
Garishma Gulyani ◽  
Priyanka Gupta ◽  
Ramanpreet Singh
Keyword(s):  
Stock Market ◽  
Market Price ◽  
Unit Root Test ◽  
Selection Strategy ◽  
Stock Market Volatility ◽  
Stock Selection ◽  
Causality Test ◽  
Integration Test ◽  
The Impact ◽  
The Relationship

The present research study examines the impact of Stock marketson Gold prices using daily data for pre and during COVID-19 period (January-October 2020). This study uses Unit root test, Granger causality test, GARCH method and Johansen’s co-integration test to evaluate difference in the Volatility as well as the relationship between them. The findings show that no causal relationship exists between Gold Prices and Stock market prices in the short run. The result of the Johansen Co-integration test for the long-run relationship between theGold price and Nifty Indices showno co-integration at all, but low co-integration inshort-run cannot be ruled out. With this study, an attempt has been made to reveal the relationship that exists between Gold and stock markets with empirical findings using the time series analysis which reveals the original side of work during the pandemic. The ARCH and GARCH coefficient explain significantly the persistence of information on stock return volatility. The present study recommends that the integration between Gold and Stock market price entails the need for investors globally to follow a portfolio stock selection strategy to add value from the investments in India.These findings have important implication for the investors seeking portfolio diversification.

scholarly journals Impact of Accounting Ratios on Stock Market Price of Listed companies in Colombo Stock Exchange

2021 ◽  
Author(s):  
Chandrasegaran Larojan
Keyword(s):  
Regression Analysis ◽  
Stock Market ◽  
Stock Exchange ◽  
Pearson Correlation ◽  
Random Effect ◽  
Market Price ◽  
Fixed Effect ◽  
Effect Regression ◽  
The Impact ◽  
Accounting Ratios

This study investigates the impact of accounting ratios on stock market price of top twenty companies based on the highest market capitalization listed in the Colombo Stock Exchange (CSE). The objectives of this study were to examine the impact of Earnings per Share (EPS) on stock market price; to examine the impact of Dividend per Share (DPS) on stock market price, to examine the impact of Price Earnings ratio (PE) on stock market price and to examine the impact of Market to Book ratio (MB) on stock market price. The panel data was collected from the top twenty companies for the period of five years from 2015 to 2019. EPS, DPS, PE and MB ratios were used as the proxies for the independent variables and stock price was used as the proxy for the dependent variable for this study. In order to perform the inferential analysis Pearson correlation analysis, panel regression with fixed effect, random effect and pooled linear regression were used. Hausman test was adopted in order to choose either random effect regression or fixed effect regression. According to pooled regression analysis, EPS, DPS and PE ratios had positive significant impact on stock market price. MB ratio had a negative significant impact on stock market price. According to fixed effect regression analysis, EPS, PE and MB ratios had positive insignificant impact on stock market price whereas DPS had a positive significant impact on stock market price. This study offers an insight to the potential investors to make the rational investment decisions in the stock market.

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