Stock Price of Pandemic Covid-19 in Stock Market Performance

Azis, Musdalifah; Burhanuddin, .; Rahayu, Heni Setyowati Esti

doi:10.13189/ujaf.2021.090206

Cited by 4 publications

(3 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The uncertainties and fear festered in investors due to the pandemic have let people to react negatively which caused the price shares to drop in the stock market [29]. A study in Indonesia [30] found that one of the fears of the domestic investors was risk of a global economic shutdown. This shows that the capital market all around the world has been significantly impacted by the pandemic.…”

Section: Investorsmentioning

confidence: 99%

Technology Usage for Sustainable Health and Well-being in Ecommerce Throughout the COVID 19 Pandemic

Norman¹,

Marzuki²,

Hamid³

2022

Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022)

View full text Add to dashboard Cite

In the recent COVID-19 pandemic, the world has seen the importance of technology usage where multiple activities were conducted virtually for life sustainability. There is an increase of activities happening in the virtual platform, supporting different types of businesses including retail and services. The activities encompass digitization of businesses with the implementation of new technologies. This research is a review of existing studies regarding e-commerce in current pandemic times. This research is expected to produce dominant activity segment(s) in e-commerce and explore further into that topic. The findings shall provide a starting point for other research topics related to e-commerce and technology.

show abstract

Section: Investorsmentioning

confidence: 99%

Technology Usage for Sustainable Health and Well-being in Ecommerce Throughout the COVID 19 Pandemic

Norman¹,

Marzuki²,

Hamid³

2022

Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022)

View full text Add to dashboard Cite

show abstract

“…Stocks are proof of ownership of a company. Several researchers have conducted research on the topic of stocks, for example: [4], [5], [6], and [7]. In [4], the authors present a new data mining algorithm based on back propagation neural networks and its application to stock price predictions.…”

Section: Stocksmentioning

confidence: 99%

Triangulation between Bernoulli Distribution and Laplacian Autoregressive Model to Predict Probability of Increase in Stock Price

Suparman¹,

Diponegoro²,

Ritonga³

et al. 2021

ujaf

View full text Add to dashboard Cite

Stocks are one of the aspects that affect the economy in the world. In the stock market, the price of a stock changes every time. Investors who are able to predict the increase in stock prices will tend to get profit, but investors who are unable to predict the increase in stock prices will tend to experience losses. This study aims to find statistical models and use them to predict the probability of an increase in the price of a stock in the stock market. The method used in this study is a literature study regarding stochastic models and selected suitable stochastic models. This study finds stochastic models and uses them to predict the probability of an increase in stock prices. The novelty in this research lies in the stochastic model triangulation. The increase in stock prices is predicted using two stochastic models, namely: Bernoulli and autoregressive. The decision on stock prediction is determined by the results of the triangulation of the two methods. The proposed method in this study has the advantage that decision making is based on more than one stochastic model. The results of this study can be applied to the financial sector, especially in the stock market.

show abstract

“…As a result, they concluded that technical analysis was more suitable for short-term trading and fundamental was better for long-term investments [8]. Upon a strong growth of indices (when the market reaches new highs), risks significantly increase for holding long positions since the probability of a collapse or price correction increases, including in connection with the Covid-19 pandemic [9]. In the "high market", long-term investors should resort to technical analysis and, if necessary, reduce or close positions in trading.…”

Section: Literature Overviewmentioning

confidence: 99%

Assessing the Investment Attractiveness of Shares: The Joint Use of Fundamental and Technical Analysis

Safronov¹,

Sazonov²

2021

ujaf

View full text Add to dashboard Cite

Since early 2015, the key rate of the Central Bank of the Russian Federation has been steadily decreasing. At the beginning of 2021, it amounted to 4.25% per annum, which was an unprecedented low value for the Russian economy. This conditioned a steep deposit rate fall and a significant growth in real estate prices. In the current economic situation, many private investors come to the stock market, which transforms savings into investments in the real sector of the economy. The article considers the fundamental and technical analysis of stocks. The authors have conducted a comparative analysis of shares from one industry as exemplified by PAO "Severstal", PAO "MMK" and PAO "NLMK", i.e. the leaders of the Russian ferrous metallurgy. The technical analysis of stocks is carried out on daily timeframes in the period from August 28, 2020 to March 5, 2021 using the following indicators: moving average convergence divergence (MACD), the MACD histogram and the RSI oscillator. The fundamental analysis of stocks is performed using the bottom-up method through multiples: P/E, P/S, P/BV, EV/EBITDA and EPS. The authors have concluded that it is inexpedient to invest in the shares of these companies at the current level of their capitalization.

show abstract

Stock Price of Pandemic Covid-19 in Stock Market Performance

Cited by 4 publications

References 25 publications

Technology Usage for Sustainable Health and Well-being in Ecommerce Throughout the COVID 19 Pandemic

Technology Usage for Sustainable Health and Well-being in Ecommerce Throughout the COVID 19 Pandemic

Triangulation between Bernoulli Distribution and Laplacian Autoregressive Model to Predict Probability of Increase in Stock Price

Assessing the Investment Attractiveness of Shares: The Joint Use of Fundamental and Technical Analysis

Contact Info

Product

Resources

About