scholarly journals Trends of industry-leading biotechnology stocks during COVID-19

2021 ◽  
Vol 10 (3) ◽  
Author(s):  
Navia Zhang ◽  
Meredith Haskins
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Blood Clotting ◽  
New Technologies ◽  
Share Prices ◽  
The World ◽  
Biotechnology Companies ◽  
Pandemic Vaccine ◽  
Biotechnology Sector ◽  
Roll Out

The 2019-nCoV coronavirus has significantly impacted the macroeconomic outlook for countries across the world. The biotechnology sector experienced a relatively positive stock price outlook, which corroborates the trends exhibited by biotechnology stocks in previous pandemics such as SARS (2003) and AH1N1 (2009). During the COVID-19 pandemic, vaccine roll-out rates have been more efficient than in any other pandemic, as companies today are more experienced in combating the time constraint to create vaccines. Gilead Sciences Inc. saw its shares rise 18% after developing the first FDA-approved COVID-19 vaccine, 'remdesivir'. In contrast, AstraZeneca's shares fell 2.28% in 2021 after its vaccine underwent investigations into blood-clotting side effects and subsequent suspension from several countries. Companies developing mRNA vaccines like Moderna, BioNTech, and Pfizer witnessed surges in share prices ranging from 10% to 20%. Many newer biotech companies such as Genexie, Sanovi, OnoSec, and Vaxart have also developed vaccines for COVID-19. Share prices are more volatile for these less established companies. This paper observes how developing new technologies, staging clinical trials, obtaining FDA approvals, gaining publicity, and several other complex factors have profound impacts on the stock prices of these biotechnology companies.

scholarly journals THE EFFECT OF CORONA PANDEMIC, MINE COMMODITY PRICES AND RUPIAH EXCHANGE RATE ON INDONESIAN SHARIA SHARE PRICES IN THE MINING SECTOR 2020

2021 ◽  
Vol 7 (2) ◽  
pp. 350
Author(s):  
Muhammad Al Faridho Awwal ◽  
Mukhamad Yazid Afandi
Keyword(s):  
Exchange Rate ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Commodity Prices ◽  
Mining Sector ◽  
Cross Sectional ◽  
Coal Price ◽  
Share Prices ◽  
The World

This study aims to analyze the effect of the corona pandemic, mining commodity prices and the rupiah exchange rate on Indonesian Islamic Share Prices/Indeks Saham Syariah Indonesia (ISSI) in the mining sector in 2020. The corona pandemic is represented by daily active cases that occur in Indonesia, the mining commodities used are coal, oil and gold prices world, and the exchange rate of the rupiah against the dollar. The data used is a cross-sectional type with a sample of 32 companies with an observation duration of 195 days during the 2020 period. The results show that simultaneously the independent variables significantly affect the dependent variable and partially the world coal price, world oil price, gold price. The world and the rupiah exchange rate with the exception of corona have a significant effect on mining stock prices at Indonesian Islamic share prices in 2020. This research proves that the Market anomaly theory is proven to occur in 2020 as a result of the corona pandemic, anomaly in commodity prices and exchange rates on the Indonesia Stock Exchange, especially in the Indonesian Islamic share prices mining sector which proves that the market cannot be accurately predicted if it occurs a sentiment strong enough globally to move investors both in terms of selling or buying shares that previously could not be reflected by the company's stock price.

scholarly journals The Corona Pandemic On Sharia Capital Market in Indonesia

2021 ◽  
Vol 10 (2) ◽  
Author(s):  
Muhammad Al Faridho
Keyword(s):  
Capital Market ◽  
Stock Prices ◽  
Stock Price ◽  
Corona Virus ◽  
The World

In 2020, the world faced the corona virus pandemic, which can threaten the economy aspect of every country. There are many countries end up experiencing recession, including Indonesia. This study tries to test the effect of the corona pandemic on the Jakarta Islamic Index (JII) stock price, simultaneously and partially. The result shows the stock prices that are included in the Jakarta Islamic Index (JII), simultaneously for three quarters, significantly affected by the corona pandemic. Partially, not all issuers are affected by this pandemic. It can be seen that the issuers affected in the Q1 range are ADRO, INCO, SCMA, UNVR, in the Q2 are ADRO, ASII, BTPS, ERAA, ICBP, INDF, INTP, MDKA, MNCN, PTBA, SCMA, SMGR and UNVR, while in the Q3 are ANTM, ERAA, MDKA, PGAS, TPIA.

scholarly journals The effects of dividend policy to stock prices of listed companies in Vietnam stock market

2020 ◽  
Author(s):  
Thị Lam Hồ ◽  
Thùy Phương Trâm Hồ
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Dividend Policy ◽  
Corporate Value ◽  
Business Managers ◽  
Dividend Payment ◽  
Share Prices ◽  
Finance Management ◽  
The Impact

Dividend policy is one of the most important policies in corporate finance management. Understanding the impact of dividend policy on the distribution of profits, corporate value and thus on the stock price is important for business managers to make policies and for investors to make investment decisions. This study is conducted to evaluate the impact of dividend policy on share prices for companies listed on Vietnam’s stock market in the period from 2010 to 2018, based on the availability of continuous dividend payment data. Using the FGLS method with panel data of 100 companies listed on the HoSE and HNX, we find evidence of the impact of dividend policy on stock prices, supporting supports the bird in the hand and the signal detection theories. The findings of this study help to suggest a few recommendations for business managers and investors.

scholarly journals Pengaruh NPM, ROA, ROE terhadap Harga Saham pada Perusahaan LQ45

2020 ◽  
Vol 30 (5) ◽  
pp. 1258
Author(s):  
Kannia Aulia Sahari ◽  
I Wayan Suartana
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Fundamental Analysis ◽  
Share Prices ◽  
Research Population ◽  
Profitability Ratios

The purpose of this study is to determine the movement of stock prices, namely fundamental analysis where profitability ratios are often used in fundamental analysis, namely NPM, ROA and ROE This research was conducted on companies incorporated in the 2014-2018 LQ45 index on the Indonesia Stock Exchange. The research population is 68 companies. Samples were selected using a purposive sampling technique so that the number of samples obtained was 26 companies and the number of observations over 5 years was 130 observations. Data analysis techniques using multiple linear regression analysis. Based on the results of this analysis show that NPM and ROA have no effect on stock prices so that they are unable to increase share prices in companies incorporated in the LQ45 index, while ROE affects stock prices so the higher the ROE level the higher the stock prices at companies incorporated in the LQ45 index. Keywords: NPM; ROA; ROE; Stock Price.

The Effects of High-Tech Companies' Strategic Alliance Announcements on the Stock Prices of the Relevant Companies: A Comparative Analysis of Indirect Benefits for Taiwan's High-Tech Industry Versus Other Industries 1998–2002

2005 ◽  
Vol 08 (02) ◽  
pp. 235-250
Author(s):  
Chiung-Ju Liang ◽  
Ming-Li Yao ◽  
Jung-Chu Lin
Keyword(s):  
Strategic Alliances ◽  
Stock Prices ◽  
Stock Price ◽  
Strategic Alliance ◽  
High Tech ◽  
High Tech Industry ◽  
Indirect Benefits ◽  
Common Trend ◽  
The World ◽  
Indirect Impact

In recent years, the formation of strategic alliances has become an increasingly common trend among developing countries around the world. In spite of this, the numerous attempts to comprehensively review the research on the correlation between these strategic alliances and stock prices over the years have, by and large, limited their discussion to how the stock price of a corporation responds to its announcement that it is forming a strategic alliance. Only a few studies have, however, discussed the announcement's indirect impact on the stock prices of investing companies that have entered into such strategic alliances. It is for this reason that we conduct an event study and develop an empirical model to measure that indirect impact on the stock prices of investing companies engaging in strategic alliances with Taiwan's high-tech industry from 1998 to 2002, while also discussing the market's different responses in their stock prices according to various industrial types that have been used to classify these investing companies.

scholarly journals Deterministic chaos and forecasting in Amazon’s share prices

Equilibrium ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. 253-273
Author(s):  
Michael Hanias ◽  
Stefanos Tsakonas ◽  
Lykourgos Magafas ◽  
Eleftherios I. Thalassinos ◽  
Loukas Zachilas
Keyword(s):  
Time Series ◽  
Chaos Theory ◽  
Stock Prices ◽  
Stock Price ◽  
Chaotic Behavior ◽  
Financial Time Series ◽  
Deterministic Chaos ◽  
Value Added ◽  
Share Prices ◽  
Daily Data

Research background: The application of non-linear analysis and chaos theory modelling on financial time series in the discipline of Econophysics. Purpose of the article: The main aim of the article is to identify the deterministic chaotic behavior of stock prices with reference to Amazon using daily data from Nasdaq-100. Methods: The paper uses nonlinear methods, in particular chaos theory modelling, in a case study exploring and forecasting the daily Amazon stock price. Findings & Value added: The results suggest that the Amazon stock price time series is a deterministic chaotic series with a lot of noise. We calculated the invariant parameters such as the maxi-mum Lyapunov exponent as well as the correlation dimension, managed a two-days-ahead forecast through phase space reconstruction and a grouped data handling method.

scholarly journals Stock price reaction to cash dividend announcements in Vietnam

2017 ◽  
Vol 24 (02) ◽  
pp. 74-89
Author(s):  
Truong Nguyen Xuan ◽  
Huong Dao Mai ◽  
Anh Nguyen Thi Van
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Cash Dividend ◽  
Share Prices ◽  
Price Reaction ◽  
Cumulative Abnormal Returns ◽  
Stock Price Reaction ◽  
The Uk

This study attempts to investigate the stock price reaction to divi-dend announcements using data of Vietnamese listed firms on Hochiminh Stock Exchange (HOSE). Standard event study meth-odology has been employed on a sample of 198 cash dividend an-nouncements made in 2011. The results show that stock prices react significantly and positively to the announcements of cash dividends, including both dividend increasing and dividend decreasing events. It is also plausible that cumulative abnormal returns exhibit an in-creasing trend before announcement yet a decreasing trend after announcement dates. More specifically, we find positively signifi-cant cumulative abnormal returns of around 1.03% on announce-ment dates; other larger windows also demonstrate positive abnor-mal returns of around 1.3%. In addition, cash dividends have differ-ent effects on share prices of firms from different industries. These results support the signaling hypothesis and are also consistent with prior findings of empirical research done on more developed mar-kets, i.e. the US and the UK.

scholarly journals Bankruptcy Prediction And Its Effect On Stock Prices As Impact Of The COVID-19 Pandemic

2021 ◽  
Vol 25 ◽  
pp. 567-582
Author(s):  
Muhammad Ramadhani Kesuma ◽  
Felisitas Defung ◽  
Anisa Kusumawardani
Keyword(s):  
Prediction Model ◽  
Strong Evidence ◽  
Stock Prices ◽  
Stock Price ◽  
Prediction Models ◽  
Bankruptcy Prediction ◽  
Business Sector ◽  
The World ◽  
Hotel Sector

As COVID-19 pandemic hit the world since early 2020, one business sector in many countries that struggling to survive is tourism and its derivatives, such as restaurants and hotels.  This study aims to examine the accuracy of the Springate and Grover models in predicting bankruptcy, as well as the effect on stock prices of tourism, restaurant, and hotel sector in Indonesia. The results show that all sample tourism, restaurant, and hotel companies are bankrupt under the Springate model, whilst according to Grover's model the findings are varied during the study period. Furthermore, the Grover model is implied to be more accurate than the Springate model. The effect of both prediction models on stock price appears dissimilar. Springate's prediction model suggests a positive and significant effect on stock prices, whereas there is no strong evidence about the effect of Grover’s prediction model.

scholarly journals ANALISIS PENGARUH RASIO KINERJA KEUANGAN TERHADAP HARGA SAHAM PT BANK MANDIRI PERSERO PERIODE 2014 – 2019

GANEC SWARA ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 963
Author(s):  
I KETUT KUSUMA WIJAYA
Keyword(s):  
Financial Performance ◽  
Stock Prices ◽  
Stock Price ◽  
Supply And Demand ◽  
Share Price ◽  
Financial Reports ◽  
Financial Ratio ◽  
Share Prices ◽  
Performance Variables ◽  
Simultaneous Test

     Share prices occur according to market supply and demand. Demand for shares is influenced by investors' expectations of the issuing company. The better the financial performance of a company, the higher investor expectations will be. This results in the shares becoming increasingly attractive and the share price will be higher. Conversely, if a company's financial performance is not good, investors' expectations will be low, so investors are not interested in investing in these shares. This causes the stock price to fall. The company's financial performance can be done by analyzing financial reports. This study aims to determine the effect of financial performance ratios on stock prices. The analytical tool used is multiple linear regression and hypothesis testing is done by partial test (T-test) and simultaneous test (F-test) and standardized coefficient test.     Based on the research results that simultaneously the financial ratio variable does not have a significant effect on stock prices. Meanwhile, only partially the NPM variable affects stock prices. Meanwhile, the financial performance variables (CAR, ROA, and LDR) do not affect stock prices. For the adjusted R2 value of 99.80%, it means that this value means that the variation of the independent variable which can explain the dependent variable is 99.80% and the remaining 2% is the variation of other variables that are not explained in the model.

scholarly journals Neural Network Backpropagation Identification of Jakarta Islamic Index (JII) Stock Price Patterns

2020 ◽  
Vol 4 (1) ◽  
pp. 90-94
Author(s):  
Musli Yanto ◽  
Liga Mayola ◽  
M. Hafizh
Keyword(s):  
Interest Rates ◽  
Stock Prices ◽  
Stock Price ◽  
Share Prices ◽  
Inflation Rates ◽  
Price Patterns ◽  
Price Movements ◽  
Pattern Determination ◽  
Network Patterns ◽  
Stock Price Movements

Jakarta Islamic Index (JII) is an organization engaged in the economy with the aim to pay attention to stock movements every day. With the JII, people who do not understand about shares and their movements, will be easy to know and understand the movement of shares that occur at certain times. The problem in this research is that many investors are unable to predict the rise and fall of stock prices. The prediction process can be done with a backpropagation algorithm. The algorithm is a concept of computer science which is widely used in the case of analysis, prediction and pattern determination. The process starts from the analysis of the variables used namely interest rates, exchange rates, inflation rates and stock prices that occurred in the previous period. The variables used are continued in the formation of network patterns and continued in the process of training and testing in order to produce the best network patterns so that they are used as a process of identifying JII stock price movements. The results obtained in the form of the value of stock price movements with an error rate based on the MSE value of 11.85% so that this study provides information in the form of knowledge for making a decision. The purpose of the research is used as input for investors in identifying share prices. In the end, the benefits felt from the results of this study, investors can make an initial estimate before investing in JII.

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