ABSTRACT
COVID-19 has significant influence on the financial market. This paper aimed to explore the COVID-19 scenario analysis for stock market of beauty industry. Stock data of Estée Lauder Companies (EL), Revlon Inc. (REV) and Coty Inc. (COTY) is considered for this purpose. Deep learning models (LSTM and CNN) are utilized for the stock price prediction of beauty companies during COVID-19 era. LSTM and CNN, both the model worked well for the stock price prediction;however, LSTM performed better in all cases. Lockdown scenario along with the stock data is taken for the analysis purpose. Study shows that beauty industries got affected during initial spread of the virus, but now recovering. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
The aim of the project is to predict and analyse broad trends across the US economy using stock data from mainstream companies in six industries on Forbes 2000 and data from COVID-19. A time series analysis approach was used to predict the daily increases in each company's share price. The following five supervised learning techniques (logistic regression, random forest, decision tree, neural network and XGBoost) were used. As the accuracy of the results predicted by the different models for each company varies considerably, only the results predicted by the most accurate model for each company have been selected for analysed. The results show that the Electronic Pleased Technology Industry and the Social Entertainment Internet Industry remain break-even for COVID-19;the E-Commerce Industry shows a significant increase;The Financial Services Industry shows a significant drop in share price, while the Insurance Industry and Pharmaceutical Industry show a small drop in share price. © COPYRIGHT SPIE. Downloading of the is permitted for personal use only.
ABSTRACT
With the rise of the proportion of the elderly population and the improvement of the national economic level, people pay more and more attention to health. At the same time, the impact of COVID-19 on various industries has also made us realize that medicine is necessary. Pharmaceutical stocks have become one of the most prominent sectors in China's stock market in recent years. However, investors also have problems such as blind following and impulsive investment. In order to provide professional suggestions to investors, this paper makes an empirical analysis based on the stock data of pharmaceutical companies in the A-share market and the CSI 300 Index by using PE ratio, EPS ratio and CAPM model. Finally, according to the data analysis results and the nature of each pharmaceutical company, this paper suggests that investors with risk preference can invest in pharmaceutical manufacturing enterprises. In terms of those risk-averse investors, they can choose leading enterprises in the pharmaceutical retail industry. Moreover, the future market for vaccines will be a very large one with clear long-term value © 2021 ACM.