The COVID-19 pandemic has had far-reaching effects on global industries. The pandemic's impact on financial performance varied widely across sectors. This report aims to provide a preliminary understanding of the impact of the pandemic on companies in different industries and with different business models. This report selects four other companies, Microsoft, Apple, Pfizer, and Merck, from two different sectors, pharmaceuticals and technology. By comparing companies from these diverse industries, the report gains insights into the different business models reflected in their financial data. The financial statistics examined include annual stock returns, EBIT margin, and EPS. This analysis of technology and pharmaceutical companies' financial data highlights differences in performance and trends. The findings emphasize the significance of operating margin and EPS as key indicators of financial performance across industries. The differing financial performances of these four companies before and after the pandemic are primarily influenced by the characteristics of their respective industries, the nature of their business operations, and their financial strategies.

This paper summarizes and describes the impact of the COVID-19 on the consumption structure of China. The study conducts analysis on consumption from the perspectives of the total domestic consumption scale, the consumption structure and green consumption during the pandemic, and then summarizes the positive impact of boosting consumption and promoting economic recovery. It also explains how consumption began to recover as COVID-19 was effectively controlled. The epidemic had a huge impact on the domestic and international economy, including the impact on foreign trade and GDP growth, as well as the obvious negative impact of the COVID-19 on the consumption structure of the population. As the epidemic has been effectively controlled, the economy is slowly recovering. The contribution of this paper is to study the impact on the consumption status of Chinese residents after the pandemic, the extent of the impact caused is of great significance, and it serves as a revelation for the recovery of the economy in the future.

While numerous papers investigate on the co-movement of global commodities and stock indices, this paper extends to previous papers by focusing on the individual stock price of palm oil companies namely Sime Darby Plantation, Wilmar International, and Astra Agri Lestari. Weekly data spanning from January 2018 to September 2023 was selected and Autoregressive Distributed Lags (ARDL) model employed to demonstrate the possible co-movement and long-run relationship. Empirical results provide sufficient evidence of co-movement between global commodities with Sime Darby Plantation and Astra Agri Lestari in the long-run. This will allow fund managers, individual investors, and stock traders to make investment decisions, trading strategies, and portfolio management based on the global commodity markets.

This paper explores the variations in Return on Equity (ROE) and Price-to-Sales Ratio among publicly traded companies across different time periods and market capitalizations. The analysis employs Linear Regression and Correlation Coefficients to examine the relationships between ROE, Price-to-Sales Ratio, Market Capitalization, and economic conditions during these periods. The findings reveal that Price-to-Sales Ratio serves as a reliable indicator of a company's market capitalization. Furthermore, companies within the same industry exhibit substantial disparities in Market Capitalization, ROE, Price-to-Sales Ratio, Price-to-Earnings (P/E) Ratio, and PEG Index due to differing corporate strategies and backgrounds. For instance, in the new energy sector, both BYD and NIO display a negative correlation between market capitalization, while Tesla contradicts this trend. This discrepancy is attributed to internal factors such as asset composition, liabilities, and shareholder structure, which significantly influence a company's financial performance. The Market Capitalization of these new energy companies is predicted to rise due to global interest in AI technology, with technology companies being at the forefront of AI development. In the technology sector, companies like Google have solidified their positions by advancing AI concepts. New entrants, like Apple, combining Artificial Intelligence and Robotics, are gaining consumer support, indicating potential Market Cap. growth. The fashion industry also demonstrates distinctive strategies, with companies like NIKE, Adidas, and Anta focusing on sustainability and carbon neutrality. Therefore, future company evaluations should consider both financial indices and a company's long-term vision and sustainability practices to predict their future value effectively.

Since 2016, blind boxes have been loved by consumers, and the blind box economy has exploded. However, the blind box economy is closely linked with mathematical models. The mathematical models could be research predictions of profit and loss in blind boxes. Such functions as the loss function can assess the purchase probability of the blind box as well as how to avoid massive losses. Neural networks and Linear regression can predict the price changes of the blind box. Besides, we can predict and analyze the psychological and behavioral motivations of consumers. Therefore, the passage through literature reading and specific data analysis methods focuses on the mathematical models such as Loss function , Neural network and Linear regression that are applied in the blind box now. And the passage also describes the predictional model of profit and loss controdiction to avoid consumers consuming excessively ‘a pig in a poke’. At present, Linear regression can analysis and calculate investment with the blind box, but it should consider a lot of factors that can cause errors. Neural network can predict price changes, and it needs a large amount of data to support the model. Loss function can be used to predict the profit and loss of a blind box, but it also needs a large amount of data to prove its accuracy.

This study delves into the intricate relationship between the Capital Asset Pricing Model (CAPM) and Environmental, Social, and Governance (ESG) factors in the investment landscape. Through an extensive review of existing literature and comparative analyses, the paper uncovers the historical development of CAPM, the rise of ESG considerations, and their convergence in modern financial theory. The research aims to shed light on the ongoing debates surrounding integrating ESG factors into the CAPM framework, revealing both supportive and critical viewpoints. Through a critical evaluation of empirical studies, the paper identifies gaps in the current body of knowledge, emphasizing the need for further research to understand the interplay between ESG factors and CAPM. The study concludes that while ESG considerations have increasingly influenced investment decisions, their precise relationship with traditional financial models, such as CAPM, remains an area ripe for exploration.

Trademark anti-dilution protection is a legal measure aimed at protecting the rights and interests of trademarks and guaranteeing fair competition in the market, but whether it should be canceled has been controversial. The development of the theory of anti-dilution protection of well-known trademarks is a relatively popular research topic, while the Paris Convention and the Agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPS) have provisions on anti-dilution of trademarks. Therefore, through the research method of literature review and theoretical analysis, this paper will discuss trademark anti-dilution protection in terms of its definition, implementation effect, and problems. In addition, the importance of trademark anti-dilution protection is elaborated from the perspectives of consumer protection, brand value, and innovation incentives, and the viewpoint of maintaining the existence of trademark anti-dilution protection is confirmed and put forward.

Because of some new policies in China, the government has begun to lower house prices and encourage people to buy more houses, at least in Anhui. However, the reduced housing prices have not led to an increase in residential housing sales. So the author analyzes the reasons for the current insufficient purchasing power of Chinese residents' housing based on existing literature and data. The result shows that, in the context of contemporary society, personal income levels have significantly decreased. This decline is influenced by various factors, including tax policy reforms and the profound impact of the COVID-19 pandemic on the global economy, including China. At the same time, the hedging ability of the real estate industry has also decreased, which hinders the improvement of personal purchasing power. Although the real estate market has shown strong risk resistance and has gradually recovered from the initial impact of the epidemic, the lingering impact and uncertainty still affect individual purchasing power.

In recent years, with the widespread popularization of outdoor sports culture and sports awareness in China, outdoor activities have evolved from a niche interest to widespread sports and relaxation in society. Especially against the backdrop of the pandemic and the reduction of social distancing, low-intensity and recreationally lightweight outdoor activities have gained popularity among urban youth. Consequently, the popularization of lightweight outdoor activities has led to the flourishing development of the market for lightweight outdoor activity brands. This study takes the Beneunder brand as a case study, utilizing the SWOT analysis to explore the brand's marketing strategies in the Chinese market systematically. A detailed analysis and summary of the strengths and weaknesses of its marketing strategies will be conducted, and corresponding strategic and optimal suggestions will be proposed. Beneunder, with its co-branding efforts, accurate market positioning, and mature sales channels, has successfully entered the Chinese market for lightweight outdoor activities. However, challenges arise due to weak offline sales capabilities and insufficient investment in scientific research, hindering the brand's development. Faced with competitors from specialized outdoor brands and the impact of negative public sentiment, Beneunder must seize market demands and enhance product design and quality to further achieve brand upgrading.