The news of Microsoft spending huge amount of money doing acquisition of Activision Blizzard shocked many game players. It was questioned by people. Why did Microsoft choose to acquire Blizzard under the condition that Blizzard seemed going downhill with its management and was stuggled with its employee sexual harrasement scandal? Why is Blizzard still worth so much value for Microsoft? What can Blizzard bring to Microsoft and what are the risks? Is the real purpose of such a big action by Microsoft just to expand its gaming business? Is the “metaverse” mentioned in Microsoft's announcement the real mission? This article is going to use the SWOT analysis to fully analyze Blizzard's own strengths and weaknesses, and to discover what kind of opportunities and threats it can bring to Microsoft in the industry it is in, to explore the things behind the game itself, but the key to open the door of the possibility and the success of a new area.

On March 10, 2023, Federal regulators shut down Silicon Valley Bank, the 16th-largest bank in the country. As a result of the significant run, the bank was forced to file for bankruptcy. The purpose of this paper is to analyze the borrowing and triggering factors of black swan events by taking the Silicon Valley Bank bankruptcy event as an example, and to discuss the revelations and reflections of black swan events from the perspective of risk management based on the definition and characteristics of black swan events. Black swan events are those rare, unpredictable events with great impact, while bank bankruptcy events imply significant changes in the stability of the financial system. The failure of Silicon Valley Bank exposed the vulnerability of the banking sector and raised depositors' concerns about bank withdrawals and the cash flow crisis of global technology companies. Thus, the failure of Silicon Valley Bank has important lessons for future bank management and regulation. This paper argues that for most people, the failure of Silicon Valley Bank was not a black swan event, but even for many professionals, the impact of bank failures is unpredictable.

Economic mathematical models are essential tools for comprehending intricate economic phenomena, shaping policies, and aiding decision-making. This paper provides a comprehensive analysis of the positive and negative effects of these models on individuals in the context of economic analysis and decision-making. The benefits of economic mathematical models lie in their ability to enhance understanding through data-driven approaches and advanced algorithms, enabling evidence-based policy formulation and solutions to economic challenges. Moreover, economic models play a crucial role in policy formulation, enabling proactive analysis to minimize unintended consequences and maximize policy effectiveness, benefiting both individuals and society. These models also aid decision-making by providing quantitative frameworks to evaluate different options, reducing uncertainty and risk. However, it is essential to acknowledge the limitations of these models, as they are simplifications of reality and may lead to biases and inaccuracies in predictions and recommendations. Ethical implications arise when decision-makers prioritize economic efficiency over social welfare, potentially leading to unfair outcomes for certain individuals or groups. To address these concerns, this paper presents case studies illustrating the successes and shortcomings of economic models in real-world applications. It also explores alternative methodologies, such as qualitative research and mixed-method approaches, to complement economic analysis. By fostering informed discussions on the appropriate role of economic mathematical models, this research contributes to the development of more equitable and effective economic policies that benefit society as a whole.

As an emerging economic model, sharing economy has been widely used and promoted on campus, such as library book sharing, database resource sharing, MOOC platform, shared bicycles and shared laundry. The campus service-based sharing economy aims to enhance efficiency and convenience within the campus by sharing resources and services. Taking the shared laundry service of Jiangsu University of Science and Technology as an example, this paper discusses the product of campus service-based sharing economy, and analyzes its impact on campus environment and student life. The study found that shared laundry services reduce the burden on students' lives and promote the efficient use of campus resources by providing convenient and economical laundry solutions. However, the service also has some shortcomings in the implementation process, such as equipment problems and health problems. In view of these problems, this paper puts forward some solutions and looks forward to the development of a campus service-oriented sharing economy in the future.

This paper comprehensively assesses the financial performance of two industry giants, Coca-Cola and PepsiCo, in the carbonated beverage industry. With their rich histories, distinct business strategies, and longstanding competition, these two companies have drawn significant attention from researchers. This paper aims to delve deeper into their financial performance, examining key aspects such as profitability, efficiency, liquidity, solvency, and market value. Drawing on financial statements from 2019 to 2021, this paper employs various matrices to evaluate the performance of both companies on a year-on-year and a like-for-like basis. The findings indicate that Coca-Cola possesses a robust portfolio of soda brands, surpassing PepsiCo’s billion-dollar soft drink brands. However, PepsiCo showcases a superior ability to innovate and navigate risks within the industry. Conducting a comprehensive assessment of the financial performance of Coca-Cola and PepsiCo can significantly enrich the existing body of research.

Momentum strategy, a popular approach since the 1990s, has seen various successful iterations over the years. However, with the market environment evolving considerably in recent times, this study seeks to explore the efficacy of a specific momentum strategy on the S&P 500 in the past five years. The hypothesis centers on the correlation between returns and the moving average, serving as a momentum indicator. A simple linear model relating the two is trained using historical data, and the subsequent strategy is formed based on the model's parameters. Different lookback periods are considered, leading to an evaluation of diverse strategies. Despite the strategy's simplicity, findings suggest that it might struggle to thrive in real market conditions. There are some strategies that beat the benchmark under ideal conditions, but all of them loss when the transection fees are taken into account. The analysis uncovers situations where momentum strategies can indeed be effective. This underlines the potential for further research and the development of a more sophisticated, precise strategy that mirrors real market dynamics with greater accuracy.

Global new energy vehicle (NEV) technology is developing rapidly. There is an increasing preference for pure electric vehicles in urban areas, driven by environmental awareness and vehicle cost considerations. It is worth noting that the adoption rate of new energy vehicles in China has increased significantly, making it a key market for sustainable transportation. Among the major players in the market, BYD is a well-known brand based on its strong battery technology and successful foray into electric vehicle production, topping the list of energy vehicle sales in China. However, while BYD has achieved success, it is also facing challenges in the future. The purpose of this study was to explore how BYD can maintain its sales dominance in the Chinese market and to provide key insights and strategic recommendations to further expand its global market share. This article examined foreseeable and unforeseen market changes, with particular emphasis on addressing issues related to market competition, charging infrastructure, and government policy. For the above three issues, this paper gave suggestions such as emphasizing product differentiation and increasing R&D investment, cooperating with the government, and establishing a solid relationship with policymakers and industry associations. By identifying and addressing these challenges, this study aimed to contribute to BYD's sustainable growth and success in the dynamic new energy vehicle industry.

The COVID-19 epidemic has transformed the sports brand industry, with a greater emphasis on health and fitness, resulting in increased demand for sports brands such as Lululemon. Lululemon, on the other hand, faces difficulties in acquiring and retaining male customers. Lululemon's gendered image has historically turned off male customers. As a result, the purpose of this case study is to investigate techniques for preserving and improving male consumers' purchasing willingness. Rebranding efforts highlighting positive male experiences, as well as cooperation with male sports figures, are required to address this. Inconsistent product quality control has also affected Lululemon's reputation. Strengthening supply chain management, internal quality control, and consumer feedback mechanisms is essential. Lululemon's lack of male-specific product designs and limited size options are other obstacles. Understanding male preferences and introducing styles that cater to their needs and diverse sizes will attract male consumers. By addressing these challenges, Lululemon can thrive in the male market, strengthen brand loyalty, and drive growth. Practical recommendations will provide insights for Lululemon and other companies seeking to expand in the male market.

With the development of technology and social software for live streaming, slow live streaming is gradually becoming popular in the small red book. Slow live streaming is viral among customers in terms of customer value, convenience, and communication and dramatically increases consumers’ willingness to buy. Thus, the purpose of this study was to explore why slow live streaming is becoming more popular and influencing the desire of customers to buy. This article took the Xiaohongshu’s slow live streaming as a case study to analyze the data using the Marketing mix theory of 4Cs to analysis. Firstly, the reason is consumer value. To keep this strategy, Xiaohongshu can launch gifts, expand the labels and target groups, and use advertising and invite celebrity testimonials. Secondly, the reason is convenience. To develop this strategy more, Xiaohongshu can set up a backend warehouse to ensure that the goods are stored. Third, the reason is communication. To keep this strategy, interactive activities can be added to the live stream. This article reinforced the marketing mix theory to analysis the extension of the marketing mix of 4C theory and identified the strengths and areas for future improvement for Xiaohongshu’s slow live-streaming approach.

Trade is one of the significant contributors to carbon emissions because it promotes transportation and merchandise production. With the threat of global warming, it is essential to study how trade influences carbon emissions and what are the potential solutions. This paper tests the correlation between trade openness and carbon emissions in different continents and regions. Using panel data analysis, the regression result suggests that the relationship is positive in Africa, South America, Asia, and North America, while it is negative in Europe and Oceania. Moreover, positive relationships are also observed in afCFTA (African Continental Free Trade Area) and non-afCFTA, while EU (European Union), non-EU regions, GCC (Gulf Cooperation Council), and non-GCC regions display negative trends. The result verified that developed regions are generally more efficient at carbon emissions compared to under-developed ones. Therefore, high-income continents need to aid low-income continents with carbon reduction. Countries located on a low-income continent should insert more effort to reduce emissions when they intend to boost trading with other countries. The regression coefficients also suggest that non-EU and non-afCFTA countries should join the free trade agreements from an environmental aspect. All regions should not neglect emissions when trading and adopt strategies based on local characteristics to combat the increasing global emissions together.

With the continuous development of modern financial system, the gold market and stock market have gradually become a hot topic of research in the financial field. Many scholars have conducted deep research on gold and stock price. The ARIMA model is used in this paper to investigate the time series of the gold price and its relationship with stock price by using LBMA gold price and S&P 500 Index data between 1980 and 2022. According to the results of research, the gold price shows an upward trend over the entire period and would fluctuate within a certain range in short term. Moreover, gold price is positively related with stock price. And when there is a rise in gold price, there would be a rise in stock price. This study uses newer data to fill the gaps in the field and provide reference for investors and central banks. Finally, this paper has some shortcomings. The study should further discuss the optimality of the model and data.

With the development of globalization, the fluctuation of international commodity prices has an important impact on the global economy. By examining price data for major commodities such as crude oil, soybeans, copper, and gold between 2018 and 2023, and exploring the transmission mechanism to inflation in different countries, we attempt to uncover the nature of this effect. By analyzing the transmission path of commodity prices to inflation, we delve into how these commodity price fluctuations affect inflation levels in different countries.This article find that its price fluctuations tend to cause a chain reaction around the world, which has an important impact on inflation. However, we also recognize that the impact of international commodities on inflation is subject to a combination of many factors. Domestic economic conditions, the flexibility of monetary policy, the balance of supply and demand in the market and other factors also have an important impact on inflation. Therefore, in this study, we try to consider these factors in order to explain the formation mechanism of inflation more comprehensively. In the future, we recommend paying closer attention to the dynamics of international commodity markets and their complex relationship with inflation to better address global economic challenges.

Inflation represents the continuous rise of the overall price level of a country. In severe cases, it may cause an imbalance between social supply and demand and lead to a crisis of currency confidence. Therefore, it is necessary to measure and predict the level of inflation. The CPI index is an important indicator to measure the level of inflation, which can largely reflect the national economic situation in a certain period. This paper conducts research by selecting the urban and rural CPI data of the National Bureau of Statistics from January 2007 to June 2023, a total of 198 months. After data processing and inspection, this paper use ARIMA model to forecast. The experimental research results show that the ARIMA (12,0,1) model and the ARIMA (12,0,0) model have good predictive effects on the CPI index of cities and villages respectively. In the short term, the ARIMA model can accurately predict the changing trend of the CPI index, with an error rate of less than 0.5%. The model predicts that China's urban and rural inflation from June 2023 to June 2024 will be stable and improving overall.

This research study delves into the impact of financialization on China's economy, focusing on three potential crowding-off effects resulting from the country's growing financial sector. Firstly, the study examines the "Financial Resource Diversion" effect, investigating whether the financial sector's expansion has overshadowed China's real economy. Secondly, the research explores the impact on households. It is based on the theory that the financialization of the market could have external effects on household real wages. The emergence of China's middle class may lead workers to rely more on transferring their labor to financial assets. Employing empirical analysis, the article examines the relationship between household financialization and labor income to analyze the potential trade-offs between financialization and real labor income. The study then discusses the potential impact of capital accumulation resulting from over-financialization in China. It investigates the relationship between the financial sector and the overall economic trends in the country. The primary objective of this study is to highlight the problematic nature of financialization.

In order to address global environmental issues such as climate change, countries around the world have introduced climate change policies, such as the Kyoto Protocol and the Paris Agreement, to limit global carbon emissions. China has actively responded to climate change and other political and economic issues and proposed the "Dual Carbon" strategy in 2020, vigorously developing clean energy and promoting the green and low-carbon transformation of industries. This paper analyzes the impact of "carbon trading" on the "carbon management" of Hua Yin Electric Power from the perspective of ESG analysis, focusing on the environmental, social, and corporate governance aspects. The study aims to summarize the management experience of Hua Yin Electric Power in "carbon management" and provide reference for further optimizing and improving the "carbon management" in the power industry. Hua Yin Electric Power, as a leading company in the power industry, is representative and has reference significance for the optimization and improvement of "carbon management" in the power industry.

The 'double carbon' goal refers to China's commitment to reach peak carbon dioxide emissions by 2030 and achieve carbon neutrality by 2060. However, achieving a low-carbon transformation requires more innovative technologies to support it. The concept of blockchain is one of them. Blockchain technology has characteristics such characteristics and advantages are also applied to achieving carbon emission goals. In order to integrate blockchain technology into the governance of the double carbon goal, it is necessary to understand the blockchain technology and the double carbon field, which poses significant regional barriers to research. At present, most research is based on the practice of the double carbon goal, including the impact of the carbon market on the double carbon goal. In this article, the authors analyzed the impact of blockchain characteristics on the carbon market (including carbon emissions and carbon offset systems). Through its numerous strengths, blockchain technology has the potential to offer robust technical backing for the carbon trading market, thereby fostering its swift growth and innovation.

Since entering the 21st century, China's progress in modern medical systems is very obvious, and it has gradually narrowed the gap with developed countries. However, in the field of modern medicine, China's start is decades later than Western countries, so there are still some gaps. This report will start from three aspects: Sino -US modern medical system structure, medical insurance system, and medical supervision, comparing and analyzing some primary data, the following three suggestions are put forward: further, diversify the medical and health system with Chinese characteristics; improve the basic medical unit based on the community construction to reduce the waste of medical resources; simplify and improve the drug registration and approval process, to apply it to the grassroots as soon as possible. This report aims to conduct a comparative analysis of the modern medical systems in China and the United States, find solutions that can be improved, and improve the modern Chinese medical system.

In this paper, Monte Carlo simulation is used for constructing Efficient Frontier and optimizing the portfolio. Then the performance of the optimized portfolio had been evaluated and compared to the performance of the whole market, Firstly, this study collected the closing prices of five stocks in different industries that was listed in New York stock exchange between 2023/01/01 and 2023/04/12. Secondly, to testify if the construction of the portfolio can possibly mitigate the volatility, the correlation coefficient between these chosen stocks has been calculated. Then, Monte Carlo simulation has been used to construct the Efficient Frontier and find the weights of Maximum Sharpe Ratio portfolio and Minimum Variance portfolio. Lastly, this study put the market price data between 2023/03/12 and 2023/04/12 into the portfolios which had been built in the last step. The returns were compared to the S&P 500 subsequently. As the results shows, the Maximum Sharpe Ratio portfolio is performed better than S&P 500, Minimum Variance portfolio is performed worse than S&P 500. The results of this paper show the performance of these two portfolios compare to the market, which may help investors to decide which strategy to use when it comes to constructing a portfolio.

With the burgeoning global concern over climate change, nations around the world are vigorously embracing the low-carbon economy. As the primary exporter of automobiles, China faces significant carbon emissions, a factor that substantially diminishes its product competitiveness in the international market and hampers efforts towards sustainable environmental development. This research paper focuses on discussing the impact of a low-carbon economy on the international competitiveness of China’s automobile export. Through qualitative analysis, the study primarily reviews existing literature, highlighting the crucial roles played by technology factors, demand structure, and capital in shaping the industry’s international competitiveness. This paper finds an inverse correlation between the average fuel consumption and China’s automobile industry’s revealed comparative advantage. This suggests that fostering a low-carbon economy could potentially enhance international competitiveness in global trade. The findings of this research hold significant implications for policy makers that they can utilize this knowledge to formulate strategies aimed at reducing carbon emissions. Hence, it propels the progression of a low-carbon economy and elevates the worldwide prestige of China's automobile industry.

In response to the phenomenon of overheated inflation after the Covid-19 pandemic, the Federal Reserve began to continuously carry out substantial interest rate increases, which has also caused financial markets to suffer heavy losses for a time. Consequently, the emphasis of this study lies in how monetary policy such as the effective federal funds rate and quantitative easing affect the monthly return of S&P 500 index. This paper collects monthly data between July 2004 and June 2023. This paper finds that the impact of effective federal funds rate on the stock market returns is insignificant. The fourth round of quantitative easing significantly affected the stock market returns, that with the quantitative easing the stock market rerurns increase by 2.786 percent. The inflation has a significant and consistent influence on stock market returns, which decreases by 0.4% for every 1% increase in the CPI index. Therefore, the volume of quantitative easing and the pace of asset purchases significantly affect stock market returns.