Today's world is a changing world and Economic globalization will be an irresistible trend. There are so many uncertain event factors like the global covid-19 epidemic, global China–United States trade war and Brexit etc. Those events are all affecting the global economic growth. However, will the affection be one-way or two-way? This paper focus on investigating the interaction between China and American’s Stock Index. In this study, the stock index Standard and Poor's 500 (S&P 500) in America and China Securities Index 300 (CSI 300) in China from 01/09/2021 to 01/09/2022 are selected as data, and the VAR model is established to capture the relationship between China’s and America’s stock variation. The following conclusions can be drawn from a study of the results: first, VAR model is convergent as the period of the time increases. Second, the impact of the Impulse response will last for about 10-14 periods. Third, from the variance decomposition, the affection from CSI 300 to S&P 500 will stabilised at around 10.993% and from S&P 500 to CSI 300 will stabilised at around 2.77%. The results in this paper benefit the related investors in financial markets.

The rapid development and large-scale application of artificial intelligence, data mining, big data, and cloud computing have already led to dramatic changes in the ecological conditions of social and economic agents. Under the rapid technological development, traditional commercial banks are facing problems such as insufficient development momentum. Therefore, to accelerate its digital transformation, financial technology (fintech) has prompted the banking industry, so as to keep up with the development trend of the times and empower the innovation of commercial banks. Specifically, by analysing the current situation and the impact of the relevant major fintech on the development of the banking industry, this paper aims to gain insight into the advantages and directions of the transformation. The final conclusion of this paper is that, currently, all regions are spending more money on investing in the fintech industry. However, the underlying technological strengths are unevenly developed, with Europe and the US being the most prominent and the Asia-Pacific region catching behind. Fintech represented by artificial intelligence, big data, and cloud computing, can reduce banks' operating costs, helping them accurately profile their customers and intelligently do marketing.

The number of applicants for civil service posts has increased year by year, and the phenomenon of "Civil Servant Craze" has heated up again. Some scholars have made a quantitative analysis of the causes and effects of this phenomenon from the perspective of sociology and economics, but there are still few literatures using case studies. Therefore, this study will take Zhanjiang as an example to conduct case analysis, collect the employment information of civil servants in Zhanjiang in recent years, and understand the current academic background of the employed civil servants in the city and its changes. The "Civil Servant Craze" may be related to traditional concepts, civil servants' income, and its job stability. In addition, most of the people employed in Zhanjiang are graduates of non-key undergraduate colleges, which may be related to the city preference of high-level (Overseas, Project 985, Project 211, Key undergraduate) universities students for employment and the different employment pressures of graduates of different levels during the epidemic.

In the context of the increasing awareness of sovereignty in the world and the changing relationship between China and the United States, the employment situation of Chinese students after studying in the United States is one of the hot issues of concern in today's society. For international students, the employment situation at home and abroad is changing and has changed dramatically, and the phenomenon of devaluation of "returnees" is becoming more and more common compared to the early days of reform and opening up. The research method of this paper is SWOT analysis, and the specific research methods are as follows: collecting the employment-related data of Chinese international students in the US in recent years, comparing the employment situation of international students at home and abroad by using SWOT analysis, and making a comprehensive analysis and evaluation of the employment situation of Chinese international students returning to China and staying in the US. To sum up, in the age of information technology, a large amount of information can be collected beyond geographical and spatial restrictions, and international students can even obtain information on time abroad. From the above, if the barriers to learning are removed, international students can overcome the obstacles and make up for the shortcomings with their own efforts.

As the world's second-largest economy with a population of 1.4 billion people, China has the world's most sophisticated industrial chain and occupies a critical position in the glob-alized world economic market with a strong manufacturing sector and a promising service sector. With a market mechanism that is very different from the free-market economy popular in the Western world, such as a completely different proportion of taxation, usual-ly the influence of the political system, the Chinese market often operates with huge po-tential profit margins and potential crises. It is often greatly influenced by policies, espe-cially under the epidemic in 2020. The purpose of this paper is to analyze the general fu-ture directly, exploring current trends from the domestic and international aspects and making a rational economy on a macro level by looking at market operations over the past few years, taking into account current trends, and making recommendations accordingly.

Product differentiation is a key component of market structure, according to the theory of industrial organization, and the degree to which enterprises control the market depends on how well they differentiate their products. In addition, the company generates enough uniqueness in the components making up the product entity or in the delivery of the prod-uct to distinguish it from competing goods of a similar nature and draw in customers, earning their preference and loyalty. This paper introduces the causes of product differen-tiation, analyzes its application in the market and the implementable strategies for enter-prises to achieve product differentiation, and uses some examples to illustrate that product differentiation is a highly visible marketing strategy, which should be widely promoted. At the same time, it also has certain limitations and instability. Products need to establish a variety of different advantages and long-term supply chain between enterprises, cannot blindly exaggerate the role of product differentiation. In the current market environment, the same product categories emerge in endlessly. Therefore, businesses must properly cre-ate differentiation in order to make their products stand out.

The stock index is very important to study the overall trend of the development of financial markets and the development of the stock industry. This paper mainly studies the interaction between stock indexes and the influence of the main fields included in the stock index on the index and related indexes. In this paper, Hong Kong Hang Seng Index and FTSE CHI index were selected for research, and impulse response analysis and variance decomposition analysis were carried out on the data through VAR model. By analyzing the results, the following conclusions can be drawn: First, the model is convergent. Second, the influence from one market to another market persist for several periods. Third, with the increase of lag period, FTSE CHI HK Index was influenced by HK Hang Seng Index and finally stabilized at about 96.1906% and HK Hang Seng Index was influenced by FTSE CHI HK Index and finally stabilized at about 93.995%.

In recent years, the international situation has been unpredictable, changes in the economic environment have profoundly affected people's psychological expectations, and the securities market has experienced different volatility, which brings challenges to the validity of the Fama-French three-factor model. Based on this model, this paper selects 20 stocks in the Chinese A-share market, divides them into six portfolios according to their size and book-to-market ratio, conducts a regression analysis of monthly returns from August 2017 to July 2022, and then verifies the explanatory power of the market factor, size factor, and book-to-market ratio factor on the excess returns of the stocks. The results demonstrated that the three factors can partially account for the variation in returns, with SMB having a more significant impact on small-cap companies and HML on firms with a high book-to-market ratio.

Agriculture, forestry, animal husbandry and fishery enterprises have performed steadily and well during the epidemic period from late 2019 to the end of February 2020. But there is still a gap in empirical analysis, which deserves further research. This study examines the Fama-French three-factor model's application to China's agricultural, forestry, animal husbandry, and fisheries sectors, and analyzing and interpreting the related results. In this study, the daily return data of 27 Chinese agriculture, forestry and fishery listed companies in the past two years were obtained through the RESSET, and divided into six groups of stock portfolios according to size and book-to-market ratio size, and the relevant empirical and regression analyses were conducted for each portfolio using Python and Eviews. The findings demonstrate that the size impact and book-to-market ratio effect are two parameters in the model that have a high explanatory power on the return of the agriculture, forestry, and fishery stock portfolio in the sample period.

Compared with stocks, bond investment can not only reduce relatively large risk losses, but also ensure that the investment status is healthy and stable. However, whether the product trend in the bond market can be used as a tool for monitoring economic conditions is a question worth pondering. This article’s main function is discussing why the bond market is useful and the influence and difference of bond’s maturity and interest rate for the economy and investor. Through the research and discussion of the article, the paper focused on the conclusion that the comparison of the interest rates of long-term bonds and short-term bonds in the bond market in the same period can reflect the overall economic situation of the market to a certain extent, and the significance of this conclusion is that, It can not only enable investors to observe the market trend through the interest rates of bonds of different maturities, and make choices for their next investment decisions, but also enhance the functionality of the financial market and strengthen the connection with the economic market.

When the 5G era comes, everyone is inseparable from the Internet, and the media industry has gradually entered the Internet era. Around the Internet, the media industry has undergone multiple changes. Some researchers believe that the Internet has played a role in promoting the development of the media industry, while other researchers believe that the widespread use of the Internet is not good for the media industry. In response to this issue, researchers hold their own opinions, and there is no unified explanation. The research topic of this essay is the media industry under the background of the Internet, and the SWOT model is used for analysis. The results show that although there are some problems in the development of the media under the background of the Internet, it is not impossible to solve. Once handled properly, the two are not mutually exclusive, but can achieve perfect integration, and the Internet will be a major catalyst for the development of the media industry.

The study intends to investigate whether entrepreneurs who have regular workout habits would attract investors more in the venture capital field. Depending upon the aim, a ques-tionnaire of 19 pages combining 35 questions is provided to a sample of 110 financial practitioners in the venture capital field. The collected data was then examined with the SPSS application. The research data was analyzed using descriptive and inferential statis-tical approaches. The findings will be addressed in the hopes that this research will help to comprehend the relationship between entrepreneurs' workout habits and the chance of get-ting investments.

The rapid growth of China's economy has made the country one of the world's most important markets for high-end goods. In the meantime, China's economic growth has slowed since entering the new normal in 2014, and luxury consumers have become more practical. For this reason, many international luxury brands are fretting over how to break into China's opulent consumer market. The LVMH Group owns a number of luxury brands, including the ubiquitous Louis Vuitton. In light of the foregoing, this research examines the Louis Vuitton brand's marketing strategy in China, specifically its product strategy, pricing strategy, promotion strategy, and positioning strategy. Several suggestions are made to enhance Louis Vuitton's marketing strategy in China based on the findings of this study, such as a push to emphasize the brand's commitment to quality. Several suggestions are made in this report to better Louis Vuitton's marketing strategy in China, including expanding efforts to promote the quality-centered brand idea in the Chinese market, adjusting prices on a case-by-case basis, and bolstering the company's online sales channels. The marketing strategy of Louis Vuitton is examined in this article, which provides not only useful information for the company but also useful information for other domestic luxury businesses.

As an important part of the national economy, the logistics industry is on the road of Internet+ development. Intelligent logistics based on Internet platform is an effective way to cope with the challenges of rapidly changing customer expectations, seize the opportunities brought by new technologies and promote new business models. From the perspective of strategic choice, the purpose of this paper is to take the storage and intelligent transportation of China's large modern integrated logistics enterprises, Zhongchu Smart logistics, as an example to study the strategic choice of traditional freight logistics type of enterprises in terms of business model, service products, technology application, and their own organizational structure when transforming into intelligent logistics enterprises based on the Internet platform. Through the qualitative and quantitative analysis of the relevant aspects of the research object, the core elements of the strategic choice for the transformation and construction of intelligent logistics enterprises are obtained, which provides the basis and reference for relevant enterprises.In this paper, Zhongchu Smart logistics has built an intelligent online freight platform using advanced technologies such as the Internet of Things and big data to achieve enterprise marketing and transportation capacity management, logistics operation process management and services; Extend the network freight platform to the upstream and downstream services of the industrial chain, build a logistics ecology, and coordinate multimodal transport, financial and digital solution services; Building a flat, efficient and fast organizational structure will greatly enhance the competitiveness of enterprises and may occupy long-term advantages in the future development of the industry.

After the outbreak of COVID-19, a huge number of enterprises have been traumatized. This sudden outbreak has had a huge impact on many industries. The first to bear the brunt is the restaurant industry. Almost devastated by the blow, many of the current suspension of business. The tourism industry is also the same. When all industries are in a downturn, the Internet industry has been able to maintain profit growth. In the Internet industry, the growth rate of ByteDance is particularly prominent. This research focused on the strategies ByteDance used during the epidemic that promoted its markets The method of this paper is literature reading and analysis. The data is obtained from the internet. It can be concluded that the success of ByteDance was not a coincidence but had been planned for a long time. ByteDance provides us with an idea of the response strategy for companies in the event of an epidemic, and does a good job of showing how to change out of that painful mindset. It brightens the way of the internet industry's future for the coming years.

The profitability of investors through arbitrage decisions is a topical issue in the economy, and some researchers have found that the study of corporate stocks bonds and markets has a significant impact on investors' hedging, however, there is a lack of uniform explanation of the operational methods and scope of influence behind it. Therefore, this article focuses on four different portfolios to further analyze the importance of market analysis for hedge fund investments. The methodology of this paper is to first select the hedging method we will use, then select two different companies based on various factors such as the recent market and the future trend of stocks and bonds, hedge these two companies on stocktrack, and accept the results after two weeks of hedging. In this paper, four sets of portfolios will be used to enhance the credibility of the article. The results of the study show that the direction of the stock and the general trend of the market are particularly important for investors to make hedging transactions, and that if arbitrage strategies are used arbitrarily without taking into account the actual situation there is a high risk of investment failure. Thus, it is necessary to choose the appropriate arbitrage strategy for hedging based on the future direction of the market and stocks.

As chips become more prevalent in daily life, many countries understand that in order to become self-sufficient, they must build their own semiconductor supply chains. China, a country that has stalled behind in developing chips, is also aware of this. To this end, the government started vigorously promoting investments in semiconductors, turning them into popular business opportunities. Venture capitalists (VC), who typically prefer high risks but greater returns, are responsible for the greatest growth. They think that even though politics and technology have placed restrictions on the industry, there is still room for growth in the semiconductor market. This paper breaks down the recent trends in the semiconductor industry of mainland China, with a particular focus on sensitive points such as political treaties and social phenomena. According to results, the mainland semiconductor industry merits attention and has a promising future. Venture capitalists should look for companies with the following characteristics: highly educated and experienced employees, the ability to design chips independently, and a stable supply chain.

This paper aimed to study the information asymmetry and its causes in the special online shopping method of live-streaming with goods and give related suggestions. A questionnaire was distributed to collect information about consumers' situation in live-streaming with goods and analyze the relevant data. It was found that respondents were not confident about the quality of products on live-streaming platforms, and not satisfied with current situation of live-streaming, Additionally, most consumers had received goods that did not match the description and were skeptical about the character settings of anchors in live-streaming platforms. It is important to strengthen the quality control of goods in live-streaming, improve the identity authentication of anchors, and encourage consumers to consume rationally.

The excess mortality during COVID-19 is significantly higher than the reported death due to COVID-19 infections. This study conducts a cross-sectional correlation analysis between excess mortality and reported COVID-19 death, aging rate, GHS (Global Health Security) index, and government response stringency index in the timeframe from January 2020 to September 2022. This study aims to explore the main contributors to excess mortality, hence to provide guidance on future diagnosis and control of the pandemic. A cross-sectional log-linear model is fitted with 79 observations to estimate the explanatory power of reported COVID-19 death, aging rate, GHS index and stringency index on excess mortality at a global scale. The correlation between excess mortality and reported COVID-19 death is also examined on a nation level by calculating the Spearman correlation coefficient on the time series of the two. The cross-sectional log-linear model has adjusted . The estimate for log of reported COVID death is ; aging rate is ; GHS index is ; stringency index is not significant. On a nation level, Brazil and United States have high correlations between reported and excess death (), the reported death takes up 85% and 86% respectively, of excess death. India and Japan, similarly, have high correlation coefficient (), but with COVID-19 death accounting 9% and 47% of excess death. Germany and China have relatively small correlations between reported and excess death (), but Germany has reported death taking up 89% of excess death, whereas in China the ratio is 4%. At a global scale, the reported COVID-19 death has the most explanatory power in excess mortality, which means that most of excess mortality is attributed to death from COVID-19 infections. Aging rate has a negative correlation between excess mortality, this is partly because of the preference of aged population to live in countries with better health care capacities. There is no significant explanatory power of stringency index on excess mortality, suggesting that the impact of government responses on COVID-19 vary by each nation. On a country level, the correlation between COVID-19 death and excess mortality can also vary, mostly due to the different levels of health care disruptions, efficiency and impact of government measures and other COVID-19 unrelated events such as wars and heat waves.

Macao, known as the "Monte Carlo of the East" and the "Las Vegas of Asia", has suffered a huge impact and unprecedented impact from the COVID-19 pandemic since its return to China. The negative impact of the pandemic has hampered the flow of people, reducing the number of tourists to Macao and the profitability of related industries, which has affected the revenue of Macao's gambling industry. This study used data research to study Macao's gambling industry and analyzed the impact of COVID-19 on Macao's gambling industry through relevant data before and after the epidemic, obtained from the Macao Bureau of Gaming Supervision, the Macao Bureau of Statistics, news media, and other channels. In addition, according to the current situation in Macao, if the gambling industry wants to recover from the status quo of difficult long-term development caused by the single industrial chain and the impact of physical casinos caused by the epidemic, it is necessary to clarify the development ideas, improve the industrial chain, and establish a diversified industrial system.