The arrival of the metaverse era, the birth and development of digital currency, and the creation and improvement of the blockchain platform. How does the cryptocurrency sector in the financial markets attract more and more investors? Is it a risk or an opportunity? Digital currency is the product of The Times, keeping pace with The Times is the trend of social development, and seeking advantages and avoiding disadvantages is a necessary condition for operation. This paper through the definition of the metauniverse, the rise of the metauniverse era and unknown, cryptocurrency types, judgment and analysis, digital platform trading and loopholes, analyzes the cause of the virtual currency market instability, as a rational investor, under the premise of self-financing, should be in this field of what financial theory can be as profitable as much as possible. How does FSV stand out, how does it operate, and what is its potential? It also describes the Kepler market for the recent hacking attack and the reasons for the birth of blockchain.

Since the covid-19 outbreak, the development of the macro-economy has been blocked and the vendor economy has returned to people's vision. In the post epidemic era, how to eliminate the adverse effects of vendor economy through effective means to make it more standardized and further explore the relationship between urban culture and vendor economy will be the core content of the research report. Based on the public perspective, this research explores the public's recognition of relevant measures and the current situation of the combined development of vendor economy and urban culture by issuing online questionnaires, conducting field research on night markets and stalls in Jinan, Yantai and Weihai and consulting literature materials. Through various surveys, people believe that the government should take more targeted and detailed measures to regulate the vendor economy, and most people are optimistic that the combination of the vendor economy and urban culture will lead to a synergistic development.

One of the most well-known examples of game theory and a significant element of economic theory is The Prisoner's Dilemma. The Prisoner's Dilemma is one of the best instances of the conventional non-zero-sum game in game theory, which demonstrates that the group does not always represent the best option for individuals. When major brands and companies are engaged in competition, the Prisoner's Dilemma model is used to examine strategic choices and price setting. Everything 30min and MeiTuan, the two major participants in the takeaway market, would be excellent instances for using the Prisoner's Dilemma model. This paper analyzed the two companies in a similar prisoner's dilemma in the price war, how MeiTuan is a newcomer to the industry is how to break the everything 30min monopoly and enter the market with its share of the market. Finally, this paper integrated the dynamics of the price-matching war between the two big competitors with the prisoner's dilemma to come up with three suggestions. Additionally, these three suggestions can further help them out of the prisoner's dilemma like the price-matching war.

In the era of global economic integration, economy and science and technology have in-creasingly become the decisive factors of international competition, and among them, enter-prises have increasingly become the main body of competition. Therefore, in recent years, major enterprises have increasingly improved the core competitiveness of their enterprises, and the research on human resources has become more and more in-depth. To maximize the benefits, in recent years, companies around the world have gradually realized the im-portance of high-level talent to their company's capabilities. However, due to various prob-lems, such as information asymmetry caused by adverse selection, it is increasingly difficult for companies to select real talents to contribute more to themselves. Through the estab-lishment of the game theory model, this paper discusses the benefits and losses for employ-ers and applicants and finds the best employment recruitment scheme. The research results show that the information asymmetry in the recruitment process will greatly reduce the effi-ciency of enterprises to find talents, and cause losses to both recruiters, so this paper puts forward relevant suggestions for the problem of information asymmetry to make up for the information asymmetry of the double-reverse, to promote the absorption of outstanding tal-ents by enterprises and drive the development of enterprises and economic recovery.

Wine reviewers and the general public usually determine the quality of the wine. There is a great deal of subjec-tivity in such reviews and differences in the reviewers' preferences, making it difficult for the winery to obtain favorable information. This paper will use Excel to build a related model of chemical substances in wine and wine quality. Both linear and logistic regression is used in this article to predict wine quality. In addition, differ-ent from past literature that indicates the quality of red wine based on chemical substances, this paper creatively constructs a profit model based on predicting wine quality. It thus helps wine sellers to make model selections. All these can help producers understand how to make good wine and get higher profits.

Since the beginning of 2020, the spread of COVID-19 around the world has caused the economy to suffer greatly. Many chain stores and private stores are affected by this. Studies have shown that as the economic environment becomes unstable, companies will gather together to seek the possibility of joint risk protection. This article is based on Elon Musk's announcement of the acquisition plan for Twitter on social media and studies the impact on Musk's management company and Twitter users if the acquisition is successfully implemented. Mainly through literature analysis and case analysis. The subjects of the study are Musk and Twitter, both parties to the merger. The source of data is mainly through public data of listed companies. As far as the research results are concerned, no matter whether the merger can be successfully completed or not, it has already brought a negative impact on the stock prices of both parties.

In 2020, COVID-19 spread across the country, which had a huge impact on people's lives. In order to control the continued spread of the epidemic, the country has adopted a policy of production, suspension of work, and home quarantine, thus reducing the movement and contact of people. The emergence of COVID-19 has had a huge negative impact on China's current economy, especially the real economy. In this article, we will discuss the impact of the emergence of COVID-19 on China's real economy and how we should respond to it in order to promote social progress and support the country's economic development.

This study aims to empirically study house prices and their relationship with China's critical economic and financial metrics. The key metrics include interest rate, inflation rate, and stock index prices. This study shows that stock index prices do not significantly impact house prices in China. At the same time, long-term interest and inflation rates positively impact house prices in China.Additionally, short-term interest rate possesses a negative im-pact on house prices. This can shed light on policymakers in China when making economic decisions to influence house prices in China. On top of this, this study also compared house prices and real estate stock index prices and concluded that the two differ significantly.

Huawei is a Chinese multinational telecommunications and information technology conglomerate that was established in 1987 and has its headquarters in Shenzhen. HUAWEI initially focused on the production of cell phone switches, However, since that time, it has broadened its scope of operations to encompass the development of telecom networks, the provision of equipment to enterprises, as well as consulting and operational services. The corporation was expected to have employed around 194,000 workers by the end of 2019. There are currently roughly 170 nations throughout the world in which HUAWEI offers their products and services. The mission of the company is to ensure that every person and organization in the world is digitally connected in order to realize the full potential of the company's vision. The strengths, weaknesses, opportunities, and threats of Huawei's corporate strategy are examined in this article using a SWOT analysis. This article offers advice for Huawei's long-term growth as well as pertinent theoretical insights for the same class of private communication firms while undertaking strategic analysis and strategy optimization. This study concludes that Huawei's current successes are indissolubly related to the appropriate positioning of its corporate strategy.

The study of its impact on the global macroeconomic environments and the world oil mar-ket since the COVID-19 outbreak and the relationship between the two will help people in the post-epidemic era to deepen their understanding of the current global economic situa-tion, to have a perception and thinking about the situation of The Times, and also help us to discuss and explore how to deal with the relevant situation. Thus, it can achieve better sur-vival and development under the severe world situation and the background of The Times.

Under the general environment of COVID-19, the global economy has been hit to varying degrees, which makes inflation more severe than before. Inflation has increased the cost of raw materials and labor, which has affected different industries to varying degrees. On the one hand, the price is rising, and on the other hand, the consumption level and consumption are declining due to COVID-19. This impact is more evident for some enterprises that pre-fer offline marketing models. Because of the effects of COVID-19, many enterprises that focus on offline marketing but ignore the diversification of marketing channels have further increased their losses or even gone bankrupt. Therefore, it is necessary to carry out market-ing reform in this case. This paper analyzes the characteristics of the COVID-19 environ-ment and successful transformation cases and uses the process tracking method in case stud-ies. By summarizing the methods used in successful cases and generalizing them, people can sort out plans suitable for most enterprises' transformation and provide some ideas for some companies that do not know how to transform.

Extrapolation bias is a popular topic recently in economics and finance. Many researchers have become interested in this bias because it can explain many anomalies that a rational model cannot. This paper is a simple review of extrapolation bias, including its definition and bias. After reviewing past research on extrapolation, this paper selects a comprehensible definition, and three applications that can represent the recent research on extrapolation: the investor behavior model, the bubble model, and the house price model from three different top papers. After the review, it can be concluded that extrapolation bias has a wide applied range especially, in the financial market and asset pricing, and can explain many financial anomalies.

Coca-Cola is one of the most popular beverage brands in China, and a large part of its success can be attributed to the marketing approach that the company employs. The general population is the focus of the advertising and marketing campaign that Coca-Cola follows in an effort to increase both its brand recognition and brand loyalty. Therefore, this paper focuses on the marketing strategy of Coca-Cola in the Chinese market. It can be concluded that Coca-Cola's marketing strategy in China takes into consideration a wide variety of factors, including culture, demands, demographics, and age. It differentiates itself from its competitors by using unconventional public relations and advertising strategies. Coca-Cola is able to achieve the level of success it has always sought by implementing a marketing strategy in China that considers all aspects of the market, including price, promotion, advertising campaigns, product differentiation, and target audience.

Many of the current models for house price prediction focus on the house price index itself or include too few factors. In this research, however, different aspects of housing properties (bedrooms, bathrooms, grade, view, etc.) will be incorporated to generate a more accurate prediction model. Doing so not only remedies for a lack of variables in current models but also benefits the consumers by providing an accurate estimation of housing values. This paper examines the estimation methodology of a multiple linear regression model. To get the optimal prediction power and keep the model as simple as possible, different variable combinations will be tested. Through comparing different regression models and analyzing the regression results, the predictive model introduced in this paper has a high house price prediction power. This paper provides a potential solution for the prediction of the house price in the King County, Washington.

In recent years, the development of traditional retail and e-commerce has fallen into difficulties, and various factors have led to the emergence of new retail, which is a new balance mode of the previous two. This research is based on theory, with FRESHIPPO as the research object, its operation strategy is studied and analyzed, and through the research business model it encouraged, it promotes the new development of fresh goods sales. This paper mainly analyzes the operation strategy of FRESHIPPO through Strengths, Weaknesses, Opportunities, and Threats (SWOT) and The Marketing Theory of 4Ps(4P theory). This paper finds that there is a lot of room for progress for the fresh industry in the new retail industry, the industry's digital management is not very perfect, and in cost saving, it can also have a great improvement.

The stock yield has been widely focused and concerned in the society. Some researcher found that the stock yield is influenced by different kind of economic or even political factors. However, the research in factors of stock yield is still blank in unified explanation. Therefore, the author is devoted in unifying and clarifying the relationship between stock yield and different factors. The method is described underneath: collect the data of different stocks (for example: SSE), using FF model, a common model based on triple-factor model, to analyze the data after the collection. After several trials and experiments, the answer to the research gradually emerged. Eventually, it is found that the stock yield is tightly connected with macro or micro factors, the volatility depends on even a single wave of a single factor. None of the factors could be ignored or gave up. Carefully watch the waves and changes of different probable factors is what the governments, the entrepreneurs, the investor or civilians have to do.

Hong Kong port used to be the leading position in the world, but it has recently declined. The essay will find out the reason why Hong Kong port loses its leading position; the essay conducts an in-depth study of Hong Kong port and Singapore port: comparing the features and patterns of Singapore port and Hong Kong port; listing the data of Singapore port, Hong Kong port, Shenzhen port and Guangzhou port from 2004 to 2020; analyzing the de-velopment trend of these ports. The essay concludes with two reasons explaining the decline of Hong Kong port. One is that the user base of Hong Kong port is weak, and the other is that Hong Kong port has no geographical advantage over its competitors.

The revolution in information technology has produced a thriving digital economy. The dig-ital economy has spawned several new enterprises and altered the labor structure of human society. In tandem with the development of a sustainable economy, a corporate energy tran-sition has occurred. This is accompanied by a reorganization of employment. This article examines two Chinese provinces with fast-expanding digital economies. This article will examine the relationship between unemployment, the degree of the digital economy, and the generation of renewable energy through time. The results of the competitive modeling study based on differential equations for 2015–2020 indicate that the development of the digital economy has an effect on unemployment, whereas renewable energy may or may not have an effect on unemployment. And there is minimal interaction between the internet economy and the economy of renewable energy. There is no association between the growth of the digital economy and renewable energy sources.

The financial report data released by Luckin Coffee shows that Luckin Coffee's self-operated shops were revived at the end of 2021. In 2020, Luckin Coffee announced that the number of directly operated shops reached 4,507, surpassing Starbucks and becoming the largest coffee chain brand in China. As an emerging coffee brand in China and a pioneer of Internet coffee in China, Luckin Coffee's business design and marketing strategies have important and rich implications for the shaping and development of similar brands in China. In this paper, through the joint study of Luckin Coffee's commercial design and marketing strategies, it is concluded that the commercial design of Luckin Coffee is an important means of marketing promotion and the marketing strategy is one of the purposes of its commercial design. On the one side, Luckin Coffee’s commercial design brings convenience to its marketing; on the other side, its marketing strategies promote continuous innovation of commercial design. The two complement each other and together bring a positive contribution to the brand image and corporate interests.

From the perspective of investor attention to market stocks, this paper analyzes investors' visitor volume of certain stocks and sentiments of stock indexes. I compare the search vol-ume and stock prices of Apple and Tesla to specifically observe the relationship between stock prices and investor attention in individual companies. Then I examine the search vol-ume and index of SP500 and SSEC to explain the significant disparity in the impacts of in-vestor attention in different regions. It shows that increased attention is positively related to stock price volatility, i.e., positive emotional signals (negative emotional signals) will lead to higher (lower) stock prices.