This study investigates and predicts the stock price of Shanghai Securities. Our analysis lemma the C-K equation，n step transition to predict the stock price of Shanghai Securities. In this paper, we have put our model into different stocks in reality to test its feasibility. Finally, we envisaged the probable scope for this approach and listed some shortages of using Markov chain in predicting stock price. A great discovery in this page is that utilizing the stock's Markov property; we concluded that Shanghai Securities is martensitic. Also, we have proved the economic benefit of this numerical model.

Global warming has become a hot issue of common concern to the international community in recent years. With the frequent occurrence of extreme weather events, reducing carbon dioxide emissions has become a priority for governments. The Paris Agreement makes it possible to connect carbon trading platforms of various countries and set up a global carbon emission rights exchange. The carbon price is affected by many factors, among which energy price, economic indicators and temperature are important factors. This paper compares how carbon prices fluctuate in response to different influencing factors in China and Europe. The reason for these differences is that China and Europe have different emission reduction policies, economic systems and energy structures. Research shows that the same influencing factor has a different impact on the carbon price in China and Europe. Participants in carbon trading may find this study useful in helping them comprehend the variations between the carbon trading markets in China and Europe.

In the dual context of digital transformation and intergenerational inheritance of family enterprises, digital transformation, balanced intergenerational inheritance and de-familization model will jointly contribute to the performance of family enterprises. This paper takes Chinese A-share-listed family enterprises as the research objective. Stata17.0 statistical software is used to describe and regress the data of family enterprises in the fiscal years from 2015 to 2020. The results show that digital transformation has a negative impact on the performance of family enterprises, but the balance between intergenerational inheritance and de-familization will have a positive impact on the performance of family enterprises.

Option, BSM and mean-variance pricing model have always been hot topics in financial statistics, as well as basic concepts to master when learning financial knowledge and engaging in the financial industry. With the increasingly mature theoretical research on financial risk control, many pricing models related to risk control have been established based on BSM model and mean-variance model. Therefore, this paper mainly studies BSM model and mean-variance model. So, this paper mainly discusses the learning achievements of option contract, BSM model and mean-variance model. Firstly, this paper introduces the basic concept of option contract, explains what option contract is, the components of option contract, and the formation history and development process of option and option contract. Secondly, the formation and development process of BSM model and mean-variance model are explained respectively in the work, and related concepts are described and explained rationally. From the historical and realistic point of view, this paper explains the risk avoidance effect of option contract, BSM model and mean-variance model on financial transactions.

In just ten years, POP MART has developed rapidly and become the leader in the national LOMO market. It would be worthwhile to analyze and summarize its marketing strategy. This paper expounds on the brand background, industry background, STP analysis and 4P theory of the POP MART brand, and analyzes the marketing strategy of the POP MART brand. By reviewing the relevant literature in the last three years, this paper analyzes the brand problems and brand advantages. The advantages of the brand are obvious, such as the cooperation with many IP products, and exquisite product design. The acceptability of price and unit price of products is high. Brand marketing takes advantage of consumer psychology. Online and offline promotions are also plentiful. However, there are still some problems, such as low brand recognition, unsatisfactory customer promotion and insufficient product development. Customer loyalty and competitiveness of POP MART need to be improved. According to the above information, this paper puts forward several suggestions: The business should open a new market, such as the male market. Also, businesses should improve the product emotional value of the product and make the product become story innovative, etc. In cooperation with IP, the brand should analyze and understand the corresponding consumer groups of each IP, which can make more targeted update plans. Also, it enhances the brand awareness and recognition of its own brand.

The deals in the dynamic media and entertainment industries have been paid great attention to in recent years. One of the most valuable things that companies competed for was customers’ attention. Hence deals were made to provide unparalleled technologies or content. The case studies adopted in this study are objective and specific. Focusing on the analysis of two representative acquisition deals in the media and entertainment industries, this article gives a comprehensive introduction to Walt Disney Company, Pixar Animation Studios, Microsoft Corporation and Activision Blizzard, lists essential contract terms and summarizes the changes. To conclude, in the process of merger or acquisition, technologies and entertainment content are key elements in companies’ consideration. Through exchanging and sharing resources, parties involved in the deals could achieve a win-win relationship. Nevertheless, there are also many problems that need to be solved, including the interference of the third party, cultural conflict and changing market requirements.

This paper examines the US-CN Audit Agreement’s influences on investors’ reactions towards US-listed Chinese companies and the potential spillover effect on US domestic listed companies with the same auditors that Chinese companies have. The sample consists of 282 Chinese US-listed companies and 3986 U.S. companies with the same auditors as those Chinese companies. We then compare the average stock return of U.S.-listed Chinese companies and the U.S. companies based on the sample period for the stock return data begins from July 27, 2022, to Aug 29, 2022. By using T-test separately, we found that U.S. companies have higher average stock returns in the previous 21-days period, and in the 3-day announcement window, the difference in stock returns between U.S.-listed Chinese companies and U.S. companies is not material. Therefore, we document that although investors become so alarmed by the publication of the US-China Audit Agreement that stock returns suffer. As a result, the success of US-China audit cooperation will increase investor confidence and help Chinese companies' stock returns and mitigate the negative effects.

In this research, we aim to utilize linear regression estimated by ordinary least squares (OLS) to construct a predictive model for the federal funds rate in the U.S.. It is a crucial instrument of implementing monetary policy, including financial institutions, investors, and policymakers. To construct the model, we will obtain data on various economic and financial indicators that affect the federal funds rate. This will include macroeconomic variables such as inflation and GDP growth, as well as financial market indicators such as the yield on government bonds and the reserve balance level held by Federal Reserve banks. We will then use this data to fit a linear regression model and evaluate its performance using various statistical metrics. Once the model has been developed, we will use it to make predictions about future federal funds rate actions and determine the leading causes of these movements. Additionally, we will test the model's accuracy given changes in the underlying data and assumptions. The findings of this study will be helpful to a wide range of academic and practical audiences and will offer insightful information on the factors affecting the federal funds rate.

Tiktok is a very popular streaming video media that is popular with many Chinese viewers. The Chinese government is currently promoting the policy of rural revitalization. With the advancement of internet technology, more and more villagers are promoting their hometowns through short videos and live streaming video, and using them to sell their agricultural products. However, there are many drawbacks to this, such as poor information and literacy level make it more challenging to promote their videos. Through qualitative and quantitative research methods, this research examines factors affecting the effectiveness of the rural area broadcasting economy from some specific perspectives. In this research, data analysis and interviews are both included. The results have shown that the long-term existence of this vicious cycle of low illiteracy and low quality of agricultural goods will have a negative impact in the long run.

McDonald's has grown steadily since its establishment and has gradually grown into a leader in the fast food industry over the years. How McDonald’s becomes so profitable may be questioned and learned by other enterprises. That is because, throughout the development of McDonald’s, many successful strategies have been used to improve its competitiveness and market share. This paper explores McDonald’s concrete marketing strategy in corporate finance and risk assessment. It is organized as follows: In the first part, the achievements of McDonald’s will be briefly introduced. In the second part, this paper analyzes some specific strategies that McDonald’s has used in its corporate finance. In the third part, this paper discusses McDonald’s strategies to assess its risk. In the end, the successful strategies that McDonald’s has utilized are summarized. This paper can help readers understand McDonald’s experience and how they become so successful.

Based on China’s economic data from 1992 to 2021, this essay employs the unitary linear regression model to investigate the effect of the Shanghai Composite Index on per capita GDP and carries out heterogeneity analysis from the perspective of different bank types. This paper concludes that the stock market in China has the function of a barometer. Based on different industries, the Chinese stock market’s capacity as a barometer is effective in different industries, but China’s stock market has the greatest effect on the tertiary industry, the second industry, and the least effect on the primary industry. Based on the expenditure approach, Chinese stock market’s use as a barometer is effective for different components of GDP, but the effect of China’s stock market on net exports of products and services is the largest, followed by government consumption and input-output ratio, and the effect on household consumption is the least. Based on the consideration of timing, the Chinese stock market’s ability to serve as a barometer only took effect before the outbreak of the substandard goods crisis in 2008 and failed after the outbreak of the crisis.

M-Score and F-Score are financial fraud prediction models that are commonly used in Western capital markets. In this paper, we calculate M-Scores and F-Scores for each dataset of 15 fraudulent Chinese companies (including Hong Kong companies) listed in the U.S. from 2006 to 2020 and compare their M-Scores and F-Scores with 15 companies in the same industry that are not fraudulent. Firstly, we used Student's t-test on data from both models respectively. The result shows that both of them are able to predict fraud well for Chinese stocks listed in the U.S. With the result, we further compare and test the differences between the financial fraudulent samples and the comparison samples in the dimensions of each variable in the M-Score and F-Score models. Finally, we draw a result that they are effective in predicting whether a Chinese company committed financial fraud.

Today, firms may cut costs through improved information exchange and boost profitability by delivering goods more quickly and affordably with fewer resources thanks to the scientific use of project management. In these projects, the core management activities revolve around cost management. This requires project managers to follow a scientific approach to strict project budgets, identify deviations early, analyse problems and correct them in a timely manner. Therefore, this paper aims to introduce the meaning and methods of cost management and introduces the basic concept of earned value management after analysing the history and current status of cost management to optimize its theory. By analysing the interplay between project cost and schedule, this paper explains how to apply earned value management to project cost control process by using cost and schedule performance index analysis and so on. The paper concludes with an analysis of the limitations and some countermeasures and suggestions. Cost management of projects should take into account the variability of the project and take into account both time and quality factors.

This paper investigates the impact of a team's salary cap on its end-of-season standing. This study made use of data from the Spanish Soccer League (La Liga) and the National Football League (NFL). Four consecutive seasons of correlation and regression analyses were conducted for both leagues to determine the relationship between these two variables. The analysis revealed that in La Liga, a higher salary cap will result in a higher team ranking. However, no correlation between salary caps and NFL team rankings has been found. The root cause for the inconsistent results may be that the disparity in salary cap between NFL teams is insufficient to have an actual impact on team performance. This research is valuable in informing the club manager whether accumulating expensive players to buy the trophy is a feasible strategy.

Social media, an essential part of social connection, is becoming an inevitable global communication tool. The popularity and availability of mobile phones have further fueled the importance of social media. Social media marketing activities carried out by enterprises helps to attract more comprehensive customers and influence customers' purchase behavior. However, with the increasing investment of significant brands in marketing activities on social media platforms, marketing on social media is becoming increasingly competitive in building consumers' awareness about a particular product, customers' purchase behavior, and purchase decisions. Marketing research has focused on using social media to motivate consumers' purchase intentions and maintain consumer loyalty. The previous studies have shed some light on the significant impacts of social media on consumers' behaviors. However, few focus on consumers' purchase intentions and decisions. Through a literature review, this paper studies how consumer behavior changes due to social media. This paper explores how social media can ultimately market consumer behavior by influencing consumer psychology, attitude, and internal motivation for consumption through a literature review. Hopefully, this paper also can provide some ideas for enterprises to better their strategy formulation, optimize marketing plans, and improve brand benefits and corporate earnings in the increasingly fierce social media marketing competition.

The current Russia-Ukraine war that started on February 24th, 2022, saw almost an immediate drop in stock market indices around the world but a corresponding rapid rise in the Crude Oil and Gold prices in the world commodity market. This is a most interesting cause-and-effect reaction, but apparently, the commodity of Crude Oil has always been closely related to wars, social struggles, economic upheavals, and geopolitical confrontations. This paper will attempt to concentrate on world history since 1950 and observe and study and analyze the interrelationship between oil prices and these outside factors that influence them. The ultimate aim is to arrive at some conclusions that will support several preliminary observations and hypotheses.

Due to the increasingly developed supply chain, the financial network has become more and more perfect in recent years. The financial network connects all enterprises, which helps small-scale enterprises get rid of difficulties and promotes the development of the whole industry. This paper studies the influence of enterprises of different scales on the whole financial network. Taking banks as an example, this paper builds a banking system composed of several banks, which are connected by inter-bank links. Then, a model is constructed to simulate different kinds of impacts on financial networks. After the simulation, the results of various situations are analyzed. Finally, it is concluded that large-scale enterprises play a vital role in the financial network. At the same time, this paper also expounds on the disaster that large-scale enterprises will bring to financial networks once they have their own crisis.

Inter Milan was founded on March 9, 1908, as a result of a split between 44 founders who opposed the ban on international players by the Milan Cricket and Football Club. Inter Mi-lan is a football club located in the city of Milan and is one of the Italian first division football teams. However, it has suffered serious financial losses in recent years. Since 2018, the loss has increased and almost doubled every year. The loss has decreased since 21-22, but it still has not gotten rid of the predicament of loss. Firstly, this paper briefly summarizes the team's past achievements and history as well as its management in recent years, including the overall profit and loss situation, the composition of the players and the main revenue sources of the club. On this basis, the economic losses of the club are analyzed. The paper analyzes Inter Milan's financial losses in terms of the epidemic, aging players, changes in sponsors and partners, and competitive results, and suggests some pos-sible solutions. Finally, an outlook on the future development of Inter Milan is provided.

The COVID-19 pandemic has had a significant influence on the economies of many different nations in the world. When the economy suffers a severe blow, monetary policy should help it get back on its feet. Building the home market and maximizing industrial allocation is now especially crucial because the COVID-19 outbreaks have made it difficult for countries to conduct normal commercial exchanges. The COVID-19 also exhibits the traits of persistent global epidemics. Every new outbreak of the disease has a detrimental effect on the economy and severely undermines consumer confidence. National monetary policy from the world's major central banks was quicker, broader, moreover, the response to the economic and financial crisis of COVID-19 was more broad than the one to the global financial crisis of 2008. The response of three major nations, including the United States, the United Kingdom, and China, to the COVID-19 will be critically analyzed in this paper. However, there are many potential threats to the government's easing of monetary policy to keep the economy stable while stopping the spread of the pandemic, which means that persistently low interest rates are no longer a sustainable option. Therefore, balancing the financial chaos and social problems caused by monetary policy is the key to ensure the sustainable development of the country.

Developing a so-called "green economy" garners more support in the current climate of uncertainty and danger. Since the beginning of the 21st century, we have recognized that the drive to develop the economy causes irreparable harm to the planet's ecosystem. After the Covid pandemic, a new intermediate industry, the biopharmaceutical industry, has emerged to reduce the tension between the human ecology and the earth's ecosystem. This industry devised a successful response to the health, economic, and social issues of the pandemic age. This paper aims to examine the financial performance of two renowned biopharmaceutical companies, Pfizer and Moderna, which have been permitted to distribute the mRNA vaccine worldwide. This paper concludes the investigation into the stock performance of these two companies prior to and throughout COVID. Besides, examination of the technology market index, market volatility, and investor sentiment reveals the various fluctuations. In addition, the data reveals an effect of contagion between the two enterprises and the technology market. Thus, the research gives useful information for the development of public health economics, policy, and administration.

The fan economy is a business model that is widely used in China. This study aimed to ex-amine the impact of the fan economy as a business model in China on the decision of companies to choose their brand spokesperson. Therefore, this study selected one city in the south and one in the north of China and sampled them separately. A total of 120 people of all ages from all walks of life were selected for the questionnaire survey, and ten of them were also interviewed. Based on the data statistics and interviews, significant differ-ences were found in the effects of both consumer income and consumer gender on the study results. The group with stable income cares more about the consumer experience and will use their own experience as a prerequisite for purchase, while the student group will tend to use the spokesperson as a reference for selection; women care more about the celebrity status of the brand spokesperson, while men show less care than women. While a larger study sample is needed to determine if there are other influencing factors in the study, the results suggest that consumer income status and gender are factors that should be considered when influencing the selection of spokespeople for essential goods brands.

In March 2022, the Federal Reserve began a new round of interest rate hike. Until February 2023, Jerome Hayden Powell, the incumbent chairman of Fed, still indicated that the continuation of the interest rate hike policy is still appropriate. Many significant changes have occurred in the financial markets over the past year, however, limited information is currently available to analyze the impact of the new round of Fed rate hike policy. This paper analyzes data of the U.S. dollar index, the Nasdaq 100 index and multiple secondary sources, applies economic principles such as the J-curve effect, cites examples from Japan, Sri Lanka and China, and finds that the U.S. financial market is in an overall sustained tightening state under the interest rate hike policy, and the international financial market will have to cope with more debt and trade challenges. This paper’s analysis is of great reference value to the investment decisions of the government, banks, enterprises and individuals.

There has been increasing research regarding the salary cap for professional sports in recent years as the cap is getting higher each year, burdening the management team to allocate the cap wisely. This paper investigates whether the salary cap relates to team performance and if its allocation makes a difference. Our findings indicate a moderate correlation between the salary cap and the game won in the regular season. In contrast, the salary efficiency number correlates more with the game won, meaning the roaster strategy is a more crucial component of team performance.

Nowadays, every new product development process is bound to have certain risks. This study will analyze the identification and control risks in the Cardiac Rhythm Management & Neuromodulation (CRM&N) product development process of a medical device manu-facturing company in the United States and summarize and analyze the common risks dur-ing New Product Development Process (PDP). CRM&N system of medical industry prod-uct and service institutions, namely the CRM&N system used by medical devices, medical equipment, medical consumables, biotechnology and other medical products/services en-terprises. The medical industry is facing many problems in transportation and terminal sales. This study adopts the case analysis method, through the analysis of a new product development case of a company, the research results of this study are obtained: (1) Risk should be controlled at every step of a new product from the preparation before production to the end of production. Therefore, the company needs to establish a complete risk man-agement system to reduce the existence of some risks as far as possible. (2) Large sample size and heavy testing workload in the process of new product development led to in-creased costs. Therefore, companies need to use new statistical methods to analyze large sample data and reduce development costs. This study makes an in-depth analysis of the risks that may occur in the process of the company's new product development and draws some useful conclusions and strategies.

The link between systematic risk and the performance of firms was initially established. The systematic risk was investigated as a framework of CAPM, the Capital Asset Pricing Model, which is an efficient approach to risk assessment. The systematic risk is represented using the CAPM’s coefficient (beta). Indicators of financial performance were used to analyze systematic risk. Such indicators comprise of operational efficiency, liquidity, profitability, market valuation, and financial leverage. The study comprises the analysis of Lululemon Company, its competitors, Nike and Adidas Companies, as well as the comparison to the NASDAQ and DAX index. Based on the results of the estimation, the systematic risk of companies is inversely related to profitability, market value, and efficiency indicators. Also, there exists a negative correlation between the systematic risks of one year compared to the previous years. The findings indicate a positive relationship between leverage and systematic risk, growth and systematic risk are not related.

In recent years, COVID-19 poses an undeniable threat to the world economy. There is an increase in the global unemployment rate, supply chain disruptions, and business failures in several industries, especially in China. Faced with this difficulty, an increasing number of organizations are transforming their platforms from physical stores to e-commerce and online platforms, hence boosting their digitalization penetration. This paper explores how COVID-19 stimulates the digital transformation of the luxury retailing industry in China, using Louis Vuitton as an example. The purpose of this paper is to determine the possible pattern around all luxury retailers to see if digitalization is better and more sustainable for their commercial operations. This paper will employ literature analysis as its methodology. This paper reveals that the digital change surrounding the luxury brand is not solely a result of COVID-19, while COVID-19 does speed this transformation, and that social media platforms also play a significant role in China.

This study investigates how companies view acquisitions and alliances in the context of both their internal and external factors when developing strategies for their own business development choices. By referring to a large volume of relevant literature and incorporat-ing case studies of AT&T and Time Warner and Enterprise and Pioneer, this paper identi-fies the role of acquisitions and alliances in business development. It is widely known that while both acquisitions and alliances can be used to avoid barriers to entry into a new in-dustry to the greatest extent potential for a company, mismanagement is still likely to cause conflicts affecting both the company and the acquired party. Thus, the results have shown that the company would be more successful with making an alliance with the other party at the right time and proceeding to the acquisition stage after obtaining to know each other slowly than if the company directly made the acquisition plans.

Since the emergence of e-sports in China in 1998, it has experienced ups and downs in its development and entered a golden age. As an emerging industry in the 21st century, it has great potential for development. The topic of this paper is to study the business analysis of China's e-sports industry and forecast future opportunities. Through literature research, this paper analyzes the disadvantages of Chinese e-sports market industry chain, club business model and public opinion cognition, and puts forward future opportunities, namely development direction. To provide the future development direction for China's e-sports market, and to provide ideas for young people with relevant majors and dreams, that is, to vigorously promote the training of e-sports talents; The government released policies to support industrial development; Improve the industry chain related to electronic competition; Change people's cognitive concept, vigorously develop the e-sports industry. For e-sports industry to obtain better development in the new era, gradually develop to become one of the economic pillars of our country.

The "subprime crisis" refers to a situation that occurred in the United States in which investment funds were compelled to close due to the bankruptcy of subprime mortgage institutions, causing stock market volatility brought on by the financial storm. This situation occurred between 2006 and 2009 and is referred to as the bubble economic crisis. It caused a liquidity crisis in the major financial markets around the world. In the spring of 2006, the "subprime mortgage crisis" in the US started to manifest. The Taylor rule argues that expansionary monetary policy is the cause. The housing bubble in the United States and expansionary monetary policy are the subjects of this essay. As a result of the analysis of related phenomena, this paper concludes that the subprime crisis is caused by expansionary monetary policy.

The problem of employee turnover has gradually become a common problem faced by companies around the world. Because it has several major negative impacts on the company's cultural and economic levels, it's urgent to solve this problem. In this paper, IBM's employee data is visualized to get the factors that affect employee attrition. At the same time, a predictive model based on logistic regression analysis was constructed to provide quantitative data for the impact of various factors on employee turnover. After multiple model evaluations, the goodness of fit and accuracy of the forecasting model were judged to be good. According to the data visualization and prediction model, the company's employee turnover factors were summarized, including both human resource factors and contextual factors such as age, salary, marital status. These influencing factors and the analysis of the relationship between them can be used as the theoretical basis for the company's future employee policies, providing direction and solutions for its work on reducing employee attrition.

A house is a necessity for everyone's life. But in today's world, with the continuous reduction of land area, the continuous increase of population, and the continuous maturity of the real estate industry, people have to consider more carefully what factors are the most important in the house. Based on the background of housing prices in California, this paper uses linear regression, random forest and principal component analysis to determine which variables have the greatest impact on housing prices. The reason for using three methods is to obtain more accurate results. According to the results, linear regression shows that income is the most relevant variable to housing prices. Random Forest shows an R square of 75.7%, meaning the predictions fit the data fairly well. Principal component analysis also shows that income is the most important variable. At the same time, house prices will be predicted based on the data obtained, which is about 116598.48588. Some suggestions for those who want to buy a house - which factors of the house are more important. Second, this article will also analyse how to face the rising housing prices.

COVID-19 has always had a substantial impact on the global economy and the society in which humans live. As a direct result of oscillations in the economic system, consumers' living standards and ways of life have undergone considerable changes. This paper will study the effects of COVID-19 on changes in consumer behaviour through the way of lit-erature review on the topic. Customers will spend more on daily necessities throughout the pandemic. Moreover, as a result of the spread of the virus, a significant number of online supermarkets have developed shopping ways that are more convenient and efficient, and as a result, customers are more likely to use the internet to purchase their daily essentials rather than offline shopping. Future researchers who wish to investigate this discipline will have a clearer background and a more comprehensive understanding of the subject matter according to the two conclusions and limitations presented in this article.

Porsche is a famous sports car brand, and its history can be traced back to 1900, and it has also overcome many crises during this period. At that time, Porsche unlike other sports car brands such as Ferrari, Lamborghini and Aston Martin, Porsche broke with conventional thinking and started making SUVs. It was this potentially damaging decision that allowed Porsche to develop. And today it has not only the most advanced technology but also the most profitable sports car brand. Therefore, in this paper, the marketing strategy of Porsche is mainly studied by applying the marketing theory of 4Ps. The study found that the reason why Porsche can continue to make profits is because of its precise control of consumer demand, strong product strength, marketing strategy for luxury brand image, and flexible strategies for responding to different regions.

As a popular coffee shop among the white-collar class and the younger generation, Luckin Coffee has brought an excellent drinking experience. In recent years, as a coffee chain brand, the development speed of Luckin Coffee has surprised the coffee brand. So, it is worthwhile to discuss how Luckin Coffee provides a positive consumer experience to its potential customers through the marketing and operation methods. This paper analyzes the great success of Luckin Coffee from marketing strategy to the whole industry chain structure through a literature review and using Porter's five forces model. Although Luckin Coffee encountered some long-term operational challenges after quickly capturing the Chinese coffee market, Luckin Coffee responded to the difficulties they faced by making timely adjustments and maintaining all links in the chain.

New energy vehicle is a very popular item in China in recent years, and the battery is the biggest difference between new energy vehicles and fuel vehicles. This work started from the market of raw materials and collected a lot of price data of raw materials of new energy vehicles, especially the battery part. In addition, this work involves the national policy and measures for electric vehicles and the mechanism of product pricing by companies. After obtaining this information, Tesla's price data are used as an example and a statistical gray model is used to build a mathematical model to make up for some of the data deficiencies. After that, this work analyzed the impact of price, policy measures, companies, and market mechanisms on EV battery prices. Through the model, this work roughly predicts the future trend of electric vehicle development.

As a platform, the Winter Olympics provides an opportunity for athletes from different countries to show off to the world. The Winter Olympics are important not only for sport, but also for the economy. A great deal of economic activity takes place during the Olympic Games, which greatly affects the economy of the host country. While some countries have lost a lot of money after hosting the Winter Olympics, causing many companies to go out of business, others may become famous and prosper. The analysis is based on three perspectives: the economic background of the host country and city, hard economy and soft economy and benefits versus costs (by analyzing and collecting different factors and aspects of costs and benefits).Comparing the impact of the 2022 Beijing Winter Olympics and the 2018 Pyeongchang Winter Games on the two host countries provides a sense of how closely intertwined the Olympics and the economy are. At the same time, this article can also inspire people to have a more comprehensive understanding of the economic effect of the Winter Olympics.

Macroeconomic factors usually have an impact on the capital market, but not to the same extent on stock prices, which is related to the lag in the transmission of macroeconomic policies, the short observation period, and market volatility. Usually an increase in money supply, decrease in interest rates, and liquidity easing affect stock price volatility, while inflation has a more complex impact on the stock market. In this paper, the volatility of HS300 stock price index is studied by exploratory analysis of correlation factors and simple linear regression analysis is applied to analyze the correlation.

As the smartphone and internet become a more significant part of people’s daily lives, social media has become a more substantial part of people’s lives. With these circumstances, influencer marketing is considered a new marketing strategy and reflects the trends that this new marketing strategy has gradually taken over the importance of traditional marketing strategy. Although influencer marketing is regarded as a new field, many studies already focus on this field. This essay will focus on two aspects of influencer marketing and analyze how consumer purchase intention has changed.

Insta360 is a technology company specializing in producing and developing panoramic and sports cameras. According to the report of professional research institutions, Insta360 has reached the world's first market share in the field of panoramic cameras. They are also actively preparing to go IPO. There's no denying that Insta360, a young company that's been around for seven years, owes its success to its marketing strategy. Its brilliant marketing strategy has been used as a model by other tech start-ups. This research uses SWOT analysis method to analyze Insta360's marketing strategy, studies its internal advantages, disadvantages and external opportunities and threats of brand marketing. It can be concluded that Insta360 should use the funds obtained after the IPO to build production lines, improve quality and lower prices, so as to attract more potential customers and further expand market share.

The purpose of this paper is to analyse Huawei's approaches to compensation and benefit management before and after COVID-19 through an analysis of past literature, combined with Huawei's actual compensation and benefit adjustment measures, focusing on how Huawei responded to the epidemic and dealt with the positive impact conveyed by its compensation and benefit management system. The main contents include the motivations for Huawei's payroll payments, the restructuring of its performance appraisal system and incentives before and after the epidemic. This study found that Huawei continued to improve its compensation and benefit management system before and after the epidemic, not only to maintain the level of employee benefits, but also so that the compensation program remained effective and did not pose a risk to employee benefits. In addition, Huawei's strategies for managing compensation and benefits have important implications for other internet communication companies.

Based on SOR theory, dividing webcast features into visibility and interactivity, the perceived value is used as the mediator variable, constructing the impact model of webcast features on tipping behavior. And then， it studies how the characteristics of broadcasts influence users' willingness to reward and tests hypotheses by SPSS based on collecting the online questionnaires. Results show that visibility and interactivity significantly influenced users' desire to reward， and perceived value plays a mediating role.

In today's era, the rapid development of e-commerce has led to the explosive growth of various product information on shopping websites. Many consumers have also fallen into the dilemma of choosing products recommended on Taobao's home page. How to help consumers eliminate other information interference and effectively select products that meet their personal preferences is an urgent problem for shopping websites to study and solve; this study explores the impact of product recommendation mechanisms on users in marketing, taking cosmetics as an example. This paper first reviews the relevant research literature on Taobao home page recommendations and consumer purchase behaviour and summarizes the characteristics of Taobao home page recommendations as information layout, recommendation strength, recommendation method, interactivity, and security; Then, based on the rational behaviour theory, combined with the planned behaviour theory, the research model of this paper is constructed. Use SPSS21.0 software to analyse the collected adequate data. Through the analysis of the research conclusions, summarize the impact of the Taobao homepage recommendation mechanism on consumers' purchasing behaviour of cosmetics, and propose optimization strategies for the recommendation features of the Taobao homepage recommendation mechanism.

With the outbreak of the Russian-Ukrainian war, the world economy has been deeply affected. Some countries that depend on Russian energy imports are in an energy crisis at this time. With the increase in demand for weapons and equipment, the war stimulated the development of Russian military-industrial complexes. The world's financial markets have also become volatile. Ukraine's fertile black soil feeds four million people. However, as the war escalated, wheat cultivation in Ukraine was also deeply affected, endangering the security of the global food supply chain. What strategies will some countries adopt to deal with the energy crisis? How can global investors plan their portfolios? How will the shortage of wheat affect the global food supply chain? In the face of a series of sanctions by Western countries led by the United States, how will Russia respond? This article attempts to analyze the impact of the Russia-Ukraine war on the world economy from three perspectives: energy and manufacturing, financial markets, and agricultural product markets.

Over the last two decades, China, the world's second-largest economy, has flourished and boomed in its digital economy. China's digital industry is currently a world leader in the value of numerous digital applications, technologies, and integrated new ecosystems, especially the communications industry, e-commerce, automobile manufacturing, and mobile payment. It is second only to the United States. Since this rapid development has had a profound impact on various industries and even the world, the paper will analyze the phenomenon of the "digital economy" in China and its impact on the global economy by reading literature and online materials. It can be concluded that 5G technology is the foundation of China's digital economy, e-commerce and electronic payment are flourishing in the Chinese market, and the Chinese government has also carried out timely supervision. Similarly, the digital economy has also brought different impacts including development in industries, innovate in technology, and other negative impacts like monopoly, data leakage and larger gap between rich and poor.

In January 8th, 2023, Chinese government officially terminated its quarantine policies after the publication of “The Overall Plan of Implementing Category B Management Measures to Covid-19 As a Category B Infectious Disease”, since then, Chinese society entered into a brand new phase of the recovery of economic production. Next, in January 17th, 2023, the vice prime minister He Liu made a speech about his optimistic opinions about future Chinese Housing Market in the annual meeting of Davos Forum. This paper chooses the sale of Chinese commercial residential housing as the research object and acquires annual data of Chinese Housing Market since 1998 from Huibo terminal platform and Qianzhan database as the experimental data. This paper uses STATA to model experimental data and conducts research of the sale of Chinese commercial residential housing through the method of linear regression analysis. Bases on the analysis of the experimental data, this paper finds out the conclusion that covid-19 causes significant impacts toward the sale of Chinese commercial residential housing. Bases on the fitting result derived from the fitting analysis of the sale of Chinese commercial residential housing from 2022 to 2024 in the experimental model, it points out that there is going to be significant recovery in Chinese housing market from 2023 to 2024.

For precise marketing, this article takes the existing payment method data of a bank's mobile banking as the research object, analyses the current situation of mobile banking, and sums up the basic information of customers who currently use mobile banking. Then the basic information of customers is subdivided into customer groups by gender, age, bank product holdings, and payment means to study the use of mobile banking. Through the research on the customers' holding bank products and payment at the current stage, put forward marketing strategy optimization suggestions. First, improve the convenience of using mobile banking, enrich product functions, and create unique mobile banking; Second, in terms of channel strategy, strengthen cooperation with third parties to improve the convenience of channels; Then, in terms of a promotion strategy, it is mainly recommended to adopt record precision marketing based on customer's common bank products; Finally, in terms of process strategy, establish marketing service standards and tracking feedback mechanism.

In September 2013, the "Belt and Road" has been included in the country's highest strategy. After joining the SDR in 2015, the internationalization of RMB has entered a new era. The implementation of the "Belt and Road" has created favorable conditions for the RMB internationalization, and the economic and financial cooperation between countries along the "Belt and Road" will also promote the further improvement of the RMB internationalization. This paper first takes Southeast Asia as the case to discuss the actual progress of RMB internationalization after the implementation of the "Belt and Road" Initiative. Secondly, it analyzes the factors and challenges influencing RMB internationalization Finally, the paper summarizes and puts forward suggestions to enhance the internationalization level of RMB.

The COVID-19 pandemic has caused significant damage to theme parks. During the era of the pandemic, millions of companies from different industries were facing huge economic problems, which included the excessive indebtedness that leads to failure to pay back within the regulated time limit, the thing go under, and facing bankruptcy. Theme parks industry was one of those who fell into predicament. The sudden decrease of visitors and compulsory safety precautions caused the short-term disclosure of the parks and resorts. What was taught by the Covid-19 pandemic was that theme parks should always keep themselves attractive and innovative. This article aims to research the pandemic's impact on Disney and its reaction to encountering the park disclosure. By analyzing data and information directly from their website and statements using ways of accounting, it is expected to figure out whether the reactions were supportive, and how their responses helped minimize the adverse effects brought by Covid-19.

The biotechnology industry is currently a sunrise industry closely related to human health and life safety. Through the relevant analysis of Chinese biotechnology enterprise innovation, it is found that, for enterprise innovation, there is still little research on technology selection and evaluation. Technological innovation is the most critical and the main driving force for the development of biotechnology enterprises, and the level of technological innovation determines the development level and potential of enterprises. Based on the relevant characteristics of biotechnology, this paper studies issues such as technology evaluation, technology selection, and enterprise innovation in biotechnology. As a result, the relevant characteristics of modern biotechnology are systematically researched and summarized in this paper, laying a foundation for further in-depth research on modern biotechnology management. At the same time, the evaluation and selection model of relevant modern biotechnology is also established, which has strong guiding significance for coping with the high uncertainty of modern biotechnology.

Contemporarily, the stock price prediction remains a challenging topic that puzzles many economists and researchers. With the development of science and technology, many types of methods have been utilized to predict the stock price. The paper first reviews the popular stock price prediction methods in recent years and then uses the OLS and LSTM models and the stock market data including 12 Technical indicators from 2018 to 2022 to predict the stock prices of the three major companies: JPMorgan Chase, Tesla and Apple. According to the analysis, the regression and the test results show that LSTM has better prediction ability. On this basis, this study gives suggestions for three companies to predict the stock price in the future. Finally, the shortcomings of the methods used in the article are proposed, and the future prospects are also discussed. These results offer a deeper and clearer understanding of the role and effect of OLS and LSTM models in stock price forecasting.

The rapid development of the internet has made competitive strategy a critical factor for the success of enterprises. This paper explores the competitive strategies of game compa-nies and uses them as a guide to studying the differentiation strategy of miHoYo. By cre-ating original game intellectual property, miHoYo has managed to gain consumer support and increase its visibility. The company has been able to compete with Tencent and Ne-tEase, and has successfully "split the market in three" since its establishment in 2016. This study found that miHoYo primarily competes in the market with a differentiated strategy in four areas: brand, revenue, international design, and technology. The unique strategies developed by miHoYo have had a direct impact on consumer perceptions and value, and have led to a significant increase in the company's revenue. The findings of this paper provide valuable insights for the management and strategy of other internet gaming com-panies.