bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis and Suggestions on Crude Oil Treasure Event
Authors: Ma Yucheng , Sun Lin , Liu Mingyang , Wang Entong
Published: September 2023

Since the global COVID-19 has broken out, the international crude oil market has been turbulent and crude oil prices have hit new lows. In April 2020, the Bank of China (BOC) "Crude Oil Treasure" May 2020 contract product caused 9 billion losses. The paper dis-cusses the case of BOC s Crude Oil Treasure and it is divided into the following three parts. First, we sort out the background and process of the BOC s "Crude Oil Treasure" and expound the operation principles of the product. Furthermore, we analyze in detail the reasons why the failure occurred. At first, we summarize the external factors under the background of the COVID-19. Then, we discuss the internal reasons for the occurrence of cross-position events. From two perspectives of product design and risk control, we try to analyze the inadequacies of Bank of China in this case. Finally, we combine the above-mentioned reason analysis and give suggestions on how to prevent such incidents from happening again from both the perspectives of both banks and investors.
Game Analysis on the Problem of the Pollutant Emissions in Chinese Neighboring Province
Authors: Deng Ziwei
Published: September 2023

With the continuous development of Chinese economy, the accompanying environmental problems have become a matter of great concern. Due to the spatial connection of neigh-boring provinces in China, pollution from one province can easily be discharged into the jurisdiction of the other province, which will inevitably cause interest damage of the later province. China's provincial governments have limited jurisdictional areas, the game exists between different provincial governments due to different interest demands. This paper analyzed the conflict of interests between local governments in Chinese neighboring prov-inces due to the emission problem, constructed a game model, analyzed the impact of the cost of pollutant treatment and economic compensation for pollutants on the emission de-cision made by neighboring provincial governments, and propose reference suggestions for Chinese neighboring provincial governments to deal with the pollution emission problem by combining the results of game analysis. The results of the study show that the two sides of the game can reach a synthetic win-win decision when the right to discharge is clear.
Analysis of Marketing Strategies of Louis Vuitton Based on The Marketing Theory of 4Ps
Authors: Wang Rui
Published: September 2023

Increasing economic development and disposable income are transforming China into a middle-class society. As more and more people are able to meet their basic needs (e.g., leisure and employment), they are more inclined to pursue luxury products to fulfill their material needs. Consequently, luxury brands should use effective marketing strategies to attract as many potential consumers as possible to maximize their chances of tapping into this huge market. Therefore, this essay aims to provide insight into luxury brand marketing strategies in China, using the example of Louis Vuitton. The article adopted the 4P marketing model to identify the successful marketing strategies for LV through price, product, promotion, and place, as well as to provide additional advice on the existing strategies. While the research clearly indicates that these marketing strategies are efficient, LV should also take precautions to avoid diverting its target market from high-end consumers, do more research on their ambassador choices, co-brand with more native Chinese designers, and launch more China-exclusive special edition products.
Research on the Influence of Gamification Marketing Mechanism and User Participation Intention
Authors: Xu Ziyan
Published: September 2023

With the widespread application of social media, the discussion around gamified marketing mechanism and user participation intention has gradually entered the public's view. Based on the existing research framework of consumer behavior, this paper further discusses and analyzes the factors affecting users' willingness to participate, and introduces and empirically analyzes four dimensions: the individual-environment matching theory, flow theory, network security trust, and the perceived ease of use of the marketing mechanism itself. The role of flow theory as a mediating effect in the whole research framework is discussed.
The Verification and Application of the Research about How ESG Performance Influences the Corporate Value
Authors: Zheng Yitong
Published: September 2023

The essay aims to verify the relationships between corporate performance and ESG investing so that the meaning of environmental, social, and governance (ESG) performance can be highlighted. And the conclusion can be applied to classical business theories and business analysis. The article uses regression and sensitivity analysis to research the problem. There will be three assumptions of the idea, the relationships with financing constraints and corporate efficiency. And the sensitivity of ESG performance. We will conclude that ESG investment positively correlates with corporate efficiency and negatively correlates with financing constraints. And the sensibility of ESG investment is higher in private enterprises than in state-owned enterprises.
The Significance of Regional Tax Incentives in Creating Economic Profit Zones: A Case Study of Khorgos, Xinjiang, China
Authors: Tang Jiali
Published: September 2023

The government may use tax incentives to attract companies to register in an economically unbalanced region to boost the local economy and create an economic profit zone. Regional tax incentives can reduce costs and increase profitability, thus creating an economic profit zone. This paper examines the significance of regional tax incentives in creating economic profit zones by using Khorgos of Xinjiang, China as an example. The study concludes that the significance of regional tax incentives in creating economic profit zones lies in balancing and regulating the regional imbalance of development from within the country itself.
Changes in Cisco Stock Prices under the Uncertain Interest Rate Policy: Based on ARIMA Model
Authors: Jia Jiefei
Published: September 2023

As The Federal Reserve System (Fed) raised the interest rate for 6 times from March 15th until December. The consecutively raise of interest rate by 75 basis points each time throughout the year for 4 times has reached the maximum extent comparing to the past 40 years. Fed interest rate hike not only has impacts on the United States economics, but also bringing different effects globally. As a result, stock price of companies can change accordingly to the interest rate hike. Cisco, as a multinational cooperation technology company first founded in America, is chosen to be analyzed. The data of Cisco stock (CSCO) price from 2021 March to 2022 March is extracted and ARIMA model is used for forecasting stock price in the time series. The study account for the difference between values forecasted by ARIMA and the actual values, and thus observe the impact of Fed interest rate hike on Cisco stock price, further explanations related to the difference. The Fed interest rate hike result in decrease in Cisco stock price.
The Impact Caused by COVID-19 Pandemic on Pfizer Inc. Stock Price: Based on a Counterfactual Framework
Authors: Tang Yuchen
Published: September 2023

As the coronavirus pandemic spreads worldwide, many nations have implemented social distance regulations and quarantine measures to stop the spread of the COVID-19 epidemic. During this period, people's consumption levels dropped all over the world, resulting in a decrease in the capacity of the entire society to produce goods and services. As a result, thousands of workers lost their jobs and numerous manufacturing plants, entertainment companies struggled financially until going out of business. However, the value of some biopharmaceutical firms' shares has climbed rather than fallen due to some of these businesses made great contribution on preventing the spread of the pandemic by developing vaccines and useful medications. In this article, an American multinational pharmaceutical and biotechnology corporation, Pfizer Inc. was selected and daily stock data from February 2009 to December 2022 was extracted. The ARIMA model was applied to forecast the stock price of Pfizer Inc. without the Covid-19 pandemic. This study focuses on comparing the forecasted stock price with actual stock price and explores the possible reasons for this difference.
The Initial Explosion of Metaverse Technologys Impact on Accounting
Authors: Jing Mengtong
Published: September 2023

Contemporary Metaverse programs all over the world demonstrate an upward trend, opening up a glorious prospect of the development of the digital economy. The meta-universe is achieved through and by using communication and arithmetic power, VR/AR devices, and artificial intelligence technology to virtualize and digitize the real-world process, which also provides a new imagination for the digital transformation of financial accounting. This paper aims to analyze how to transform and upgrade finance because of the principle of blockchain technology through reference and diagram analysis. The results of the research indicate that digital transformation like digitalization and intelligence of finance will be the trend, and the difference between financial accounting departments and sales departments might disappear. On this basis, it can be concluded that the accounting work would not be replaced or overturned, instead, workflow enhancement and a changing of work means occurred under the metaverse.
The Influence of 2022 Beijing Winter Olympics on Sustainable Development of Domestic Sports Economy-Taking Zhangjiakou City as an Example
Authors: Li Shangcheng
Published: September 2023

With the curtain falling on the Beijing 2022 Winter Olympics, the Winter Olympics cycle has entered the next preparation time. China has completely entered the post-Olympic era, which can be developed according to the corresponding tourism to enhance regional, national economic development. With the strategic development policy to enhance, pay attention to the basic economic development and construction of the subordinate cities, Zhangjiakou City, according to the existing buildings to develop ice and snow tourism, improve the visibility of the city, transformation into a domestic winter tourism city. Through a large number of literature review, as well as image analysis, this paper focuses on how winter Olympic cities develop tourism to enhance their own economic development, and finds out that Zhangjiakou city is suitable for vigorously developing ice and snow tourism, it uses the existing building, makes the profit maximization, plays out the reputation of the winter Olympic city. Similarly, along with the construction of tourism facilities, the development of the tourism industry heralds the transformation of Zhangjiakou into the head of the tourism city. Together with the strong support from the national government, the city of Winter Olympics will be overly transformed into an ice and snow resort, with the total number of visitors breaking records year by year in the coming years.
Supply Chain Analysis of Jingdong in the Post-Epidemic Period
Authors: Xiao Nan
Published: September 2023

During Covid-19 and the saturation of China's e-commerce market, JD.com stands out with its successful supply chain operations and supply chain infrastructure. Through the SWOT analysis of JD.com, background information, and the comparison between JD.com and other Internet companies in the same category, it can be concluded that the supply chain of JD.com lacks or is good at. In view of these aspects, it is more reasonable to put forward effective countermeasures and suggestions for the company to improve and perfect the supply chain. Therefore, the main content of the research is the achievements and shortcomings of JD.com in logistics and supply chain, and the opportunity of its famous smart supply chain and the help it brings to the company are also part of the research. In addition, how to develop the supply chain infrastructure to the greatest extent under the condition of limited cost to ensure the stable operation of the supply chain is also a question worth considering. The research focus of this paper is its supply chain status and improvement methods. Research JD's supply chain from the social point of view, use SWOT theory to analyze and put forward suggestions for supply chain problems, and solve the current problems in JD supply chain.
Examining the Effect of Crude Oil Shock on the U.S. PPI Through Time Series Analysis
Authors: He Chenghong
Published: September 2023

Nowadays, people are becoming more curious about how changes in oil prices affect inflation, particularly how they impact macroeconomic indicators like the PPI (Producer Price Index) and CPI (Consumer Price Index), due to the ongoing pandemic and war's impact on oil prices. The present study examines the relationship between oil price changes and the PPI in selected industries. Using data from the trucking, chemical manufacturing, semiconductor, and electronic device industries PPI from 2020, with WTI (West Texas Intermediate) as the reference of U.S. oil price. The Pearson correlation coefficient and linear regression model were employed to analyze the correlations and evaluate the impact of oil price changes. The results demonstrate that the PPI for the trucking industry had the strongest correlation with oil prices over the same period, while the PPI for the chemical manufacturing industry demonstrated the strongest relationship with oil prices a month earlier. The PPI for the semiconductor industry displayed a strong correlation with oil prices six months ago. Overall, the transportation industry appears to be highly sensitive to changes in contemporaneous oil prices, and oil prices one month ago have a significant concussion on the current PPI of the chemical lines, and the effect of oil prices on the electronic device industry is weaker and more delayed.
Global Financial Crisis: Causes and Reactions
Authors: Wang Yiming
Published: September 2023

This paper examines the reasons behind the financial crisis of 2008, its effects, and the subsequent developments. At that time, the federal government's monetary policy promoted subprime loans, and credit default swaps were derived based on subprime loans. This series of reasons led to a huge bubble in the real estate market and directly caused the subprime mortgage crisis. Companies are closing one after another, unemployment and inflation are rising, and people's lives are getting more complex. To survive this crisis, the government passed pertinent legislation to support economic growth, and banking regulators corrected these laws to stop a repeat of the subprime mortgage crisis. Nowadays, the outbreak of the COVID-19 epidemic and the conflict in Ukraine have brought the world economy into trouble again. As a result, the 2008 financial crisis study is crucial to understanding modern society because it can be used to prevent future financial crises and effectively address economic problems.
The Formation and Development of Options and Pricing Models
Authors: Cheng Zhile
Published: September 2023

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.
Analysis of Two Representative Acquisition Deals in Media and Entertainment Industries
Authors: Zhou Wenxuan
Published: September 2023

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.
The Factors that Influence the Price of Crude Oil
Authors: Xu Haolun
Published: September 2023

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.
Biopharmaceutical Companies: The Winner of the Stock Market During the Covid Period
Authors: Guo Jiayuan
Published: September 2023

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 Correlation between Salary Cap and Team Performance
Authors: Wu Shuangxiong , Wang Bangye , Wang Junzhe
Published: September 2023

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.
Research on the Factors of Moderation in Enhancing Corporate Value
Authors: Du Wanqi
Published: September 2023

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 CAPMs 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.
Analysis of the Relationship between Expansionary Monetary Policy and the Housing Bubble in the United States based on the Taylor Rule
Authors: Xu Yuhan
Published: September 2023

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 Change of Consumer Behavior within the Context of COVID-19
Authors: Cui Yajie
Published: September 2023

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.
Research on Insta360's Marketing Strategy
Authors: Li Hui
Published: September 2023

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.
Elon Musks Twitter Buyout: Game-Changer in Social Media
Authors: Zhu Yangyi
Published: September 2023

The $44 billion acquisition of Twitter is full of drama, according to Elon Musk. It could even serve as a case study for future industry leaders. But Twitter is a complete mismatch with Elon Musk's existing or ongoing business units. At the same time, Musk is trying to enforce his will with a new acquisition strategy that has sent certain messages. He said he was buying Twitter for freedom of speech. By comparing his company's business model to its industry. Twitter as a media platform doesn't fit with Musk's original business landscape, but he has a new acquisition strategy that is getting its message across. Musk's wealth comes largely from his stakes in Tesla and SpaceX. Both companies were funded by private investment and government contracts and have grown and succeeded. Before the acquisition, Twitter had been struggling with financial challenges. Musk may have seen the potential to turn around Twitter's finances, using the platform to influence public opinion and have more control over the narrative on the platform. Elon Musk's acquisition of Twitter highlights the potential impact on a struggling business of a chief executive with a large stake in a number of successful companies. Despite business model mismatches, Musk's experience in growing and growing his company, combined with his belief in the power of social media, could lead to a successful future for Twitter.
Critical Factors Impacting Consumer Behavior in Douyin E-commerce
Authors: Wei Lixuan
Published: September 2023

After the global public health emergency, changes in consumer behavior are subtly affecting people's lives. Based on the Douyin e-commerce platform, and marketing concepts, including the Stimulus-Organism-Response model (SOR), Elaboration Likelihood Model (ELM), and consumer decision-making process, this paper studies the transformation of consumer behavior through statistical methods. From the research results, it can be concluded that consumer purchasing aspirations can increase by 2.919 times when the total assessment of the recommended goods in the Douyin e-commerce platform increases by one unit. Based on this, changes in consumer behavior will help scholars find future research directions. At the same time, suggestions based on the results can also outline a future blueprint for the development of short video e-commerce companies and industries.
Analysis of Coca-Cola's Marketing Strategy
Authors: Le Jian
Published: September 2023

In recent years, with the continuous improvement of people's living standards, people have paid more and more attention to their health. This has led to more and more people seeking fresh juice, diet drinks and other healthy drinks. As a representative of high-sugar and fat-prone drinks, what marketing means will Coca-Cola choose to ensure the survival of the company under this social background? In addition, how will different stakeholders be affected? In this article, we will use PESTLE, stakeholder, and SWOT analysis, as well as Enterprise Life Cycle (ELC) and Ansoff Matrix analysis, to demonstrate how Coca-Cola Company uses technology and innovative marketing strategies to gain a large number of loyal and long-term customers. It can be concluded that Coca-Cola made various decisions under the threat of other competitors in an environment where people pay more attention to their health.
Customer Satisfaction Assessment in Banks
Authors: Hu Huishuang , Cheng Kangqi , Zhang Sinan , Peng Junying , Ge Zhuoxin
Published: September 2023

The Chinese banking industry's physical services have been severely impacted recently. The service model of major types of banks in China has undergone relatively significant changes. This study aims to assess customer satisfaction for various kinds of banks in China in recent years. Based on the data from the China Banking and Insurance Regulatory Commission for the past three years, we conducted a spss analysis on these data. Specifically, the factors affecting bank customer satisfaction were mined through comparative analysis, factor analysis, and ANOVA. A data set study demonstrated that customer satisfaction of different bank categories was not merely about deposits and loans but more about service experience and quality wealth asset allocation. The results indicate that to maintain their banking edge in the current economic downturn, all categories of banks must keep up with the social environment and pay sufficient attention to finance business.
Research on the Influence of Female Director Ratio on Business Performance -- Explanation from the Symbolism Theory
Authors: Lau Tsz Lam Christopher
Published: September 2023

Due to the improvement of women's ability and status in the workplace, the role of female directors in corporate boards has also attracted extensive attention from scholars. Compared with Western countries' emphasis on women's rights and interests protection, the proportion of female directors in China is relatively low. The symbolism theory holds that companies appoint female directors only to signal to establish women in society, which is only a nominal appointment rather than based on female directors' characteristics or abilities. It has no relationship with the actual operation of the enterprise. Using the data of Chinese A-share listed companies from 2008 to 2018, this paper empirically proves that the presence of female directors has no significant impact on the business performance of enterprises.
Customer Choice Preference Analysis in Marketing Based on a Discrete Choice Model
Authors: Yang Kunlin
Published: September 2023

In the construction and development of modern society, it is a powerful measure for enterprises to obtain more economic and social benefits to accurately grasp the basic needs and choice preferences of different consumer groups. This paper mainly discusses the characteristics of the customer object and the influencing factors of the choice preference in marketing. The MNL model is used to analyze the influence of a single statistical factor on consumers' choice preferences. Taking liquid dairy products as an example, subdividing consumer groups provides an effective basis for the construction and operation of the liquid dairy supply chain. While analyzing the basic information of the respondents, the correlation between different personal consumption characteristics and brand, price, taste, promotion, and outer packaging is analyzed through the correlation analysis method. The analysis results show that age and education level have a negative impact on brand or food quality and safety, while income has a significant positive impact on brand or food quality and safety. There are significant differences in the selection of liquid dairy products among consumer groups with different education levels.
Technology Industry Stock Price Prediction Based on OLS, Random Forest, and Extreme Gradient Boosting
Authors: Guo Ce
Published: September 2023

Contemporarily, the marriage of artificial computer intelligence and the financial stock market has gained increasing interest in recent years. In recent years, forecasting stock prices has also been a more prevalent topic of conversation. Investors lack a coherent knowledge of the model mechanism and prediction results behind stock price forecasts. Hence, this paper will examine Apple, Microsoft, and Amazon, the three largest technology businesses. The three models OLS, Random Forest, and XGBoost were used to predict and evaluate historical data from the past five years. The OLS model has a superior performance structure when dealing with data sets with low data frequency, and its anticipated outcomes are also more accurate, according to the research. In addition, different machine learning models are employed for diverse data sets to produce predictions, hence enhancing the accuracy and dependability of the future predictions. Overall, these results shed light on guiding further exploration of investor investments in stocks and researcher studies theories and models.
Stock Price Prediction Using Stepwise Regression and Improved with Factor Analysis
Authors: Dai Qiang , Liu Yantong , Cai Kaiyin , Jia Chunlin
Published: September 2023

Owing to volatility in stock markets, it is quite elusive to forecast stock prices. Albeit, sometimes regular patterns are manifested in stock prices and a variety of factors are proved to be competent to determine stock prices partly. Hence, using stepwise regression on historical stock price data, this paper proposes determining similar patterns in stock prices and exploring potential rules to select the main factors that can affect stock prices significantly while taking all factors into account. Difference analysis is also employed to probe possible correlations in the data. Eventually, this paper tries to improve stock price prediction using factor analysis and manages to achieve higher accuracy.
Analysis of the Problems and Countermeasures of Innovation Management of Small and Medium-sized Enterprises in China
Authors: Jia Ning
Published: September 2023

Small and medium-sized enterprises (SMEs) can promote the development of the national economy and society. In the market, small and medium-sized enterprises can provide jobs, promote technological development and accelerate economic growth. With the development of big data and management information systems, small and medium-sized enterprises are facing severe tests. Innovation management is an implementable way to meet this test. Innovation management is an all-round innovation from the main technology, system and management idea of an enterprise. It not only integrates the external resources of the enterprise but also improves the vitality of the enterprise itself and the ability to deal with risks. Therefore, this paper analyzes the problems and countermeasures of innovation management in SMEs in China. By using the method of a literature review, this paper expounds the requirements, current situation, and solutions of the innovative management of Chinese small and medium-sized enterprises and finally draws the conclusion that SMEs should innovate organization and ideas, widen financing channels, and enhance the ability of independent innovation.
1990 Japan Economic Crisis
Authors: Zhang Junjie
Published: September 2023

What can each country learn from this? How can economic crises be effectively avoided? When an economic crisis occurs, what can be done to avoid adopting the wrong policies? This paper is based on the economic crisis that occurred in Japan in the 1990s because of the rapid appreciation of the Japanese yen following the signing of the Plaza Agreement. The paper is divided into four sections to analyze the Japanese economic crisis of 1990. It describes the following questions: what led to the crisis in Japan; what impact the crisis had on Japan; what methods the Japanese government used during the crisis and what lessons the crisis brought; what each country can learn from it; and whether they can do better than the Japanese government did when it faced the economic crisis in 1990. Through the study, this paper finds that the Japanese government in 1990 did not immediately deal with and make adjustment plans when faced with the crisis. Secondly, it maintained an optimistic attitude. This is what led to the creation of the economic crisis. And this economic crisis pressed the pause button on Japan, which was growing at a fast pace, and stagnated the Japanese economy for 10 years. The effects of Japan's high ageing population and high divorce rate in that period continue to this day and seriously affect a country's economic development.
Two-sided Matching Theory and Its Application in E-commerce Environment
Authors: Yuan Yue
Published: September 2023

Since the turn of the 21st century, China's e-commerce has exhibited a rapid development trend of diversification and internationalization. The number of users on e-commerce platforms has increased significantly, the network infrastructure has continued to improve, the number of cross-border e-commerce transactions has risen steadily, and the two-sided matching problem inherent to it has become a topic of increasing interest. Each agent in the e-commerce market may have several attributes, and e-commerce market matches are sophisticated and multi-variant. Thus, the development of a suitable matching mechanism is crucial for the market's effective operation. This paper explores the prior literature on two-sided matching theory and its application in the e-commerce sector, combs its research progress, summarizes the advantages and disadvantages of present matching approaches, and anticipates the growth of application domains in the future.
A Review of the Impact of Social Media in Customer Relationship Management of Large Corporations in the UK
Authors: Song Haojing
Published: September 2023

Customer relationship management, abbreviated as CRM, is a concept used in marketing that focuses on the customers needs and satisfaction to improve the company's performance. CRM puts the customer at the center of the company's operations, and all the information related to them is considered in making the company's important decisions. In the business world today, technology has changed traditional procedures due to the emergence of the internet and social media channels. Social media has changed everything from lifestyle to business operations. In this context, large and small business organizations are adjusting to the changes by adopting social media in their marketing strategies. It is clear that customers are the only source of current and future profits for the company thus, developing systems that are customer-centered is the new norm in the business world. Traditional CRM uses internal strategies that help understand customer needs, while Social CRM uses social media platforms to manage their customers. Integrating social media and CRM has helped companies improve customer interactions and offers ways of managing and measuring social networking for successful customer engagement. This paper aims to review various studies touching on the impacts of social media CRM on large Corporations in the UK.
The Influence of Movie Release Modes on Movie Revenues: Take Lost in Russia and Lost in Thailand as Examples
Authors: Chen Ruoxi
Published: September 2023

In recent years, the competition between China's streaming movies and theatrical movies has intensified. The epidemic has further promoted the development of streaming movies and enhanced the competitiveness of streaming platforms. Traditional theater companies have felt the threat of being "replaced". This article takes the two movies Lost in Russia and Lost in Thailand as examples to analyze the impact of different release modes on the tbox office and concludes that the streaming movie Lost in Russia has a higher box office. Alt-hough there are some accidental factors in the success of Lost in Russia, this study guides the future development of streaming media platforms and theater companies. This article finds that streaming movies have advantages in publicity and cinema chains have ad-vantages in production through SWOT analysis, but they also have inherent disadvantages. Since the streaming media platform and the theater chain cannot replace each other for the time being, and the coexistence of the two release modes is unavoidable, the streaming media platform and the theater chain company should learn from each other's advantages and develop together.
A Prediction of the Construction Area of Residential Real Estate in Shenzhen Based on ARIMA Model
Authors: Guan Zixuan
Published: September 2023

The real estate markets are an important component of Chinese economy structure which is worth to study and predict. This paper uses the autoregressive integrated moving average (ARIMA) models to predict the construction area of residential real estate in Shenzhen. The data is given by a convinced and reliable company CRIC. CRIC focuses on the Chinese real estate market for years. With the dataset from CRIC and based on the ARIMA methodology, the author gives a roughly prediction which shows that the construction area of residential real estate in Shenzhen will continuously rise in a short term. Serious of tests are invoked, such as white noise test and unit-root test etc. The author then draws a conclusion by those tests, which implies that the construction area of residential real estate in Shenzhen is worth to predict statically. And in the real-life dimension this prediction can provide a valuable reference to politicians and investors. For politicians, the prediction can help them make policy. And for investors, the prediction can help them maximize their benefits.
Research on Trend Investing Strategy and Hedging Strategy
Authors: Feng Xiaotong
Published: September 2023

An investment method based on traditional subjective judgments faces huge challenges, while the strategy of quantitative investment is to find the optimal alpha model to judge the best timing of selling and buying and designing the most effective investment portfolio. Therefore, compared with traditional investment methods, quantitative investment breaks through the limitations of subjective judgment with its qualitative and quantitative advantages. The futures market attracts many investors with its low transaction costs and the two-way nature of transactions. However, most of the investment strategies that are frequently used in the market have low stability and do not guarantee correlation with the general market trend. This makes the investments risky, particularly for individual investors. Therefore, this paper will explore both futures investment and risk hedging strategies, aiming to ensure that every buy and sell is the correct choice as much as possible, such that futures investment is relatively stable and has high returns. This article focuses on using the moving average cross strategy through the python programming language to achieve the judgment of buying and selling in the process of futures trading and drawing the net worth curve of the real-time futures market data and perform a correlation analysis to determine which commodity sector is the most suitable using the trend strategy. For risk hedging, the article mainly uses the correlation analysis to study the relation between the prices of different types of futures. Furthermore, the futures and options market price fluctuations are discussed in depth, and also analysed is how to use and balance hedge parameters for risk hedging.
Relationship between Tea Export and Major Macroeconomics Variables in China
Authors: Liang Zenan
Published: September 2023

Along with the impact of the COVID-19, China's import and export trade suffered a huge impact in 2020. Among them, tea exports have seen a rare decline. In order to recover the tea industry, this study analyzes the factors influencing China's tea exports. In economic theory, macroeconomic variables occupy an important position, and they allow a reliable assessment of the overall development of the industry at the macro level. In this paper, several macroeconomic variables from 2013 to 2021 are selected and used as independent variables, and the tea export volume in the same period is used as the dependent variable for regression analysis. However, the calculation of VIF revealed that the conventional multiple linear regression would be disturbed by multicollinearity, leading to unsatisfactory results. Considering the problem of multicollinearity, this study uses ridge regression and K-folds cross validation for processing and derive the corresponding ridge regression coefficients so that the significance of each variable can be examined. The results of the analysis are that GDP is most closely related to tea exports, while population size and local tea production are slightly less closely related, and exchange rate is the least related variable.
Research of the Development Strategies of Multinational Corporations in Emerging Markets
Authors: Qi Xinyue
Published: September 2023

Emerging markets are significant target markets for a range of goods and services due to their large consumption potential. Yet, because of the general lack of market liquidity in emerging markets, the growth of multinational firms just so happens to increase market liquidity and draw in additional investors. Therefore, the development of multinational corporations plays a vital role in promoting the prosperity of emerging markets. This paper focuses on the development strategies of multinational corporations in emerging markets. Through searching and collecting the development process and relevant information and data of well-known old multinational corporations, this paper analyzed and compared them, and summed up three important strategies. It can be concluded that in order to make established multinationals play a bigger role in emerging markets and get more emerging market companies to become multinationals, there are three important strategies: stick to direct investment, create unique business models, and promote internationalization.
The Impact of Technology Monopolization on the Technological Development and Foreign Economic Cooperation Policies of BRICS Countries
Authors: Hu Qingyang
Published: September 2023

As the world economy has become more interconnected, technology's role as a driver of growth and a source of competitive advantage for businesses has grown in importance. The BRICS countries have been the engine of global economic growth for over a decade, but they now encounter varying degrees of opposition to their economic development. The developed world has implemented several strategies to preserve its position as the world's undisputed technological leader to maximize its profits and increase its market share. In order to accelerate economic growth, BRICS nations must work together to acquire cutting-edge technology that has been restricted from being exported to developing nations by developed nations. After providing a brief background on the technological monopolies of developed countries, this article analyzes the current state of technological development in the BRICS nations. Then it discusses the impact these monopolies have on technological progress before proposing countermeasures for foreign economic cooperation among the BRICS nations in light of these monopolies.
Financial Analysis on Yankershop Food Co., Ltd
Authors: Chen Jiajin
Published: September 2023

With the gradual liberalization of China's epidemic policy, China's retail consumer industry is also recovering. Yankershop is a well-known company in China that specializes in snack manufacturing and sales. Yankershop's share price showed a rapid upward trend in both the second half of 2022 and the beginning of 2023, which means Yankershop perform well in this period and investors in the market show their confidence in this company. In FY2022Q3Yankershop's ROE reached 22.81%, which is an absolute leader in the snack industry. This article first analyzes the current situation of China's leisure snack industry and combines it with the situation of Yankershop. After that, this article analyzes Yankershop's business conditions through the company's overall introduction, accounting policy confirmation, and accounting analysis. At the same time, the results of Yankershop's sales channel reform and product strategy reform are mentioned in this article. These two reforms can partly explain Yankershop's good performance. Finally, analyze and reveal the future profitability of Yankershop and possible risks.