bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Marketing Strategy of Holiland Brand in Chinese Market
Authors: He Jingyi , Qin Yuhan
Published: January 2024

As the largest bakery chain in China, Holiland has a leading influence on the Chinese market. From the beginning of its establishment to the present, its brand positioning and brand image have been continuously optimized, and the visibility of the brand itself has been greatly improved across a variety of baked goods categories. The current marketing situation of Holiland has some problems, such as the brand positioning is not clear enough, the lack of Chinese characteristics and the lack of brand marketing precision. The suggestions are to clarify the brand positioning, optimize the brand image, improve online and offline services, reduce the capital investment of uncompetitive products, continue to develop new products, optimize the membership system, make reasonable use of star effect and use reasonable promotion strategies. This paper makes clear the present situation of Holiland enterprise in the market pattern, explores the causes of related marketing difficulties, and summarizes the specific implementation plan and effect evaluation system of marketing. It is of great guiding significance to Holiland's new media marketing strategy. It is hoped that this can provide some meaningful enlightenment for the development of China's baking industry marketing.
Research on Marketing Strategy of Chinese Confectionery Industry Take Alpenliebe Candy Brand as an Example
Authors: Lu Zixin
Published: January 2024

This study pays attention to the unique marketing strategy of the Alpenliebe Confectionery brand and how it has succeeded. It is very important to study this topic because its marketing means can bring inspiration and creativity to many small and medium-sized candy enterprises in China. The reason for writing an paper is that this topic is well-worthy to make an research and it is interesting for me to talk about the candy confectionary phenomenon. The article focuses on prominent STP and SWOT analysis and gives some suggestions on its strategies. Although there are no fatal drawbacks to make lots of suggestions, it is better to focus on the secret of success of Alpenliebe and insert this experience to motivate other small but fashionable brands to imitate, which helps them attract more target consumers. The brand of Alpenliebe is well-worth to do the research and make it into the paper. Finally, it is necessary to conclude to make the content full enough.
The Impact of Federal Reserve Increasing Interest Rate on ETH Market
Authors: Cheng Haolan
Published: January 2024

On 16th March 2022, U.S. Federal Reserve increased the interest rate the first time, and in the whole year, U.S. Federal Reserve made seven increments on interest rate. As this will affect the value of dollar, many American financial assets were also affected by it, including ETH, one of the most famous cryptocurrencies. This paper uses the history data of ETH price from January 2018 to July 2023 and constructs ARIMA model without Federal Reserve increasing the interest rate to compare with the reality in order to comprehend how the increasing interest rate affected the price of ETH, and use the model to predict the trend of Ethereums price. With the influence of increasing interest rate, the price of Ethereum should decrease. However, after the U.S. Federal Reserve increased interest rate, the price of Ethereum went up for a while then dropped dramatically. And the reasons why this delay appears are the delay of policy and the first increment of interest rate is not attractive enough for investors to change their strategies. That can bring some inspirations to policymakers. They should acknowledge that there will be a delay in the market after the policy is released and they could give some potential signs or preferences on the new policy to reduce the shock to market. For investors, they could pay more attention on relevant policy and make use of the delay to make more money.
Identifying the Science and Art of Interactive Experiences
Authors: Li Honghao
Published: January 2024

In game design, player engagement and game attractiveness are important components that influence player interaction and interest. This study examines player interaction with different game design aspects, including different races, difficulty levels, novice tutorials, and character design. A mixed-methods research approach was employed, combining qualitative and quantitative methods. A literature review was conducted to gather existing knowledge and insights. Expert interviews, surveys, and user testing sessions were also shown to collect data. The research findings indicate that allowing players to customize characters of different races enhances player immersion and immersiveness. In addition, multiple difficulty levels tailored to player preferences increase player satisfaction and motivation towards the game. And engaging character design, including unique traits and visually appealing aesthetics, can enhances player enjoyment and emotional connection. The research also emphasized the importance of player-centric design in game development. Developers can create immersive experiences that foster player engagement and enjoyment by incorporating these design elements such as player preferences, motivations, and engagement factors into games.
A Study on the Impact of Industrial Robot Development on the Economy A Case Study of China
Authors: Zhou Zhenxiang
Published: January 2024

The impact of industrial robot development on the economy has long been a subject of keen interest. This research aims to explore the role of industrial robots in the Chinese economy and the factors influencing their impact. This is achieved through an analysis of the scale of the industrial robot market, its applications, the localization process, and its effects on employment and production efficiency. In the course of this study, we review the rapid growth of the Chinese manufacturing sector and the increasing adoption of industrial robots. With technological advancements, industrial robots have achieved significant milestones in fields such as automobile manufacturing and electronics production. Subsequently, this paper delves into the repercussions of industrial robots on the Chinese economy. Data indicates that the widespread use of industrial robots has significantly enhanced production efficiency, lowered production costs, and improved product quality. Furthermore, the paper scrutinizes the progress of domestication in the industrial robot sector, highlighting China's positive strides in enhancing its capacity for independent research and development, as well as manufacturing. Consequently, the rapid development of industrial robots has exerted a multifaceted impact on the Chinese economy, fostering both production efficiency and industrial upgrading, while also giving rise to a series of employment and societal issues. In the future, China should continue to intensify its efforts in technological innovation and talent development to better address the challenges and opportunities arising from the development of industrial robots, thereby promoting sustained and healthy economic growth.
Market Analysis and Competitive Strategy Research of Duopoly Market Take McDonalds and KFC as Examples
Authors: Lin Shujing
Published: January 2024

In a duopoly, the two businesses will typically compete with one another to keep the market from becoming a monopoly, in which a single business controls the whole market. This research paper analyzes the strategies that McDonalds and Kentucky Fried Chicken (KFC) use in the duopoly market to understand the real world better using economic models by introducing the history of the development of these two fast food companies and analyzing their similarities and differences to find out the potential or already existing problems and the solutions to them. After entering China, KFC and McDonalds became the old enemy for over 20 years. Still, the continuous evolution and change in the process of brand localization, so that they slowly from the irreconcilable relationship slowly became hand in hand, at least in the competition in the same industry, the smoke between the two is not so strong. Whether it is the grounding of KFC or the persistence of McDonalds personality, they have undoubtedly found their development path in the Chinese market.
Influencing Factors of Tourist Willingness of Tourists in Meiling Scenic Area of Nanchang: Based on the Theory of Push and Pull
Authors: Huixin Liu
Published: January 2024

Since the outbreak of the new crown epidemic, peoples attention to public health events and physical and mental health has increased, and the changes in tourism consumers perception have made consumers more favored for green, healthy and ecologically sound tourism destinations, and forest tourism has gradually entered the publics vision. Forest tourism is based on forest resources and takes the beautiful ecological environment as the standard, and the tourism activities carried out in the forest area fully reflect the richness of forest scenery and the diversity of forest tourism functions. Chinas forest tourism started in the early 80s of the 20th century. In the past 40 years, along with the pace of Chinas reform and opening up, forest tourism has grown from scratch and from small to large, becoming a major undertaking to promote economic and social development and improve peoples livelihood. In recent years, Nanchang Meiling National Forest Park has developed rapidly, this paper chooses to collect 200 samples from the perspective of tourism consumers, through the distribution of questionnaires, and use the statistical software SPSS 26.0 for data analysis, so as to further analyze the psychological factors affecting tourism consumers willingness to forest tourism, which is conducive to better insight into peoples demand for green ecotourism under the background of the epidemic, so as to better propose specific development strategies for the development of forest tourism in Jiangxi Province.
The Insight of Electric Vehicle Population in Washington
Authors: Ruan Luyi
Published: January 2024

With the declination of the traditional vehicles that need fuel to combust engine, the number of electric vehicle population has been booming in recent years, which is effective and environmental-friendly. With electric consumption increasing, this study takes American electric vehicle population in Washington for example, analyzing the current situation of EVs by numbers of EV manufacture, geographic distribution, top brands, top models, and electric charge types by a given data set. These market phenomenon provides some clues about the progress of zero carbon emission in a global vision. The study will compare the similarities and differences about battery electric vehicles and plug-in hybrid electric vehicles, and also mention some the possible future tendency about electric vehicles. Moreover, based on the analysis, this paper presents some market opportunities and threatens of the development of electric vehicles. The achievement about low carbon and clean energy consumption not only rely on consumers purchasing choice, but also need macro regulation on power structure and balance in supply and demand of electricity.
Motivation and Countermeasures of Financial Fraud in Listed Companies A Case Study of Luckin Coffee
Authors: Wu Zhuoyan
Published: January 2024

The prevalence of financial fraud within publicly traded corporations has emerged as a significant concern within the field of auditing. In recent years, there has been an exacerbation rather than a mitigation of instances of financial fraud. Luckin Coffee is a domestic coffee brand that has emerged in the market, established by Qian Zhiya, who previously served as the CEO of Shenzhou Youchuan Group. Established in the year 2017, the organization achieved a notable milestone by being successfully listed on the NASDAQ stock exchange in 2019. In the year 2020, the disclosure of financial wrongdoing occurred. The discreet and innovative financial fraudulent practices employed by Luckin Coffee can serve as a valuable point of reference for the future advancement of firms. This paper presents an introduction to the fundamental notion of financial fraud and its associated theories. It proceeds to investigate the specific financial fraud process employed by Luckin Coffee. Additionally, it proposes recommendations for mitigating the risk of financial fraud in listed businesses, utilizing the Gone theory.
Model Analysis on the Birth Rate in China
Authors: Chen Yongjie
Published: January 2024

This paper delves into the modeling and prediction of the birth rate in China, exploring the connection between Chinas economy and the birth rate using R. The study aims to find the best model to make a short-term forecast for the future birth rate in China. The research analyzes the birth rate data from 1950 to 2018 and identifies the factors that contribute to the decline in the birth rate in China. The study uses the ARIMA and ETS models to forecast China's birth rate and compare their performance. The research findings suggest that the ARIMA model outperforms the ETS model in forecasting the birth rate in China. The study culminates in emphasizing the importance of grasping the birth rate trends, particularly in crafting social policies, strategizing infrastructure development, and fostering economic growth. Policymakers should use the insights from this research to address the challenges of an aging population with a slowing economy in China.
Research on the Impact of ChatGPT on the Chinas Economy
Authors: Wang Rui
Published: January 2024

In recent years, the rapid development of artificial intelligence technology has had a wide and profound impact on the global economy. As one of the important technologies in the field of artificial intelligence, ChatGPT has the ability to generate automated conversations and has attracted widespread attention. However, the impact of ChatGPT on the Chinese economy has not yet been comprehensively studied. This study aims to explore the impact of ChatGPT technology on the Chinese economy, and provide theoretical guidance and practical references for further understanding and addressing the challenges and opportunities brought about by the rapid development of artificial intelligence technology. This article adopts the methods of literature review and case analysis, combined with an overview of ChatGPT technology, to discuss the application of ChatGPT technology in the Chinese economic field from the perspectives of direct and indirect impacts. In terms of direct impact, the automated conversation generation ability of ChatGPT will greatly improve efficiency and experience in areas such as customer service, online education, and intelligent assistants. In terms of indirect impact, ChatGPT technology will change the industry landscape, promote economic structural upgrading, and enhance innovation capabilities.
Research on the Marketing Strategy of Plus-size Women's Clothing -Based on 5C Theory
Authors: Wang Liuli
Published: January 2024

According to data, there are more than 90 million obese people and 200 million overweight people in China, many of whom are women. Therefore, the plus-size women's clothing market is increasingly demanded by the market. This article is based on the 5C theory to study the current marketing strategies of plus-size women's clothing in China and what marketing strategies should be adopted by Chinese plus-size women's clothing brands in the changing market environment. Through literature reading and analysis, it can be concluded that based on the 5C theory, the current marketing strategy of plus-size women's clothing brands is: In order to cope with the changing market environment, Chinese brands need to respond flexibly, continuously innovate and optimize marketing strategies, and keep pace with the times. Advance, maintain competitiveness, and integrate Chinese traditional culture and clothing to move towards the international stage.
The Marketing Strategy Analysis of Starbucks
Authors: Xu Ziqing
Published: January 2024

With the development of the Internet and the continuous innovation of science and technology, it is more and more convenient for people to communicate on the Internet. The Internet provides people with a variety of social platforms and channels to learn about various brands. At the same time, in order to meet the trend and peoples preferences, many brands have also innovated their marketing methods and strategies. With the increasing pressure of study and works, coffee has gradually become an indispensable refreshing drink in peoples life. The competition between different brands of coffee in the coffee market is becoming increasingly fierce. Starbucks, as a world-famous coffee brand, has a noticeable influence in the coffee market. Starbucks is a world-renowned coffee chain brand with a large number of customers and followers around the world. Since its establishment, Starbucks has achieved great success in marketing and has attracted many fans, and its brand awareness has also been significantly improved. However, how to improve the sales of coffee and how to play a leading role in the coffee market requires Starbucks to formulate and implement the most suitable marketing strategy. This essay mainly analyzes the marketing strategy of Starbucks from the aspects of brand value, customer portrait, competitors, marketing status, etc. This paper uses SWOT theory, and 4P theory tools to analyze Starbucks marketing data and marketing reports, and discusses Starbucks strengths, weaknesses, opportunities, threats in the coffee market and the reasons for its success in the coffee market.
The Integration and Development of Franchising in China Take InterContinental Hotel as an Example
Authors: Liang Yunli , Liao Chenyu
Published: January 2024

This paper has conducted in-depth research on the franchise business model of InterContinental Hotels and its application in the Chinese hotel industry. Using the franchise business model has brought benefits to InterContinental Hotels, including brand expansion, increased market share, additional revenue streams, resource consolidation, and risk sharing. Through the SWOT analysis, this paper analyses the strengths of Intercontinental Hotels high brand awareness, including perfect comprehensive facilities, broad global distribution network; the weakness include high franchise costs, strict operating standards; the opportunities include market demand growth, opportunities and economic fluctuations needed for emerging market expansion, and the threats include strong competitors, and put forward the use of InterContinental Liquor. The brand advantage of the hotel enhances the user experience and explores the development strategy of new market opportunities. The article has also discussed the applicability of the franchise business model and the role of the government in franchise development. At the same time, this experience has extensively explored the franchise business model of InterContinental Hotels and its application in the Chinese hotel industry.
Exploring the Subprime Crisis
Authors: Chen Sizhuo
Published: January 2024

This paper delves into an examination of the three primary interrelated factors that precipitated the subprime mortgage crisis: regulatory deficiencies, policy failures, and dysfunctional innovation. Furthermore, it conducts an analysis of the underlying factors that exacerbated the ramifications of this economic upheaval: the excessive proliferation of securitization, a deficiency in market transparency, inadequate risk management practices within financial institutions, and challenges associated with credit rating agencies. The subprime mortgage crisis has incited extensive discourse across diverse sectors, notably encompassing two pivotal dimensions: firstly, inquiries surrounding the transparency of assets and, secondly, predicaments pertaining to governmental intervention for market stabilization. This article undertakes a comprehensive categorization and in-depth exposition of these discrete issues, proffering meticulous explications corroborated by empirical substantiation. Culminating in its denouement, the article proffers prudent recommendations aimed at preemptively mitigating the advent of future crises. The entire discourse endeavors to maintain an objective and truthful perspective, aiming to explore the fundamental nature of the subprime mortgage crisis rigorously.
Analysis of the Status of Digital Economy in China's Economy
Authors: Cao Cheng
Published: January 2024

Digital economy is the hot point of the worlds financial and economic system. The combination of usage of financial technologies and innovation of that have a lightly prospect of the financial development. To know about the impact of digital economy on Chinese regional economic promotion, this essay will question two queries: What is the status of digital finance in the past and current China economy? What aspects of risks need to be avoided in developing process of digital economy? It will combine some cases and data in China firstly and then analysis them as well as giving conclusion and suggestion in the end. Finally, this paper gets a conclusion that digital economy will be the important part of not only Chinese economy but also the world economy. In order to build up an excellent environment for that, there are some factors that have to been paid attention to, including personal information leakage, financial fraud, technical unemployment risk, national essential data leakage and market monopoly.
The Mechanism of International Entrepreneurship to Improve the Innovation Performance of Enterprises: Based on the Perspective of Social Network
Authors: Cai Shangle
Published: January 2024

In order to avoid the negative impact of external disadvantages and changing international business environments, enterprises have an urgent need to establish an effective social network, seek improvement in innovation performance, and stabilize their position in the international market. This paper conducts an exploratory single case study on the Midea Group, investigates the mechanism of international entrepreneurship to improve enterprise innovation performance based on the formation of multiple social networks, including government network, business network, and technological network, and discovers that in the process of international entrepreneurship, three-dimensional social networks contribute to resource conversion, research and development capability, market share, and other factors that boost corporate innovation performance. This research helps to understand the key elements in the process of international entrepreneurship, as well as how to build a close social network with stakeholders, rationally allocate and share various resources, and improve the international business environment and innovation performance of enterprises.
Impact of Covid-19 on Private Bank Based on SVB
Authors: Huangfu Bingxin
Published: January 2024

The COVID-19 pandemic has had a profound impact on private banks such as Silicon Valley Bank (SVB). This summary explores the impact of the pandemic on private banking operations, financial performance, and strategic initiatives. The rapid shift to digital banking, driven by lockdowns and social distancing measures, highlights the importance of strong technical infrastructure and cybersecurity measures. Private banks have had to deal with increasing credit risk and market volatility and have therefore had to adapt their lending practices and risk management frameworks. However, private banks focused on sectors such as technology and healthcare have experienced growth opportunities. Effective communication and personalized support are critical to keeping customers engaged during a crisis. It not only describes the causes of the collapse of Silicon Valley banks but also describes what changes government departments, banks, and individuals should make after these social changes, how to avoid these risks, and how to lead the company to a better path of development.
The Impact Caused by the U.S. Increasing Real Interest Rate on Volatility Index
Authors: Wang Tongxin
Published: January 2024

This paper mainly focuses on the impact of the US interest rate hike on the volatility index after March 16, 2020. In this article, daily, weekly, and monthly volatility index data from 2010 to 2022 are extracted and the ARIMA model was used to determine and analyze the difference between actual value and fitted value of volatility index after increased rate. The study forecasts the effect of rate hikes on volatility index in short-, medium-, and long-term perspective. According to the ARIMA model, the interest rate hike has the greatest impact on the volatility index in the medium term, which is not obvious in the short term, and the impact of interest rate hike gradually decreases in the long term, and finally returns to the normal trend. Compared with other studies on the impact of interest rate hike on the overall economic activity, this paper only focuses on the impact of interest rate hike on the volatility index. Through the research of this paper, the policy makers can adjust the rate of interest rate hike according to the speed and amplitude of investors' response to the policy, so as to produce turbulence and panic on the stock market to a minimum extent.
An Exploration of the Driving Factors Behind Trade Protectionism
Authors: Sun Xudong
Published: January 2024

Given the thought experiment of David Friedman questioning the legitimacy of protectionism of international trade, this paper provides several determining factors contributing to protectionism in different dimensions: the profusion of infant industries lack the capability of achieving economics of scale, failing to compete directly with foreign mature sectors; indirect tax revenue like tariff could provide an extra fund for local government, and salvage of declining industries guarantees employment rate; and imposing protection policies could also be deems as unavoidable strategy when there is a politic competition. Overall, this paper outlines different logic reasonings behind the imposition of international trade protectionism policy. It is concluded that even though imposing international trade protectionist policy has detrimental impacts on both sides, there are still a bunch of ones exist served for political purposes other than economic considerations in the forms of trade war, high tariffs and certain quota , science and technology sanctions, etc.
Impact of Fiscal Policy on Unemployment
Authors: Wu Jiayi
Published: January 2024

Under the conditions of a modern market economy, the employment issue is a difficult problem that governments around the world must face directly. As one of the most important means for governments to implement macroeconomic regulation and control, it is of greater theoretical and practical significance to give full play to the positive role of fiscal policy in promoting employment. This paper introduces the concept of a flow model of unemployment to study the impact of fiscal policy on the labour market and explores the government's role in easing the contradiction between labour supply and demand and unifying the labour market through fiscal expenditure, taxation, social security and other means. This paper consists of four parts. The first part describes a flow model of unemployment in detail and studies how to reduce the unemployment rate theoretically. The second and third parts tell the different effects of expansionary fiscal policy and tight fiscal policy on the unemployment rate respectively, and how the government chooses the appropriate fiscal policy. The fourth part of the article selects the example of Japan in an economic down cycle to illustrate that the government needs to take into account both short-term and long-term factors, as well as the overall and local economic situation, and choose an appropriate direction or combination of fiscal policies in order to reduce the unemployment rate.
A Study on the Differences and Correlations Between Soybean Futures Markets in USA and China
Authors: Long Zhengfang
Published: January 2024

Futures market in the United States has gone through more than 150 years and has the most developed grain futures market in the world. By selecting soybean, the most representative product in the futures market, in this work, the ADF test and Granger test are utilized to objectively distinguish between the soy bean futures markets of China and America. This article examines the effects of exceptional events on the soybean futures in two nations in light of the two typical special events of the Sino-US trade war and the COVID-19 epidemic. The findings are made by the author: there is a strong correlation between soybean futures and spot in China and the US. However, the association is not as prevalent in China as it is in the US. There is a cointegration link between the soy bean futures markets in China and the US, and there is a Granger guiding relationship for China on the USA's soy bean futures market. The impact of the Chinese and American markets on each other is long-term. The COVID-19 epidemic and the Sino-US trade dispute are investigated as well by the author, who discovers a negative link between the prices on the soybean futures markets of the two nations. The Chinese bean futures market is characterized by a lack of risk appetite and an overwhelming reliance on the US.
Consumer Data Without Compromise: Integrating Differential Privacy and GANs for Privacy-Preserving Digital Marketing
Authors: Chen Zhuo
Published: January 2024

In the rapidly evolving digital marketing landscape, the utilization of consumer data is essential for efficient targeting and personalization of marketing practices. However, the growing concerns regarding user privacy and stringent data protection regulations have created challenges in accessing and using consumer data for marketing purposes. This paper introduces a novel approach that leverages Differential Privacy and Conditional Tabular Generative Adversarial Networks (CTGAN) to address these privacy concerns while maintaining the efficacy of data-driven digital marketing strategies. Our approach amalgamates the strengths of Differential Privacy and CTGAN, applying differential privacy to the original dataset to ensure that extracted data cannot be tied back to individuals. We then train a CTGAN on an open marketing dataset to learn and generate synthetic data of close resemblance. Through extensive empirical analysis, we evaluate the fidelity, utility, and trade-offs of our approach, demonstrating its effectiveness in synthesizing non-Gaussian and multi-modal distributions, and its applicability in real-world classification problems. The research also highlights the complexity of hyperparameter tuning and the importance of a balanced approach in model training. Our findings contribute valuable insights to both the theoretical understanding of generative models and practical guidance for digital marketing practitioners
The Secret of China Keeping Leading the Export of Steel Trade Since 21 Century
Authors: Liu Fan
Published: January 2024

The foundation was set by early industrialization, post-1949 emphasis on heavy industries, and post-1978 economic reforms.China emerged as a significant exporter of steel in the 21st century due to several factors that enhanced its competitiveness. These factors include the presence of abundant reserves of iron ore, a substantial labour force, and developments in technology. As a result, China successfully debunked the prevailing notion of relying solely on domestic resources and established itself as a prominent player in the global steel market. This paper examines China's global steel market dominance due to historical foundations, economic reforms, and competitive advantages. This study employs the H-O model and the supply and demand model, utilizing secondary data from various sources. The samples for this study include China's total population, China's GDP, Australia, and Europe and the United States. The type of data utilized in this research is secondary data, and it involves characteristics such as bar charts to observe the steel industry's development in China, Australia, and Europe and the United States. The data encompasses steel resource content, total steel import and export, total steel production, and the environmental policy stringency index. This paper proposes a novel avenue for future research, focusing on the integration of environmental factors into models explaining international steel trade dynamics. The investigation aims to shed light on the influence of environmental standards on trade patterns and, consequently, advance our comprehension of China's position within the global steel market.
Investigation for Covid-19 Affecting the Commodity Futures
Authors: Zhang Aochen
Published: January 2024

This article details the impact of the COVID-19 outbreak on commodity markets in 2020. The difference between the three futures in the energy industry, metal industry, and agriculture is compared. Crude oil futures for the energy sector are highlighted. Using a detailed event that existed at that time to analyze, we found the problems of crude oil futures under uncontrollable disease disasters, analyzed the reasons, and gave corresponding solutions. Throughout the event, the price of crude oil futures fell into negative territory for a period of time, which has never been seen before. Therefore, there are deficiencies in the way of dealing with such situations. And there are many restrictions in a type of energy industry like crude oil, for example, there are problems with storage methods for crude oil. This is also the root cause of the negative value of crude oil futures. Commodities like this are relatively weak in responding to major disasters, which is one of the aspects that need to be paid attention to during the subsequent trading period.
Comparison Between Different Pricing Models: Evidence from the Technology Industry
Authors: Xu Yuhan
Published: January 2024

The primary goal of this study is to investigate the applicability and analytical effectiveness of three models, namely the Capital Asset Pricing Model (CAPM), the Fama-French Three-Factor Model, and the Fama-French Five-Factor Model, within the technology industry. The study focuses on a sample of six representative technology companies, employing monthly data spanning a period of five years from 2018 to 2023. Empirical tests and regression analyses are conducted to empirically assess the performance of these three models. The results demonstrate that the Fama-French Three-Factor Model exhibits superior fitting performance compared to the CAPM model, as initially hypothesized. However, when comparing the fitting performance of the Fama-French Five-Factor Model to the Fama-French Three-Factor Model, the study reveals that the former does not exhibit a significant improvement and even shows a slight decrease in fitting effectiveness. For the technology industry, the Three-Factor Model effectively captures systematic risk and accounts for a sizable proportion of the variation in regressions. Additional factors in the Five-Factor Model might introduce additional complexity without significantly enhancing the model's explaining extent. Overall, this study underscores the importance of model selection and raises awareness about the trade-off between model complexity and explanatory capability, particularly in the technology industry.
The Federal Reserve's Interest Rate Increases and Their Effect on the U.S. and Global Economies under the Covid-19 Pandemic
Authors: Yi Linnuo
Published: January 2024

This paper delves into the successive Fed rate hikes that began in March 2022 and their far-reaching impact on the domestic and global economy. The paper primarily examines the reasons behind these rate hikes, focusing on their response to the problems caused by the COVID-19 pandemic, particularly unemployment and inflation trends. The pandemic triggered widespread lockdowns, leading to severe supply chain disruptions and economic downturns. During this period, unemployment rates rose sharply and reached historic levels. Central banks worldwide had adopted loose monetary policies to stabilize economies in the short term. However, this also raised the risk of persistent inflation. Fiscal stimulus, intermittent interest rate cuts, and a raft of bailouts, such as the CARES Act, have added complexity to the economic landscape, affecting various sectors and necessitating higher interest rates to restore pre-pandemic stability. Disruptions in global supply chains played a key role in stoking inflationary pressures, eroding consumer purchasing powers, and highlighting the urgency for the US Federal Reserve to intervene by adjusting interest rates. Assessing the impact of these rate hikes on stocks shows a resilient market that remained optimistic about the U.S. economic recovery. In addition, the study outlines the impact of these rate hikes on foreign exchange markets, international capital flows, emerging markets, trade dynamics, and global competitiveness.
A Python-based Empirical Study of Markowitz's Portfolio Theory in the Chinese Stock Market
Authors: He Qianwen
Published: January 2024

Markowitz's portfolio theory serves as a pivotal framework in investment science, offering investors a scientifically robust approach to asset allocation. This paper conducts an empirical analysis of the theory within the context of the Chinese stock market, utilising Python for data manipulation and computation. A selection of five stocks was made based on pre-established criteria, and Python was employed to examine their correlation for portfolio construction viability. Subsequently, Python facilitated the identification of the portfolio with the maximum Sharpe ratio and the minimum variance, as well as the delineation of the efficient frontier. Results from the empirical study confirm the applicability and utility of Markowitz's portfolio theory for Chinese investors, thereby substantiating its significant relevance in China's financial market. Based on the findings, investors are advised to diversify their portfolios following the guidelines of the efficient frontier to optimize returns while managing risks. Moreover, considering the complexities of the Chinese stock market, harnessing computational tools like Python can grant an analytical edge, enabling more informed decision-making. It's also pivotal for investors to routinely review and adjust portfolio compositions in line with market dynamics, ensuring they stay aligned with the principles of the efficient frontier.
Exploring the Impact of Different Linear Regression Approaches on Stock Forecasting
Authors: Yang Yiding
Published: January 2024

Since 2020, epidemics, the rise of tech stocks, stimulus measures and monetary easing have all had a huge impact on stock prices. With this in mind, this paper summarizes the historical background of stock price research, which has evolved at different stages from technical analysis to fundamental analysis to quantitative analysis and behavioral finance. At the same time, through a comparative study of multiple linear regression and univariate linear regression on stock price data from three Chinese securities firms, this paper finds that different stocks may require different prediction models to obtain more accurate prediction results. The significance of this study is that it provides investors with information about stock price fluctuations and trends, which helps to formulate more informed investment strategies and risk management. In addition, it helps economists to study the impact of stock market on macroeconomics. Overall, these results shed light on guiding further exploration of stock price prediction based on various models.
The Impact of E-commerce and Social Media Personalized Recommendations on Consumer Behavior in the Digital Era from the Perspective of Behavioral Economics
Authors: Yan Yikang
Published: January 2024

With the digitization of consumption methods, consumers' consumption psychology will also be affected, thereby affecting their final consumption behavior. E-commerce and personalized recommendations on social media in the digital era are two important influencing factors. Therefore, studying how these two factors affect consumers' consumption concepts and behaviors through behavioral economics has theoretical and practical significance. Existing research mostly analyzes consumers' choices when making online purchases from the perspective of behavioral economics, or how a single social media platform affects consumer behavior. This article aims to combine the two and analyze through behavioral economics how shopping platforms and social media platforms affect consumer psychology and thus consumer behavior in the information age. Summarize existing research results to determine how e-commerce shopping platforms and social media affect consumption outcomes, and explain the reasons from a behavioral economics perspective. Qualitative research is conducted through questionnaire data analysis and literature review. From the perspective of behavioral economics, it is found that most people hold a positive attitude towards personalized recommendation systems, but consumers are more interested in the gap between the recommended products and their psychological expectations and the effects it makes to improve shopping efficiency and protect one's privacy. Therefore, these factors have a significant impact on consumer psychology. In order for e-commerce platforms to increase their revenue, they need to improve in these aspects and establish trust with consumers.
How Has LVMH Performed Financially from 2018 to 2022: A Fundamental Financial Analysis of LVMH
Authors: Zhang Xinyue
Published: January 2024

This thesis will analyze and evaluate the value of the LVMH Group from a quantitative and qualitative perspective as part of its examination and evaluation as the topic of my dissertation. We are going to examine the qualitative analysis of COVID-19, the CEO of LVMH Bernard Arnault who is the richest man in the world, and LVMH's purchase of Tiffany in the qualitative analysis. As part of the quantitative analysis, the CAPM model and the Sharpe ratio were used to examine LVMH from a quantitative perspective. In addition, we also chose DCF, WACC, and relative valuation as measures of how well LVMH is performing. In the end, it was determined through a series of analyses and assessments made at various stages in the process that LVMH's stock price has been overvalued by the market. As a result of this, the luxury industry is generating enormous revenues, and a majority of the businesses are overvalued.
Analysis and Forecast of China's Unemployment Rate
Authors: Li Murong
Published: January 2024

The unemployment rate is an important economic indicator that measures the proportion of the unemployed labor force. The natural unemployment rate is the normal unemployment rate based on economic fluctuations. Analyze the unemployment rate to determine its root causes. By forecasting the unemployment rate, people can obtain an estimate of the future conditions of the labor market. Not only can the government make policy adjustments based on this, people can use this prediction to make wise career choices and planning, or to learn the necessary skills. The risk of unemployment is closely related to everyone, especially now during the economic downturn due to the impact of global catastrophic events such as COVID-19. Understanding the unemployment rate is an important part of analyzing the characteristics of the current labor market. If we can make more connections about the labor market and even make rough predictions about future trends, college students will be able to make future career choices that are more suitable for them. This study predicts the unemployment rate in the next nine years based on China's unemployment rate from 2012 to 2022, which will fluctuate within a fixed range. The government can increase spending (such as on education) and use monetary and finance polices to ensure that unemployment does not exceed forecasts.
Limitations and Critique of Modern Portfolio Theory: A Comprehensive Literature Review
Authors: Zhang Hanwen
Published: January 2024

This paper employs a systematic literature review approach to select and summarize 12 papers published within the past five years. It critically assesses the limitations of Modern Portfolio Theory (MPT), including its reliance on the assumptions of a strong, efficient market, rational investor behaviour, and excessive dependence on historical data. Furthermore, the paper explores how emerging theories such as Behavioral Portfolio Theory (BPT) and Behavioral Finance offer remedies for the deficiencies in traditional investment theories. Through a comprehensive review of relevant literature, the study delves into the strengths and applications of these theories and investigates whether they can offer more rational and adaptable investment strategies for investors and decision-makers. The authors assert that the emergence of these emerging theories expands the range of choices and possibilities within the field of finance, potentially assisting investors in better navigating market uncertainties and complexities while enhancing the effectiveness of investment decisions. Consequently, this research underscores the significance of considering emerging theories in portfolio construction to adapt to the ever-changing financial landscape.
Investor Investment Strategy from Discounted Dividend Model Perspective
Authors: Fu Chuhao
Published: January 2024

Stocks, as a security in economic life and widely chosen by investors. The decision-making process of whether to allocate capital to stocks or not necessitates the employment of analytical methodologies, prominently including the assessment. This study employed, the 2-stage Dividend Discount Model, a classic model in stock price evaluations. Mitsubishi Heavy Industries, Ltd. (MHI) was selected as an example, on the basis of fundamental financial data and fundamental market information, the case study will determine the intrinsic value of MHI's shares. The analysis proffers that MHIs stock exhibits an undervaluation, warranting investors to consider a strategic position of acquisition and retention until equity valuations converge or above the intrinsic worth. In addition, the study simultaneously discusses the issues that need to be taken into account when using the model and analyses the problems with the model itself. The research also emphasizes the need to consider these findings alongside other factors, and additional valuation models for more accurate investment decision-making.
Investment Strategy Analysis of The Gambol Pet Group Company Based on the FCFE Model
Authors: Yang Xuan
Published: January 2024

The pet industry has experienced rapid global growth in recent years, with prominence in the Chinese market. Notably, on August 16, 2023, Gambol Pet Group Co., Ltd., one of the leading companies in this sector, successfully debuted on the A-share market, generating substantial interest from the public. This development has positioned Gambol Pet Group Co. as an appealing investment opportunity, prompting extensive discourse among investors. This paper conducts a comprehensive analysis of Gambol Pet Group Co., Ltd. to enhance investor understanding and facilitate informed investment decisions. The research encompasses an evaluation of the company's financial performance, a depiction of its business landscape, and an exploration of both internal and external risks. Employing the Free Cash of Equity method (FEFE), this study endeavors to provide a sound assessment of the intrinsic value of Gambol Pet Group Co., Ltd. The findings of this analysis reveal a generally stable trajectory in the price per share of the company. This outcome suggests that investors may find Gambol Pet Group Co., Ltd. an attractive option for potential investment.