bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison of U.S.-China Futures and Spot Market Price Conduction: Based on the Study of Wheat Market
Authors: Jin Beining
Published: December 2023

In-depth exploration of the difference of price transmission capacity between Chinese and world agricultural futures market is beneficial to understand the efficiency of Chinese futures market. Studying its transmission mechanism can deepen the understanding of the characteristics of wheat market price fluctuations, which is important to further guide the development of China's futures market and ensure China's wheat industry to develop healthily. This paper uses the VAR model and ARMA-GARCHX model to analyze and compare the prices of futures and spot market in China and the United States from the perspective of yield and volatility transmission. The results show that futures and spot market prices of China and the United States have a mutual guiding relationship, and the price guidance role of the United States in both markets is stronger than China. Then, compared with the spot price, the transmission of futures prices is more comprehensive and significant. Considering the results, China needs to deepen the reform of the futures market and implement precise policies to enhance the ability of market price discovery.
Time Series Prediction Based on LSTM Neural Network for Gold Prices
Authors: Yiying Wang
Published: December 2023

Metals like gold have been traded around the world for ages. Gold, the yellow shiny metal, can maintain the stability of the market, disperse the risk of transfer price, and stabilize the national economy. Therefore, the research and prediction of gold prices is not only of great significance to the countries but also of great significance to individuals. However, compared with other financial time series, research on gold prices is still relatively few and lacks models integrated with deep learning. The purpose of this paper is to establish a new model for the time series prediction of gold prices and at the same time to provide new ideas for future financial time series prediction problems. In this paper, a prediction model based on LSTM (long-term memory Neural Network) is proposed by using the time series of large amounts of financial data as experimental data for prediction. The RMSE (root mean square error), which acts as a loss function, is selected to evaluate the accuracy of our prediction model. The model proposed has a good prediction effect on financial time series.
Precision Marketing Strategies and Business Operations Analysis of Sports Business Brands - A Case Study of Lululemon
Authors: Jin Siyan
Published: December 2023

Lululemon is an international sportswear brand founded in Vancouver, Canada, in 1998. The brand was founded by Chip Wilson, who laid the foundation for the brand's creation with his yoga-inspired fashion trend. With a focus on yoga, Lululemon opened its first store in Vancouver in 2000 and went public in 2007. Chip Wilson's marketing efforts played a significant role in the success of Lululemon. This study aims to analyze Lululemon's marketing strategies, focusing on the 'yoga' track to expand high-value potential customers and target the 'She Power/She Community'. The research adopts case study, comparative analysis, and text analysis methods to conduct a detailed investigation of Lululemon's marketing approaches by analyzing relevant literature and marketing cases. Compared to traditional sports brands, Lululemon places greater emphasis on the emotional experience of female users. This study will focus on the rise of 'She Power' and raise awareness of the potential of the Chinese female consumer market, highlighting the importance of 'people'. From brand philosophy to product design and event programs, the emphasis is on the emotional experience of 'people'. This research suggests that other companies can learn from Lululemon's marketing strategies to enhance brand awareness and sales performance through innovative and personalized approaches.
Using the PESTLE Method to Analyze the Relationship Between Sustainable Development and Economic Growth: A Comparison of Chengdu, China and Sheffield, UK
Authors: Chen Yini
Published: December 2023

Sustainable development and economic growth have become increasingly important issues in modern society. Since the concept of sustainable development was proposed, countries have been exploring ways to achieve sustainable development under the premise of good economic development. This article takes two friendly cities, Chengdu in China and Sheffield in the UK, as examples and uses the PESTLE analysis method to comprehensively analyze the relationship between sustainable development and economic growth, and make a comparative analysis of the two cities. Based on this, the study found that economic growth and sustainable development have a mutually reinforcing role. Economic growth is beneficial to the realization of sustainable development, and sustainable development also promotes economic growth. Sustainable development and economic growth can be achieved simultaneously in a number of ways. Therefore, it is suggested that all regions should promote coordinated development of the economy, environment, society, and other aspects to promote high-quality sustainable development in the region.
Understanding Bitcoin: A Case Study Method to Understand Market Dynamics, Strategies, and Risks of Cryptocurrency
Authors: Chen Yangyu
Published: December 2023

This case study provides a comprehensive examination of Bitcoin, a pioneering digital cryptocurrency that has reshaped the global financial landscape. Drawing upon a wealth of research materials and academic studies, this case delves into the origins, technological underpinnings, market behavior, and regulatory considerations of Bitcoin. It also explores the trading strategies employed by investors and traders in the Bitcoin market and the associated risks. This case study delves deep into the evolution of Bitcoin, offering a comprehensive analysis of its market behavior, the forces that drive its price fluctuations, and the diverse strategies adopted by investors and traders alike. This dissertation draws a conclusion that Bitcoin's transformative journey, from its pioneering origins to its current role as a dynamic digital asset, underscores the revolutionary impact of blockchain technology. Its market behavior, diverse trading strategies, and regulatory challenges present a multifaceted landscape. Understanding Bitcoin is pivotal in navigating the evolving world of cryptocurrencies.
Corresponding Solutions to the Problems in China's Derivatives Market
Authors: Li Zhongxin
Published: December 2023

With the increasing uncertainty of the interest rate, exchange rate, inflation rate, and other factors in the financial market, financial institutions need all kinds of financial instruments in order to avoid financial risks, and in this situation, financial derivatives were born. With the progress of society and economic development, the financial derivatives market continues to expand in China. However, opportunities always coexist with crises, and there are still some problems in China's derivatives market. This paper studies the problems existing in Chinas derivatives market and puts forward corresponding solutions. It is found that problems such as an ineffective mechanism for supervision, insufficient innovation, immature investors, single market tools, and ineffective market functions still exist in Chinas financial derivatives market. To address these issues, China should improve the legal system, enhance transaction transparency, strengthen supervision and management, enrich the types of financial derivatives, cultivate qualified institutional investors, and reduce restrictions on overseas business.
Empirical Research on Optimizing Company Investment Strategy Based on Asset Portfolio Strategy -Taking the Pharmaceutical Industry as an Example
Authors: Zhao Jiayi
Published: December 2023

In recent years, the pharmaceutical industry has developed rapidly due to the COVID-19. At the same time, with the development of modern asset theory, a variety of asset portfolio strategies can be used by people. In the capital market, the pharmaceutical industry has also become an emerging ideal investment industry, and various related investment portfolio products and trading methods are constantly being updated and improved. This article is based on modern asset portfolio strategies, through relevant worldwide asset allocation models, sharpe theory and CPAM model, and uses the optimal selection of asset portfolios and market portfolios in Markowitz asset portfolio theory to conduct empirical research on the current stock investment portfolio products in the pharmaceutical industry. To test, use Python and Excel to process and analyze two years of stock data and group assets into groups to test the combination to verify the effectiveness of the model for fund investment portfolios in the pharmaceutical industry and better optimize the asset allocation, thereby effectively avoiding risks and increasing returns.
The Relationship Between Education Level and Wages: Based on Regression Model Analysis
Authors: Zhou Hao
Published: December 2023

This paper focused on finding how a higher level of education affects peoples wages in China. Based on a popular social phenomenon that citizens in China are more likely to graduate from college, this study was focused on seeking the relationship between higher levels of education and wages. With the assumption that one of the elements that gives people the incentive to receive a higher level of education. This study used the data set from the China Family Panel Studies (CFPS) in the 2020 individual survey. This research uses different approaches to conduct the variables that could affect wages and uses the multiple linear regression model to estimate the effect. The result indicates that the higher education degree people achieved in China should have a strong positive coefficient on their future wages. And the subgroup of their future confidence and their authority in the working field also demonstrate a positive relationship with wages.
The Economic and Social Impact of Domestic Migration on China's First-tier Cities: A Case Study of Beijing
Authors: Li Meiyao
Published: December 2023

As China's political, economic, and cultural epicenter, Beijing has naturally evolved into the primary destination for a considerable influx of people. This migration trend primarily includes the substantial growth of the economic floating population, which has had a profound and multifaceted impact on Beijing's economy and society. This paper undertakes a comprehensive examination of the effects brought about by the expanding floating population, taking into account both micro and macro perspectives. At the macro level, the rapid growth of the floating population has posed various challenges and opportunities for Beijing's economy. On the one hand, this influx of labor force has fueled the city's economic growth, particularly in industries like construction and services. On the other hand, it has placed significant strains on public services, housing, and transportation infrastructure, requiring extensive adjustments and investments from the government. From a micro perspective, this paper delves into the daily lives of the floating population. It explores how their migration experience shapes their employment patterns, social integration, and access to healthcare and education. By analyzing these individual-level dynamics, we gain insight into the broader implications for urban planning, social services, and policies aimed at promoting inclusive growth in Beijing. This research aims to provide a comprehensive understanding of the multifaceted influence of the floating population's growth on Beijing. Through this analysis, we can better appreciate the complex interplay between economic development, social integration, and urban planning in one of China's most dynamic and cosmopolitan cities.
Analysis of Business Strategies for the Development of New Energy Industry: A Case Study of BYD Auto Company
Authors: Wang Zihan
Published: December 2023

Nowadays, global environmental problems have become increasingly serious, in order to deal with climate and environmental problems, China has proposed a dual carbon policy, and actively encouraged the development of a new energy industry, optimizing the energy structure and some methods. This paper adopts the case analysis method, takes the new energy enterprise BYD as an example, studies the development status of new energy enterprises, points out the existing problems, and puts forward relevant countermeasures. This studys discoveries can be summed up into two experiences. The premier test, first and foremost, obstructing BYDs undertaking progress lies in the decreasing benefit of mechanical advancement, dissolving its upper hand. To resolve this issue, it is basic that new energy undertakings focus on development as a foundation of their development technique.Besides, the improvement of these organizations ought to put an uplifted spotlight on developing areas of strength for a culture, putting resources into the ceaseless advancement of their labor force, and upgrading the general information level inside their groups. In addition, the absence of strong foundation supporting the development of new energy ventures. To balance this, it is fundamental for legislatures to expand their help for these ventures, guaranteeing they have the important assets and climate to flourish. By addressing these provokes and offering direction to arising new energy firms, this exploration not just adds to hoisting the business general norms yet additionally holds the possibility to have a huge effect on worldwide natural and biological issues.
The Current Situation of the Environment and Natural Resources and Blueprint of Green Economy
Authors: Jia Yanbo
Published: December 2023

This paper aims to introduce different environment problems and the method to solve and improve the current situation. There are definitions of green economy, physical water scarcity and economic water scarcity, green building, green bond etc. And comprehensive explanations of what and how to solve the serious natural damages and energy scarcities based on data. Beside of repairing the environment, other means for improvement of green economy system like giving government inventions and popularizing green bond market are also worse to be highly concerned. The energy and resources problems have always been underestimated, especially water resources. Thus, to arise peoples attention of this issue and acquaint the seriousness of it is another vital goal. This paper mentioned various fields of data, including map of water scarcity distribution, proportion of water usage in different aspects, data of damage caused by human economic activities, statistical data of Chinese new energy vehicle sale and the comprehensive green bond dataset from 2006 to 2020.
Challenges and Countermeasures of Artificial Intelligence Technology in the Application of Financial Industry
Authors: Zhou Xinyi
Published: December 2023

In recent years, the rapid growth of Artificial Intelligence has become a household name and has developed its use in various fields. Today's AI is permeating all aspects of the financial sector and has become a force for change. This paper summarizes the history of artificial intelligence and delves into the current state of its integration into the financial sector. The capabilities of AI herald a new era of financial innovation but also pose a number of risks and challenges. This paper combines case studies and literature to focus on the data risks faced by AI in finance, the complexity of "black box" algorithms, financial and legal regulatory challenges, and data privacy and ethical issues. As financial institutions increasingly rely on AI-powered solutions, understanding these potential risks becomes critical. This paper concludes with some countermeasures and recommendations to address the potential risks. By deploying AI through collaborative efforts, rigorous oversight, and on high-quality data, the financial community can capitalize on the power of AI to allow fintech to lead the transformation of the industry.
Zooming in and out of Apple Inc.: An Organizational Behavior Analysis of Individual and Team Levels
Authors: Shu Shengqi
Published: December 2023

Apple Inc. is widely recognized as a prominent global corporation. This study undertakes a comprehensive investigation of Apple Inc., including the leadership of CEO Tim Cook, the internal dynamics of the design team, and many organizational and external influences. By employing analytical frameworks such as Industry Analysis and PESTEL, this study examines the competitive advantage of Apple Inc. and identifies potential areas for enhancement. The findings indicate that Apple's dedication to innovation and ethical conduct has resulted in the establishment of a robust brand and a devoted consumer following. However, in order to remain competitive in a rapidly evolving technological environment, Apple Inc. must persistently adjust its strategies. Additionally, it is imperative for Apple to acknowledge and rectify concerns regarding labor and environmental practices that have been raised by critics. The objective of this study is to provide a comprehensive comprehension of the factors that establish Apple Inc. as a prominent player in the worldwide market.
Advertising Strategies in the New Media Environment: A Case Study on Durex
Authors: Zhao Yingle
Published: December 2023

In the world of advertising, there's a contentious debate over the portrayal of gender and privacy products. Amidst concerns of crossing societal boundaries, the industry faces the challenge of crafting ads that are both compelling and socially respectful. This paper focuses on the case of Durex, a leading gender brand, and explores its advertising strategy, particularly through new media channels. Based on the state of new media, Durex's advertising strategy is notable for its clear brand positioning. Its social media accounts predominantly showcase advertising posters and videos of its products, employing the Feature-Advantages-Benefits-Evidence (FABE) marketing strategy. This approach efficiently informs consumers about the brand's offerings, succinctly conveying product information and successfully eliciting purchase intentions. It is worth noting that the brand also contains a large number of content related to sex education, aiming to promote healthy sexual concepts and sex education, to a certain extent to fill the fundamental problem of low sales of sexual intimate products due to the lack of sex education.
Reaching the Consumers: Pampers Integrated Marketing Communication Strategies
Authors: Wang Yiming
Published: December 2023

With the continuous enhancement of the standard of living, customers are more and more selective in baby care products. To stand out from other brands and maintain long-term connections with consumers, many companies have taken advantage of various marketing tools. This paper mainly focuses on the brand Pampers and the integrated marketing communication tools used by it. The goal is to analyze and evaluate IMCs effectiveness in helping Pampers achieve a close relationship with its customers. This paper employs thematic analysis to study the cases of Pampers marketing campaigns in three dimensions: digital content marketing, cause marketing, and event marketing. The qualitative data mainly comes from research journal articles from diverse databases including Google Scholar and ProQuest One Business. The result of this paper shows that as a consequence of integrating the three main marketing strategies IMC can efficiently build tight connections between brands and customers through increasing interactive engagement, appealing emotional resonance, and delivering shared values.
Anchoring Effect and Influence of Knowledge on Consumers Willingness to Pay for Organic Food Online: An Online Experiment on Chinese Consumers of Organic Food
Authors: Lu Jiayu
Published: December 2023

This study investigates how the anchoring effect affects peoples willingness to pay for organic food in an online purchasing environment.The aim of this study is to find out whether anchoring has an impact and how it affects peoples value perception of online organic food and, thus, their trust in and willingness to pay for organic food. Moreover, this study also aims to find out how knowledge of external reference prices of the same type of organic food provided by other online sellers moderates peoples willingness to pay when given a price anchor. This study uses an online survey to perform the experiment and uses quantitative analysis methods to validate the results. The study finds that anchoring does have an impact on peoples willingness to pay for organic food online, even when people face an exaggerated price provided by the online seller. Moreover, knowledge of external prices moderates peoples willingness to pay. People tend to adjust their willingness to pay towards the average level of external prices.
Regional Heterogeneity Analysis of ESG and Corporate Value
Authors: Chen Ziyu , Lai Yulu , Zhou Yangdi
Published: December 2023

Environment, social and governance ratings (ESG) has now become an important indicator for assessing corporate value. However, due to the varying degrees of economic growth, environmental protection policies, and sociocultural climates in various Chinese locations, there are significant regional differences in the correlation between ESG data and corporate value. This paper conducts a regression analysis of corporate value and ESG data from the three pillars of environment, society and governance to verify that ESG advantages significantly enhance corporate value. This paper also looks at the heterogeneous characteristics of the regional distribution of Chinese firms, the degree of marketization, and the relationship between firms and the government to show the mechanism by which regional differentiation affects the ESG score-Firm value correlation. A corporate valuation logic based on ESG scores is also established. Finally, the conclusions of this study have significant policy ramifications for the current stage of enterprise development. For enterprises, they need to continuously improve the level of ESG management and formulate management measures in line with the current situation of enterprises according to the heterogeneous differences that exist in the region, so as to improve the ability to cope with the enterprise crisis.
Research and Analysis of Chi Forest Marketing Strategy
Authors: Wang Xiaoyi
Published: December 2023

Based on the PEST analysis of the beverage market from the four aspects of policy, economy, society and technology, this paper introduces the tendency of today's society to healthy lives. At the same time, the advantages and disadvantages of Chi Forest were analyzed by using SWOT analysis, and it was believed that Chi Forest had great advantages in word of mouth and catered to people's demand for healthy 0-calorie drinks, but due to the low threshold of technical access, too many competitors flooded into the beverage market. Also uses SWOT to analyse Chi Forest's competitors to find the current deficiencies of Chi Forest and the areas that can be improved. And puts forward suggestions on how to continue to expand its market share in the beverage market according to the strengths and weaknesses of Chi Forest: Strengthen the brand health concept; Launch large bottled products to tap deeper into the sinking market and expand the consumer base.
Allowance-based Carbon Options Pricing Strategy and Asset Management Research Progress
Authors: Wu Yuxuan
Published: December 2023

Under the issue of global warming and environmental protection, low-carbon development has become an unshakable responsibility for governments worldwide. In China, the national carbon emission trading market established in 2021, which promotes the economic development of carbon derivatives. In order to facilitate the trading system, carbon options pricing theory has become a centerpiece of academic attention. This paper reviews the study progress in detail in the area of allowance-based carbon options pricing strategy carbon internationally, and makes an analysis of the application and management in international carbon markets. The mainstream pricing models include the Black-Scholes and the Monte Carlo option pricing models. On this basis, the carbon option prices estimated using the GARCH model and fractal Brownian motion have a higher degree of fitted value. In addition, this paper analyzes the application and management of carbon options in the carbon market. The carbon option helps reduce the carbon trading risk and the spendings on emission reduction for enterprises. This research intends to give a reference for the subsequent theoretical exploration of carbon options and promote the growth of the derivatives market.
Evolution of Digital Currency and Its Economic and Financial Implications in China
Authors: Jinxuan Wu
Published: December 2023

This paper conducts a comprehensive examination of the multifaceted impact of digital currencies within the context of China, encompassing economic, financial, and business dimensions. It provides an in-depth exploration of the evolutionary path of Chinas digital currencies through literature review, with a special focus on the development of central bank digital currencies (CBDC). From an economic standpoint, the analysis uncovers several noteworthy aspects, including the potential for cost savings, an expansion of the monetary base, and enhanced ease of financing. On the financial front, digital currencies exhibit the capacity to reduce operational expenses and mitigate fraud risks. However, they simultaneously intensify competition among commercial banks, impacting their profitability and operational autonomy. Moreover, the study scrutinizes the adoption of digital currencies within advanced regions, spotlighting noteworthy innovations in Hangzhou, such as the digital RMB payment ecosystem and the use of digital codes for metro rides. Conclusively, the paper advocates for reinforced international collaboration to bolster credit services and adapt to the ever-evolving technological and regulatory landscape.
Analysis of the Brand Marketing Strategy of Luckin Coffee
Authors: Wang Chongrui
Published: December 2023

Luckin Coffee is attempting to infiltrate every aspect of daily life through products and services, passing the concept of a better life and inspiring eager expectations for a better life. This is done with the vision of Create a world-class coffee brand, let Luckin become a part of Peoples Daily life and around the core values of truth and pragmatism, quality first, continuous innovation, only me, mutual trust and win-win. Luckin Coffee is through products and services, efforts to penetrate every daily life, pass the concept of a better life, and inspire expectations for a better life. Luckin Coffee is based on the sale strategy of cheap and high quality coffee and the business strategy of a new retail model that still has great reference significance for other fast-selling beverage brands. This paper analyzes the Luckin Coffee brand through the SWOT analysis, and explores its advantages, disadvantages, opportunities and threats. It is analyzed that the main advantages of Luckin Coffee lie in its excellent innovation ability and attractive price, but it also faces the threat of other emerging tea companies and the crowding out of Starbucks. Finally, it comes up with some strategic plans to improve product competitiveness, such as focusing on quality and optimizing service. The main intention of this paper is to conduct comprehensive and multi-level research on Luckin Coffee, so as to provide a reference for other similar brands, and make Luckin Coffee learn from each other for a better development prospect.
Analyzing the Relationship Between Family Net Income and Socio-Demographic Factors by Using a Multiple Linear Regression Analysis
Authors: Sun Meng
Published: December 2023

The current study conducted a thorough analysis of the complex connection between net family income and various crucial socio-demographic factors, such as educational achievement, age, self-esteem, insurance coverage, and the presence of dependents in households. The primary aim of this investigation was to identify the key factors that demonstrate a favorable and statistically significant correlation with net family income. The ability to make wise decisions is of utmost importance as it can help government officials create policies, stimulate economic growth, and improve the quality of life for people and families. Previous research has largely focused on determining the primary elements that affect individual net income, with a noticeable lack of in-depth studies into the area of family net income. As a result, the research seeks to fill this gap by examining if these recognized connections also apply to the realm of family net income. The study utilized meticulous multiple linear regression analysis as its analytical framework, adopting data from the nationally representative Longitudinal Survey of Youth. The study's results highlighted the strong positive associations between education, insurance status, and the number of dependents with net family income, while not taking into account any other factors that were studied.
Digital Transformation of Enterprises in the Mode of IoT - A Case Study of Haier
Authors: Liu Shujun
Published: December 2023

With the advent of the Internet of Things era, China, as the largest manufacturing country, should actively carry out digital transformation to enhance the independent innovation ability, improve industrial structure, and optimize the quality and level of the existing manufacturing industry in order to enhance the brand competitiveness of manufacturing enterprises. This paper will provide a reference for other companies by examining the digital transformation path of Haier, the leader of Chinese home appliances, under the IoT model. This paper uses the case study method to analyze Haier's own business situation in recent years vertically by studying its digital transformation in terms of products and finances, and horizontally by comparing Haier's business situation with that of companies in the same industry. The study has found that changing business strategies based on the needs of the IoT era, constantly adjusting and optimizing internal structures and management models of enterprises, can help carry out digital transformation of enterprises in today's era.
Research on Optimizing Pension Planning Allocations
Authors: Zhou Jinglei
Published: December 2023

This article examines two ways of pension allocation, choosing the best opportunity mix based on Fama and the French three-factor model to maximize returns while satisfying each portfolio category and other investment conditions. The database used by the author is based on the excess returns of 8 different stocks from October 2018 to January 2022. This article studies the relationship between different stocks by calculating the variance, standard deviation and covariance of different stocks, and divides stocks into large-cap stocks, small-cap stocks, value stocks, and growth stocks. The author calculated the optimal Sharpe ratio. Empirical results show that the sharpe ratio value obtained from the investment portfolio can be concluded that when people live for more than 20 years after retirement, they can choose to receive pensions every year. If your life expectancy after retirement cannot reach 20 years, it is recommended to withdraw your pension in one lump sum. However, this article shows that results change when using different portfolio approaches because of data limitations.
Investigating the Impact of New Energy Policy on the Market for New Energy Vehicles
Authors: Gao Zhenyu , Hu Yuke , Tang Shiyu
Published: December 2023

As global concerns about environmental sustainability continue to rise, electric vehicles (EVs) are gradually becoming a significant component of the global automotive market as a clean and low-carbon transportation option. This study, through a review of relevant literature and an analysis of market data, examines the influence of new energy policies on the international market for electric vehicles. The research findings indicate that the market share of electric vehicles has steadily increased over the past few years. Government environmental policies and incentive measures have played a crucial role in promoting electric vehicles. Furthermore, ongoing technological advancements and cost reductions have also contributed to the widespread adoption of electric vehicles. However, electric vehicles face certain challenges, such as inadequate charging infrastructure and limitations in battery technology. In the future, with further technological developments and policy support, electric vehicles are poised to play a more significant role in the international market and contribute to global sustainability efforts.
Influence Factor Analysis and Forecast of US House Prices Based on Linear Regression and Time Series
Authors: He Qihang
Published: December 2023

In the United States, house prices remain a perennial topic of interest for every resident. Beyond influencing individual housing choices, fluctuations in house prices play a pivotal role in shaping pleasant lifestyles and ensuring the nation's stable economic growth. The housing market, in fact, underpins the entire U.S. economic system. This study employed a multifaceted approach, utilizing both multiple linear regression models and time series analysis, to delve deeply into the factors influencing U.S. house prices. The research identified that residential construction spending and GDP are the most significant drivers leading to an increase in the American House Price Index (HPI). Additionally, through time series analysis, various graphical representations were constructed to visualize the quarterly trends in the American HPI, rendering the findings more comprehensible. In essence, this research offers a scientific foundation for future adjustments in housing price policies. It holds substantial relevance for all stakeholders in the real estate market, from buyers and sellers to developers and policymakers.
Construction and Analysis of Small-Cap Hedge Funds Based on Relative Value Hedging Strategies
Authors: Liu Jianheng
Published: December 2023

In the realm of hedge fund construction, the relative value hedging strategy stands as a prominent method, distinguished by its robust quantification. Its chief advantage lies in its resilience against the general fluctuations of the market. This study aims to demonstrate the efficacy of the relative value hedging strategy by constructing a short-term hedge fund based on this approach. Focusing on companies closely tied to the artificial intelligence industry, namely NVDA, GOOGL, MSFT, and TSLA, the fund designs its investment portfolio. A meticulous comparison of their price-to-earnings ratios with the industry's overall price-to-earnings ratio leads to a long position in GOOGL and MSFT, while NVDA and TSLA are shorted. With a starting budget of $100,000, the fund employs a risk parity strategy to formulate its investment portfolio. In a bid to solidify the positive impact of the relative value hedging strategy on fund design, this paper conducted a backtest in 2019 using Stata. When juxtaposed with the S&P 500 index, the results reveal a marked improvement in key indicators such as return rate, income, and success rate. This empirical evidence underscores the capacity of the relative value hedging strategy to enhance profitability and risk management. It also underscores the potential of this strategy for small investors, affirming its feasibility and value.
Machine Learning in Finance: A Case Study on Forecasting Google's Stock Price
Authors: Kong Tianyi
Published: December 2023

Stock price prediction remains an attractive and essential area in financial markets, with researchers constantly working hard to improve existing models or develop new ones to achieve more accurate predictions. Foreseeing the future direction of stock prices allowing people to plan and formulate effective investment strategies. However, predicting stock prices remains a difficult challenge due to many uncontrollable factors. Traditional forecasting methods rely primarily on economic data analysis and formulation. However, these traditional methods often provide limited information and forecast accuracy due to market uncertainty. Many business organizations and individual investors started to utilize the programmed approaches to improve the accuracy of stock price predictions as machine learning and deep learning capabilities continue to advance. Through an actual case study, this essay examines the innovative use of machine learning methods for researching in the field of predicting stock prices. In the case study, an LSTM model is built to find the transforming trend of the stock price, while Googles stock price is collected to use as the dataset for training the model. The article finally conducts a comparative study on stock price prediction based on LSTM is conducted to clarify its working progress and accuracy of the outcome.
A Study on the Motivation and Path of Digital Transformation in Pudong Development Bank
Authors: Chai Yirou
Published: December 2023

As technology continues to advance and society progresses, the market demand for digital transformation in the banking sector has been growing steadily. This article initiates an internal interview on the digital transformation project of Shanghai Pudong Development Bank (SPDB), and based on this, analyses the specific details and benefits of the project, and puts forward corresponding suggestions for SPDB to smoothly promote the digital transformation project. Through horizontal comparison, the analysis shows that digital transformation projects will bring significant economic and social benefits to SPDB, reducing cost expenditures. Overall, to effectively accomplish digital transformation, it is essential for researchers from diverse fields to collaborate and establish strong connections between various themes and disciplines. This interdisciplinary approach acknowledges the interdependence of business models and underscores the need for concerted efforts in integrating different areas of expertise.
Logistics Level and Debt Pressure: Empirical Analysis Based on Regional Panel Data
Authors: Cheng Lihang
Published: December 2023

After the supply chain has gradually become a popular concept for research and attention, its corelogistics system and the debt of enter-prises therein have also been the subject of continuous discussion in the industry and academia. This study centers on the level of logistics in the supply chain and the debt pressure of industrial and commercial enterprises, analyzes the relationship between the two from the supply chain perspective, adopts the literature review method to put forward theoretical hypotheses, and constructs an econometric model and a system of related variables, and uses inter provincial panel data to carry out empirical demonstration of fixed-effects regression analysis. The results found that the logistics level alleviates the pressure of industrial and commercial liabilities, further analyzes the internal mech-anism from the perspective of debt generation and debt realization in each logistics link, and puts forward corresponding measures, which contributes new perspectives to the study of supply chain finance and explains the connection between the two key elements.
Risk Analysis and Supply Chain Management for Companies Short-Life-Cycle Products
Authors: Li Yuanhao
Published: December 2023

When the supply chain operates in an uncertain environment, especially for fashion products with fast changing trends and short life cycles, matching supply and demand is the main task. This requires enterprises to have the ability to analyze risks and manage the supply chain. This paper is mainly about a case analysis of Sport Obermeyer who is confronting two core issues, Greater products variety and more intense competition have made accurate predictions increasingly difficult and How to allocate production between two suppliers. The key tool to solve these two problems is the Newsvendor Model. Following the principles of the model, the article first calculates the expected quantity and profits of each product. Afterwards, based on the comparison of the mismatch cost of each product, the article provides a preliminary decision. After analyzing the advantages and disadvantages of the suppliers, the article obtains the final result. This process demonstrates some ways on risk analysis and supply chain management and provides some new perspectives for the development of the enterprise and related research in the future.
Investigate the Impact of Supply Chain Sustainability Transformation on Enterprises: Case Study of IKEA
Authors: Li Yu
Published: December 2023

In the current international business climate, supply chain sustainable development is a prominent topic. On the other hand, the conventional supply chain model fails to keep up with the shifting demands of the market and causes serious environmental and social issues. The purpose of this research is to examine the theoretical underpinnings of supply chain sustainable development, to examine its various facets, and to incorporate real-world examples. This paper introduces the context and significance of supply chain sustainability and its three main goals: environmental preservation, social responsibility, and economic gain. Second, it emphasizes the significance of important techniques such as good sustainability strategy, green supplier assessment, and community participation through in-depth research of the best practices of leading businesses in sustainable supply chain management. The report highlights the potential advantages of a sustainable supply chain, including decreased operational risk, enhanced competitiveness, and long-term economic growth. To address global concerns and create a more sustainable future, this paper urges businesses and governments to engage in supply chain sustainability actively.
ESG Integration in Chinas Sustainable Supply Chain: Feasibility, Impact, and Optimization Strategies
Authors: Chang Hanyi
Published: December 2023

Although more and more companies and investors are beginning to recognize the importance of ESG, its promotion and practice still need to be improved. China's ESG development is still in its infancy compared to ESG applications worldwide. Some leading businesses have already been actively using ESG to enhance the sustainability of their supply chains. This article examines the proactiveness and feasibility of companies adopting ESG development and how to improve their supply chains. The research employs methods such as data regression analysis and correlation analysis, and it also investigates the case of JD.com. The study reveals that while the ESG concept may seem contradictory to a company's short-term business goals or performance, it exhibits a certain degree of positive correlation and can even bring about favorable impacts in both the short and long term. JD.com's ESG application strategy in the supply chain context holds practical significance and scalability, potentially serving as a template for ESG supply chain development in future Chinese companies.
The Impact of Inflation and Unemployment as Endogenous Variables on Economic Growth in China (2017---2023)
Authors: Wang Yida
Published: December 2023

Inflation and unemployment be investigated and determined by this article, through the performance of the Chinese economy over a specific time period, and the association between inflation and unemployment and real gross domestic products(GDP) also be discussed on this article.Granger test technique was employed and various diagnostic tests were conducted to determine the extent to which the data matches the analysis. For example, Whether the time series is smooth (ADF test), time leg, coordination test.Between 2017 and 2022, there will be a significant and positive association in China between the rates of job losses and inflation. There is just a modest negative link between the rate of hyperinflation and the expansion of the economy. The correlation between the rate of joblessness and growth in the economy is both negative and robust. This study was analyzed only covers the period of the years 2017 to 2022.This study is unique because of the regression analysis's conclusions and how the data were interpreted. In the research's conclusion, all relationships between price rises, joblessness, and economic expansion are discussed.
Development Trend and Challenge of Transition Economy in Eastern Europe: A Perspective of Romaniar
Authors: Sicong Li
Published: December 2023

In the midst of the significant shifts that defined Eastern Europe's evolution from communism to democracy and a market-based economy, Romania was at the center of this transformational time. The paper presents a thorough examination of Romania's amazing journey, highlighting the difficulties it encountered. This empirical investigation digs into the complex problems that occurred over the transition in order to find suitable solutions that would have helped Romania carry out the transition effectively. To identify the elements that led to these issues, the report makes use of empirical research and comprehensive analysis. The coping mechanisms that Romania ought to have used are at the heart of the situation in this context. This study provides useful insights that go beyond the boundaries of Romania by analyzing approaches and evaluating their efficacy, acting as a case study with broader consequences. It takes both a great sense of flexible methods and a profound awareness of the obstacles of navigating the complicated terrain of an economy in transition. This essay aims to clarify the complexities of Romania's transition by offering a detailed viewpoint on how the country ought to have changed as it transitioned from a planned to a market-driven economy.
Analysis of the Commercial Value of China's Intangible Cultural Heritage Guangcai - A Study Based on SWOT Analysis
Authors: Zheng Ziling
Published: December 2023

The contemporary Chinese intangible cultural heritage industry, represented by Guangcai, has garnered considerable attention due to its distinctive aesthetic qualities and rich historical heritage. However, a comprehensive exploration of its commercial value remains a research gap. This study aims to address this gap by employing the SWOT analysis framework to comprehensively analyze the strengths, weaknesses, opportunities, and threats of Guangcai. Through an in-depth analysis, targeted recommendations have been formulated to facilitate the sustainable development of the Guangcai industry. The research findings highlight Guangcai's aesthetic advantages and geographical trade advantages in the international market, alongside challenges such as a shrinking labor market and limited visibility. Moreover, Guangcai faces opportunities arising from the increasing societal demand and the digitalization of the internet, as well as threats associated with the continuous substitution of foreign art and shifts in the international landscape. This study offers strategic and practical insights, providing valuable applications for the government, businesses, and practitioners, propelling the commercial development and cultural preservation of China's traditional intangible heritage industry.