bluuebunny/crossref_metadata_2025 huggingface dataset:
Prediction of the Standard and Poors 500 Index Based on ARIMA Model
Authors: Wang Yichen
Published: December 2024

The recent rapid development of science and technology and the changeable international situations are intensifying the uncertainty in future economic situations. Economic trends in markets such as real estate markets and stock markets become increasingly unpredictable. To gain an insight into the future, this essay makes a prediction on the Standard and Poor s 500 index by applying the ARIMA model, a model commonly used by scientists to analyze time series. Data at the ends of each year from 1957 to 2023 were collected and processed by second-order differentiation, in order to establish the model. Considering different possible p, d, and q values, the most suitable model was selected thorough comparison of criteria indexes AIC, BIC, and RMSE. The essay makes a 12-year prediction, which shows that the index will continue to increase with fluctuations. However, the model still has limitations in predicting the influence of random future events, which calls for further improvement and adjustment based on real-world situations.
Research on Exposure Rate and Brand Image Building Strategies of Sponsors in F1 Racing Events
Authors: Deng Jinming , Yang Rongjun
Published: December 2024

As the competition among the teams in the F1 paddock becomes increasingly fierce, the competition between sponsors is also becoming more intense. If sponsors want to stand out from the crowd of sponsors, they need to formulate reasonable sponsorship strategies and use appropriate channels to increase brand exposure and visibility. So this article explores how sponsors can increase brand exposure and visibility to promote sales under the trend of increasingly fierce competition in thepaddock? This article aims to comprehensively analyze the core concept of sports sponsorship, elaborate on its diverse types and implementation methods, and focus on the sponsorship practices in F1 racing, and deeply interpret the operating mechanism of this field through rich cases. After in-depth analysis, this article believes that the specific exposure measures of sponsors in sponsoring F1 events include on-site advertising, media cooperation, the use of social platforms, the establishment of user communities, and the adoption of emerging technologies. When discussing sponsorship strategies, this article failed to fully start from the strategic perspective of the sponsoring company itself, and deeply analyze the key links such as its motivation, goal setting, budget allocation, and effect evaluation in choosing to sponsor F1 events. This has limited readers' understanding of the business logic behind sponsorship behavior to a certain extent.
Research on Influencing Factors that may Lead to Diabetes
Authors: Duan Yan
Published: December 2024

For a long time, the related factors that may lead to diabetes have been a topic worth studying. Previous studies have shown that diabetes may be associated with obesity or pregnancy, but there are some unknown factors that have not been studied. In this paper, a binary logistic regression model will be used to analyze a diabetes dataset to study 8 possible factors that may lead to diabetes. The dataset consists of 768 samples, and contains the data of glucose, blood pressure, pregnancy, body mass index (BMI), Diabetes Pedigree function, skin thickness, insulin, and age these 8 influencing factors. They concluded that diabetes may be related to factors such as blood pressure, pregnancies, glucose, body mass index (BMI), and Diabetes Pedigree function, some of these factors may not have received much attention before. This literature provides a new direction for studying the causes of diabetes, and educating people about the dangers of diabetes and how to prevent it.
Analysis of Productivity Growth and Its Determinants in India
Authors: Du Jiachen
Published: December 2024

For the past decades, India witnessed a great development in economy and its GDP grew significantly. The key factor behind this is the productivity growth. This paper analyzes Indias productivity growth concerning its two determinants, capital accumulation and technical progress. This paper first analyzes the capital accumulation in India and finds that more plants and machinery have accumulated rapidly in India mainly due to the implementation of strict labor regulations and the deepening of the Indian financial market. Besides, the paper also discovers that Indias human capital accumulated through investments in education and healthcare. Regarding technical progress, this paper shows that India adopts new technologies from other countries to enhance production efficiency during this period, and that the government of India has also enacted new policies and set up research parks to encourage Indian firms and businesses to improve technologies through its Research and Development(R&D) process. Then, this paper investigates challenges faced by India for future development. The benefits of productivity growth from its initial capital accumulation diminish over time, and Indias human capital development is relatively slow compared to other developing countries such as Sri Lanka because of insufficient and inconsistent government support. Taking into account the development experience of other countries, this paper suggests that India needs to transform to more advanced technologies to sustain further growth, and that Indias government needs to be aware of the importance of public expenditure and expand its spending on human development sectors such as education and healthcare.
The Role of Central Banks in Stabilizing the Economy
Authors: Li Mingyang
Published: December 2024

This research paper aims to analyze and declare the indispensable function of central banks in formulating economic policy as well as the execution of their monetary policy and banking regulations. As these central banks manage a nation's currency, money supply, and interest rates, they usually use tools such as interest rate stabilization, quantitative easing, drag, and forward guidance strategies to stabilize the economy. In the wake of the 2008 financial crisis and the COVID-19 pandemic, central banks such as the Federal Reserve and the European Central Bank sought to avert a complete financial collapse and also to foster recovery. Lastly, the paper also affirms the role of central banks as the regulators in the financial sector as well as their activities as lenders of last resort. The case studies from the US, Europe, Japan, and China show how central banks fight crises by working through both conventional and unconventional tools. Conversely, inflation control, wealth inequality, political pressures, and the introduction of digital currencies are set to be dangerous hindrances for elections in future years. This article concludes by underlining how central banks' persuasiveness in establishing economic strength is critical to success in an environment of an ever-changing global financial system.
Research on Supply Chain Risk Management in E-commerce Industry
Authors: Lu Yuhe
Published: December 2024

In the era of Internet information, e-commerce has largely replaced offline procurement and has become the primary choice for people to purchase daily items. In this context, the formation of risk problems and risk mechanisms existing in the supply chain has become the primary problem that needs to be solved in this field. By examining the development status of China's e-commerce industry, this paper emphasizes the risk identification and formation mechanism of the e-commerce supply chain as well as prevention and control strategies, and by comparing the contents of previous studies, a set of updated and relatively complete supply chain risk assessment standards are obtained. A comprehensive analysis has revealed that the current supply chain risk analysis framework has not adequately adapted to changing market dynamics. Therefore, it will be fully combined with the contemporary market situation and supply chain steps, continuously optimized and summarized, aiming at using more perfect risk assessment standards to reduce the risk loss and profit loss of e-commerce, so as to make it more accurate. In addition, the study's conclusions highlight the business implications of logistics and product supply in the e-commerce industry, as well as the importance of identifying supply chain risks in e-commerce.
Assessing the Social Impacts of Urban Village Renewal on Inequality: A Case Study of Shenzhen
Authors: Xiong Yuheng
Published: December 2024

China's rapid urbanization has led to an increase in the number of urban villages, which have become an important but problematic part of cities. While these areas provide affordable housing for low-income people, they are often characterized by inadequate infrastructure, overcrowding, and inadequate social services. The significance of this study lies in its focus on the social impacts of urban village renewal, especially the impact of these projects on inequality. This study adopts a mixed method approach, including qualitative case studies, quantitative analysis, and policy analysis, with Shenzhen as the main case study. The study shows that while urban village reconstruction projects have brought potential benefits such as improved infrastructure and improved living standards, they have also caused problems such as displacement and increased living costs, thereby exacerbating social inequality. The conclusions drawn from this study emphasize the need for more equitable and inclusive urban village renewal policies. This study recommends policies and interventions that prioritize the needs of local marginalized groups to ensure that the benefits of urban village reconstruction are more widely shared. Moreover, the improvement of current policies is required. This study discusses the problems of urban village renewal and provides solutions for the formulation of more balanced and equitable urban development policies in the future.
Analysis of the Financial Performance of CNOOC under the Perspective of ESG
Authors: Wu Lanjun
Published: December 2024

Since the late 20th century, climate change and related environmental problems have become increasingly prominent. As the worlds second-largest economy, China has actively taken on social responsibilities. In the 14th Five-Year Plan, China proposed the dual carbon goals. As the main entities of social production, it is particularly important for enterprises to take their environmental and social responsibilities as well as improve governance levels, which often affect the business outcomes of enterprises. This paper studies the financial performance of petroleum from the perspective of Environment, Social and Governance (ESG). Based on the analysis of literature and public data, a case study of China National Offshore Oil Corporation (CNOOC) is conducted. The purpose is to examine the applicability in practical situations of conclusions drawn by existing empirical research regarding the relationship between ESG and enterprise financial performance. The paper finds that CNOOC has effectively enhanced its financial performance and operational capabilities through proactive actions in environmental protection, social responsibility, and corporate governance. Although the ESG practices with such a high-standard may limit the companys growth potential in the short term, by improving transparency and demonstrating enterprises social responsibility, ESG practices indirectly promote the enterprises financial performance, including the improvement of management efficiency, boost in investor confidence, expansion of financing channels, and enhancement in consumer trust, thereby enhancing the enterprises profitability and reinvestment capabilities.
Implementation of Big Data Techniques in Supply Chain Finance: Evidence from Jingdong E-commerce Platform
Authors: Yu Jiayi
Published: December 2024

China is currently at a critical stage of promoting high-quality development of the real economy through innovation and fostering new growth drivers. The financing needs of small and medium-sized enterprises (SMEs) have become increasingly urgent, and supply chain finance (SCF) offers a novel solution to address this challenge. This study explores the intersection of big data technology and SCF. Drawing on relevant literature, the study clarifies the concepts of SCF and big data. A detailed case study of JingDong Group, one of China's leading e-commerce platforms, is conducted to reveal the practical application and significance of big data in SCF. According to the analysis, JD has successfully leveraged big data to improve customer acquisition, enhance risk management, and reduce financing costs for enterprises along the supply chain. As one of the pioneers in exploring the "e-commerce platform + supply chain finance " model, JD has built a robust SCF platform that not only supports its own supply chain but also enables technological innovation to be exported to other industries. These results provide practical recommendations for SCF companies looking to integrate big data into their operations and discusses both the potential and current limitations of these technologies. This research offers empirical support for the digital transformation of SCF and provides a theoretical foundation for enterprises aiming to use big data to drive innovation and improve financing efficiency.
Decentralized Financial Systems: Multivariate Stochastic Modeling for Cryptocurrency Valuation
Authors: Joneleit Aidan Christopher
Published: December 2024

The decentralized financial system that forms the basis of crypto assets is highly volatile and constantly changing, making the process of valuation one of the thorniest challenges of the modern-day finance sector. This study deals primarily with the analysis of several factors through which the value of cryptocurrency is determined and also seeks to stress how much caution is needed while addressing both risks and rewards. By employing multivariable and stochastic analyses, the study deconstructs the various factors at play in the bitcoin market. It is clear from the result that the volatile environment of the digital currency is a combination of ones mood, new laws, and technological development. Thus, the findings underline the information that while it is possible to become an exception and make a brilliant rise at the financial top, there is also a large and often unpredictable downside involved. It is a valuable resource for the policymakers who have to come up with the legislation to regulate innovation without compromising the markets veracity, these results can be a useful tool for all investors who struggle to make the right decisions in the world of decentralized cryptocurrencies.
The Advantages and Disadvantages of Overconfidence in Behavioral Economics
Authors: Yu Liangzhang
Published: December 2024

In behavioral economics, overconfidence is a well-researched cognitive bias that has a big impact on how people and organizations make decisions. This essay explores the benefits and drawbacks of overconfidence while emphasizing its double influence on economic behavior. Positively, excessive confidence can encourage risk-taking, entrepreneurship, and daring behavior in people, all of which can promote innovation and economic expansion. It can also boost self-confidence, which in turn can boost motivation, perseverance, and general performance. On the other hand, overconfidence can have serious negative effects, including bad decision-making, underestimating risks, financial errors, and excessive market volatility. It frequently leads to people undervaluing competition, ignoring possible hazards, and ignoring pertinent information, all of which can lead to serious financial and personal losses. The study emphasizes the significance of comprehending the complex consequences of overconfidence in behavioral economics and the requirement for methods to minimize its negative effects while maximizing its positive ones.
From Monetary Policy to Global Growth: The Long and Short Term Impact of US Interest Rate Hikes on the Global (Asia-Pacific) Economy
Authors: Zhang Boxuan
Published: December 2024

US interest rate hikes, primarily determined by the Federal Reserve, exert significant influence on global economic conditions. Recent developments, particularly in Japan, have highlighted the profound impacts of these policy shifts on global markets, with the Asia-Pacific region being especially affected. This paper examines both the short-term and long-term consequences of US interest rate hikes on Asia-Pacific economies. In the short term, these hikes have led to currency devaluation, capital outflows, and stock market volatility. Over the long term, they have influenced growth forecasts, investment patterns, and trade dynamics within the region. The paper begins by introducing US monetary policy and its global ramifications, followed by an in-depth case study of recent rate hikes and their effects on select Asia-Pacific economies. It then provides a thorough analysis of the economic impacts and offers policy recommendations to mitigate the negative consequences. The goal of this paper is to deepen the understanding of global economic interdependencies and to propose measures for Asia-Pacific economies to adapt and respond effectively to changes in US monetary policy.
The Impact of Earnings Management on Corporate Performance under the Empowerment of Digital Transformation
Authors: Yang Chengyuan
Published: December 2024

Driven by the global digital economy, the relationship between corporate earnings management and performance has taken on new dynamics. This study explores how digital transformation affects corporate performance by altering the motivations, methods, and outcomes of earnings management. The research finds that digitalization enhances information transparency, reduces information asymmetry, and encourages companies to shift from short-term financial goals to long-term value creation. Digital tools optimize internal control and decision-making processes, reducing the scope for accounting manipulation. Furthermore, digital technology improves corporate risk management, mitigating the risk of performance fluctuations caused by earnings management and promoting stable and sustainable financial performance. This paper provides strategic guidance for corporate financial management in the digital environment, revealing the key role of digital transformation in enhancing corporate performance.
The Future of Womens Olympic Sports: Trends Among Generation Z and Gender Equality Analysis
Authors: Zhang Leonardo Tang Yuan
Published: December 2024

The increasing visibility and popularity of womens sports at the Olympic level represents a significant shift within the sports industry, largely shaped by the values and interests of Generation Z. The 2024 Paris Olympic Games further accentuate this shift, with unprecedented media attention and support directed toward women athletes. The advent of new sport programs such as womens skateboarding and surfing is expected to bring about a significant shift in the representation of female athletes on the global stage. The inclusion of these new sports has heightened expectations that the Games will be one of the most egalitarian and inclusive in history. Through secondary data analysis and thematic analysis, the paper delves into the rising popularity of womens sports in the Olympic Games and the pivotal role that Generation Z is playing in this trend, revealing the factors that are driving Generation Zs interest in womens sports, as well as emphasizing their strong support for gender equality and inclusion. Therefore, the results demonstrate that the combination of Generation Zs media consumption patterns and their advocacy for social justice will persist in enhancing the status of womens sports, creating more opportunities and visibility for female athletes.
L'Oral's Acquisition History and Marketing Strategies
Authors: Lin Yuxin
Published: December 2024

L'Oral Group is a preeminent global leader in the beauty and cosmetics industry, and since its inception in 1909, L'Oral has undergone substantial growth, marked by strategic acquisitions and innovative marketing approaches. This paper delves into the development, acquisition history, and marketing strategies of L'Oral, examines the company's evolution from a niche hair dye producer to a diversified beauty conglomerate through an in-depth analysis of its acquisition strategy, significantly expanding its brand portfolio and global presence. Additionally, the paper explores L'Orals marketing strategies, including its pioneering use of digital marketing, emphasis on consumer engagement, and commitment to sustainability and inclusivity. Tracing these developments, the paper aims to provide a comprehensive understanding of how L'Oral's strategic acquisitions and marketing innovations have contributed to its enduring success and leadership in the competitive beauty market. Through a study of L'Oral's century-long development, it is clear that its success was not accidental, but the result of precise strategic planning, keen market insight, and effective marketing strategies working together. From the initial innovation of hair dye to its current position as a global leader in cosmetics, L'Oral has always been at the forefront of the industry, maintaining its core technology advantage while continuously expanding its influence in various niche markets through acquisitions.
The Impact of Digital Government Construction on Digital Finance -Empirical Test Based on the E-government Index of 31 Provinces in China
Authors: Huang Ziqi
Published: December 2024

As the digital era dawns, digital government construction and digital financial development play an important role in optimising the market environment and improving the reach of credit, and have become an important force for social progress and high-quality economic development. Digital government construction can promote digital financial development through information sharing, improving the legal environment and promoting market-oriented reform. This paper investigates the impact of digital government construction on digital financial development at the provincial level by using individual fixed-effects models with Chinese provincial panel data from 2018-2021. The study shows that the enhancement of digital government construction significantly increases the degree of local digital finance development. The government should pay attention to the digital construction of platforms, establish government databases, promote data sharing, strengthen financial regulation, and promote the process of financial digitisation.
Hybrid Bayesian and Multiple Regression Models for Stock Market Prediction: A Comparative Analysis of Predictive Accuracy and Risk Management
Authors: Yao Ruoyu
Published: December 2024

In financial markets, forecasting stock price movements is critical for informed decision-making. Probabilistic models, particularly Bayesian methods, have grown in popularity due to their flexibility and ability to manage uncertainty. Multiple regression analysis, which focuses on the relationships between stock prices and independent variables like economic indicators, has also proven beneficial. However, traditional regression methods have limitations when dealing with nonlinear relationships in stock markets. This study explores the integration of Bayesian and multiple regression models, leveraging the strengths of both methods. By applying these models to daily stock prices from the S&P 500 index over ten years and incorporating macroeconomic variables such as interest rates, inflation, and GDP growth, we evaluate the predictive accuracy of each approach. The hybrid model, which combines Bayesian and multiple regression techniques, outperforms both individual models. It offers improved forecasts and risk management strategies. These findings provide significant insights for financial analysts and investors aiming to enhance their forecasting accuracy and mitigate risks.
Innovative Applications and Challenges of AI in the Fast Fashion Industry
Authors: Zhao Jingxuan
Published: December 2024

This research explores the impact of post -COVID 19 global economic situation on fashion industry, especially fast fashion. Analysis of the current challenges and opportunities facing the industry are included. Existed researches have already elucidated that fast fashion industry faces dilemma of gloomy outlook of future market due to global inflation, climate crisis and other factors. By analyzing the global market data and combining the application of generative AI in fashion design, marketing and supply chain optimization, this paper discusses the development strategy of the fast fashion industry. The study found that AI technology shows great potential in product design, supply chain management and user engagement. Meanwhile, environmental regulations and data privacy concerns induce serious challenges to the industry. The findings of this paper provide a new perspective on how the fashion industry can balance technological innovation and sustainability in the future, and provide effective advice for companies to cope with market changes.
Chinese Consumers' Online Shopping Behavior and the Impact of Economic Growth
Authors: Liu Xiaotong
Published: December 2024

Over the past 40 years, Chinas digital transformation, driven by the Internet and mobile devices, has reshaped consumption patterns, making online shopping a key economic growth driver. This paper first analyzes the needs and characteristics of Chinese consumers in online shopping behavior. Then, through empirical analysis, we study the effects of price, logistics speed and income on online shopping behavior. Secondly, this paper discusses the impact of e-commerce on the traditional retail industry and its countermeasures. With its price advantage, rich product selection and 24-hour service, e-commerce has had a significant impact on the traditional retail industry. The traditional retail industry needs strategic adjustment and transformation to adapt to the new market environment and consumer demand. Finally, this paper discusses the impact of online shopping on economic growth, increasing consumption and expanding domestic demand from the perspective of consumers, promoting urban economy from the perspective of sellers, and promoting the overall development of regional urban economy from the perspective of logistics companies, and puts forward policy recommendations to support the sustainable development of e-commerce
The Influence of the Management Background of Chinese Listed Companies on the Enterprise Performance
Authors: Du Minghao
Published: December 2024

The characteristics of senior management personnel are closely related to strategic choice and enterprise behavior, which subsequently impact business performance. With the development of the society, the discussion of the influence of the education or ability and age heterogeneity of senior executives on the development of enterprises and the corresponding performance is becoming increasingly intense. Based on the theory of the senior echelon proposed by Hambrick and Mason in 1984, this paper selects the senior management team of China's A-share listed companies that can objectively measure the age and education level in the population background characteristics, and studies the relationship between the background characteristics of managers and enterprise performance through multiple linear regression method. The empirical results show that the average age and educational background of senior executive teams of listed companies in China have a significant positive correlation with enterprise performance. This finding suggests that older and more educated senior managers positively influence corporate performance. Senior managers with higher age and education levels are likely to possess more sophisticated experience and a deeper reserve of professional knowledge.
Comparative Analysis of the Effectiveness of Different Algorithms for House Price Prediction in Machine Learning
Authors: Deng Zhicong
Published: December 2024

In today's economic climate, where housing is a major focus, predicting house prices has become essential for both buyers and investors. Accurate price prediction allows for more informed decision-making, helping to minimize losses and maximize potential profits. The paper explores the different machine learning algorithms to predict house prices, utilizing the classic Boston Housing dataset from Kaggle. The study compares the performance of four algorithms: Random Forest (RF), Decision Tree (DT), Gradient Boosting (GB), and Extreme GB (XGBoost). Experimental results demonstrate that GB and XGBoost outperform the other models, delivering the highest prediction accuracy. These algorithms excel in capturing complex, nonlinear relationships in the data, making them particularly effective for house price prediction. The findings suggest the models like GB and XGBoost can enhance the accuracy of prediction, offering valuable insights into the real estate market. The study also highlights the importance of continuously refining machine learning models to adapt to changing market conditions. By improving predictive models, the study contributes to an understanding of home price dynamics, which is critical for both home buyers and real estate investors, which is crucial for both homebuyers and real estate investors.
Luckin Coffee: The Impact of Financial Fraud on Company Value -- Research on Capital Market Reactions and Reputation Rebuilding
Authors: Zhang Boyi
Published: December 2024

In recent decades, China has developed increasingly close ties with global capital markets through continuous "bringing in" and "going out." On October 9, 1992, Brilliance Auto (NYSE: CBA) became the first "China-concept stock" to be listed in the U.S. In the following decades, waves of Chinese companies chose to list on NASDAQ, accelerating Chinas integration into global capital markets. In 2020, Luckin Coffees financial fraud was exposed, quickly making the company a target of widespread criticism and driving its stock price to rock bottom. The resulting trust crisis not only affected Luckin but also impacted many other China-concept stocks. Although the storm has gradually subsided, the impact of financial fraud on a companys value and the process of recovery remains an important topic for exploration. This paper uses Luckin Coffee as a case study, combining case and data analysis to examine the impact of financial fraud on a company in the capital markets and the arduous path of restructuring and self-rescue that Luckin undertook to recover. It serves as a significant warning for today's corporate managers of publicly listed companies. This paper finds that Luckin Coffee's financial fraud severely impacted its stock price and reputation, but through restructuring and strategic adjustments, the company demonstrated significant resilience. The study offers valuable insights into the recovery process for companies facing similar crises.
Analyzing the Rise of the GMs Brand from a Brand Development Perspective
Authors: Cao Yue
Published: December 2024

The global eyewear industry thrives on the dynamic interplay of shifting consumer preference, technological advancements, and the emergence of new brands. This study examines the rise of the GM brand, focusing on its positioning, design and communication method to understand the factors behind its success. Employing case study and analysing second-hand industry data, the study investigates effective brand development within the fashion sector. It offers insights into how emerging brands navigate competitive landscapes through innovation, consumer engagement, and strategic positioning. By analyzing GM's growth from a brand development perspective, this research examines its core principles, design strategies, and marketing approaches that have propelled the brand's success. Through the analysis with established and emerging eyewear brands, the paper identifies the unique elements driving while also exploring the challenges and opportunities that lie ahead. The case study provides valuable insights into effective brand-building strategies in the fashion industry, underscoring the crucial role of innovation, design excellence, and consumer engagement.
Relationship Among Stock Market Index and Macroeconomic Indicators: An Empirical Analysis of Post-pandemic Era
Authors: Zhang Shiqi
Published: December 2024

There exists a strong correlation between fluctuations in stock prices and the financial and economic circumstances of a nation. Being a fundamental component of stock market analysis, the stock index serves a crucial function in defining the general direction of the stock market, offering a benchmark for market risk, and fostering market confidence. In the post-pandemic era, with the recovery of the stock market and the national economy, whether the connection between macroeconomic indicators and the stock market has changed or not has become an important research topic. The study gathered monthly data from 18 countries characterised by varying degrees of development, geographical location, and cultural heritage throughout the period following the epidemic (January 2023 to June 2024)This study explores the relationship between typical macroeconomic indicators and stock market indexes worldwide. Using the concepts of addition and weighting, this study sorts the degree of closeness between these indicators and the stock index, which enables future researchers to effectively choose suitable macroeconomic indicators by consulting this paper while analysing the stock market. The rank of closeness degree is based on the unemployment rate, exchange rate, inflation rate, and interest rate. Finally, VIF and significance before and after dimensionality reduction were compared to prove the effectiveness of ranking.
Enhancing Option Pricing Accuracy: Integrating the GARCH Model into the Black-Scholes Model for U.S. Stock Indices
Authors: Zhao Hanzhi
Published: December 2024

The main objective of this study is to increase the accuracy of option pricing of the Black-Scholes model by integrating GARCH models and analyzing the effectiveness of this method across different industries. This study focuses on the three major U.S. stock indices needed to achieve this goal and derive the results. By applying the GARCH model to options data from these indices, this study shows that the GARCH model significantly enhances the pricing accuracy for SPX and DJIA options while not yielding similar improvements for NDX options. This discrepancy highlights the GARCH model's effectiveness in more stable, less volatile industries like industrials and manufacturing but its reduced utility in the technology sector, where stock price fluctuations are more unpredictable. Finally, This study recommends that investors use the GARCH model in industries such as manufacturing and suggests that future research adopt more accurate and advanced models to enhance option pricing in highly volatile sectors, providing investors with better tools and methodologies.
Digital Marketing Strategies and Analysis of Chinese Beauty Brands: A Case Study of Mao Geping
Authors: Chen Pinyan
Published: December 2024

This paper provides a comprehensive analysis of the digital marketing strategies employed by Mao Geping, a leading Chinese luxury beauty brand renowned for its unique fusion of traditional Chinese aesthetics and contemporary beauty concepts. As MGP adapts to the rapidly changing digital landscape, the brand faces numerous challenges and opportunities. This study examines MGPs strategies, focusing on hyper-personalization, influencer marketing, and international expansion. MGP has effectively utilized social media platforms, e-commerce channels, and influencer collaborations to solidify its presence in the domestic market. However, the brand encounters significant hurdles, including maintaining cultural authenticity while appealing to global audiences, tailoring its products to diverse consumer preferences, and managing the intricacies of data-driven consumer personalization. To achieve sustained success in the global beauty industry, MGP must embrace advanced data analytics for personalization, expand its influencer partnerships internationally, and create culturally adaptable marketing campaigns that seamlessly blend tradition with modernity. This approach will position MGP for long-term growth and influence in the global beauty market.
The Impact of Artificial Intelligence Technology on Supply Chain Management
Authors: Lin Xiyao
Published: December 2024

In the era of globalization and swift technological progress, the significance of supply chain management (SCM) in the facilitation of business operations has never been more pronounced. This paper investigates the profound impact of artificial intelligence (AI) on SCM, with a focus on scrutinizing the trajectory of AI's development and its practical applications within the supply chain context. The study's objective is to evaluate the advantages AI confers upon the field, through an examination that encompasses a literature review and case analysis. This research scrutinizes AI's contributions to enhancing supply chain efficiency, transparency, flexibility, and responsiveness. The findings underscore that AI's influence extends beyond mere operational enhancements; it is a catalyst for agility, enabling supply chains to swiftly navigate market fluctuations. The paper concludes that the amalgamation of AI with SCM is not just an evolution but a revolutionary shift, presenting a novel framework that will guide forthcoming research and dictate practice within the sector.
The Economic and Societal Impact of Large Corporations: A Comprehensive Analysis of Successful Business Practices
Authors: Lin Zihan (Hansen)
Published: December 2024

In today's globalized economy, large corporations have a profound impact on both economic systems and societal structures. This paper takes an in-depth look at the dual role these companies play, particularly focusing on wealth creation and how they reinvest their earnings. By examining companies like Apple, Amazon, and Walmart, the paper explores their contributions to economic growth, job creation, and improving consumer welfare. At the same time, it addresses the potential downsides of their immense success, including concerns about monopolistic practices and growing wealth inequality. By analyzing the balance between the positive and negative impacts, the study looks at how these businesses contribute to government revenue, invest in infrastructure, and take on corporate social responsibility initiatives. Based on existing research, the paper concludes that while there are valid concerns about the concentration of corporate power, the overall benefits provided by successful businessessuch as technological innovation, job creation, and increased productivitytend to outweigh the potential downsides. However, it underscores the importance of maintaining regulatory frameworks to ensure fair competition and to mitigate any negative societal impacts. Ultimately, this paper argues that with proper oversight, large corporations can continue to be vital contributors to both economic and social progress.
Analysis of the Reasons and Future Trends for the Rise of International Gold
Authors: Zhang Chenning
Published: December 2024

Gold has long been regarded as a traditional safe haven asset, especially during economic uncertainty and geopolitical unrest. This study examines the complex interplay between traditional supply-demand dynamics, macroeconomic conditions, monetary policies, and market sentiment. Factors such as limited gold mine production and rising production costs, while central banks have increasingly turned to gold as a reserve asset, has driven prices upward even further. Additionally, geopolitical risks, inflation expectations, and Fluctuations in the US dollar, often inversely correlated with gold prices, have added to market volatility. The widespread use of financial instruments like gold ETFs and futures has also contributed to price fluctuations. As the global economy recovers, adjustments in monetary policy and ongoing geopolitical tensions will play a critical role in shaping the future direction of gold prices. This analysis offers valuable insights for investors and policymakers while suggesting future research scope to further understand the gold market's complexities.
Cyclical Nature of Storage Chip Prices
Authors: Wang Xi
Published: December 2024

This study focuses on the cyclic trend of storage chip prices, which are influenced by such factors as technological upgrades, macroeconomic policies, and global demand and supply size. To be specific, through the history of a few major semiconductor manufacturers including Samsung and Micron that provide historical data, plus macroeconomic indicators such as GDP growth, inflation, and global trade conditions, the study uses the time series analysis that includes the ARIMA model to recognize the price cycles as regular events. Apart from time series analysis, the regression models were used to ascertain the influence of the macroeconomic variables in price fluctuations. The results concluded that storage chip prices follow a certain pattern, meaning that periods of economic growth cause price hikes facilitating investment opportunities while recessions open up possibilities for long term buyoffs at low prices. The scholars noted that traditional econometric models are helpful, but it is also notable to provide real time market evaluations and see new technologies that the entrepreneur should be aware of their forecast future price trends. In general, the fundamental ground for investors to deal with the fluctuation of the semiconductor market that is based on these cyclical trends is presented in the paper.
Analysis of the Concepts and Applications of ETH: Finance, Online Payments and Transactions
Authors: Wu Gaojiong
Published: December 2024

With the rapid development of blockchain technology, encrypted assets have gradually become an important component of the global financial system. This study aims to analyze the concept of Ethereum (ETH) and its applications in finance, online payments, and transactions. This article first reviews the development history and research progress of blockchain, and then explores the current situation of the cryptocurrency market, with a focus on analyzing the basic characteristics and encryption algorithms of Ethereum. In the application section, this article discusses in detail the various applications of Ethereum in decentralized finance (DeFi) and non-fungible tokens (NFT), revealing its important role in promoting financial innovation and digital asset management. At the same time, the article also points out the limitations of Ethereum in terms of technical bottlenecks, compliance, and user education. Nevertheless, the future is still full of hope. Through this study, academia and industry practitioners can gain a deeper understanding of the potential and challenges of Ethereum, providing important references for its sustained development in the global financial ecosystem.
Study on the Impact of Macroeconomic Changes on Adolescent Mental Health
Authors: Zhu Yingjin
Published: December 2024

With the continuous development of economy and technology, people's lifestyles are slowly changing, but the new generation of teenagers do not seem to be happier because of the improvement of economic level. According to statistics, more and more teenagers seem to have psychological problems to varying degrees. Paying attention to the mental health of teenagers is a topic that the whole society should pay attention to. This article selects the nominal GDP growth rate, population growth rate and CPI of the United States as independent variables, and the prevalence of MDE among adolescents from 2014 to 2023 as the dependent variable, attempting to explore the relationship between the macroeconomic level and adolescent mental health. The results show that population growth is negatively correlated with adolescent psychological problems, but higher GDP growth rates and higher inflation rates (measured by CPI) are associated with higher MDE prevalence rates. This result can remind the government that while developing the economy, it should also focus on using public resources to protect the healthy development of adolescents.
The Security Payment Based on Blockchain Techniques: Evidence from ETH
Authors: Tao Xiran
Published: December 2024

As a matter of fact, with the continuous development of blockchain technology, its potential in various applications is gradually emerging especially in recent years. With this in mind, this article explores the practical experience of applying blockchain technology in e-commerce shopping platforms, especially the challenges and solutions encountered in product management, purchase process, and logistics status tracking. Through the analysis of these experiences, this research summarizes the key points that should be paid attention to in the process of designing and implementing blockchain e-commerce platforms. At the same time, this study puts forward relevant suggestions to provide references for the development of similar projects according to the analysis. These results delve into the application of blockchain technology in e-commerce platforms, focusing on challenges as well as solutions in product management, purchasing, and logistics tracking. Overall, it highlights essential considerations for designing blockchain-based e-commerce systems and offers recommendations for future projects.
Challenges and Opportunities of Digital Currencies for the Traditional Financial System
Authors: Xu Hecheng
Published: December 2024

With the development of digital currencies, it has changed the financial world. These changes began after the 2007-2008 financial crisis. This article discusses the challenges and opportunities of digital currencies and how it influences traditional financial systems. It focuses on issues like price swings, government regulations, and the rise of CBDCs. Most research shows that digital currencies have advantages like making transactions faster, cheaper, and more accessible. They also have a lot of disadvantages like creating major risks concerning compliance with regulations, cybersecurity, and potential impacts on monetary policy. The review emphasizes the necessity for regulatory frameworks. It supports both innovation and stability for the digital currencies. It suggests that policymakers and financial institutions should adapt to changes and face the challenges by integrating digital currencies with existing systems. Overall, this review highlights the potential of digital currencies to transform finance. It also stresses the importance of focusing on the challenges they pose to ensure they can coexist successfully with traditional financial systems.
Predicting China's Crude Oil Futures Prices: A Strategic Comparison of Random Forest and Time Series Models
Authors: Xia Yunya
Published: December 2024

This article examines the critical roles of Random Forest (RF) and Time Series (TS) models in forecasting China's crude oil futures prices, providing a comprehensive comparison of their predictive capabilities. The study employs ARIMA and SARIMA models, known for their proficiency in capturing data trends and seasonality, to harness the temporal aspects of oil price movements. In contrast, the RF model is recognized for its robustness in handling complex datasets, offering a nuanced approach to non-linear relationships and variable interactions. The analysis reveals that the ARIMA (0,1,4) model outperforms the (1,1,0) model in terms of prediction error and statistical fitting. However, the RF model's strength lies in its precision and flexibility, particularly in responding to market fluctuations. The paper concludes with the insight that ARIMA models are more suitable for long-term strategic planning due to their stability, whereas RF models excel in short-term forecasting and high-accuracy prediction scenarios. These findings are invaluable for market participants, offering them data-driven strategies to optimize their decision-making processes in the volatile oil futures market.