bluuebunny/crossref_metadata_2025 huggingface dataset:
Pricing Model for Asian Call Options on Crude Oil Futures: Monte Carlo Simulation and Regression Approach
Authors: Yuan Yizhou
Published: January 2025

This study develops a comprehensive model for determining Asian call option prices on crude oil futures, employing Monte Carlo simulation and regression analysis. The primary objective is to accurately capture the path-dependent nature of Asian options, which differ from standard possibilities by relying on the average of the underlying asset price during a specified period, instead of a single point in time. Using a geometric Brownian motion model, the simulation generates multiple price paths to estimate the average payoff of the option. In order to refine these estimates through regression analysis, we relate simulated payoffs to the price of a caculated European call option, which is determined by applying the Black-Scholes method. The models accuracy and robustness are further evaluated through sensitivity analysis, examining the impact of varying key parameters such as volatility and the initial futures price. The results demonstrate that the proposed model effectively prices Asian options in volatile markets, with a Mean Square Error (MSE) of 0.0151, indicating high accuracy. In general, this approach provides valuable insights for financial analysts and traders, contributing to more reliable risk management and trading strategies in quantitative finance.
Optimizing Product Design, Marketing and Customer Relationship Management in Healthcare Enterprises Through Data Analytics - A Case Study Based on a Healthcare Enterprise
Authors: Xu Wenxuan
Published: January 2025

With the rapid development of the healthcare industry, companies are facing fierce market competition and changing consumer demands. This study aims to explore how data analytics can help healthcare companies optimize product design, marketing strategies, and customer relationship management. Through a case study approach, this paper analyzes how Johnson & Johnson uses big data and artificial intelligence technologies to improve the efficiency and effectiveness of its core business processes. The findings show that data analytics can not only improve the scientific and innovative nature of product design but also increase market penetration and customer conversion rates through precision marketing. In addition, the data-driven approach shows significant results in improving customer relationship management and enhancing customer satisfaction and loyalty. The findings of this study emphasize the importance of data analytics in the decision-making process of healthcare companies and suggest directions for future research, including further exploration of the potential and challenges of data analytics applications in healthcare.
Study on the Spillover Effect of Cryptocurrency Market on Chinese Market -- Based on VAR-DCC-GARCH Model
Authors: Wang Yichen
Published: January 2025

In recent years, the cryptocurrency market has seen explosive growth, with major assets like Bitcoin becoming integral parts of global financial portfolios. Despite their high volatility and speculative nature, cryptocurrencies have garnered significant attention from both institutional and retail investors. This study explores the impact of the digital currency market on Chinas financial sectors, including equities, commodities, bonds, and foreign exchange. Utilizing a VAR-DCC-GARCH model, the research analyzes daily data from 2017 to 2023, revealing significant dynamic correlations and volatility spillovers, particularly during periods of market stress like the COVID-19 pandemic. The results demonstrate that the digital currency market strongly influences Chinas stock and commodity markets, while the bond market and exchange rate are less affected.
Analysis of Malaysias Economic Relations
Authors: Fang Xinwei
Published: January 2025

The paper examines the economic relations in Malaysia over the past 25 years, focusing on the relationship between real Gross Domestic Product (GDP) and inflation rate change, as well as the relationship between real GDP growth rate and unemployment rate change. Using data from the World Bank from 1998 to 2022, the study employs Phillips curve analysis to understand the impact of the output gap on inflation and Okuns law analysis to explore the connection between economic growth and unemployment. The findings reveal a weak correlation between real GDP growth and inflation rate change in Malaysia, suggesting the need to consider additional factors such as money supply and international market dynamics in economic analysis. Nevertheless, there is a strong negative correlation between the growth rate of real GDP and the change in the unemployment rate, suggesting that an increase in economic activity leads to a decrease in the unemployment rate. These insights can inform policymakers in Malaysia in formulating effective economic policies to maintain stable growth and employment rates.
Research on the Development and Application of the Behavioral Finance
Authors: Yan Kun
Published: January 2025

Investors in the stock market need not be rational in their buying and selling decisions, just as consumers are not required always to act rationally to maximize their utility. When people are no longer rational in their consuming behaviors and lack clear preferences toward risk levels, the expected utility theory becomes less efficient. This paper introduces the elementary method of behavioral finance, especially the prospect theory. The contents rely on the views and theories in Kahnemans paper Prospect Theory: An Analysis of Decision under Risk published in 1979. The paper includes both psychological and mathematical explanations of the Prospect theory and other behavioral finance methods. As frequently taught in a normal economic class, the efficient market theory always assumes the rationality of decision-makers, and most of them make their decision in an unbiased, unaffected way. However, investors do not necessarily need to behave rationally for markets to remain efficient. The intersection of human behavior and investment decisions has since evolved as behavioral finance, which has arisen in the last decades as a consequence of the gaps that have been found in the substantial assumptions of neoclassical finance theories. Research demonstrates that the investment decision-making process is more human than analytical, owing to behavioral biases. Based on the views in Kahnemans 1979 work and recent studies in prospect theory and heuristic decision-making process, this paper explores the elementary method of behavioral finance.
The Impact of Technological Innovation on Economic Growth: A Study Based on Relevant Cases
Authors: Zhang Huayu
Published: January 2025

Technological innovation is an important force behind the economic growth. This paper proceeds to explore the influence of technological innovation on economic growth in terms of the outcome of patent production, the money spent on research and development, as well as the number of personnel in research and development in different regions of China and the world. The goal of the research is to analyze how technological innovation promotes or hampers economic growth as measured with GDP adopting an emphasis on regional differences. A quantitative empirical analysis, which includes regression models, has been carried out to find out the dynamics of the relation between the principle indicators of innovation and the economic performance in China in its eastern, central, and western provinces from 2010 to 2023. The results show that areas with higher patent production and R&D funding have faster economic growth compared to those that do not have these technologies. In contrast, the latter areas may lag behind the former either because of fewer resources or due to a lack of or inadequate infrastructure.
Investment Analysis of Amazon: Valuation, Regression Models, Risk Assessment, and Strategic Hedging
Authors: Jin Shengsheng , Qi Chengyu , Xie Huining
Published: January 2025

In contemporary quantitative finance, accurately valuing large-cap growth stocks with great momentum, like Amazon, is crucial for portfolio optimization and risk management in a market mainly consisting of mega-cap stocks. This paper analyzes Amazon's investment potential, focusing on valuation, risk, and hedging strategies. Using the Free Cash Flow to the Firm (FCFF) and Capital Asset Pricing Model (CAPM), we estimate a 16% upside in Amazon's share price, reflecting strong growth potential. Regression analysis shows significant links between its stock and key economic indicators, while a Value at Risk (VaR) of 2.71% indicates lower risk than peers. The model suggests using 24 put option contracts per 100 shares to manage downside risk. This research provides investors with quantitative insights into Amazons financial outlook, emphasizing its attractiveness as a resilient growth stock for a moderate long-term portfolio.
Externalities of Financial Fraud: Competitor Reaction and Cross-Sectoral Impact of the Luckin Coffee Scandal
Authors: Xu Liheng
Published: January 2025

This study examines the impact of the Luckin Coffee financial fraud scandal on abnormal stock returns across related and unrelated industries. Using a Difference- in-Differences (DID) methodology, this study examines market reactions to two key events: the initial fraud allegations in the Muddy Waters report (January 31, 2020) and Luckin Coffees admission of fraudulent activities (April 2, 2020). The food and beverage sector experienced a sharp 7.75% decline (p < 0.05) in abnormal returns during the first week following the fraud allegations, stabilizing over the next two months. Upon confirmation of the fraud, the retail food sector demonstrated a strong positive reaction, with returns increasing by 17.45% (p < 0.01) in the first week and continuing to rise in the following months. In contrast, the food and beverage sector saw only temporary gains, with no significant movement thereafter. Other sectors, such as technology and finance, displayed considerable volatility and delayed responses to the scandal. These findings highlight the externalities of financial fraud, illustrating its disruptive effect on market behavior across industries. The results underscore the need for more robust corporate governance, enhanced regulatory oversight, and targeted behavioral interventions to mitigate fraud risk and restore investor confidence.
The Impact of Changes in Chinas Primary Market on Technological Innovation
Authors: Liu Yipeng
Published: January 2025

Amid the rapid development of the global economy, high-tech industries such as artificial intelligence and big data have increasingly become central drivers of growth, with technological innovation emerging as the core force behind national progress. As the primary platform for capital absorption and resource allocation, the capital market has also become a critical driver of technological innovation. In China, local governments have gradually assumed the role of limited partners in the primary market, significantly impacting innovation-driven enterprises. This paper is aimed to examine the effects of government-led investment on innovative companies. The research focuses on analyzing changes in investment scale, funding sources, and regulatory frameworks in China's primary capital market and explores how these factors influence the development of innovative enterprises. Through an analysis of capital market data and the performance of innovation-driven companies, this study concludes that although government involvement as the primary investor may lead to imbalances in investment distribution, its role in fostering technological innovation, promoting industrial upgrading, and advancing sustainable development is more profound. Therefore, China's capital market must become more flexible and market-oriented to ensure that capital is effectively channeled to projects with the highest innovation potential. As China continues to refine capital market mechanisms, future innovative enterprises will benefit from more efficient resource allocation and increased funding for research and development, allowing them to maintain a leading position in global technological innovation while injecting fresh vitality into economic growth, creating a positive cycle.
Economic Analysis on the Profitability of the Olympic Games
Authors: Zhang Fan
Published: January 2025

The Paris 2024 Olympic Games have ended successfully, and the "Olympic Economy" has once again become the focus of social attention. The Olympic Economy is an economic phenomenon in which the host city of the Olympics takes advantage of the resources and business opportunities created by the event to carry out a series of economic activities before, during and after the Games. In this way, it stimulates the economic development of the region and brings about a phased acceleration of economic development for the host city. This paper analyses the expenditures and revenues of hosting the Olympic Games, and divides the income into direct and indirect benefits for specific analysis. It also reviews the economic impact of hosting the Olympics based on historical data, and further explores the factors affecting the profit and loss of host cities by analyzing the profitability of the Paris 2024 Olympic Games. The paper concludes that hosting the Olympic Games can enhance national image and promote economic development, and it is recommended to encourage countries to actively host the Olympics.
The Impact of the Torgsins on the Union of Soviet Socialist Republics Industrialization Between 1928 and 1936
Authors: Li Zimeng
Published: January 2025

The paper focuses on the impact that the foreign trade entity, Torgsins, had brought upon the industrialization in the Union of Soviet Socialist Republic (USSR) within the periods of its existence during 1928 to 1936. Due to the five-year plan announced in 1928 by Josphe Stalin, which aims at full industrialization of the new Soviet Russia, the gold and foreign currency supplies that the USSR owned was in an intolerable declining trend, which financially caused severe issues such as bankruptcy, if no other methodologies were adopted to rebuild the supply. With suppliance of gold from either foreign trading partners, or salvage from citizens jewelry through famine, Torgsins provided the USSR treasury with necessary gold for development of agriculture and manufacture. However, despite the positive impacts, the Torgsin policy brought the advancements of the nation at the cost of USSRs population, which made it crucial to reconsider such policys necessity by comparing with other potential choices.
Economic Outcomes from Reliance on Foreign Capital: Taking South Korean and Brazils Crises in the 1990s as Examples
Authors: Zhou Yuming
Published: January 2025

This article analyzes the economic crises of South Korea in 1997 and Brazil in 1999, focusing on the two countries' reliance on foreign capital and their recovery policies under the leadership of the International Monetary Fund (IMF). Both countries suffered severe currency devaluation and economic recession due to capital flight. However, with different economic structures and response policies, the recovery paths of the two countries are also very different. South Korea had benefited from an export-led recovery and sweeping financial reforms, while commodity-dependent Brazil faced more challenges. This study provides an important reference for emerging economies dealing with foreign investment dependence and post-crisis recovery issues. This article specifically analyzes key economic indicators such as Foreign Direct Investment (FDI) flows, per capita Gross Domestic Product (GDP), and exchange rate fluctuations during the economic crisis in South Korea and Brazil, and conducts an in-depth comparison of the two countries' policies to respond to the crisis. Finally, this article puts forward specific countermeasures and suggestions such as diversifying the industrial structure, strengthening the independence of monetary policy, and improving public trust to deal with possible financial instability in the future.
NASDAQ Forecast Based on ARIMA and ETS Models
Authors: Cai Songyu
Published: January 2025

In the financial markets, stock price prediction has always been a classic, popular, and challenging research topic. The ability to effectively predict stock movements can allow investors to maximize returns and manage risks, which reinforces the efficiency of capital markets. Furthermore, understanding and improving prediction models contributes to the academic study of market behavior and the development of more robust financial models. However, stock prices are subject to various economic, political, and psychological factors, introducing high uncertainty and making accurate forecasting a complex endeavor. In this research, two forecasting methods will be used to forecast the NASDAQ index. Their prediction result will then be compared. The ARIMA model and the ETS model are the two forecasting models used in this study. The past 10 years (2013-2024) of NASDAQ index (open) will be used as the data for the training set and test set. The goal of this study is to compare and evaluate the accuracy of each model and determine the model that is better suited for financial forecasting. The result shows that the RMSE value of ARIMA model fitting is lower than ETS model fitting. The ARIMA model provides a better predicting result in predicting the NASDAQ index. This paper compares ARIMA and ETS models to provide insights for future investment decisions and show a new perspective on stock price forecasting.
The Fusion of Fashion and Handicraft Cultural Heritage: The Impact of Consumer Identity on Brands' Differentiated Marketing Strategies in China
Authors: Hao Yijie
Published: January 2025

Over the past two decades, the rise of China and other new economies has contributed to the large-scale growth of the fashion industry and consumerism. Since China has transformed from the 'world's factory' to the 'world's market', many more brands have noticed the Chinese consumer's needs and preferences. Millennials and Generation Z are the main purchasing groups who appreciate the sense of identity in fashion products and prefer those that reflect their traditional cultural heritage. Due to the importance of identity in marketing and retailing, academics are growing interested in this topic. This study aims to explore the impact of consumer identity on brands' differentiated marketing strategies in China under the fusion of cultural heritage and the fashion industry and to provide suggestions for appropriate solutions for fashion brands. Data were collected through an online questionnaire based on the driving effect of identity and identity consistency. According to the analysis, the conclusion is that consumer identity and brand differentiation always affect each other in the defined context of cultural heritage in the fashion industry. The findings of this research can help fashion brands achieve differentiation strategies to stand out in the globalized and highly homogeneous fashion market, as well as achieve long-term development in a mutually beneficial scenario of cultural sustainability heritage and commercial benefits.
A Case Study of China: Influence of Digital Economy on Manufacturing Development
Authors: Qi Chenwei
Published: January 2025

With the advent of the digital age, digital economy has become a major propulsion for the global economy. For manufacturing, digitalization has brought unprecedented opportunities and challenges, transformed production processes and impacted aspects such as marketing and supply chain management. Especially in China, digital transformation has brought notably changes to manufacturing. This paper examines the relationship between the digital economy and manufacturing development by analyzing data from 30 provinces in China from 2011 to 2022. This paper adopts the entropy method to construct a comprehensive evaluation system of digital economy and manufacturing development and uses the panel regression model to conduct an empirical analysis. The results show that the expansion of the digital economy significantly supports manufacturing development, especially in terms of increasing productivity, cutting costs, and allocating resources as efficiently as possible. Additionally, this paper finds that digital lifestyles and digital knowledge environments significantly foster manufacturing development. On the other hand, technological innovation and skilled labor are the key factors for manufacturing development. This paper provides theoretical and practical insights for the integration of digital technologies and the real economy, offering guidance for high-quality and sustainable manufacturing development.
Research on the Influence of Digital Transformation within the Tourism Sector on Location-Based Services
Authors: Lei Chengyao
Published: January 2025

With the advent of globalization, tourism, as a pivotal service industry, is assuming an increasingly pivotal role in market competition. Digital transformation has emerged as the predominant trend in tourism development. This study conducts an extensive analysis of the impact of digital transformation on location-based services (LBS) within the tourism industry. Drawing upon an extensive review of the nature and characteristics of tourism digitization, this paper delves into the trajectory of development, core functions, and current applications of LBS technology in the tourism sector. Specifically, the technical architecture of LBS is examined, with a detailed description of the sequential implementation of GPS, Wi-Fi/Bluetooth indoor positioning technology, and map API integration while underscoring the significance of data security and privacy preservation. By means of variable identification and hypothesis formulation, a theoretical framework for LBS, shaped by the forces of digital transformation, has been established and proposed. The framework employs both quantitative research methodologies, such as structural equation modeling and multiple regression analysis, as well as qualitative approaches, including case study analysis, to garner a diverse array of data sources. These sources encompass online survey responses and content extracted from social media platforms. The research findings indicate that digital transformation has brought about a substantial impact on LBS within the tourism industry, yielding benefits in areas such as personalized services, improved user engagement experiences, and optimized service delivery processes.
Forecasting the Index of Nikkei 225 Based on ARIMA Model
Authors: Gu Baorun
Published: January 2025

In this study, the ARIMA (1, 1, 0) model forecasts the Nikkei 225 index from September 2022 to September 2024. Initially, the difference operation and ADF test are used to guarantee that the data is smooth, and then an optimal ARIMA model is chosen. Meanwhile, ARIMA (1, 1, 0) is considered the most appropriate model based on AIC and BIC criteria. The model shows an excellent prediction ability, particularly over the next 30 days, indicating that the market trend is consistent. However, the confidence intervals increasingly broaden with time, increasing in forecasting uncertainty, particularly in the face of market volatility, which limits the model's accuracy. Furthermore, while ARIMA models perform well in short-run forecasting, advanced versions such as GARCH may be more effective in dealing with complex market volatility. Additionally, combining external macroeconomic variables, such as the GDP growth rate and inflation rate, might improve the model's long-run forecasting accuracy. Therefore, future research can further improve the forecasting effect by introducing more exogenous variables or using more complex models.
The Socioeconomic Implications of Stray Animal Management Through a Bilateral Comparison Between Cities in China and the United States
Authors: Jiang Xingu
Published: January 2025

This paper uses a comparative analysis method to explore the differences in specific measures, relevant policies, and implementation effects in the field of stray animal management between China and the United States and analyzes the impact of these measures and policies on social stability and economic development in the two countries. Through comparative analysis, this paper believes that the overpopulation of stray animals is a common problem faced by China and the US. With the continuous increase in the number of stray animals, China and the US are facing increasingly severe public health challenges, biodiversity damage, lack of welfare of stray animals, and the pressure of sterilization, sheltering, and adoption of animals is also worsening. This paper aims to explore feasible improvement paths in the field of stray animal management for China and the US through a relatively comprehensive comparison. Meanwhile, this paper encourages future research to focus more on extracting more effective management measures from a global perspective to more effectively deal with the derivative effects of stray animal problems, thereby continuously improving the stray animal management systems of various countries and having a positive impact on the sustainable development of the social economy.
The Supply Chain Management of Live Streaming E-Commerce
Authors: Zheng Bo
Published: January 2025

This paper provides a comprehensive analysis of the management mode, supply chain management, and future prospects of the live streaming e-commerce industry. The article begins by outlining the fundamental concept and development process of live streaming e-commerce, emphasizing its significant role as a novel business model in the digital economy. Subsequently, it delves into a detailed analysis of the management mode of live streaming e-commerce, encompassing anchor team construction, content planning, marketing promotion, data analysis and optimization, after-sales service, and customer relationship management. Drawing on successful cases such as Li Jiaqi and Wei Ya, it underscores the critical importance of meticulous supply chain management and astute market insight. Simultaneously, the article also highlights the challenges and issues encountered by the live streaming e-commerce industry, including difficulties in inventory management, product quality control, and logistics distribution efficiency. Ultimately, the paper anticipates the future of live streaming e-commerce, asserting that technological innovation and model innovation will serve as pivotal drivers for industry advancement. It further proposes measures to enhance technology research and development, optimize supply chain management, monitor shifts in consumer demand, and reinforce industry self-regulation and oversight. In summary, this comprehensive analysis offers readers an opportunity to gain a profound understanding of the live streaming e-commerce industry while providing valuable insights for relevant practitioners.
A Study of the Causes and Effects of the Yen Rate Hike
Authors: Chen Suyang
Published: January 2025

This paper explores the reasons for the yen's interest rate hike and its potential impact on Japan's economic growth by comprehensively analyzing the Bank of Japan's monetary policy trends, the domestic and international economic environment, and the direction of financial markets. The findings suggest that inflationary pressures, economic growth dynamics, the global economic situation, international coordination of monetary policy, and financial market stability are the key factors influencing the yen's decision to raise interest rates. In formulating monetary policy, the BOJ needs to balance maintaining price stability, promoting economic growth, and maintaining financial market stability. In the future, it is expected that the BOJ will continue to make prudent choices about whether to adjust its monetary policy considering the alterations in the economic situation, and the stability of the international financial markets, to achieve its policy objectives. The research in this paper provides new perspectives for understanding the complexity of yen rate hikes and helps subsequent researchers to understand yen rate hikes better.
RCEP: Both a Driving Force and a Source of Resistance
Authors: He Ai
Published: January 2025

Over the past decades, economic globalization has developed deeply, providing a strong impetus for world economic development, and RCEP has emerged in the Asia-Pacific region. This paper aims to explore the opportunities, and some potential problems faced by ASEAN countries in the context of the official entry into force of RCEP. It includes the positive impacts of investment and trade, regional integration development and scientific and technological progress of ASEAN countries under the radiation of RCEP's tariff preference and openness policy. It also explains the problem of low utilization of the rules of origin of RCEP due to its short development time and the influence of the international environment. By combining the driving forces and obstacles in the current development of RCEP, this paper also puts forward targeted strategic recommendations for how the Asia-Pacific region can realize sustainable development in this context. Taking multiple dimensions of trade, investment, regional cooperation and policy implementation under globalization as an entry point, the paper discusses in-depth the situation of ASEAN countries under the RCEP framework and provides an opportunity to reflect on the long-term vision for the development of RCEP in the future.
Applying Three Financial Analysis Methods in Investment: A Comparative Case Study
Authors: Liang Hongru
Published: January 2025

The three primary financial analysis techniques for real estate investment that are introduced and used in this study are Net Present Value , Internal Rate of Return , and payback period. The purpose is to demonstrate how these metrics help evaluate the profitability and efficiency of investment properties. Two residential flats were analysed over ten years using a case study approach. Cash flow models were developed to simulate rental income, maintenance costs, and taxes. The payback period indicated how long it would take to recoup the initial investment, the IRR evaluated each investment's efficiency, and the NPV calculated the present value of future cash flows. The results showed that while Flat 1 had a higher total return due to its larger value and rental income, Flat 2 provided more efficient returns with a lower initial cost. Both properties broke even after ten years, with Flat 2 offering a slightly higher IRR and better efficiency. This research highlights the limitations of these methods, such as NPVs assumption of a constant discount rate and IRRs overestimation of reinvestment rates. It contributes to real estate analysis by offering a structured framework for evaluating investment efficiency and profitability.
Evaluating CAPM: Strengths, Limitations, and Alternative Asset Pricing Models
Authors: Xiang Chengxuan
Published: January 2025

The Capital Asset Pricing Model (CAPM) has actually long been the basis of modern finance, supplying a structure to link risk and expected return. However, although its academic assumptions are sophisticated, they are ending up being more and more impractical in useful application. This leads to the development of different models, which are preferable for capturing the complexity of the real monetary market. This write-up initially talks about the advantages of CAPM, highlights its simplicity and fundamental function in portfolio management, and then explores its restrictions, such as unrealistic presumptions and key abnormalities such as failure to describe scale and value effects. These weak points motivate researchers and specialists to explore alternative models that can better record the intricacy of the real-world monetary market. For that reason, this paper assesses the primary option versions, including the Fama-French three-factor model, the Carhart four-factor model and the arbitrage pricing theory (APT). Although CAPM is still appropriate for basic risk-return evaluation, the multi-factor model offers a stronger framework for understanding asset pricing in intricate markets and aids to create wiser investment techniques.
Dynamic Interaction Between NASDAQ Composite Index and Korean Composite Index
Authors: Yu Fan
Published: January 2025

The interaction between global stock markets has significant implications for international capital flow, risk diversification, and currency exchange rates, and it also has a substantial impact on global economic growth. This paper aims to explore the dynamic interaction and mutual influence between the Korean Composite Index (KOSPI) and the Nasdaq Composite Index (IXIC) To provide guidance and assistance to investors and corporate decision makers. This paper uses data from Jan 4, 2022, to Dec 28, 2023. By constructing VAR model, KOSPI and IXIC are analyzed, and pulse analysis and variance decomposition are used for further analysis. According to the impulse response analysis, the influence of the IXIC on the KOSPI will last for four cycles. At the same time, it is found that the influence of the KOSPI on the IXIC will last for four cycles. The variance decomposition results show that the IXIC can explain 19.33% of the market change of the KOSPI, while the KOSPI can explain 6.38% of the market change of the Nasdaq index. This study focuses on the dynamic interaction between the KOSPI and NASDAQ, filling the gap in this area of research, and providing relevant views and ideas for investors and corporate decision makers around the world.
Trend and Suggestions of Boeing Company with Analysis
Authors: Wang Jiaqi
Published: January 2025

This research presents an in-depth examination of Boeings present situation, discussing the challenges it encounters under current circumstances and its strengths. The study employs the Value Chain model and SWOT analysis frameworks to thoroughly analyse Boeings strategic direction, integrating real-world examples and considering the influence of its competitors. By leveraging these analytical models, the research aims to provide a detailed understanding of Boeings operational and strategic positioning within the aerospace industry. The studys conclusion will draw upon the insights gained from the analysis to forecast the future trends of Boeings development. Recommendations will be provided, offering strategic guidance based on the analysed data. This comprehensive approach ensures a well-rounded view of Boeings potential trajectory in the competitive landscape, aiming to equip stakeholders with the necessary information to make informed decisions. Upon concluding the study, the results derived from the used analytical model will be thoroughly summarized. These findings will serve as a valuable reference for investors and stakeholders, offering insights that can inform their decision-making processes regarding Boeing's strategic and operational undertakings.
Comparative Analysis of Investment Opportunities in the Consumer Goods Industry: Procter & Gamble, Unilever, Colgate-Palmolive, and Kimberly-Clark
Authors: Chang Yizhang
Published: January 2025

The consumer goods industry is characterised by rapid innovation and fierce competition, driven by changing consumer choices, technological innovations, and a growing emphasis on sustainability. This study will evaluate the investment potential of four leading companies in this sectorProcter & Gamble, Unilever, Colgate-Palmolive, and Kimberly-Clarkby comparing their financial performance, market position, innovation capacity, and sustainability practices. The analysis uses a quantitative approach to examine key financial ratios, market trends, and Environmental, Social, and Governance performance, drawing on annual reports and ESG ratings. The findings reveal that while Procter & Gamble and Unilever demonstrate strong financial health, Unilever stands out for its robust commitment to sustainability. Despite excellent profitability, Colgate-Palmolive faces higher risks due to significant debt, and Kimberly-Clark, known for its hygiene products, struggles with cost pressures. Overall, Unilever is the most favourable investment opportunity, balancing innovation with sustainable growth. This research aids investor decision-making by comparing these companies thoroughly, illustrating how sustainability and innovation can foster long-term success in the ever-evolving consumer goods sector.
Analysis of Value Investments for the US Healthcare Companies for 2024 Using Financial Indicators and Ratio Analysis
Authors: Wang Yuanjing
Published: January 2025

Because of the significant increase in the average age of people worldwide and the COVID-19 pandemic, there has been a significant increase in attention towards the quickly expanding healthcare industry. Along with this, the investors have paid great attention to the rapid revenue growth that the healthcare industry has achieved. This article analyzes the financial performance of the mentioned four firms in detail, suggesting that Elevance Health Inc. is the most advisable investment choice. This is because of Elevance Health Inc.'s expected market profitability and overall operational efficiency, which may result in substantial returns for investors. At the same time, the company faces the risks of increasing expenses and margin compression, pressure to regulate premium rates, and a substantial decline in healthcare enrollment, all of which might negatively impact its business, financial health, and operational outcomes. Moreover, several external regulatory risks and fierce market competition could threaten market share, whereas financial risk must also be evaluated by Elevance Health Inc. to ensure effective operational management.
Tesla Financial Performance Forecast and Analysis
Authors: Bai Xing
Published: January 2025

This paper will give an analysis of Tesla Inc through preparing and presenting its financial performance for the year 2024 to 2028 through the guise of discussing the businesss innovation strategy and environment. Using data from Inside EVs, Tesla was found to dominate the current market share for EVs in the United States with an approximate market share of 55% while now beginning to feel the heat from new entrants as well as more traditional automakers. The sensitivity analysis takes into account important assumptions with regard to growth in revenues, employees remuneration, COGS, and capital outlay. The key variables like market growth within new areas, progress in the area of autonomous vehicles, and change in incentive policies contribute a great deal to the financial performance of Tesla. However, due to higher costs of raw materials and changing regulations affecting the profit margin within the next five years, those projections are expected to be revised upward due to high car sales and subscription software services, which are expected to have a revenue growth rate of about 30% as of the financial year ending in 2028. The research also identifies opportunities and threats such as economic instability, supply chain risks, and increasing competition. In the long run, it will be the capacity of Tesla to overcome these challenges and seize opportunities for the constant development of the automotive industry.
A Literature Study of Cashflow Management Across Industries
Authors: Tao Ruihan
Published: January 2025

With the continuous advancement of the global economy and technology, modern industries have diversified significantly, presenting a trend toward increasing complexity and variety. In this evolving landscape, cash flow management has become a critical aspect of enterprise operations, reflecting the diverse nature of industries, each with its unique business characteristics and operational models. This study conducts a thorough analysis of cash management patterns across three key sectorsretail, manufacturing, and energyby reviewing academic literature and examining industry data. The findings reveal that while these industries all face a surplus in cash flow, the underlying reasons for this surplus vary significantly due to their distinct business environments and operational frameworks. For instance, the retail industry may experience surpluses due to seasonal sales cycles, while manufacturing might accumulate cash from fluctuating production costs, and energy companies might benefit from long-term investment cycles. This study highlights the importance of understanding the specific factors driving cash management practices in different industries, offering insights into more effective financial strategies tailored to each sector's unique operational needs.
The Application of Evolutionary Game Theory in Economics
Authors: Xiao Xian
Published: January 2025

Evolutionary game theory originated with Fisher's work on sex ratios. Evolutionary stable strategy is the core of evolutionary game theory, which emphasizes the evolution process of strategy. The replication dynamic equation, which is closely related to it, describes the evolutionary stable state under the possibility of variation, and the Executive Support System (ESS) under different evolutionary paths can be solved through the fitness function and the Jacobian matrix. The most widely used selective mechanism dynamic equation in evolutionary game theory is the replicative dynamic equation proposed by Taylor and Zucker, which guarantees an evolutionary stable strategy as an evolutionary equilibrium, which will be the analytical technique used in this paper. Begin in 1980s, a lot of scientists bring evolutionary game theory into economics, which was used to analyze social institutional changes, market for stocks, and the current of industrial transformation. On the question of green credit, evolutionary game theory can give a relatively reasonable answer through analysis.
Research on the Sustainable Consumption and Production Goals and Strategies of UK Agriculture
Authors: Gong Shuwen , Tang Yuqing
Published: January 2025

The significance of the study of British agriculture is mainly reflected in the benefits brought about by the introduction of a policy as well as its management. Firstly, the UKs agricultural policy and management experience is of great significance to other countries, especially developing countries. Secondly, the UKs investment in agricultural education and training, as well as its technical support and guidance to farmers, has helped to improve farmers skills and knowledge, which in turn has improved the efficiency of agricultural production and the quality of agricultural products. This is an important inspiration for other countries to strengthen the training of agricultural personnel and improve agricultural production. Therefore, this film focuses on the economic, political and social aspects of the three problems and the current policies of the United Kingdom to solve them. We believe that subsidies are an effective policy to address market instability, such as inflation caused by Brexit; we find that the improvement of the pension system has played a significant role in the ageing of the UK population; at the same time, with both opportunities and challenges, the UK has opened up trade with China. These are all covered in the analysis and recommendations.
A Multivariate Linear Regression on Cost Analysis of Tesla
Authors: Wang Ziyu
Published: January 2025

This paper provides an in-depth cost analysis of Tesla Inc., focusing on the companys operational strategies and financial efficiencies through a multivariate linear regression model. Key cost drivers, including research and development (R&D) expenditures, Gigafactory capital investments, and supply chain resilience, are critically examined to understand Teslas ability to manage high production costs while maintaining its competitive edge in innovation. The study explores Tesla's unique approach to balancing aggressive expansion with financial sustainability, particularly in its efforts to scale production of electric vehicles (EVs) globally. Recommendations for improving cost control are also discussed, such as modular manufacturing processes, the use of green financing for capital projects, and supplier diversification to mitigate risks. Additionally, the paper highlights Teslas leadership in cost-efficient, sustainable practices and offers insights that could be adopted by other EV manufacturers. The findings underline Teslas financial sustainability and its role as a model for the broader EV industry, illustrating how strategic cost management can drive long-term success in the rapidly evolving clean energy sector.
Analysis of Problems and Solutions in the Digital Cryptocurrency Market
Authors: Guo Nan
Published: January 2025

Recently, the development of the digital cryptocurrency market has become increasingly mature, and its unique advantages and risks have also emerged. However, the shortcomings of the digital cryptocurrency market cannot be ignored. Regulatory issues are one of the problems. Global regulatory policies for the digital confidential currency market are not unified. Some countries have rigorous regulatory policies, while others have relatively relaxed regulations on this market. In this regard, unified policies and improved regulatory standards globally are necessary. Although the digital cryptocurrency market uses a virtual currency, its efficiency is not high, even lower than that of the ordinary market. To solve the problem of inefficiency, the market should improve information processing efficiency, and investors should also invest rationally. In addition, the security of the digital cryptocurrency market also needs to be strengthened. The digital currency market has been attacked by hackers many times. How to take protective measures is a huge challenge in managing the digital cryptocurrency market.
Problems and Solutions in China's Bond Market
Authors: Chen Jiayi
Published: January 2025

The bond market is an important part of China's financial system and plays an important role in corporate and government financing. It is necessary to develop a strong and efficient bond market as China keeps integrating into the global economy. However, the market faces some challenges that hinder its growth and efficiency. This paper studies the key problems of China's bond market, such as low liquidity of the bond market, the inconsistent regulation, the defects in credit risk management and the lack of diversity of investors. In order to solve these problems, several solutions have been proposed. First, strengthen the regulatory framework and strengthen market supervision and consistency. Second, improve market transparency and increase investors confidence and participation. Third, develop a more complex credit rating system to help investors manage risks more effectively, and ensure the sustainable growth of the market. Last, broaden the investor base and attract more diversified participants to invest in the bond market. These measures are crucial to ensure the sustainable development of China's bond market and its integration into the global financial system.
Bottlenecks and Optimization Strategies for the Development of China's Express Logistics Industry
Authors: Liu Zhanchong
Published: January 2025

This study focuses on the core issues faced by China's express logistics industry amid rapid development, specifically including regional development imbalances, low levels of equipment and information technology, and inadequate green governance mechanisms. Through in-depth analysis of the industry's current situation, this study finds that there are significant gaps in logistics infrastructure and service capabilities between the eastern coast and the central and western; insufficient equipment automation and digitization, limiting the industry's efficiency; the growing problem of express delivery packaging waste and the lack of a sound green governance mechanism. In response to these problems, this paper proposes a number of countermeasures, including strengthening infrastructure construction in the central and western regions as well as rural areas, promoting the informatization and digital transformation of logistics enterprises, improving green governance mechanisms and implementing recyclable packaging materials. The research results can provide reference and suggestions for the high-quality and sustainable development of China's express logistics industry and have certain practical significance.