bluuebunny/crossref_metadata_2025 huggingface dataset:
Energizing Inventory Management to Optimize Energy Consumption of Handling Shortages by Neutrosophic Fuzzy Trapezoidal Number
Authors:   Ph.D Research Scholar, PG and Research Department of Mathematics, Cauvery College for Women (Autonomous), Affiliated to Bharathidasan University, Tiruchirappalli-620018, Tamil Nadu, India., K. K. ,   Department of Mathematics, Chaitanya Bharathi Institute of Technology, Gandipet, Hyderabad – 500075, India,   PG and Research Department of Mathematics, Cauvery College for Women (Autonomous), Affiliated to Bharathidasan University, Tiruchirappalli-620018, Tamil Nadu, India; D. Sc (Mathematics) Researcher Fellow, Srinivas University, Surathkal, Mangaluru, Karnataka-574146, India,   Department of Mathematics, Siddaganga Institute of Technology, Tumakuru – 572103, Karnataka, India,   Department of Mathematics, BMS College of Engineering, Bengaluru – 560019, Karnataka, India., Kumari M. Santoshi , Kalaiarasi K. , J. Manjula G.. , Y. Shrivalli H..
Published: April 2024

Embarking on the exploration of integrating environmental sustainability principles and neutrosophic fuzzy theory in inventory management, this study aims to effectively tackle shortages. It underscores the vital balance between economic efficiency and ecological responsibility in contemporary inventory management practices. Neutrosophic fuzzy theory emerges as a robust tool for navigating the inherent uncertainties in inventory optimization, offering a versatile framework for modelling intricate problems. Strategies for optimizing resource consumption and minimizing waste generation within inventory management are scrutinized, emphasizing the imperative of harmonizing economic objectives with environmental concerns. Introducing a novel framework that melds neutrosophic fuzzy with environmental metrics, the research aims to optimize inventory management processes while mitigating environmental impacts. Furthermore, it delves into the challenges of managing energy consumption, advocating for innovative approaches to address fluctuating energy prices, data limitations, and evolving regulatory requirements. Neutrosophic sets are introduced for energy consumption analysis and cost evaluation, showcasing their efficacy in managing uncertainty and variability in real-world scenarios. The study concludes with a Python-based analysis of neutrosophic mean in energy consumption, offering insights into central tendencies and uncertainties associated with energy-related costs. Utilizing visualization techniques to enhance comprehension and decision-making in energy management, this research contributes to advancing inventory management practices by integrating environmental sustainability principles and sophisticated mathematical techniques, thereby fostering more resilient and sustainable supply chain operations.
Analysis of a Supply Chain using the Neutrosophic IOWA-VIKOR Method for Operational Sustainability
Authors:   Regional Autonomous University of the Andes (UNIANDES Tulcán). Ecuador., Tonguc Tonguc ,   Regional Autonomous University of the Andes (UNIANDES Puyo). Ecuador,   College of Business Administration, American University of the Middle East, 54200, Egaila, Kuwait,   College of Business Administration, American University of the Middle East, 54200, Egaila, Kuwait, .. Cynthıa Paulına C. Zúñ� , .. Roberto Carlos J. Mart� , Cagin Tonguc
Published: April 2024

In Ambato, the low availability of suppliers represents a significant challenge for business logistics, directly impacting operational efficiency, legal compliance, and competitiveness. This study aims to analyze the legal implications of business logistics in this region and propose strategies. The Neutrosophic Saaty AHP method was used for the development of the study, identifying the predominant challenge as the low availability of suppliers, which can lead to legal risks related to contract non-compliance and supply chain issues. To address this challenge, the strategy of promoting the formation of strategic alliances and diversifying supply sources was proposed using the Neutrosophic IOWA-VIKOR method. This allows for the evaluation of suppliers' ability to meet demand and company requirements. The study also highlights the need to address challenges, manage indeterminacies, and optimize logistics chain operations in Ambato's businesses. It concludes that the strategy of strategic alliances and supplier diversification is crucial for overcoming the low availability of suppliers in Ambato.
Neutrosophic Cognitive Maps for Mediation as a Conflict Resolution Method in Traffic Conflicts
Authors:   Regional Autonomous University of the Andes (UNIANDES Tulcán), Ecuador, Nasser Nasser ,   Regional Autonomous University of the Andes (UNIANDES Santo Domingo) , Ecuador,   Regional Autonomous University of the Andes (UNIANDES Quevedo), Ecuador,   College of Business Administration, American University of the Middle East, 54200, Egaila, Kuwait, Torres Leonso Torres , C. Jorge G. Del Pozo. , El-Kanj Nasser El
Published: April 2024

This study investigated the dynamics of interaction between key variables in traffic accident mediation and how the inherent indeterminacy in these interactions influences the outcomes of mediation. Neutrosophic Cognitive Maps and neutrosophic logic were used to model and quantify the centrality and influence of such variables. The results highlighted the importance of negotiation strategies and emotional management as factors of high centrality in the mediation process. Based on these findings, the implementation of targeted training programs and the adoption of advanced analytical tools to improve mediation practices were recommended. The study underscores the need for a multidimensional approach that considers the complexity and uncertainty in mediator training, supporting efficiency and effectiveness in resolving traffic disputes.
International Law and Institutions in Helping Resolve Tensions between Great Powers
Authors: Zhang Wenqi , Tang Xiaoni , Chen Sophia , Liu Wenchang , Le Jinhong
Published: April 2024

This paper aims to provide a variety of methods to help solve tensions between great powers by using international law and institutions. It is widely acknowledged that many global tensions between great powers will significantly influence the whole world and must be solved instantly. We still know little about resolving tensions by using international law and institutions. By analyzing current global events and the functions of international institutions like the WTO and the UN Security Council, the paper points out the flaws in international organizations and the need for improvements. The article also views the significance of states as a middle power to resolve tensions. This paper presents an important message that there are plenty of weaknesses in the international system; the conflicts between great power would be dealt with more efficiently and effectively if international institutions and international law made some refinements.
An Analysis of the Impact of COVID-19 Pandemic on Regional Inequality in China
Authors: Du Qian
Published: April 2024

The aim of this paper is to examine the phenomenon of regional inequality in China under the broad context of the COVID-19 pandemic and also the post-pandemic time period. To diversify the sample, nine years of raw data (2013-2021) are included in this paper. Using the annual data from this time period, a 5-year calculation of the Gini coefficient from 2017 to 2021, will be calculated. To calculate, the Cumulative Change Model, the Lorenz Curve Framework, and the Cutting Method are applied. The raw data is first applied in the cumulative change equation; by graphing the results, the Lorenz Curve can be framed, which then can be used to calculate the Gini coefficient. The conclusion is that the COVID-19 pandemic further exacerbated the situation of regional inequality, as shown by an increase in the Gini coefficient.
Exploring the Cause and Impact of the Wealth Disparity in Chinese Society
Authors: Liu Jinjiang
Published: April 2024

China has experienced a persistent Gini coefficient above 0.4 since the 1990s, indicating a significant wealth disparity. The widening wealth disparity has had profound societal implications, necessitating a comprehensive examination of this issue to identify strategies for narrowing the divide. This study aims to analyze the significance of income inequality and provide a detailed description of its phenomenon and characteristics using metrics such as the Gini coefficient and per capita disposable income. Additionally, employing the PESTEL model, this paper identifies five key factorspolicy, economic system, regional development disparities, education, and legal systemthat contribute to the Wealth disparity. Furthermore, the study explores both the positive and negative effects of income inequality on society. While a moderate Wealth disparity can enhance worker motivation, an excessive disparity jeopardizes social stability.
The Impact of Equity Incentives on Corporate Governance and Performance
Authors: Li Qingxuan
Published: April 2024

As the modern enterprise system undergoes ongoing enhancements, equity incentives have evolved into a crucial motivational mechanism within companies. Nevertheless, the execution of equity incentives is not devoid of contentious issues. Some research indicates that the introduction of equity incentives can foster enhancements in corporate governance and overall performance. However, other studies contend that such incentives may also introduce adverse effects. This paper analyzes the positive impacts of equity incentives from three dimensions: corporate performance, corporate governance, and corporate business investment, and presents the problems of the equity incentive system. The findings suggest that equity incentives yield favorable effects on both corporate governance and performance. The significance of this research stems from its profound exploration into the repercussions of equity incentives on corporate governance and performance, offering substantial practical relevance. Moreover, it serves as a theoretical foundation, aiding enterprises in the development of well-founded and rational equity incentive programs.
Paradigm Shift: International Taxations Move from Double Taxation Remedies to the Battle Against Aggressive Tax Planning
Authors: Li Qiuyi
Published: April 2024

The globalization of the economy has sparked a tax competition among nations, leveraging low tax rates to attract investments and inadvertently fostering international tax avoidance and transfer pricing. This dynamic, intensified by the digital economy's ascent, has inflicted economic losses on both resident and source countries. The conventional "permanent establishment" criterion, now rendered obsolete by online business operations, facilitates tax evasion by international corporations. Recognizing the urgency for change, the international tax system has shifted focus from eliminating double taxation to confronting aggressive tax planning. This essay critically analyzes this paradigm shift, primarily emphasizing the move from preventing double taxation to avoiding double non-taxation. Two pivotal considerations drive this transformation: equitable sharing of benefits from multinational corporations among involved countries and collaborative efforts to prevent dual taxation. Delving into Tax Challenges Arising from the Digitalization of the Economy, including Global Anti-Base Erosion Model Rules (Pillar Two) and the OECD/G20 Inclusive Framework on BEPS, the essay examines causes and consequences of double taxation and scrutinizes reasons and repercussions of double non-taxation resulting from aggressive planning. The analysis unveils the main elements and impacts of the international tax system reform, shedding light on both its strengths and shortcomings. This essay provides a concise yet comprehensive understanding of the evolving global economic landscape and the imperative changes in international taxation, offering insights into the critical nuances of the reformed framework.
A Review on the History and Development Direction of Quantitative Finance
Authors: Yang Jinhao
Published: April 2024

This paper aims to systematically study and discuss the history of quantitative finance based on the literature review of various important theories in the field of quantitative finance and their review articles. Each theory's advantages, disadvantages, and historical significance are meticulously expounded upon. Following a comparative analysis of quantitative finance theories across different periods, the paper categorizes the historical development into the budding period, the axis period, and the differentiation period. The subsequent section synthesizes common false assumptions within quantitative finance theory, overlooking issues such as extreme cases and over-fitting, and proffers pertinent suggestions for refinement. Looking ahead, the paper anticipates the future trajectory of quantitative finance, asserting that artificial intelligence technology is poised to catalyze breakthroughs in quantitative finance methodologies. Furthermore, it concludes by emphasizing the burgeoning importance of sustainable development strategies within the quantitative finance domain, foreseeing increased attention and integration of these strategies for the field's enduring prosperity.
Digital Transformation in the Financial Sector Through Fintech
Authors: Qiang Xinyue
Published: April 2024

This paper delves into the interplay among risk management, regulatory frameworks, and the dynamic FinTech landscape, encompassing key innovations like peer-to-peer lending, blockchain, robo advisors, and online payments. Its objective is to furnish a nuanced understanding of the inherent risks in significant FinTech breakthroughs and the ensuing regulatory implications. Acting as a guide for policymakers and industry stakeholders, the paper underscores the need for an informed approach to balance the revolutionary potential of FinTech with the imperatives of financial stability and consumer protection. By advocating for proactive measures, including the formulation and implementation of robust risk management plans, the paper aims to equip decision-makers with the tools to navigate the complexities of FinTech responsibly. The proposed strategies, rooted in a deep comprehension of risks posed by diverse FinTech innovations, are vital for shaping regulatory frameworks that facilitate innovation while ensuring stability. This collaborative approach seeks to construct an environment conducive to FinTech advancements, fostering sustained growth, innovation, and the resilience of financial systems, all within the framework of prioritizing consumer welfare.
A Financial Analysis of Capital Structure Based on HUAWEI
Authors: Xu Zihan
Published: April 2024

This article investigates the optimization of asset structures across industries, using Huawei's asset composition as a paradigm. Through a detailed analysis employing metrics like debt ratio and equity multiplier, this paper aims to distill insights guiding companies in crafting optimal asset structures. Huawei's asset framework is scrutinized for valuable benchmarks, offering universal strategies or industry-tailored adaptations. By dissecting key financial indicators, it intends to unravel patterns indicative of financial health and efficiency in resource utilization. The focus on debt ratio and equity multiplier serves as a holistic approach, applicable across diverse sectors. Beyond Huawei's example, the article considers the variances among companies in different industries, proposing customized strategies to establish the most suitable asset structures. The objective is to provide practical recommendations for companies, akin to Huawei, navigating industry-specific challenges and financial goals. This article transcends a singular case study, evolving into a comprehensive guide for businesses seeking to strike an optimal balance in their asset composition, fostering adaptability across diverse industry landscapes.
Research on the Optimization Strategy of Chinese Concept Stock Investment Portfolio under Multiple Constraints Based on Markowitz and Index Model
Authors: Yu Ruotian
Published: April 2024

This study analyses the strategic allocation of investment portfolios of Chinese concept stocks in the USS market, emphasizing the importance of these assets in global finance. It evaluates their historical performance and optimisation potential under different market constraints, using the Markowitz and Index Models as analytical frameworks. The research examines ten different Chinese stocks' data from the past decade to identify the best investment strategies in a sector that is inherently volatile and has growth potential. The analysis highlights the different risk-return profiles of the stocks, their independence by sector, and correlation dynamics. This provides a detailed plan for diversifying investments. The study demonstrates that Chinese concept stocks are relatively independent of the USS market and that both models provide solid risk-adjusted returns for the 10 Chinese concept stocks, even when the weighting of the market indexes is excluded. These findings enhance the theoretical discourse on portfolio optimization and offer actionable insights for investors navigating the complexities of international markets, particularly the nuanced Chinese concept stocks in the US. These insights are important for comprehending the integration and innovation in financial markets, particularly in light of China's increasing global economic influence.
Comparative Analysis of Markowitz Model and Sharpes Index Model: An Empirical Study on Singaporean Stock Market
Authors: Jia Shudi
Published: April 2024

In this paper, the researcher uses the Markowitz model and Sharpes index model, two commonly used models in investment, to analyze the Singaporean stock market. The researcher selected 10 years of daily stock prices of 10 companies listed on the Singapore Stock Exchange, including Z74.SI, DBS, UOB, G07.SI, S68.SI, Flex, KLIC, V03.SI, U96.SI, and C07.SI. The Singapore Traits Index (STI) and the federal funds rate are included, respectively, as the market index and risk-free rate of return to simulate real-world diversified investment products better. Following data aggregation and processing, the researcher calculates the minimal variances and maximum Sharpe ratios by adjusting the weights of each stock within the portfolio separately under five constraints based on Markowitz and Sharpes index models. In addition, the researcher uses the Solver Table in Excel to calculate the minimum variance frontiers, maximum return frontiers, and minimum return frontiers under each constraint and visualizes all frontiers in scatter diagrams. Lastly, based on the calculations and diagrams, the researcher proposes recommendations for prospective investors looking for investment opportunities in Singapores stock market.
Predictive Analysis of Tesla Inc. Stock with Machine Learning
Authors: Jiang Zhicheng
Published: April 2024

Tesla currently stands among the world's most prominent corporations, especially in the development of new energy sources and the automotive industry. With the company's growth rising, the value of its stock has become a major focus for investors. There are many ways to predict stock prices, but most of them are more subjective and based on personal experience, so the value of the reference is not great and varies from person to person. Therefore, this paper aims to investigate whether it is possible to analyze the price trend of Tesla's stock from the perspective of data through machine learning. The research will examine the stock price of Tesla based on the ARIMA-LSTM combined model prediction method to determine if this method can be applied to predict the stock price trend of Tesla and similar technology companies. Finally, after testing Tesla's stock data in 2019, it can be concluded that the machine learning prediction method based on the ARIMA-LSTM combination model is highly accurate and can be used to predict the future stock price trends of similar companies.
The Influence of Xiaohongshu on Female Consumer s Choices
Authors: Liu Yanxin
Published: April 2024

Xiaohongshu, a rising lifestyle-sharing platform, has garnered significant popularity among femal. Despite recent controversies over false traffic, it remains a pivotal influence on femals shopping decisions. This study aims to explore why Xiaohongshu continues to be influential in the consumer decisions of femal after false traffic. This paper used a case study to analyze a survey of 200 femal from diverse backgrounds to understand their methods of gathering shopping information and making purchase decisions on social platforms, focusing on Xiaohongshu's unique attributes. First, the study reveals that enhanced, deceptive content on the platform frequently persuades women, suggesting a need for improved information authenticity, consumer education, and self-regulation in advertising. Secondly, digital influencers and trends heavily influence the platform's young audience, highlighting the importance of encouraging influencers to share genuine experiences over mere advertising. Lastly, the natural trust engendered by word of mouth (WOM) and user-generated content (UGC), critical features of Xiaohongshu, underscores the platform's strategy to bolster UGC and WOM credibility. In conclusion, Xiaohongshu plays a crucial role in the shopping decisions of contemporary female consumers, underscoring its significance in the social media landscape.
The Impact of Industrial Upgrading and Integration on the Development of Poor Areas: Based on the Survival Analysis of 76 National-level Poor Counties in China
Authors: Liu Shikang
Published: April 2024

In 2020, China achieved phased victories in poverty alleviation, bringing valuable successful experience to the world's poverty alleviation cause. Most prior research on recidivism and poverty alleviation in disadvantaged areas has either explored a small number of cases or concentrated exclusively on individual factors within poor households, failing to sufficiently account for regional variations. But historically, the majority of research on industrial integration and upgrading was focused on larger economies, giving impoverished regions little consideration. This paper randomly selects 76 poverty-stricken counties from 832 national poverty-stricken counties in China, and makes a quantitative analysis of their successful experience from the perspective of industrial upgrading and industrial integration. The study's findings deviate from earlier studies in that they show that industrial upgrading has a limited effect on the development of impoverished regions and that sophisticated industrial structure has a significantly smaller influence in poor areas than it does in areas with greater levels of development. This study also reveals that the development of impoverished areas is impacted differently by the integration of various businesses. The secondary industry, which has a higher degree of integration with the primary industry, plays a stronger role in promoting regional development, while the tertiary industry, which has a long development cycle and many conditions, plays a lesser role in regional development.
Multi-factor Models in Finance
Authors: Liang Guyi
Published: April 2024

This literature review explores the significance of multi-factor models in finance, emphasizing their dynamic nature and pivotal role in understanding global market patterns. The multi-factor framework, adept at capturing the complexities of asset pricing, incorporates various variables, enabling a comprehensive analysis of relationships impacting market conditions. The Fama-French Three-Factor Model, an influential extension of traditional models, introduces size and value components, enriching the understanding of asset valuations. Assumptions underpinning multi-factor models, such as market efficiency and rational investor behavior, form essential foundations. Despite their advantages, these models face challenges, including the risk of overfitting and the complexity of incorporating numerous variables. The study underscores the need to recognize these limitations while appreciating the models' contributions to portfolio management and risk assessment, ultimately contributing to the ongoing evolution of financial analysis.
Risk and Incentive Analysis on Valuation Adjustment Mechanism: The Mergers and Acquisitions of A-Shares During 2018-2022
Authors: Lin Peidong
Published: April 2024

This paper examines the Value Adjustment Mechanism (VAM) for A-shares that announced Mergers and Acquisitions (M&As) during 2018-2022. It explores the relationship between the promised profit and the compensation method in the commitment agreement. The results suggest an inverted U-shape relationship, meaning that an appropriate increase in the growth rate of the target company can motivate management to achieve better performance. However, the incentive effect of this commitment performance declines after achieving an optimal level. When comparing to cash compensation, the incentive effect of equity compensation is more profound. In addition, it shows that low carbon efficient M&A has a higher opportunity achieving better performance commitments than its peers. However, due to presence of information asymmetry, earnings management, and related transactions between M&A, the inherent risk can reduce the incentive of the promised commitment. Consequently, the promised performance target might deviate from rational expectation.
The Role of Interconnectedness in the Financial Contagion of the Interbank of Germany in 2007
Authors: Sha Yilin
Published: April 2024

The collapse of the US housing market, which had cascading effects and spread to interbank lending markets, was what sparked the German financial crisis in late 2007. In light of this, the purpose of this paper is to investigate how interconnection influenced interbank financial contagion in 2007. This paper followed the methodology of first outlining the case study, covering the causes and effects of the financial crisis, and then assessing the effects of interconnection on the contagion process; finally, recommendations for future policymakers were developed and evaluated. The main conclusion was that interconnectedness makes it easier for systemic risks and liquidity shortages to happen in financial institutions. To make banks more resilient to shocks, the solutions were to lower the concentration of the banking sector and raise bank equity and transparency. The primary objective of this study was to validate the function of interconnectedness and networks in establishing a transmission channel for contagion, as well as to give recommendations to policymakers on potential future regulatory policies and actions.
Information Asymmetry and Firm-level Cash Holdings During COVID-19 Pandemic PeriodAn Analysis Based on Chinese Listed Companies
Authors: Tian Yezhaoyang
Published: April 2024

Since the COVID-19 occurs from 2020, global economy has a tremendes shrinking in amount and sphere, which brings business objects uncertain financial turbulence. Hence, corporate cash holdings are a concern by managers and investors as it represents the survival ability of companies. This study investigates information asymmetry and corporate cash holdings during COVID-19 pandemic period. After analyzing on large Chinese lised companies sample, we test two opposing hypotheses. According to free cash flow theory, cash flow declines further as the level of information asymmetry rises. However, considering profound event, companies may increase cash holdings for precautionary motive during a long time. As a result, using the difference-in-difference method, this paper finds a positive relationship between information asymmetry and cash holdings, while COVID-19 hurts cash holdings for Chinese listed companies. The robustness test also gains similar results. Overall, the results may support the agency theory and precautionary motives for holding cash.
The Impact of the Russia-Ukraine Conflict Situation on Chinas Energy Industry
Authors: Li Ruoqi
Published: April 2024

The Russia-Ukraine conflict has triggered a global energy crisis, which has brought extensive and profound impacts on Chinas energy development. This paper analyzes the impact of the Russia-Ukraine conflict on Chinas energy industry, discussing the changes in the international crude oil and natural gas markets, the global energy restructuring, and the acceleration of energy transformation. In response to the energy market volatility that may be brought about by the conflict, the paper proposes strategies for China to cope with it, including diversifying energy supply, strengthening geopolitical risk management, and building an energy community. In addition, the paper analyzes Russias position in the international energy market and focuses on the impact of Chinas crude oil and natural gas import costs, the stability of the energy supply chain, and Sino-Russian energy cooperation and investment. Finally, the paper emphasizes the importance of accelerating energy green and low-carbon transformation and building energy communities, providing ideas for the sustainable development of Chinas energy sector. This paper figures out that Chinas energy industry should adopt a more flexible and resilient approach to respond to unforeseen circumstances such as the Russia-Ukraine conflict.
Analysis of the Korea's Trade Deficit with China in 2023
Authors: Zhang Xiaoyu
Published: April 2024

The establishment of diplomatic ties between China and South Korea dates back to 1992, marking over three decades of bilateral relations. The bilateral trade has generated fruitful outcomes between the two nations. In the background of the accelerated evolution of century-old transformations, profound changes are occurring in the global and regional economic landscape. During the post-epidemic period, China-South Korea economic and trade cooperation encounters numerous challenges, including structural adjustment and restructuring of industrial chains and supply chains. This paper based on the analysis of Sino-South Korea trade data by the Ministry of Commerce of China. Firstly, this paper introduced the "Trade Integration Index" to measure the level of trade interdependence between China and South Korea, revealing a significant degree of mutual reliance in their trade relationship. However, South Korea exhibits a higher degree of economic interdependence with China and relies heavily on trade. In recent years, the trade complementarity between China and South Korea has diminished while competition has intensified. By examining the global trade system, this paper conducted a comparative analysis of South Korea's import and export partners, revealing a significant reliance on China. Based on this, this paper puts forward some suggestions on Korea's trade deficit.
Application of Trade-off Theory in Real-Life Corporate Capital Structure Adjustments
Authors: Qin Jingran
Published: April 2024

Trade-off theory is one of the important theories for firms to adjust their capital structure. However, there is still controversy about its applicability in reality. This paper focuses on exploring its practicality by analysing the literature and after examining the literature on commercial banks in Bangladesh, it is found that the impact of different financial indicators of these banks on the changes in their capital structure is consistent with the assumptions of the trade-off theory, and it is reasonably argued that the reason why firms in reality tend to use debt financing can be explained by the fact that firms are trying to gain the advantage of the tax shield. The paper also analyses the change in firm value of firms with different debt levels about the September 11 terrorist attacks in the United States and demonstrates that firms with high debt levels experience a decline in firm value as their probability of bankruptcy increases, which is consistent with the trade-off theory. In addition, while the traditional view is that the trade-off theory can only explain why firms with higher profitability have high debt ratios, this paper argues that the theory can also explain why firms with high profitability have low debt ratios. Therefore, this paper proposes a reasonable explanation for the utility of the trade-off theory.
Analysis of the Impact of China's Monetary Policy on the Real Estate Market in the Post-epidemic Era
Authors: Qin Zhen
Published: April 2024

Monetary policy is an effective measure for the government to intervene in the real estate market. The ups and downs of China's real estate market in recent decades cannot be separated from the influence of monetary policy. After COVID-19 ended, the country's focus returned to economic reconstruction, and the real estate industry, as one of the pillar industries of the national economy, has attracted more attention from policymakers. Various policy combinations for the real estate industry, including monetary policy, have been introduced, and have achieved some results so far, but the final effect remains to be seen. This paper examines the effects of various national monetary policies on China's real estate market. A series of latest real estate policies have been implemented, both sides of supply and demand are expected to reverse, and the real estate market can be improved. In the medium and long term, the improvement demand has a broad prospect, and there is still a large room for development in the future. The study of real estate policy theory is of great significance to the sustained and healthy development of real estate enterprises and also plays an important role in China's economic construction and development. Real estate enterprises need to deeply understand the policy, and make scientific and reasonable planning, to promote the stable and sustainable development of real estate enterprises.
Financial Analysis and Valuation of Texas Instruments
Authors: Shen Xinrui , Wang Changzhi
Published: April 2024

This paper conducts an in-depth analysis of Texas Instruments' recent performance in the semiconductor industry, positioning it as a standout performer against competitors like Intel Corporation, Advanced Micro Devices, Broadcom, and Qualcomm. The study emphasizes Texas Instruments' comprehensive understanding of chip manufacturing, encompassing an examination of the industry's current landscape, recent company events, and interpretations of annual report statements. Financial statement comparisons are employed to calculate critical metrics such as liquidity ratio, solvency ratio, profitability ratio, investment ratio, and P/E ratio. Beyond quantitative metrics, the analysis extends to a thorough exploration of risk factors, spanning from internal intricacies to broader industry trends. These risk factors are systematically detailed, providing investors with a nuanced perspective for informed decision-making. The paper culminates in offering concrete and strategic investment suggestions based on the amalgamation of quantitative data and qualitative insights. This holistic approach equips stakeholders with a comprehensive understanding of Texas Instruments' standing in the semiconductor market, facilitating well-informed investment decisions in the dynamic and competitive industry landscape.
Analysis of Macro-economic Operation Situation and Fiscal and Tax Policy Orientation in the Post-epidemic Era
Authors: Wu Yue
Published: April 2024

The COVID-19 pandemic has had a profound and lasting impact on the global economy and society. With the epidemic gradually under control, the international community has entered the post-epidemic era, and countries have begun to adjust the fiscal and monetary policies implemented since the spread of the epidemic to deal with the "side effects" caused by economic policies on society. In the post-epidemic era, China has entered a new stage of high-quality development, and the economy is basically improving. While adhering to the general direction of supply-side structural reform, the government has actively adjusted fiscal and monetary policies to stimulate the growth of effective demand. In response to the prominent contradictions in China's economic environment after the epidemic, the central government has introduced targeted policies and made structural adjustments to help orderly recovery and coordinated development of various industries. Through policy efforts to reduce the cost of input factors, improve production efficiency, encourage the cultivation of enterprise innovation ability, so as to integrate the advantageous resources of all walks of life, effectively improve the core competitiveness of products and services in the market. Looking forward to the future, China's institutional advantages are significant, the economy is large, the industrial system is complete, the market size is broad, the ability to resist risks is strong, economic development has huge potential, room for resilience.
Research on Risk Management of Financial Derivatives in Chinese Commercial Banks
Authors: Yan Chengyu
Published: April 2024

Financial derivatives play an important role in modern financial markets, and they are widely used in a variety of financial activities, including risk management, investment, and asset pricing. However, with the continuous expansion and increasing complexity of the financial derivatives market, the associated risks are increasing, especially for financial institutions such as Chinese commercial banks. Therefore, the study of risk management in this area has become crucial since it involves the stability of the financial system as well as the security of the national economy. This paper examines the risk management of financial derivatives in Chinese commercial banks and concludes that there are legal, operational, liquidity, credit, and market risks associated with financial derivatives in commercial banks. In order to avoid these risks, Chinese commercial banks should reasonably and clearly limit the authority of traders and establish an effective constraint mechanism. At the same time, a system should be developed to disclose risk information on a large scale, thereby further enhancing the credit monitoring of the financial market and continuously improving the laws and regulations in favor of management.
The Interaction Between Greenwashing and Chinese ESG Investors: Analyzing from the Perspectives of Credibility and Investment Decision-making
Authors: Gao Xin
Published: April 2024

Environmental, Social, and Governance (ESG) investing involves considering environmental, social, and governance factors to make socially responsible investment decisions that align with ethical and sustainable values. The widespread adoption of ESG has stimulated academic research in this field, primarily focusing on North America and Europe. However, in the current development of ESG investment in China, "greenwashing" has attracted widespread attention and awaits effective resolution. Greenwashing is the deceptive practice of conveying a false impression or exaggerating a company's commitment to environmental and social responsibility to appear more environmentally friendly than it is. Therefore, this study employs a literature analysis approach to study the interaction between greenwashing and Chinese ESG investors. The primary finding indicates that diverse forms of greenwashing by companies can influence investors' decisions and ESG ratings. This study outlines three key resolution strategies: centralized environmental monitoring policies, companies streamlining management and financial costs, and institutional investors conducting on-site inspections.
Financial Analysis and Valuation on Dollar Tree
Authors: Sun Fanchen
Published: April 2024

This paper analyzes the American leading retailer company Dollar Tree in the role of its overall recent investment value. In illustrating the companys change of financial operation plans and profit projections in response to the alternation of the market, this study evaluates accounting analysis, performance, and strategic modules. Its recognition of revenue, lease accounting, goodwill, liquidity, solvency, profitability, investment, and risks incorporated with data calculated from official annual reports in comparison to its several peers as well as competitor companies in the same retail industry are demonstrated to argue for the accessible marketing investment and economic nature of Dollar Tree in detail. By specifying the data, the study provides a comprehensive resolution for strength and opportunity reasons to Dollar Trees sustainable growth from past to current and future investing feasibilities out of its weaknesses and risks. In conclusion, this research furnishes valuable insights into Dollar Tree's financial landscape, offering a robust foundation for informed decision-making and strategic planning in the dynamic retail market.
Analysis of the Migration Impact on International Trade in Singapore since 1960
Authors: Yang Bohan
Published: April 2024

Both net migration and the volume of international trade in Singapore had a substantial increase during a certain era, suggesting a potential correlation between the two. This research seeks to investigate and assess the correlation between foreign commerce and migration in Singapore from 1960 onwards. The study used a mixed-method approach, integrating correlation analysis and an extensive document review to obtain significant insights into this intricate relationship. The study has identified a significant positive association between various crucial parameters in Singapore, such as the value of international commerce, the proportion of GDP derived from trade, the adoption of favorable policies, and migration trends. The research highlights the significant relationship between the value of international trade and migration, emphasizing the role of global economic integration in influencing migration flows and patterns. The statement underscores the importance of implementing advantageous policies to attract talented persons and investors, hence fostering Singapore's economic progress and advancement. The findings also emphasize the role of international trade in promoting economic growth and creating favorable conditions for immigration, which in turn affects the demographic composition of the nation.
Research on the Application of Fair Value in the Chinese Market
Authors: Wang Yibo
Published: April 2024

With the rapid development of the world economy, the role of fair value is becoming more and more important. The Ministry of Finance of the People's Republic of China has promulgated relevant accounting standards since 2006, and the re-introduction of fair value is particularly eye-catching. This shows that fair value has been continuously used in China, and the relevant accounting standards and accounting systems have been continuously supplemented and improved since then. This move raises the importance of fair value even further. Using the literature analysis method, this paper will deeply explore the impact of fair value on the Chinese market from multiple perspectives such as Chinese and international research and application value. This paper finds that there are some problems in China's economic market, such as the unclear definition of the concept of fair value, the imperfection of market conditions, and the inadequacy of supervision and restraint mechanisms. Finally, in view of the problems existing in the application of fair value in China's economic market, this paper proposes to implement unified and clear measurement standards, improve the market mechanism of fair value measurement, and strengthen the supervision of the market and enterprises.
The Reasons for the Increase in BYD's Sales
Authors: Yu Hang
Published: April 2024

Established in 1995, BYD is a firm that specializes in the manufacturing and marketing of new energy vehicles. Between 2021 and 2023, BYD had a gradual growth in sales of new energy cars, ultimately achieving the top position in the market. The objective of this study was to investigate the factors behind the consistent growth in sales of BYD's new energy vehicles over the past three years, resulting in its surpassing Tesla, the leading traditional tram manufacturer, and becoming the top seller in China. This article examines the sales statistics and marketing mix theory of 4Ps to select models from BYD and Tesla during the previous three years, using BYD as a case study. Ultimately, the key to BYD's sales success resides in its distinctive product style, consistent pricing, and effective sales strategies. The recommendations provided in the book propose that BYD should integrate standardization and localization, use customary pricing tactics, and reinforce promotional strategies. This study is advantageous for BYD to broaden its international markets and may also function as a valuable reference for other new energy vehicle firms.
Feasible Strategy Analysis of BYDs Portfolio Optimization Based on Markowitz Model under the Dual Carbon Goal
Authors: Zhang Ze
Published: April 2024

Since the worlds resources are running out due to global economic integration, low-carbon environmental protection and sustainable development are now the main forces behind global development and the unavoidable energy transformation process. China has publicly announced its double carbon strategic goals in the international community and has released macro measures to aid the growth of new energy enterprises. Against this background, BYD, as a benchmark in Chinas new energy vehicle industry, developing an investment strategy that minimizes investment risk is essential. This paper starts by constructing the listed company stocks suitable for BYD, and from the perspective of quantitative investment, establish the model and build the efficient frontier of the investment portfolio based on the Markowitz model, and obtain the minimum risk portfolio and the maximum Sharpe ratio combination to provide feasible and scientific quantitative investment advice for BYD. The company is still in its early stages of development. In terms of risk distribution, quantitative portfolio investment is just as sustainable as new energy and offers BYD a steady, systematic, and strategic profit model for the companys long-term growth.
Apples Marketing Strategy in China and Its Enlightenment to the Electronic Industry
Authors: Xu Lingjie
Published: April 2024

In recent years, the electronic market in China has gone through a process of rapid development and recession. However, while many manufacturers are shutting down, Apple company from America is growing fast. Since its official entry into the Chinese market, Apple has been continuously bought by Chinese consumers. Achieving such a result is not only related to the quality, technology, innovation and users experiences of their products, but also closely related to Apples innovative marketing strategies. This paper mainly analyzes Apple's marketing strategy in China and its implications for the electronics industry by using the method of literature analysis and review. The purpose of it is to analyze the development status of Chinas electronic industry and the development prospects of Apple. Related papers published by predecessors would be used to help understand the changing strategies and the connection between them and the whole electronic industry. In addition, data and figures would also be used to support the result. According to the findings, it is clear that Apples marketing strategies are methodical and manageable although they do have some problems.. In view of these problems, this paper puts forward some suggestions on accelerating technological innovation and perfecting the systems.