Advances in Economics, Management and Political Sciences

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Volume Info.

  • Title

    Proceedings of the 2nd International Conference on Financial Technology and Business Analysis

    Conference Date

    2023-11-08

    Website

    https://2023.icftba.org/

    Notes

     

    ISBN

    978-1-83558-505-4 (Print)

    978-1-83558-506-1 (Online)

    Published Date

    2024-07-02

    Editors

    Javier Cifuentes-Faura, University of Murcia

Articles

  • Open Access | Article 2024-07-02 Doi: 10.54254/2754-1169/97/20231613

    The Relationship Between Diversification Strategies and Corporate Financial Performance: Taking Gree Group as an Example

    Diversification strategy is a common and important method for enterprises to expand business scope, effectively use resources, and improve economic benefits. However, not all companies that have adopted a diversified strategy will be successful. There are still some controversies about the relationship between diversification strategy and firm performance. Based on summarizing the diversification theory, this paper evaluates the performance of Gree Group under the diversification strategy through financial indicators, Tobin's Q value, and share of revenue. We draw a conclusion that Gree's current diversification strategy is not suitable for the future development of the enterprise and provide suggestions about the adjustment of Gree’s diversification strategy.

  • Open Access | Article 2024-07-02 Doi: 10.54254/2754-1169/97/20231566

    Comparing the New Media Marketing Models with the Traditional Marketing Models

    Marketing has always been one of the most important keys to business success. With the development of society, market competition is becoming more and fiercer, and enterprises have deeper requirements for marketing. The traditional marketing model has been unable to satisfied all the demands of enterprises. The rapid development of new media in recent years has also given birth to a series of new marketing models. This paper mainly analyzes and compares two marketing models, the traditional marketing model and the new marketing model, and draws a conclusion that the new marketing model is more effective. This new marketing model is more helpful to help enterprises achieve the ideal sales target, and is also more effective for far-reaching development of companies' brands. This paper can help people clearly understand the differences between these two marketing models.

  • Open Access | Article 2024-07-02 Doi: 10.54254/2754-1169/97/20231622

    Environmental Analysis and Management Suggestions of Starbucks Based on SWOT Model

    We analyzed the advantages and disadvantages of Starbucks environmental scanning. Its advantage is the high quality of the product, and the third aspect is the strong sense of experience, the advantage of social media, and localized marketing. The disadvantages are high product positioning, fast store opening, and the pressure of financial chain management and supply chain management. However, in our survey, we also identified opportunities to expand online sales and mobile payments to maximize benefits in today's globalized world. However, despite Starbucks' growth prospects, its position is now precarious due to low coffee acceptance and threats from coffee brands such as Lucky Coffee. According to the analysis, Starbucks can improve its current weakness by strengthening its market power, expanding its strategy, differentiating its strategy, and adopting a reasonable and flexible pricing system.

  • Open Access | Article 2024-07-02 Doi: 10.54254/2754-1169/97/20231516

    Predictive Analytics Techniques in Consumer Behaviour: A Literature Review

    Under fierce market competition, there is a need for enterprises to analyze and predict the behavior of consumers in order to improve the market competitiveness. We find that in the previous literature, there is little specific systematic summary and research on the methods to predict customer behavior. Thus, in this paper, we discuss relevant concepts of customer behavior and predict consumer behavior by studying the operation mechanism of Big Data Analysis (BDA), Decision Tree (DT) and Consumer Relationship Management (CRM). We also study the application of each technology to enterprises in different fields and its impact on consumer behavior. BDA can efficiently organize a large amount of data into several variables that is related to the prediction and provide a reference prediction for the business. DT can effectively improve the accuracy of market segmentation, classify customers into sub-customer groups with distinct consumption characteristics, and help enterprises make targeted decisions. CRM can collect customer information through data sampling to build a comprehensive view of customers, and create customer analysis and prediction models according to the different needs of the enterprise. Studying the past consumer behavior can help enterprises to better develop products and make personalized decision plans for specific customer groups.

  • Open Access | Article 2024-07-02 Doi: 10.54254/2754-1169/97/20231550

    Bankruptcy Research and Enlightenment of Silicon Valley Bank

    Silicon Valley Bank went bankrupt in March 2023 and was overtaken by the Federal Deposit Insurance Corporation (FDIC), announcing its entry into bankruptcy liquidation proceedings. This event has aroused strong market attention and extensive discussion. Based on the history of the construction of Silicon Valley Bank, the characteristics of the bank, and the reasons for its failure, we have sorted out and studied the reasons for the failure of Silicon Valley Bank. This article proposes effective management measures for strengthening risk, management and asset allocation of Silicon Valley Bank through analysing its risk management and asset allocation from four aspects: credit risk, liquidity risk, market risk and operational risk. The reasons for the failure of Silicon Valley banks is analyzed in terms of liquidity, lending, markets and decision-making. We hope that through this research, managers can improve relevant financial loopholes in a more timely manner to avoid similar incidents from happening again.

  • Open Access | Article 2024-07-02 Doi: 10.54254/2754-1169/97/20230564

    Monetary Policy, Capital Regulation and Systemic Risk in Commercial Banks: Evidence from in China

    This paper examines the impact of monetary policy and capital regulation on commercial banks' systemic risk using a fixed panel model with data from 16 listed commercial banks in China from Q1 2011 to Q4 2019. The results show that both quantity-based monetary policy instruments, represented by currency issuance, and price-based monetary policy instruments, represented by interest rates, affect systemic risk. And they both show that accommodative monetary policies amplify commercial banks systemic risk. Besides, capital regulation has a dampening effect on systemic risk, and the intensity of regulation moves inversely with systemic risk. In addition, there is a synergistic effect between monetary policy and capital regulation. Furthermore, a symbiotic relationship exists between monetary policy and capital regulation. The findings of this study assist nations in managing systemic financial risks through macroeconomic policies.

  • Open Access | Article 2024-07-02 Doi: 10.54254/2754-1169/97/20231634

    Research on Sweatshops from the Perspective of Corporate Social Responsibility

    Economic globalization brings opportunities as well as challenges to business and labour, and labour rights violations related to sweatshops are one of them. With the human rights movement, more and more social organisations are joining the anti-sweatshop movement. In this context, governments have also been deemed to need to collaborate and take action to ban the sale of products manufactured under sweatshop conditions. This essay will address the anti-sweatshop movement from the perspectives of sustainable supply chains and corporate social responsibility. After analysing the reasons that influence the formation of sweatshops and the importance of the need to eradicate them, the essay will argue that by doing so various governments can effectively promote awareness amongst businesses of their need to adhere to corporate codes of conduct and fulfil corporate social responsibility, and as a result these corporations will have the potential to safeguard labour rights and promote their own sustainable development and social justice.

  • Open Access | Article 2024-07-02 Doi: 10.54254/2754-1169/97/20231581

    A Study of Asian Chooser Options in a General Two-Period Binomial Model

    Asian options are also known as average price options, and their strike price is the average price of the stock in the market half a day before the strike. Binomial model is a good model to identify the value of options, The paper develops the theory of Asian chooser options in the two-period binomial model. There are Asian call options, and Asian put options. We first derive the binomial model of the Asian option and get the portfolio function. After that, we get the number of bond and stock, Nb and Ns. We study the problem via five different cases in the two-period Binomial model. In these five cases, we choose the maximum value between Asian put and call options. Then, we decide whether they are call options or put options. Then, we calculate the number of portfolios in these five cases in the two-period binomial model. Finally, we implemented the whole project with Python.

  • Open Access | Article 2024-07-02 Doi: 10.54254/2754-1169/97/20231278

    Comparative Temporal Analysis of SVM-Based Machine Learning Techniques for Bank Risk Assessment

    This paper introduces an innovative approach that utilizes support vector machines (SVMs) to predict the bankruptcy of financial institutions within the United States. The study aims to identify influential factors that contributed to bankruptcy during two significant peri-ods: the 2008 financial crisis and post-2013. The goal is to highlight both shared and distinc-tive characteristics between these time frames. The proposed method incorporates a meticu-lous feature selection procedure to identify the most critical variables for assessing a bank’s financial stability. Subsequently, the SVM model is fed with data containing these key vari-ables from various banks, initiating both the training and testing phases. Specifically, two SVM models were trained: one utilizing a linear kernel, and the other employing a non-linear kernel. The objective was to assess their effectiveness in distinguishing between solvent and insolvent banks. Moreover, a neural network model was developed and subjected to a com-parative analysis alongside the aforementioned SVM models, all with the aim of identifying the optimal method for bankruptcy prediction. The training dataset comprised data from the ten quarters preceding bank failures post-2013, as well as the eight quarters leading up to bank failures in 2010, during 2008 financial crisis. The SVM models were implemented us-ing Scikit-Learn, while the neural network model was trained using PyTorch. Through this comprehensive approach, the paper contributes to the advancement of predictive methodolo-gies for identifying potential financial institution bankruptcies.

  • Open Access | Article 2024-07-02 Doi: 10.54254/2754-1169/97/20231636

    Debate on Addressing Income and Wealth Inequality among the Australian People

    In Australia, the issue of income and wealth inequality has steadily intensified over the past few decades, posing a concerning trend in this developed nation. This rising economic disparity not only impacts the financial well-being of citizens but also affects the national economy and political landscape. John Passant, who is committed to investigating ways to alleviate inequality in Australia, has put forth a tax reform proposal encompassing two distinct approaches--Buffet Rule for both individuals and companies and wealth taxes. However, it is essential to note that two other papers present contrasting viewpoints, casting doubt on the effectiveness of Passant's proposals. These two papers raise specific points of contention, prompting a nuanced and skeptical examination of Passant's suggestions, considering the diverse perspectives and empirical evidence presented. In evaluate, mitigating the income and wealth inequality in Australia necessitates a comprehensive and well-informed approach that takes into account the broader economic and social context.

  • Open Access | Article 2024-07-02 Doi: 10.54254/2754-1169/97/20231521

    Performance Analysis and Prospects of ESG Exchange-Traded Funds in the Mainland Chinese Market

    This article delves into In this article, we conduct a comprehensive analysis of Environmental, Social, and Governance (ESG) Exchange-Traded Funds (ETFs) in the dynamic landscape of the Mainland Chinese market. The research categorizes existing academic perspectives into three distinct groups, evaluating whether ESG ETFs outperform, perform similarly, or underperform conventional ETFs. Employing a meticulous methodology, encompassing annualized volatility, daily average returns, Sharpe ratio, Information ratio, and tracking error, we delve into the nuanced performance metrics of these investment vehicles. The findings reveal a nuanced picture: within an annualized volatility range of 0.6% to 0.8%, ESG ETFs exhibit competitive performance, particularly demonstrating resilience in risk mitigation when market returns are negative. However, our analysis underscores crucial challenges in the current ESG landscape in Mainland China. The lack of clear ESG definitions and standardized evaluation criteria hampers a comprehensive assessment. Additionally, there is a notable disparity in ESG ratings for listed companies, adding complexity to accurate evaluations. Looking ahead, the study emphasizes the imperative of defining ESG standards clearly and establishing uniform evaluation systems and information disclosure mechanisms. These steps are essential to enhance the accuracy and reliability of ESG ETF evaluations, thereby fostering a more robust and stable investment environment. This research provides valuable insights for investors, policymakers, and market participants, illuminating the path toward optimizing the potential of ESG ETFs in the Mainland Chinese market.

  • Open Access | Article 2024-07-02 Doi: 10.54254/2754-1169/97/20231605

    The Analysis of Electronic Marketing of Agriculture Products Based on Feasibility, Desirability, and Feasibility Risk

    Many industries have been impacted by saturation in a highly competitive climate. Many conventional Business-to-consumer companies are dealing with the dilemma of fragmented and lost clientele. However, live-streaming commerce has shown its potential in recent years, which brought conventional enterprises an opportunity. While many primary industry entrepreneurs lack knowledge of this sector. Therefore, this report will discuss the feasibility of selling agricultural products online with live commerce. Both primary data and secondary data are used. I have collected data from multiple experienced sellers from electronic business platforms, including sales, market share, etc. However, literature is also used for analyzing live commerce’s success factors and forecasting the feasibility of the online agriculture market. The results of this study show feasibility, desirability, and feasibility risk, lending practitioners in multiple traditional industries, especially agriculture suppliers, a more comprehensive understanding of the factors that would affect live commerce’s success and motivations of consumer decisions. The outcomes can be further used as a fundamental of online platforms’ improvement and agriculture products’ online selling suggestions.

  • Open Access | Article 2024-07-02 Doi: 10.54254/2754-1169/97/20231503

    Analysis of Blind Box Marketing Strategy in China

    In the case of the prevalence of the blind box economy, thinking about why the Z generation group is the main force of the blind box consumption, through the classic 4Ps theory of marketing to analyze the marketing strategy of the domestic head of the blind box enterprise POP Mart, its successful marketing means and the combination of various types of media platforms in the era of the new media, which can be migrated to the domestic cultural and creative industry to promote the development of China's creative and cultural products in the other products to help improve our cultural self-confidence, and at the same time, to let the public pay attention to the prevalence of the blind box economy of the Moral Hazard, and to call on the state and the enterprise to be able to take note of the and to take some effective means.

  • Open Access | Article 2024-07-02 Doi: 10.54254/2754-1169/97/20230504

    Quantitative Analysis of the Relationship Between Cryptocurrency Market and U.S. Stock Market Performance

    With particular attention to variables like volatility and the performance of the U.S. stock market, this study attempts to conduct a thorough quantitative examination of the relationship between the cryptocurrency market. By using sophisticated mathematical modeling approaches, such as regression analysis and correlation methodologies, it is hoped to identify the key characteristics of these markets as well as the degree to which cryptocurrency volatility and stock market success are causally related. The use of historical data, spanning a specific time (from July 1st, 2019, to July 1st, 2023) around 4 index price-day transaction data will be made, with a focus on high-frequency data for improved accuracy. The results of this study, which examine each option's characteristics or attributes, will add to the larger body of scholarly literature on the integration of cryptocurrencies into conventional financial markets. Moreover, drawing conclusions about some effects or prospective connections between cryptocurrencies and the financial industry based on their similarity to the American stock market. To pave the way for better-informed financial decision-making, this research aims to deepen our understanding of the interactions and spillover effects between cryptocurrency volatility and the American stock market.

  • Open Access | Article 2024-07-02 Doi: 10.54254/2754-1169/97/20231564

    Hedging Market Risk with the Index: Experiment Based on Chinese Stock Market

    The index can be seen as a reflection of the market. Index futures, also known as stock index futures, are financial derivatives whose value is based on the performance of the whole market. As a consequence, investors can hedge the market risk by longing or shorting some specific value of index futures. Based on the idea, the paper tried to hedge the market risk and have a deeply look into whether it works and what characteristics it has. The paper chooses 10 stocks from those who are the components of the three main Index in China. The results show that with all the hedging strategies, volatility is effectively reduced and the ROI significantly increased during the period with acute value changes. The paper refined the whole experiment by randomly choosing the stocks with python and comparing the stock selection within the industry. The experiment verify the feasibility and the effectiveness of the hedging strategies based on the Index.

  • Open Access | Article 2024-07-02 Doi: 10.54254/2754-1169/97/20231563

    Reasons for International Trade Barriers and Suggestions to Eliminate Trade Barriers

    In the International trades, trade barriers are common. However, regardless of how some countries may view the trade barriers, the tendency of world trade is still open and free. Besides, some international laws and treaties have regulated that states should promote the freedom of international trade, or it is against the obligations. Therefore, it is necessary to research on why international trade barriers exist and to give some suggestions to solve this problem. This paper conducted a literature review in the reason for international trade barriers. Four angles were being discussed: domestic political, income inequality, national security and culture influence. After examining 30 papers and law provisions, we got some conclusions. Reasons for international trade barriers are diverse, including the protection for states’ economy, security and the people’s interests. It also takes narrow nationalism and extreme patriotism and populism into consideration. To solve this problem, this paper suggests from the reform of WTO and some changes in the international treaties. On the other hand, this paper also has some advice to states to solve their domestic conflicts.

  • Open Access | Article 2024-07-02 Doi: 10.54254/2754-1169/97/20230495

    A Study of the Impact of Solvency Indexes on Stock Price Volatility in the Energy Industry

    In recent years, the energy industry has developed rapidly, opportunities and competition coexist in the industry, and energy stock price fluctuations are frequent. The article takes the listed enterprises in the energy industry in 2018-2023 as the research object, constructs the evaluation system of debt service indexes, and analyzes the relationship between debt service indexes and stock price volatility in the energy industry by using the fixed effect regression analysis method. The results found that: the gearing ratio and current ratio of energy enterprises are significantly positively correlated with their stock price volatility, and the nature of the enterprise is a new energy enterprise or a traditional energy enterprise, the correlation between their solvency index and stock price fluctuation also has a different strength. The stock price volatility of traditional energy enterprises is more affected by their solvency indexes, while that of new energy enterprises is comparatively less affected.

  • Open Access | Article 2024-07-02 Doi: 10.54254/2754-1169/97/20231502

    Research on the Assessment Method of College Students' Financial Difficulty Index in the Context of Big Data Based on AHP Algorithm

    The emergence of big data has allowed researchers to study people's financial struggles in greater detail. Among various kinds of difficulties, the financial barriers preventing low-income children from enrolling in higher education have received significant attention. Therefore, this paper uses the AHP algorithm and proposes a college student poverty index assessment method, aiming to provide a reference basis for the normal enrollment of children from low-income families by comprehensively analyzing various factors. This paper first constructs a hierarchical model to decompose the college student poverty problem into multiple influencing factors. Then, the AHP algorithm was utilized to calculate each factor's weights and consistency test, and each factor's relative importance was derived. As a result, each college student's poverty index was calculated using the comprehensive score method. The results show that the assessment method can reflect the degree of economic and social difficulties of college students from low-income families with better accuracy, providing a reliable reference value for promoting them in regular college enrollment. At the same time, the method can also be used in the government's formulation of poverty alleviation policies and the school's educational assistance work.

  • Open Access | Article 2024-07-02 Doi: 10.54254/2754-1169/97/20231501

    Explore SHEIN's Brand Image and Develop Brand Communication Strategies from the Perspective of Brand Communication - Based on the Data on YouTube

    This paper investigates the Brand Image of Shein, an international fast-fashion platform, via the analysis of comments from YouTube. The analysis based on the MDCOR software concludes the thousands of comments representative of the brand image through a select amount of the most representative comments. The comments are inputted into Wijaya’s theoretical model on brand image. The result concludes Shein’s Brand Image is primarily negative and is associated with undesirable elements such as fast fashion, poor value, and labor right violations. Failures to address such elements have severely decremented the brand image. Such results are consistent with other user feedbacks we find on other social media platforms, including Reddit and Twitter, where users have reported that above mentioned elements have discouraged them from using the platform. The findings in this work provide insight into Fast Fashion, an emergent e-commerce business model, and evaluate the detriments of existing e-commerce platforms to accommodate this business model.

  • Open Access | Article 2024-07-02 Doi: 10.54254/2754-1169/97/20231579

    Sports Organizations Adapt to Economic Changes

    The development of sports is inseparable from the prosperity and development of the economy. The change of economy and the development of sports are inseparable. And sports organizations are naturally inseparable from the economy. However, there is yet to be any relevant literature that can thoroughly study the conclusion of this subject, so it is necessary to synthesize some relevant literature from Chinese and foreign scholars and critics to conduct a review study. It is found that the adaptability of sports organizations to economic changes is mainly related to the support of policies and the construction degree of sports culture, as well as people's ideological acceptability and coping ability in the face of diversified development. After exploring, we can study and judge how sports organizations will change accordingly through economic changes and make appropriate regulations and controls so that organizations can be more comfortable in the face of various changes.

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