Pub Date : 2024-07-26DOI: 10.54254/2754-1169/105/20241930
Songhai Zhang
The aim of this research is to investigate the potential correlation between housing prices and unemployment rates in London. Specifically, the study focuses on analyzing the relationship between the average housing price and the unemployment rate in the city. To achieve this objective, this paper employs statistical methods such as the t-test and regression analysis to determine whether there is a significant connection between the two variables. Additionally, a line chart is utilized to visually represent the changes in housing prices over time, providing a clearer understanding of the trends and patterns. By conducting this comprehensive analysis, we hope to gain insights into the potential impact of unemployment on housing prices in London.
本研究旨在调查伦敦住房价格与失业率之间的潜在相关性。具体而言，研究重点是分析该市平均房价与失业率之间的关系。为实现这一目标，本文采用了 t 检验和回归分析等统计方法，以确定这两个变量之间是否存在显著联系。此外，本文还利用折线图来直观地表示住房价格随时间的变化，从而更清晰地了解住房价格的变化趋势和规律。通过这一综合分析，我们希望深入了解失业对伦敦房价的潜在影响。
{"title":"The Research about the Connection Between Housing Prices and Unemployment","authors":"Songhai Zhang","doi":"10.54254/2754-1169/105/20241930","DOIUrl":"https://doi.org/10.54254/2754-1169/105/20241930","url":null,"abstract":"The aim of this research is to investigate the potential correlation between housing prices and unemployment rates in London. Specifically, the study focuses on analyzing the relationship between the average housing price and the unemployment rate in the city. To achieve this objective, this paper employs statistical methods such as the t-test and regression analysis to determine whether there is a significant connection between the two variables. Additionally, a line chart is utilized to visually represent the changes in housing prices over time, providing a clearer understanding of the trends and patterns. By conducting this comprehensive analysis, we hope to gain insights into the potential impact of unemployment on housing prices in London.","PeriodicalId":104305,"journal":{"name":"Advances in Economics, Management and Political Sciences","volume":"8 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141801041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-26DOI: 10.54254/2754-1169/98/2024ox0110
Qingjiang Zhang
The logistics industry has experienced significant transformations as a result of the rapid evolution of globalization and e-commerce, leading to notable shifts in business models, technology applications, and service quality. This paper aims to delve into the differences in business investment value between traditional logistics companies and new logistics companies, while also exploring the impact of these disparities on enterprise competitiveness and future development. And as a goal to provide some high-quality suggestions to the new enterprises currently in development and the traditional enterprises in transformation, to promote the upgrading and development of the logistics industry. To achieve this objective, the study utilizes two primary research methodologies: case analysis and comparative analysis., By conducting a comparative analysis of the financial development and service advantages and disadvantages of two representative traditional logistics companies, FedEX and Amazon logistics, as well as modern logistics companies, this study aims to clarify the significance of digital transformation in the development of traditional logistics enterprises. Furthermore, it provides optimization suggestions for digital logistics transportation information security and other risks, ultimately contributing to the high-quality development of logistics enterprises.
{"title":"Comparison of Business Investment Value Between Traditional and New Logistics Companies","authors":"Qingjiang Zhang","doi":"10.54254/2754-1169/98/2024ox0110","DOIUrl":"https://doi.org/10.54254/2754-1169/98/2024ox0110","url":null,"abstract":"The logistics industry has experienced significant transformations as a result of the rapid evolution of globalization and e-commerce, leading to notable shifts in business models, technology applications, and service quality. This paper aims to delve into the differences in business investment value between traditional logistics companies and new logistics companies, while also exploring the impact of these disparities on enterprise competitiveness and future development. And as a goal to provide some high-quality suggestions to the new enterprises currently in development and the traditional enterprises in transformation, to promote the upgrading and development of the logistics industry. To achieve this objective, the study utilizes two primary research methodologies: case analysis and comparative analysis., By conducting a comparative analysis of the financial development and service advantages and disadvantages of two representative traditional logistics companies, FedEX and Amazon logistics, as well as modern logistics companies, this study aims to clarify the significance of digital transformation in the development of traditional logistics enterprises. Furthermore, it provides optimization suggestions for digital logistics transportation information security and other risks, ultimately contributing to the high-quality development of logistics enterprises.","PeriodicalId":104305,"journal":{"name":"Advances in Economics, Management and Political Sciences","volume":"11 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141802096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-26DOI: 10.54254/2754-1169/109/20241093
Yushan Cai
The State-owned Assets Supervision and Administration Commission emphasizes that promoting the reorganization of state-owned enterprises (SOEs) can focus their advantageous resources, which plays a positive role in addressing issues such as the uneven distribution of state-owned capital, inefficient resource allocation, and homogenized development. This paper, set against the backdrop of SOE reform and central enterprise reorganization, uses the merger and reorganization event of Ansteel Group and Benxi Steel Group as a case study to investigate how central enterprise reorganization can improve the performance of central enterprises, based on the theory of synergistic effects. The study finds that under the theory of synergistic effects, after the reorganization of Ansteel Group and Benxi Steel Group, the operational, financial, and managerial synergistic effects of Ansteel Group continue to be realized, thereby enhancing the performance level of Ansteel Group. This paper aims to demonstrate the improvement of enterprise performance through central enterprise reorganization and calls on other central enterprises to actively respond to the national requirements for mergers and reorganizations, offering suggestions for subsequent reorganizations of central enterprises.
{"title":"A Study on the Performance of Mergers and Acquisitions in the Context of State-Owned Enterprise Reform: The Case of Ansteel and Benxi Steel","authors":"Yushan Cai","doi":"10.54254/2754-1169/109/20241093","DOIUrl":"https://doi.org/10.54254/2754-1169/109/20241093","url":null,"abstract":"The State-owned Assets Supervision and Administration Commission emphasizes that promoting the reorganization of state-owned enterprises (SOEs) can focus their advantageous resources, which plays a positive role in addressing issues such as the uneven distribution of state-owned capital, inefficient resource allocation, and homogenized development. This paper, set against the backdrop of SOE reform and central enterprise reorganization, uses the merger and reorganization event of Ansteel Group and Benxi Steel Group as a case study to investigate how central enterprise reorganization can improve the performance of central enterprises, based on the theory of synergistic effects. The study finds that under the theory of synergistic effects, after the reorganization of Ansteel Group and Benxi Steel Group, the operational, financial, and managerial synergistic effects of Ansteel Group continue to be realized, thereby enhancing the performance level of Ansteel Group. This paper aims to demonstrate the improvement of enterprise performance through central enterprise reorganization and calls on other central enterprises to actively respond to the national requirements for mergers and reorganizations, offering suggestions for subsequent reorganizations of central enterprises.","PeriodicalId":104305,"journal":{"name":"Advances in Economics, Management and Political Sciences","volume":"47 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141798987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-26DOI: 10.54254/2754-1169/98/2024ox0125
Yuge Han
Financial fraud presents itself in various forms, and it often involves intricate financial transaction networks, making it challenging to detect the perpetrators and identify the characteristics of the fraud. In recent years, machine learning has gained widespread application within the financial sector. Therefore, various financial fraud detection models have been developed based on diverse machine learning methodologies. In the method part, this paper provides an overview of the machine learning process and then discusses the application of machine learning models in various financial fraud scenarios. Financial fraud in the insurance field has been further refined into automobile and medical insurance fraud. In automobile insurance fraud detection, some studies applied implicit Naive Bayes Model to analyze observable features and estimate hidden variables, and some studies used resampler to solve data imbalance and adopted 7 kinds of machine learning models for analysis. In health insurance fraud detection, many studies train medical data with multiple models, including AdaBoost, Logistic Regression and Support Vector Machine. In credit card fraud detection, studies use five algorithms, including random forest and decision tree et al., and some construct a model combining Decision Tree (DT) and Logistic Regression (LR). In bank fraud detection, some studies introduce Value-at-Risk to combine it with machine learning algorithms, and some studies propose a decentralized model training method based on federated learning. In the discussion section, this paper addresses the current limitations of the research, such as poor interpretability, uneven distribution of data sets, and issues related to customer privacy, and proposes corresponding solutions.
{"title":"An Investigation of Machine Learning Applications in the Financial Fraud Detection","authors":"Yuge Han","doi":"10.54254/2754-1169/98/2024ox0125","DOIUrl":"https://doi.org/10.54254/2754-1169/98/2024ox0125","url":null,"abstract":"Financial fraud presents itself in various forms, and it often involves intricate financial transaction networks, making it challenging to detect the perpetrators and identify the characteristics of the fraud. In recent years, machine learning has gained widespread application within the financial sector. Therefore, various financial fraud detection models have been developed based on diverse machine learning methodologies. In the method part, this paper provides an overview of the machine learning process and then discusses the application of machine learning models in various financial fraud scenarios. Financial fraud in the insurance field has been further refined into automobile and medical insurance fraud. In automobile insurance fraud detection, some studies applied implicit Naive Bayes Model to analyze observable features and estimate hidden variables, and some studies used resampler to solve data imbalance and adopted 7 kinds of machine learning models for analysis. In health insurance fraud detection, many studies train medical data with multiple models, including AdaBoost, Logistic Regression and Support Vector Machine. In credit card fraud detection, studies use five algorithms, including random forest and decision tree et al., and some construct a model combining Decision Tree (DT) and Logistic Regression (LR). In bank fraud detection, some studies introduce Value-at-Risk to combine it with machine learning algorithms, and some studies propose a decentralized model training method based on federated learning. In the discussion section, this paper addresses the current limitations of the research, such as poor interpretability, uneven distribution of data sets, and issues related to customer privacy, and proposes corresponding solutions.","PeriodicalId":104305,"journal":{"name":"Advances in Economics, Management and Political Sciences","volume":"18 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141799129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-26DOI: 10.54254/2754-1169/98/2024ox0111
Jiarong Zhuang
Financial indicators and operational efficiency are crucial for the long-term development of enterprises. This article takes Coca-Cola Company as an example to conduct a detailed analysis of the investment value of the enterprise from various aspects such as current financial performance, operational efficiency, and competitive landscape. Explore the future development trends of Coca-Cola Company by reviewing and reviewing its financial statements, operational indicators, competitive positioning, and economic factors that influence the company. Research data shows that although Coca-Cola has maintained profitability, its operating profit margin has slightly declined in the past few years. By doing so, it is more profitable in certain aspects than competitors such as Pepsi and Monster Beverages. The organization faces obstacles to constantly changing consumer choices through healthier choices and supply chain/geopolitical chaos. This may require Coca Cola to diversify its product portfolio and supply chain to maintain expected profits. This study has important practical significance for investors in the beverage industry and researchers interested in this topic.
{"title":"Analysis of Investment Value of Beverage Industry Enterprises: Evidence from Coca-Cola Company","authors":"Jiarong Zhuang","doi":"10.54254/2754-1169/98/2024ox0111","DOIUrl":"https://doi.org/10.54254/2754-1169/98/2024ox0111","url":null,"abstract":"Financial indicators and operational efficiency are crucial for the long-term development of enterprises. This article takes Coca-Cola Company as an example to conduct a detailed analysis of the investment value of the enterprise from various aspects such as current financial performance, operational efficiency, and competitive landscape. Explore the future development trends of Coca-Cola Company by reviewing and reviewing its financial statements, operational indicators, competitive positioning, and economic factors that influence the company. Research data shows that although Coca-Cola has maintained profitability, its operating profit margin has slightly declined in the past few years. By doing so, it is more profitable in certain aspects than competitors such as Pepsi and Monster Beverages. The organization faces obstacles to constantly changing consumer choices through healthier choices and supply chain/geopolitical chaos. This may require Coca Cola to diversify its product portfolio and supply chain to maintain expected profits. This study has important practical significance for investors in the beverage industry and researchers interested in this topic.","PeriodicalId":104305,"journal":{"name":"Advances in Economics, Management and Political Sciences","volume":"58 38","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141799200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-26DOI: 10.54254/2754-1169/94/2024ox0113
Yi Ding, Junyan Long, Ziting Ni, Jingwen Wei
The article will use Guangzhou Newlife New Material Co, Ltd., as the case study object after four rounds of inquiries. Through reading pertinent literature, compiling Guangzhou Newlife New Material Co, Ltd.,'s four rounds of inquiries letters and its reply information as well as the prospectus, and applying the AMPS model, the article will analyze the reasons for and the impacts of the enterprises' multiple rounds of inquiries. Under the Science and Innovation Board's registration system, some enterprises will be subject to multiple rounds of inquiries in their initial public offerings. The study's findings demonstrate that businesses must fully and completely disclose all relevant information and make sure that it is clear and simple in order to comply with the Science and Technology Board's (STB) audit process. Inquiry is helpful to alleviate information asymmetry and improve the pricing efficiency of initial public offering (IPO). Companies may improve their business plans and increase their competitiveness in the market by using many rounds of inquiry to gain a deeper understanding of their current state of affairs and prospective threats.
{"title":"Analysis of the Reasons for Multiple Rounds of Inquiries of Newlife Company under the Registration System","authors":"Yi Ding, Junyan Long, Ziting Ni, Jingwen Wei","doi":"10.54254/2754-1169/94/2024ox0113","DOIUrl":"https://doi.org/10.54254/2754-1169/94/2024ox0113","url":null,"abstract":"The article will use Guangzhou Newlife New Material Co, Ltd., as the case study object after four rounds of inquiries. Through reading pertinent literature, compiling Guangzhou Newlife New Material Co, Ltd.,'s four rounds of inquiries letters and its reply information as well as the prospectus, and applying the AMPS model, the article will analyze the reasons for and the impacts of the enterprises' multiple rounds of inquiries. Under the Science and Innovation Board's registration system, some enterprises will be subject to multiple rounds of inquiries in their initial public offerings. The study's findings demonstrate that businesses must fully and completely disclose all relevant information and make sure that it is clear and simple in order to comply with the Science and Technology Board's (STB) audit process. Inquiry is helpful to alleviate information asymmetry and improve the pricing efficiency of initial public offering (IPO). Companies may improve their business plans and increase their competitiveness in the market by using many rounds of inquiry to gain a deeper understanding of their current state of affairs and prospective threats.","PeriodicalId":104305,"journal":{"name":"Advances in Economics, Management and Political Sciences","volume":"22 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141800947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-26DOI: 10.54254/2754-1169/105/20241922
Muzeng Huang
This paper examines the impact of Chinas digital economy on inequality, focusing on employment, income inequality, innovation, and competition. Overall, the digital economy creates inequality in individuals and firms. It exacerbates the income disparity between high-skilled and low-skilled workers, and/or across different regions. It also creates an oligopolistic structure in the digital markets and new industries, where big firms use network effects and incumbency advantage to reduce competition. Therefore, challenges arise for antitrust enforcement due to the dynamic nature of the digital economy and attention platforms. Nevertheless, the digital economy optimizes employment structure, having a net effect of greater creation effect than substitution effect. It also increases innovation efficiency and opportunities for smaller players in the traditional sectors. Therefore, the digital economy has positive implications for economic growth. Overall, it is crucial to encourage equality and stimulate economic growth by implementing certain policies, including measures to enhance labor quality, reduce regional disparities, and strengthen antitrust regulations.
{"title":"China's Digital Economy: Examining Its Impact on Inequality Through the Lens of Employment, Income Disparity, Innovation, and Competition","authors":"Muzeng Huang","doi":"10.54254/2754-1169/105/20241922","DOIUrl":"https://doi.org/10.54254/2754-1169/105/20241922","url":null,"abstract":"This paper examines the impact of Chinas digital economy on inequality, focusing on employment, income inequality, innovation, and competition. Overall, the digital economy creates inequality in individuals and firms. It exacerbates the income disparity between high-skilled and low-skilled workers, and/or across different regions. It also creates an oligopolistic structure in the digital markets and new industries, where big firms use network effects and incumbency advantage to reduce competition. Therefore, challenges arise for antitrust enforcement due to the dynamic nature of the digital economy and attention platforms. Nevertheless, the digital economy optimizes employment structure, having a net effect of greater creation effect than substitution effect. It also increases innovation efficiency and opportunities for smaller players in the traditional sectors. Therefore, the digital economy has positive implications for economic growth. Overall, it is crucial to encourage equality and stimulate economic growth by implementing certain policies, including measures to enhance labor quality, reduce regional disparities, and strengthen antitrust regulations.","PeriodicalId":104305,"journal":{"name":"Advances in Economics, Management and Political Sciences","volume":"19 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141801406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-26DOI: 10.54254/2754-1169/98/2024ox0109
Jiayi Song
The global dialysis market is continuing expanding in the recent years and dialysis industry has expected investment prospects. This study presents a comprehensive investment analysis framework comparing four top companies in the kidney care and dialysis service industry. This article aims help investor choose the most suitable company among them with the highest investment value to invest in. The study uses official financial data from Nasdaq from 2023 and forecast data from estimates of 2024 of 4 dialysis companies on the waiting list. By analyzing and comparing the financial statements of four companies, the asset investment potential and growth rate of the four companies were determined. Results demonstrate that the company DaVita rank as the most appealing investment option out of four companies, followed by Medtronic, Baxter and Fresenius. Based on financial statements, DaVita is attractive with highest expected growth rates in EPS and gross revenue, PEG ratio, and relatively high annual and quarterly gross margin.
{"title":"Investment Advice of Dialysis Companies: Whats the Trend of the Industry?","authors":"Jiayi Song","doi":"10.54254/2754-1169/98/2024ox0109","DOIUrl":"https://doi.org/10.54254/2754-1169/98/2024ox0109","url":null,"abstract":"The global dialysis market is continuing expanding in the recent years and dialysis industry has expected investment prospects. This study presents a comprehensive investment analysis framework comparing four top companies in the kidney care and dialysis service industry. This article aims help investor choose the most suitable company among them with the highest investment value to invest in. The study uses official financial data from Nasdaq from 2023 and forecast data from estimates of 2024 of 4 dialysis companies on the waiting list. By analyzing and comparing the financial statements of four companies, the asset investment potential and growth rate of the four companies were determined. Results demonstrate that the company DaVita rank as the most appealing investment option out of four companies, followed by Medtronic, Baxter and Fresenius. Based on financial statements, DaVita is attractive with highest expected growth rates in EPS and gross revenue, PEG ratio, and relatively high annual and quarterly gross margin.","PeriodicalId":104305,"journal":{"name":"Advances in Economics, Management and Political Sciences","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141801775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-26DOI: 10.54254/2754-1169/98/2024ox0120
Yuancong Xu
In recent years, with the continuous active market of listed companies M&A and reorganization, the phenomenon of differentiated transaction pricing M&A is very common. In order to quickly shorten the transaction process, the initial design of the transaction plan needs to pay attention to the demands of the transaction parties, and the application of differentiated pricing strategy meets the diversified needs of the transaction parties. Based on the historical wave of M&A and the development status of Chinese listed companies, this paper analyzes the applicability and defects of M&A pricing of Chinese listed companies from the point of view of the core issue in the M&A process. This paper studies the pricing problem from two aspects. First, starting from the deterministic system, it analyzes the pricing of M&A enterprises under the perfect market system. The second is from the actual situation of China, the use of AMPS model for analysis. The research results show that the practice of differentiated pricing strategy of listed companies can not only deepen the understanding of the role of corporate governance in M&A, but also promote the effective risk control and profit maximization of listed companies. The research significance is to have a further understanding of the M&A pricing of China's joint-stock enterprises.
{"title":"The Application of Differentiated Pricing Strategy in M&A Practice of Listed Companies","authors":"Yuancong Xu","doi":"10.54254/2754-1169/98/2024ox0120","DOIUrl":"https://doi.org/10.54254/2754-1169/98/2024ox0120","url":null,"abstract":"In recent years, with the continuous active market of listed companies M&A and reorganization, the phenomenon of differentiated transaction pricing M&A is very common. In order to quickly shorten the transaction process, the initial design of the transaction plan needs to pay attention to the demands of the transaction parties, and the application of differentiated pricing strategy meets the diversified needs of the transaction parties. Based on the historical wave of M&A and the development status of Chinese listed companies, this paper analyzes the applicability and defects of M&A pricing of Chinese listed companies from the point of view of the core issue in the M&A process. This paper studies the pricing problem from two aspects. First, starting from the deterministic system, it analyzes the pricing of M&A enterprises under the perfect market system. The second is from the actual situation of China, the use of AMPS model for analysis. The research results show that the practice of differentiated pricing strategy of listed companies can not only deepen the understanding of the role of corporate governance in M&A, but also promote the effective risk control and profit maximization of listed companies. The research significance is to have a further understanding of the M&A pricing of China's joint-stock enterprises.","PeriodicalId":104305,"journal":{"name":"Advances in Economics, Management and Political Sciences","volume":"38 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141800290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-26DOI: 10.54254/2754-1169/98/2024ox0122
Ruikang Liu
This article aims to provide investment advice to investors by comparing and analyzing four representative companies in the food industry. This article can help investors choose the most suitable stocks and gain more benefits. This article identified four representative companies and conducted data organization and financial analysis on them. Based on the results, the most suitable companies for investors to invest in were identified, along with their corresponding advantages and risks. This article analyzes and calculates the data released by the four major companies, and concludes that Starbucks (SBUX) is the most suitable stock for investors to choose because it has high investment returns and low investment risks. And the other three companies will all have some flaws to some extent. This article provides a method of analyzing data to find the most suitable stocks for investment, which can help investors make decisions, it can also help investors have the ability to distinguish between good and bad stocks themselves.
{"title":"Comparison of Commercial Investment Value in the Food Industry","authors":"Ruikang Liu","doi":"10.54254/2754-1169/98/2024ox0122","DOIUrl":"https://doi.org/10.54254/2754-1169/98/2024ox0122","url":null,"abstract":"This article aims to provide investment advice to investors by comparing and analyzing four representative companies in the food industry. This article can help investors choose the most suitable stocks and gain more benefits. This article identified four representative companies and conducted data organization and financial analysis on them. Based on the results, the most suitable companies for investors to invest in were identified, along with their corresponding advantages and risks. This article analyzes and calculates the data released by the four major companies, and concludes that Starbucks (SBUX) is the most suitable stock for investors to choose because it has high investment returns and low investment risks. And the other three companies will all have some flaws to some extent. This article provides a method of analyzing data to find the most suitable stocks for investment, which can help investors make decisions, it can also help investors have the ability to distinguish between good and bad stocks themselves.","PeriodicalId":104305,"journal":{"name":"Advances in Economics, Management and Political Sciences","volume":"10 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141801342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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