Advances in Economics, Management and Political Sciences

Open access

Print ISSN: 2754-1169

Online ISSN: 2754-1177

About AEMPS

The proceedings series Advances in Economics, Management and Political Sciences (AEMPS) is an international peer-reviewed open access series that publishes conference proceedings from a wide variety of methodological and disciplinary perspectives concerning economic and management issues. The series welcomes empirical and theoretical articles concerning micro, meso, and macro phenomena. Proceedings that are suitable for publication in the AEMPS cover domains on various perspectives of economics, management and political sciences and their impact on individuals, businesses and society.

Aims & scope of AEMPS are:
· Economics
· Management
· Political Sciences

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Editors View full editorial board

Canh Thien Dang
King's College London
London, UK
Editor-in-Chief
canh.dang@kcl.ac.uk
Shima Amini
University of Leeds
Leeds, UK
Vice Editors-in-Chief
S.Amini@lubs.leeds.ac.uk
Arman Eshraghi
Cardiff Business School
Cardiff, UK
Vice Editors-in-Chief
EshraghiA@cardiff.ac.uk
Alexandre Loktionov
King's College London
London, UK
Vice Editors-in-Chief
alexandre.loktionov@kcl.ac.uk

Latest articles View all articles

Research Article
Published on 28 August 2024 DOI: 10.54254/2754-1169/111/2024GA0103
Ye Fan

As US Federal Reverse Systems has continued to raise federal funds in the past few years in order to curb inflation, this has had a huge impact on chinese capital market. Investors and financial institude are actively engaged in predicting stock returns to maximize their investment income. This study constructs a model to analyze and predict the financial factor of stock income based on supervised machine learning methods and evaluate the results. The datasample is extracted from wind, for the period half a year before and after the recent federal funds rate hike. Utilizing machine learning packages in R, this paper construct models based on linear discriminant analysis, decision tree and random forest models. After constructing estimation models, this paper visualizes the prediction result by utilizing drawing package in R. It has been found that the random forest algorithm predicting model generates very successful results for the financial factor prediction as the model accuracy reaches 99%. According to the analysis, relevant model to predict financial factors and non-financial factors based on non-linear supervised machine learning algorithm can be built by investors or hedge fund agency to estimate stock performance in the future. This study also investigates the economic result of the Federal Funds Rate hikes, which is instructive for investors to make well-informed decisions.

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Fan,Y. (2024).Stock Return Prediction under US Federal Funds Rate Hike Based on Supervised Machine Learning.Advances in Economics, Management and Political Sciences,111,1-9.
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Research Article
Published on 28 August 2024 DOI: 10.54254/2754-1169/110/2024ED0149
Zhaozhang Huang

With the rapid development of China's economy, the status and role of the financial industry in the national economy have become increasingly prominent. The healthy development of the financial industry is of great significance for promoting the development of the real economy, adjusting the economic structure, and upgrading the economy. However, there are still some problems with financial services supporting the real economy in China, such as the misallocation of financial resources, high financing costs, and rising financial risks. These issues limit the support financial services can provide to the real economy. This paper analyzes the main problems currently existing in financial services supporting the real economy and proposes countermeasures from optimizing the allocation of financial resources, reducing financing costs for the real economy, preventing and resolving financial risks, and deepening the structural reform of the financial supply side. The aim is to provide references for relevant personnel.

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Huang,Z. (2024).Problems and Strategies of Financial Services Supporting the Real Economy.Advances in Economics, Management and Political Sciences,110,223-227.
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Research Article
Published on 28 August 2024 DOI: 10.54254/2754-1169/110/2024ED0114
Junyu Xiong

In today’s digital era, the evolution of internet supply chain finance presents trans-formative opportunities and challenges for enterprises worldwide. This research explores the development and influence of Internet supply chain finance on enterprises, examining its impact on financial management, operational efficiency, and strategic competitiveness within supply chain networks. The study delves into the growing adoption of Internet supply chain finance solutions by enterprises seeking to optimize working capital, streamline transaction processes, and enhance collaboration with suppliers and partners. As digital technologies reshape traditional finance practices, understanding the implication of Internet supply chain finance becomes imperative for businesses navigating complex global supply chains. A comprehensive literature review synthesizes existing knowledge on internet supply chain finance. Preliminary findings suggest that Internet SCF offers significant advantages to enterprises, including improved liquidity management, reduced transaction costs, and enhanced supply chain resilience. However, challenges such as personal security risks and integration complexities underscore the need for strategic planning and technological readiness. By elucidating the development and influence of internet SCF on enterprises for practitioners, policymakers, and scholars in the field of supply chain finance and digital transformation.

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Xiong,J. (2024).Research on the Development and Influence of Internet Supply Chain Finance on Enterprises.Advances in Economics, Management and Political Sciences,110,217-222.
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Research Article
Published on 31 July 2024 DOI: 10.54254/2754-1169/110/2024ED0064
Luyu Chen

Since May 2023, when Heytea established a co-branding alliance with Fendi, its sales and popularity have significantly increased. Several retailers faced a shortage of the product within the first week following its launch. This study sought to examine the elements that have contributed to the successful cross-border co-branding cooperation between Heytea and Fendi. This study employs the marketing mix theory of the 4Vs to analyze the situation of Heytea from three angles: value strategy, variation strategy, and vibration strategy. Heytea had success by using three crucial factors: augmenting the perceived worth of their product, providing a wide array of products to cater to a broader consumer demographic, and producing enthusiasm to captivate public attention. Similarly, the three suggestions are to improve the caliber of products, provide customized service, and engage influencers. This study offers an extensive investigation into cross-border co-branding in China, with significant implications for other companies and industries.

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Chen,L. (2024).Using Marketing Mix Theory to Analyze the Successful Reasons on Heytea’ s Co-branding Strategy.Advances in Economics, Management and Political Sciences,110,209-216.
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Volumes View all volumes

Volume 111August 2024

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Proceedings of Finance's Role in the Just Transition - ICFTBA 2024

Conference website: https://2024.icftba.org/

Conference date: 4 December 2024

ISBN: 978-1-83558-611-2(Print)/978-1-83558-612-9(Online)

Editor: Ursula Faura-Martínez

Volume 110August 2024

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Proceedings of the Decoupling Corporate Finance Implications of Firm Climate Action - ICEMGD 2024

Conference website: https://www.icemgd.org/index.html

Conference date: 26 September 2024

ISBN: 978-1-83558-581-8(Print)/978-1-83558-582-5(Online)

Editor: Lukáš Vartiak

Volume 108August 2024

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Proceedings of the 3rd International Conference on Financial Technology and Business Analysis

Conference website: https://2024.icftba.org/

Conference date: 4 December 2024

ISBN: 978-1-83558-545-0(Print)/978-1-83558-546-7(Online)

Editor: Ursula Faura-Martínez

Volume 107September 2024

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Proceedings of Finance's Role in the Just Transition - ICFTBA 2024

Conference website: https://2024.icftba.org/

Conference date: 4 December 2024

ISBN: 978-1-83558-547-4(Print)/978-1-83558-548-1(Online)

Editor: Ursula Faura-Martínez

Indexing

The published articles will be submitted to following databases below: