With the continuous development of financial markets, financial holding companies (FHCs), as a crucial organizational form integrating cross-industry and multi-sector operations, have increasingly become a central force in the financial system. However, their complex business structures and fund operation models have also introduced regulatory challenges such as risk concealment, governance imbalances, and opaque capital flows. Traditional regulatory systems have struggled to effectively address the multidimensional risks posed by this new form of financial institution. From the perspective of accounting and financial management, this paper conducts an in-depth analysis of the main issues faced by FHCs in capital allocation, risk control, internal governance, and financial information disclosure. Drawing on international regulatory experience, we propose the construction of a scientific and efficient multi-tiered regulatory framework. The study argues for promoting the standardization and transparency of financial information disclosure, establishing a flexible countercyclical adjustment mechanism, improving the consolidated financial statement supervision system, and strengthening dynamic monitoring of fund operations and capital structures. Particular emphasis is placed on the coordination mechanism between regulatory authorities and internal corporate governance, forming a hybrid regulatory system that combines external constraints with internal self-discipline. This approach aims to enhance risk early warning and prevention capabilities, thereby supporting the compliant and stable development of financial holding companies. Furthermore, this framework demonstrates significant cross-border applicability. By integrating blockchain-enhanced disclosure with countercyclical capital buffers, it offers actionable solutions for U.S. regulators to oversee foreign-based FHCs, addressing systemic risks highlighted by the 2008 financial crisis. The study provides a template for global regulatory coordination through institutions like the Financial Stability Board (FSB).

Cheng Sheng. Research on the Construction of a Regulatory Framework for Financial Holding Companies from the Perspective of Accounting and Financial Management. International Journal of Social Sciences and Economic Management (2025), Vol. 6, Issue 1: 143-156. https://doi.org/10.38007/IJSSEM.2025.060113.

[1] Si-Yuan D , Business S O , University S .Explore the Financial Risk of Financial Holding Company[J].Journal of Wuhan Polytechnic, 2016.

[2] Liu K .Chinese Financial Holding Companies: A Review[J].Chinese Economy, 2021, 54.DOI:10.1080/10971475.2020.1848469.

[3]  Yihua X .On the financial holding company evolution path:social choice and system design[J].Shanghai Journal of Economics, 2012.

[4] Zhang J .Stability and Risk of Financial Holding Companies—Taking the Chinese CITIC Group as Example[J].Journal of Service Science and Management, 2019, 12(2):246-266.DOI:10.4236/jssm.2019.122017.

[5]  Bin D , Dixin Z .Analysis of Risk Control Rights Allocation in Financial Holding Company[C]//International Conference on Management & Service Science.IEEE, 2010.DOI:10.1109/ICMSS.2010.5577468.

[6]  Xia Z X , Yu Z C .China financial holding company special risk management and control[J].Special Zone Economy, 2014.

[7]  Duan N .Integration and Development of Enterprise Management Accounting and Financial Accounting under the New Situation[J].Academic Journal of Business & Management, 2023.DOI:10.25236/ajbm.2023.051215.

[8] Cheng-Hui Z .Thinking on Reconstruction of China's Financial Regulatory Framework and Recommendations[J].Journal of Chongqing University of Technology(Social Science), 2016.

[9] Sheng L .The Global Financial Crisis and transform in the International Financial Regulatory Framework[J].Asia-pacific Economic Review, 2010, 25(3):463-474.DOI:10.1080/09557571.2012.710587.

[10] Liu Z. Research on the Application of Signal Integration Model in Real-Time Response to Social Events[J]. Journal of Computer, Signal, and System Research, 2025, 2(2): 102-106.

[11] Wenting C , Zhichun Y , University Y N .Discussion on the Potential Causes and the Prevention and Control Measures for Systemic Financial Risk in the New Era[J].Credit Reference, 2019.

[12] Ma Z. Strategies for Enhancing Customer Lifetime Value through Data Modeling[J]. European Journal of Business, Economics & Management, 2025, 1(1): 1-7.

[13] Ma Z. Innovative Application of Reinforcement Learning in User Growth and Behavior Prediction[J]. European Journal of AI, Computing & Informatics, 2025, 1(1): 18-24.

[14] Zhao F. Application and Performance Improvement of K-Means Algorithm in Collaborative[C]//2025 International Conference on Intelligent Systems and Computational Networks (ICISCN). IEEE, 2025: 1-6.

[15] Liu Z. Application of Machine Learning in Financial Risk Classification and Account Verification Optimization Strategy[J]. Economics and Management Innovation, 2025, 2(2): 64-70.

[16] Xu H. OLAP Technology Financial Statistics Information Platform Based on Big Data Analysis[C]//The International Conference on Cyber Security Intelligence and Analytics. Cham: Springer Nature Switzerland, 2024: 283-293.

[17] Zhu P. Construction and Experimental Verification[C]//Cyber Security Intelligence and Analytics: The 6th International Conference on Cyber Security Intelligence and Analytics (CSIA 2024), Volume 1. Springer Nature, 2025, 1351: 391.

[18] Chen, H., Zuo, J., Zhu, Y., Kabir, M. R., & Han, A. (2024). Polar-Space Frequency-Domain Filtering for Improved Pulse-echo Speed of Sound Imaging with Convex Probes. In 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS) (pp. 1-4). IEEE.

[19] Yang, **zhu. "Application of Multi-model Fusion Deep NLP System in Classification of Brain Tumor Follow-Up Image Reports." Cyber Security Intelligence and Analytics: The 6th International Conference on Cyber Security Intelligence and Analytics (CSIA 2024), Volume 1. Vol. 1351. Springer Nature, 2025.

[20] Fan, Yijiao. "Credit Rating Optimization Model Based." Cyber Security Intelligence and Analytics: The 6th International Conference on Cyber Security Intelligence and Analytics (CSIA 2024), Volume 1. Vol. 1351. Springer Nature, 2025.

[21] Liu Y. Optimization of Financial Fraud Detection Algorithm by Combining Variational Autoencoder with Generative Adversarial Networks[C]//2024 International Conference on Distributed Systems, Computer Networks and Cybersecurity (ICDSCNC). IEEE, 2024: 1-7.

[22] Dong P. Research on the Application of Knowledge Graph-Driven Two-Dimensional Convolutional Embedding Methods in Recommender Systems[C]//2025 International Conference on Intelligent Systems and Computational Networks (ICISCN). IEEE, 2025: 1-6.

[23] Zhang, Yiru. "Design and Implementation of a Computer Network Log Analysis System Based on Big Data Analytics." Advances in Computer, Signals and Systems,(2024) 8(6),40-46.

[24] Dong, Peng. "Research and Analysis of Financial Crisis Prediction Model Based on the Fusion of Financial and Non-Financial Data with CSO Algorithm." Academic Journal of Business & Management 6.11: 56-60.

[25] Liu, Yu. "Build an Audit Framework for Data Privacy Protection in Cloud Environment." Procedia Computer Science 247 (2024): 166-175.

[26] Zhao, Yunpeng. "Research on Financial Credit Risk of Manufacturing Enterprises under Heterogeneous Data Based on Machine Learning." Academic Journal of Business & Management 6.11: 214-218.

[27] Xu, Hanyue. "Research on A New Cross-Border Barter Trade Settlement Model Based On Blockchain And Smart Contracts." Procedia Computer Science 247 (2024): 146-155.

[28] Peng, Yicheng. "Development and Design of an Intelligent Financial Asset Management System Based on Big Data Analysis and Kubernetes." Procedia Computer Science 243 (2024): 482-489.

[29] Wu, Wei. "Combination model optimization and empirical analysis of risk customer prediction in e-commerce platform based on regression model and neural network." Academic Journal of Business Management 6.12 (2024): 127-131.

[30] Huang, Tianyou. "Construction and Application of Financial Risk Warning System for Third-Party Payment Enterprises Based on Z-Score Model and Efficacy Coefficient Method." Academic Journal of Business & Management 6.12 (2024): 121-126.

[31] Gu, Yiting. "Practical Approaches to Develo**High-performance Web Applications Based on React." Frontiers in Science and Engineering 5.2 (2025): 99-105.

[32] Guo, Xingwen. "Risks and Coping Strategies in Financial Investments in the New Era." International Journal of Finance and Investment 2.1 (2025): 70-73.

[33] Wu, Linwei. "Research on Data Integration and Process Optimization in the Field of Financial Technology." International Journal of Finance and Investment 2.1 (2025): 82-86.

[34] Xu, Qianru. "Practical Applications of Large Language Models in Enterprise-Level Applications." Journal of Computer Science and Artificial Intelligence 2.2 (2025): 17-21.

[35] Guo X. Research on systemic financial risk early warning based on integrated classification algorithm[C]//2024 IEEE 2nd International Conference on Electrical, Automation and Computer Engineering (ICEACE). IEEE, 2024: 1586-1591.

[36] Guo, X. (2024). A Study on the Application of Meta-Cosmos Technology in Risk Management of Commercial Banks. Academic Journal of Science and Technology.12(3),178-181

[37] Xu, Hanyue. “Research and Practical Analysis on the Improvement Methods of Supply Chain Finance for Small and Medium-Sized Enterprises Based on Blockchain Technology.” Financial Engineering and Risk Management (2024),7(3): 118-123

[38] Peng, Yicheng"Analysis of the Impact of AI Driven Financial Security New Ecology and Green Finance on Industrial Development ."Financial Engineering and Risk Management (2024), 7(5): 84-89

[39] Fan, Yijiao "Research on Risk Spillover Measurement of Fintech System Based on DCC-GARCH and Generalized Variance Decomposition Network Model."Accounting, Financial Engineering and Risk Management (2024), 7(5): 43-50

[40] Zhao, Yunpeng "Research on Computer Aided Information Analysis Technology Based on Data Mining and Social Network Analysis."Information and Knowledge Management (2025), 6(1): 8-13

[41] Zhao, Yunpeng "Research on Interpretable Machine Learning Models for Identifying Corporate Bond Default Risk."Population, Resources & Environmental Economics (2025), 6(1): 38-45

[42] Dong,Peng "Research on Financial Performance Prediction Model of Listed Companies Based on Multi Source Data and Machine Learning Algorithms."Population, Resources & Environmental Economics (2025), 6(1): 8-13