A Review of Research on Financial Data Security Regulation

Authors

  • Ruohao Chen
  • Ye Ju

DOI:

https://doi.org/10.54691/twy19k93

Keywords:

Financial data security, cross-border data flow, personal information protection, data governance.

Abstract

This paper presents a comprehensive overview of the research advancements in financial data security regulation in China, with a particular emphasis on issues pertaining to financial data security and the protection of personal financial information. The study delineates several strategies for ensuring financial data security, including the establishment of a robust security protection framework, the implementation of a "sophisticated regulation" approach, the enhancement of risk prevention measures, the creation of a comprehensive financial data classification system, and the safeguarding of financial data throughout its lifecycle. Scholars have proposed a variety of specific measures, such as the utilization of trust models and authentication technologies to bolster data security, the establishment of monitoring mechanisms for third-party data trust institutions, the adoption of technology-driven regulatory methodologies, and the improvement of cross-border financial data flow management. Furthermore, considerations regarding data quality, management challenges, the application of innovative technologies, and the competitive landscape of data sharing are critical for the standardization of financial data. Despite notable progress in both domestic and international financial data governance and regulation, several key areas remain inadequately addressed, including the establishment of uniform standards for cross-border data flows, the coordination among international regulatory bodies, and the integration of emerging technologies. Future research should adopt a more comprehensive and in-depth approach to develop an inclusive, adaptive, and forward-looking global financial data governance and regulatory framework. Such efforts are essential for promoting global financial stability and innovation while safeguarding consumer data rights and enhancing transparency and equity in financial markets.

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References

[1] Yu, Shengqi: Research on the Mode and Mechanism of Data Rights Protection (Ph.D., East China University of Politics and Law, China 2021), p. 128.

[2] Luo, Y. : Computer database security technology, Electronic Technology and Software Engineering, (2020) No. 7, p. 255-257.

[3] Sun, T., Shen, K., Gu, W. and Yang, X. : Analysis and Suggestions on the Application of Smart Financial Scenarios in 5G+IoT Environment, Modern Management Science, (2021) No. 2, p. 104-111.

[4] Tian, O. : Third-party data trusts: The dilemma of data controller obligations and its decipherment, Library Forum, Vol. 42 (2022) No. 8, p. 100-109.

[5] Yang, D. : Regulatory technology: Regulatory challenges and dimensional construction of fintech, China Social Science, (2018) No. 5, p. 69-91.

[6] Yang, F. : Research on data sharing mechanism in financial regulation, Financial Regulation Research, (2019) No. 10, p. 53-68.

[7] Su, H. : Construction of financial data regulatory model under the background of financial technology, Technology and Law, (2020) No. 1, p. 68-75.

[8] Liu, S. : Information security risk prevention in the mode of “Internet + finance”, China Management Informatization, Vol. 25 (2022) No. 18, p. 103-105.

[9] Xing, Z. : Research on IT Emergency Management Issues of the Peoples Bank of China in the Background of Financial Technology, Network Security Technology and Application, (2022) No. 04, p. 111-113.

[10] Cheng, X. : Artificial Intelligence Involvement in Consumer Finance: Motivation, Risk and Prevention and Control, Journal of Shenzhen University (Humanities and Social Sciences Edition), Vol. 38 (2021) No. 3, p. 67-76.

[11] Z. Hong and M. T. Jiao: Research on Financial Data Security Risks and Regulation, Tsinghua Financial Review, (2021) No. 10, p. 96-98.

[12] D. L. Guang: Building a data security system to help efficient application of financial data, Financial Electronic, (2021) No. 07, p. 39-40.

[13] Z. P. Yuan: Research on legal regulation of cross-border flow of financial data, Dispute Settlement, (2022) No. 8, p. 142.

[14] Z. W. Biao: Strengthening Financial Data Security System and Technical Guarantee, China Finance, (2021) No. 15, p. 39-40.

[15] Z. Z. Hui: Sound data security system for effective utilization of financial data, Financial Electronic, (2021) No. 07, p. 50-51.

[16] F. Le: Logical Evolution and Legislative Improvement of Personal Financial Information Protection, Modern Economic Discussion, (2022) No. 03, p. 124-132.

[17] C. X. Jun: Artificial Intelligence Involvement in Consumer Finance: Motivation, Risk and Prevention and Control, Journal of Shenzhen University (Humanities and Social Sciences Edition), Vol. 38 (2021) No. 3, p. 67-76.

[18] F. Kai: Review and Reflection on the Mechanism of Personal Information "Opt-Out", Global Law Review, Vol. 42 (2020) No. 4, p. 148-165.

[19] W. Yun: Problems and Countermeasures of Financial Privacy Protection in the Era of Big Data, Peoples Forum-Academic Frontier, (2021) No. 10, p. 136-139.

[20] L. S. Qi and M. Y. Ting: Protection of financial privacy in the context of big data, Financial Theory and Practice, Vol. 40 (2019) No. 4, p. 151-155.

[21] S. Jin and Y. Yingchao: Antitrust Judicial Remedies for Consumer Data Privacy Damage and Path Expansion, Law Application, (2023) No. 4, p. 22-36.

[22] M. Q. Tang: On Loan Credit and the Protection of Financial Consumers Privacy Rights, Southern Finance, (2011) No. 10, p. 74-76.

[23] Feng, W. : Innovation of Criminal Law Protection Mechanism for Personal Credit Information in the Era of Big Data, Credit Investigation, Vol. 40 (2022) No. 4, p. 31-37 + 45.

[24] X. R. Zhang: Research on the protection mode of electronic data of personal credit, Credit Information, Vol. 39 (2021) No. 12, p. 55-61.

[25] K. Tian, Q. Sun and L. Xu: An analysis of personal information protection issues in the marketized personal credit industry in the era of big data, Credit, Vol. 39 (2021) No. 7, p. 46-50.

[26] X. L. Wu: Personal Credit Information Protection in the Era of Big Data–Taking the Improvement of Personal Credit System as an Opportunity, Journal of Xiamen University (Philosophy and Social Science Edition), (2019) No. 1, p. 161-172.

[27] Y. Peng: Trade law dimensions of cross-border data privacy protection, Law Application, (2022) No. 6, p. 16-28.

[28] X. Q. Huang: Research on the Protection of Individual Private Data in Cross-border Data Flow Regulation, Credit, Vol. 38 (2020) No. 10, p. 43-48.

[29] S. Y. Wen: The Dilemma of Data Localization Requirements and Countermeasures: The Case of Financial Services Trade, Journal of International Economic Law, (2021) No. 2, p. 14-26.

[30] Y. Feng: On the Formation Rules of Global Rules for Personal Data Protection - An Exploration Centered on the EU Adequate Protection Principle, Zhejiang Journal, (2018) No. 4, p. 63-72.

[31] T. Wang: Current Situation of Cross-border Financial Data Flow Mechanism in China and Response Strategies, Foreign Trade and Economic Cooperation, (2022) No. 11, p. 74-77, 105.

[32] GUO B., LI Q., DUAN X., SHEN Y., DONG X., ZHANG H., SHEN Y., ZHANG Z., and LUO K. Personal data bank-a new model of personal big data asset management and value-added service based on banking architecture, Journal of Computing, (2017) No. 1, p. 126-143.

[33] Huang H. Status quo and improvement rules of data assetization under accounting informationization, Enterprise Economy, Vol. 40 (2021) No. 7, p. 113-119.

[34] ZHANG J. Trends and Mechanisms of Credit Data Governance in the Perspective of Digital Economy, Credit,Vol. 41 (2023) No. 2, p. 35-39.

[35] Wang G., Li Y., Chen K., Era, and Yang Z. Reflections on financial applications of privacy computing technology, Financial Development Research, (2022) No. 8, p. 31-37.

[36] LIN X. Impact of Data Crawling Technology on Financial Information Security and Institutional Response, Journal of Beijing University of Aeronautics and Astronautics (Social Science Edition),Vol. 35 (2022) No. 4, p. 161-169.

[37] Cai L.-N. Participation of Data Trust in Data Governance: Theoretical Logic and Realization Mechanism, Financial Review, Vol. 14 (2022) No. 1, p. 66-79, 123.

[38] License, Y. Z. Open circulation and sharing of financial data, China Finance, (2019) No. 4, p. 89-90.

[39] Xing H.-Q. Protection and utilization of personal financial information in the era of big data, Oriental Law, (2021) No. 1, p. 47-60.

[40] Chen M. Open banking innovation from the perspective of data sharing mechanism, New Finance, (2020) No. 5, p. 33-37.

[41] Xing H.-Q. Protection and utilization of personal financial information in the era of big data, Oriental Law, (2021) No. 1, p. 47-60.

[42] H. He and F. Li: New type of monopoly in digital economy: analysis of causes, typical forms and legal regulation–Analysis of risk prevention and control of financial technology, Financial Theory and Practice, (2023) No. 1, p. 25-34.

[43] F. Xie and Y. Wu: Platform competition, triple monopoly and financial integration, Economics Dynamics, (2021) No. 10, p. 34-47.

[44] H. He and F. Li: New type of monopoly in digital economy: analysis of causes, typical forms and legal regulation–Another discussion on risk prevention and control of financial technology, Financial Theory and Practice, (2023) No. 1, p. 25-34.

[45] M. Chen: A study on the pan-financialization of platform economy and the regulation of fintech - based on the perspective of data elements, New Finance, (2022) No. 10, p. 32-38.

[46] N. Liu and H. Lv: Fintech Data Monopolization: Sources, Risks and Governance, Financial Science, (2022) No. 3, p. 44-57.

[47] M. Han: Analysis of the current situation of digital finance development, Journal of Economic Research, (2022) No. 11, p. 113-115.

[48] Z. Xuechun and T. Xiaoxue: Handling the relationship between data and financial business is the core of antitrust for platform companies, Financial Economy, (2021) No. 5, p. 3-4.

[49] M. Zhang: Legal Regulation of Data Monopolization in the Financial Industry under the Background of Digital Economy–Taking Large Technology Companies Involvement in the Financial Industry as an Entry Point, Journal of Dalian Maritime University (Social Science Edition), Vol. 20 (2021) No. 3, p. 24-32.

[50] H. He and F. Li: New type of monopoly in digital economy: analysis of causes, typical forms and legal regulation–Analysis of risk prevention and control of financial technology, Financial Theory and Practice, (2023) No. 1, p. 25-34.

[51] F. SUN: Research on the Symbiotic Development of Financial Industry and Internet Platform under the Perspective of Data Monopoly, Southwest Finance, (2021) No. 3, p. 28-38.

[52] F. S. Feng and J. Yang: Role mechanism of digital RMB in preventing data monopoly risk of Internet platform, Reform, (2021) No. 12, p. 69-80.

[53] Z. Xuechun and T. Xiaoxue: Handling the relationship between data and financial business is the core of antitrust for platform companies, Financial Economy, (2021) No. 5, p. 3-4.

[54] L. Nailiang and L. Haojie: Fintech Data Monopolization: Sources, Risks and Governance, Financial Science, (2022) No. 3, p. 44-57.

[55] C. Meng: A study on the pan-financialization of platform economy and the regulation of fintech - based on the perspective of data elements, New Finance, (2022) No. 10, p. 32-38.

[56] X. Fusheng and W. Yue: Platform competition, triple monopoly and financial integration, Economics Dynamics, (2021) No. 10, p. 34-47.

[57] Z. Jia: Research on Antitrust Regulation Policy of Internet Finance, New Finance, (2021) No. 9, p. 57-62.

[58] L. Zheng and Y. Ronghua: Research on financial data standardization, Standard Science, (2022) No. 9, p. 42-46.

[59] C. Zhenyun: Three dimensions of the legal construction of financial data governance in China, Journal of Guizhou University (Social Science Edition), Vol. 40 (2022) No. 5, p. 80-92.

[60] Y. Fuyu: Promoting financial data standardization, China Finance, (2020) No. 22, p. 29-31.

[61] L. Xiaoxin: Financial data standardization under the framework of integrated financial sector statistics and international reference, Financial Development Research, (2019) No. 12, p. 58-62.

[62] MA Y., KONG G. Research on Issues Related to Cross-border Data Flow of China's Internet Financial Enterprises, Price Theory and Practice, (2020) No. 4, p. 152-155.

[63] GUO D., LI X. Rule of Law Safeguard for Cross-border Flow of Personal Financial Data in China, Journal of Henan University of Finance and Law, Vol. 37 (2022) No. 6, p. 80-88.

[64] MA G., BU X.C. Construction of Financial Information Transmission Rules in Free Trade Agreements, Finance and Economics Law, (2022) No. 6, p. 111-124.

[65] ZHENG Z. Autonomous Construction of Digital Jurisprudence in Contemporary China, Legal Science (Journal of Northwest University of Politics and Law), (2024) No. 2, p. 83.

[66] ZHONG H., YANG X. Research on Security and Regulation of Cross-border Flow of Financial Data, New Finance, (2022) No. 9, p. 38-44.

[67] SZE W.-P. The Evolution of Governance of Cross-border Transfer of Personal Data in the EU, the Paradigm and Its Mirror, Science and Technology Management Research, Vol. 43 (2023) No. 20, p. 212.

[68] LAI X., GUO Z. Quantitative Analysis of Legal Risks of Cross-border Flow of Financial Data and Suggestions for Regulation, Financial Regulation Research, (2024) No. 4 , p. 2.

[69] PENG D., ZHANG Z. Research on the Risks and Regulation of Cross-border Flow of Financial Data in the Digital Era, International Business Research, Vol. 13 (2022) No. 1, p. 14-25.

[70] LIN J., TIAN C. Study on the Regulation of Cross-border Flow of Personal Financial Data, Journal of Shanghai University (Social Science Edition), Vol. 38 (2021) No. 6, p. 95-107.

[71] H. Han, S. Chen, J. Liu, and H. Chen: Data Ethics, National Security and Overseas Listing: A Case Study Based on DDT, Finance and Accounting Monthly, (2021) No. 15, p. 13-23.

[72] Z. Hong, Y. X. Yu: Research on Security and Regulation of Cross-border Flow of Financial Data, New Finance, (2022) No. 9, p. 38-44.

[73] D. Peng, Z. Zhang: Research on the Risks and Regulation of Cross-border Flow of Financial Data in the Digital Era, International Business Research, (2022) No. 1, p. 14-25.

[74] J. Lin, C. Tian: Study on the Regulation of Cross-border Flow of Personal Financial Data, Journal of Shanghai University (Social Science Edition), (2021) No. 6, p. 95-107.

[75] T. Di, M. Gao, Q. Wang and L. Yang: International Experience of Data Governance and Implications for Improving Cross-border Management of Credit Data in China, Credit Information, Vol. 39 (2021) No. 11, p. 1-7.

[76] H. Han, S. Chen, J. Liu and H. Chen: Data Ethics, National Security and Overseas Listing: A Case Study Based on DDT, Finance and Accounting Monthly, (2021) No. 15, p. 13-23.

[77] K. Katterbauer, S. Hassan and L. Cleenewerck: Financial Cybercrime in the Islamic Finance Metaverse, Journal of Metaverse, Vol. 2 (2022) No. 2, p. 56-61.

[78] A. Kiayias, M. Kohlweiss and A. Sarencheh: PEReDi: Privacy-Enhanced, Regulated and Distributed Central Bank Digital Currencies, Proc. 2022 ACM SIGSAC Conference on Computer and Communications Security (Los Angeles, CA, USA, November 7-11, 2022), p. 1739-1752.

[79] P. Langley and A. Leyshon: The Platform Political Economy of FinTech: Reintermediation, Consolidation and Capitalization, New Political Economy, Vol. 26 (2021) No. 3, p. 376-388.

[80] K. Judge: Information gaps and shadow banking, Va. L. Rev., Vol. 103 (2017) No. 3, p. 101-174.

[81] B. Eichengreen: Financial regulation in the age of the platform economy, Journal of Banking Regulation, Vol. 24 (2021) No. 3, p. 40-50.

[82] R. Jaiswal and B. Singh: Financial fraud prevention with synthetic data generation using GAN, Arya Bhatta Journal of Mathematics and Informatics, Vol. 14 (2022) No. 2, p. 161-166.

[83] Asimadi E, Reiff-Marganiec S, Donnelly B, et al. Semantic Approach to Financial Data Integration for Enabling New Insights, Joint Proceedings of the Posters and Demos Track of the 12th International Conference on Semantic Systems - SEMANTiCS 2016 and the 1st International Workshop on Semantic Change & Evolving Semantics (SuCCESS16) (Vienna, Austria, September 19-22, 2016), Vol. 1, p. 17-20.

[84] L. Alexander, S.R. Das, Z. Ives and et al. Research Challenges in Financial Data Modeling and Analysis, Big Data, Vol. 5 (2017) No. 3, p. 177-188.

[85] A.M. Muiyuro: An Information Technology Controls Evaluation Prototype for Financial Institutions in Kenya (M.S., Strathmore University, Kenya 2017), p. 1-84.

[86] Bellomarini, L., Blasi, L., Laurendi, R. and et al. Financial Data Exchange with Statistical Confidentiality, Proc. 24th International Conference on Extending Database Technology (Nicosia, Cyprus, March 23-26, 2021), Vol. 1, p. 558-569.

[87] Boissay, F., Ehlers, T., Gambacorta, L., et al. Big Techs in Finance (Springer International Publishing, Switzerland 2021).

[88] J. Kregel and P. Savona: The Impact of Technological Innovations on Money and Financial Markets (2020). Information on https://www.levyinstitute.org/publications/the-impact-of-technological-innovations-on-money-and-financial-markets.

[89] K. Judge and R. Berner: The Data Standardization Challenge, Systemic Risk in the Financial Sector: Ten Years After the Great Crash, CIGI Press, (2019) No.438 p.300-325.

[90] S. Karkošková: Data Governance Model To Enhance Data Quality In Financial Institutions, Information Systems Management, Vol. 40 (2022) No. 1, p. 90-110.

[91] A. Neulinger: Towards a Comparison Framework for Blockchain Interoperability Implementations, 2022 IEEE Crosschain Workshop (Shenzhen, China, October 31 - November 2, 2022), p. 1-3.

[92] E. Asimadi, S. Reiff-Marganiec, B. Donnelly, et al. Semantic Approach to Financial Data Integration for Enabling New Insights, Joint Proceedings of the Posters and Demos Track of the 12th International Conference on Semantic Systems and the 1st International Workshop on Semantic Change & Evolving Semantics (Vienna, Austria, September 12-15, 2016). Vol. 1, p. 17-20.

[93] L. Alexander, S.R. Das, Z. Ives, et al. Research Challenges in Financial Data Modeling and Analysis, Big Data, Vol. 5 (2017) No. 3, p. 177-188.

[94] M. Maiti, D. Vuković, A. Mukherjee, et al. Advanced Data Integration in Banking, Financial, and Insurance Software in the Age of COVID-19, Software: Practice and Experience, Vol. 52 (2022) No. 4, p. 887-903.

[95] F.J.I.A. Azzawi: Data Mining in a Credit Insurance Information System for Bank Loans Risk Management in Developing Countries, International Journal of Business Intelligence and Data Mining, Vol. 18 (2021) No. 3, p. 291-308.

[96] J.D. Farmer, A.M. Kleinnijenhuis and T. Wetzer: Stress Testing the Financial Macrocosm, Cambridge Handbook of Systemic Risk (2022), p. 300-325.

[97] G. Pernagallo and B. Torrisi: A Theory of Information Overload Applied to Perfectly Efficient Financial Markets, Review of Behavioral Finance, Vol. 14 (2022) No. 2, p. 223-236.

[98] S.R. Das, S. Kim and D.N. Ostrov: Dynamic Systemic Risk: Networks in Data Science, The Journal of Financial Data Science, Vol. 1 (2019) No. 1, p. 141-158.

[99] L. Fan, M.D. Flood and J. Grant: Measuring Inconsistency in Bank Holding Company Data, Proc. 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets (Amsterdam, Netherlands, June 30, 2019). Vol. 1, p. 1-5.

[100] M. Bijlsma, M. de Castro Campos, R. Chaudron, et al. Building a Multilayer Macro-Network for the Netherlands: A New Way of Looking at Financial Accounts and International Investment Position Data, IFC Bulletins Chapters, p. 49.

[101] J. Mancini: Data Portability, Interoperability and Digital Platform Competition: OECD Background Paper, Competition Policy International Antitrust Chronicle, Vol. 2021 (2021) No. 2, p. 1-6.

[102] J. Chaisse: ‘The Black Pit:’ Power and Pitfalls of Digital FDI and Cross-Border Data Flows, World Trade Review, Vol. 22 (2023) No. 1, p. 73-89.

[103] Q. Zhang and A.E. Mitchell: Data Localization and the National Treatment Obligation in International Investment Treaties, World Trade Review, Vol. 21 (2021) No. 4, p. 391-410.

[104] A.N. Artemova: Legal Regulation of Cross-Border Transfer of Personal Data, Legal Science and Practice, Vol. 19 (2023) No. 3, p. 9-16.

[105] D. Popović, S.V. Kostić: Legal Certainty and Taxation: The Problem of Retroactive Interpretation, Annals FLB – Belgrade Law Review, Vol. 66 (2018) No. 4, p. 38-55.

[106] J. Chaisse, C. Bauer: Cybersecurity and the Protection of Digital Assets – Assessing the Role of International Investment Law and Arbitration, Vanderbilt Journal of Entertainment & Technology Law, Vol. 21(2019), No. 3 , p. 549-589.

[107] Mishra, Neha & Palacio Valencia, Ana Maria. “Digital Services and Digital Trade in the Asia Pacific: An Alternative Model for Digital Integration?” Asia Pacific Law Review, Vol. 31(2023), No. 2 , p. 489-513.

[108] Hammad, A. A., Khan, A. and Soomro, N. Digital Economy Barriers to Trade: Regulation Status, Challenges, and Chinas Response, International Journal of Social Sciences Perspectives, Vol. 8 (2021) No. 2, p. 41-49.

[109] Liu, C. W. Conceptualising private fintech platforms as financial statecraft and recentralisation in China, New Political Economy, Vol. 28 (2023) No. 3, p. 433-451.

[110] Croxson, K., Frost, J., Gambacorta, L. and et al. Platform-based business models and financial inclusion: policy trade-offs and approaches, Journal of Competition Law & Economics, Vol. 19 (2023) No. 1, p. 75-102.

[111] Klinge, T. J., Hendrikse, R., Fernandez, R. and et al. Augmenting digital monopolies: a corporate financialization perspective on the rise of Big Tech, Competition & Change, Vol. 27 (2023) No. 2, p. 332-353.

[112] Birch, K., Chiappetta, M., Artyushina, A. The problem of innovation in technoscientific capitalism: data rentiership and the policy implications of turning personal digital data into a private asset, Policy Studies, Vol. 41 (2020) No. 5, p. 468-487.

[113] Boot, A. W. A., Hoffmann, P., Laeven, L., et al. Financial intermediation and technology: whats old, whats new? Review of Financial Studies, Vol. 33 (2020) No. 3, p. 1152-1192.

[114] Petry, J. From national marketplaces to global providers of financial infrastructures: Exchanges, infrastructures and structural power in global finance, New Political Economy, Vol. 26 (2021) No. 4, p. 574-597.

[115] Feldman, M., Guy, F., & Iammarino, S. Regional income disparities, monopoly and finance, Cambridge Journal of Regions, Economy and Society, Vol. 14 (2021) No. 1, p. 25-49.

[116] Marbuah, G., & Maltais, A. Financial flows of five leading banks in Sweden since the Paris Agreement, Journal of Sustainable Finance & Investment, Vol. 12 (2022) No. 4, p. 372-390.

[117] Zachariadis, Markos, Data-Sharing Frameworks In Financial Services: Discussing Open Banking Regulation for Canada (August 25, 2020). Available at SSRN: https://ssrn.com/abstract=2983066 or http://dx.doi.org/10.2139/ssrn.2983066

[118] Borgogno, O. and Colangelo, G. The data sharing paradox: BigTechs in finance, European Competition Journal, Vol. 16 (2020) No. 2-3, p. 492-511.

[119] Hurwitz, Justin (Gus). “Digital Duty to Deal, Data Portability, and Interoperability.” The Global Antitrust Institute Report on the Digital Economy, November 11, 2020, p. 28. Available at SSRN: https://ssrn.com/abstract=3733744 or http://dx.doi.org/10.2139/ssrn.3733744.

[120] N.R. Mosteanu and A. Faccia: Digital systems and new challenges of financial management-FinTech, XBRL, blockchain and cryptocurrencies, Quality-Access to Success Journal, Vol. 21 (2020) No. 174, p. 159-166.

[121] M. Maiti, D. Vuković, A. Mukherjee, et al. Advanced data integration in banking, financial, and insurance software in the age of COVID-19, Software: Practice and Experience, Vol. 52 (2022) No. 4, p. 887-903.

[122] K. Croxson, J. Frost, L. Gambacorta, et al. Platform-based business models and financial inclusion: policy trade-offs and approaches, Journal of Competition Law & Economics, Vol. 19 (2023) No. 1, p. 75-102.

[123] White, O., Madgavkar, A., Townsend, Z., et al. (2021). Financial data unbound: The value of open data for individuals and institutions. McKinsey Global Institute. Retrieved from https:// thelivinglib.org/financial-data-unbound-the-value-of-open-data-for-individuals-and-institutions/

[124] J. Patel: Bridging data silos using big data integration, International Journal of Database Management Systems, Vol. 11 (2019) No. 3, p. 1-6.

[125] L. Alexander, S.R. Das, Z. Ives and et al. Research challenges in financial data modeling and analysis, Big Data, Vol. 5 (2017) No. 3, p. 177-188.

[126] J.E. Boritz and W.G. No: How significant are the differences in financial data provided by key data sources? A comparison of XBRL, Compustat, Yahoo! Finance, and Google Finance, Journal of Information Systems, Vol. 34 (2020) No. 3, p. 47-75.

[127] L. Quaglia and A. Spendzharova: Regime complexity and managing financial data streams: the orchestration of trade reporting for derivatives, Regulation & Governance, Vol. 16 (2022) No. 2, p. 588-602.

[128] R. Berner and K. Judge: The Data Standardization Challenge, in Systemic Risk in the Financial Sector: Ten Years After the Great Crash, edited by D.W. Arner, E. Avgouleas, D. Busch, and S.L. Schwarcz (CIGI Press, forthcoming January 27, 2019), Columbia Law and Economics Working Paper No. 598, European Corporate Governance Institute (ECGI) - Law Working Paper No. 438/2019. Available at SSRN: https://ssrn.com/abstract=3323719.

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2024-11-18

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Chen, R., & Ju, Y. (2024). A Review of Research on Financial Data Security Regulation. Frontiers in Humanities and Social Sciences, 4(11), 71-89. https://doi.org/10.54691/twy19k93