|
|
Financial Intelligence Studies in Digital Finance Era: Discipline Status, Discipline Connotations, and Research Directions |
Ding Xiaowei |
School of Information Management, Nanjing University, Nanjing 210023 |
|
|
Abstract The actual status of Financial Intelligence Studies is very different from what it should be. This situation needs to be changed. With the advent of the Digital Finance era, the author advocates building a next-generation digital financial information foundational infrastructure, architecture, computing paradigm, and integrated innovation incubation platform based on Blockchain Driven Trustable Big Data and Trustable Artificial Intelligence (AI) Technology. The next generation of Finance characterized by Digital Finance provides rich theoretical nourishment, practical experience, and realistic scenes for the discipline of Financial Intelligence Studies and provides an excellent opportunity for original academic research. Original theoretical and practical research on Financial Intelligence Studies will feed-back and boost the vigorous development of the Next-Generation Finance. The development of the Next-Generation Finance needs the support of the original theory of Financial Intelligence Studies, which can help answer the questions such as the direction that financial innovation should take in the future. Financial Intelligence Studies can build its discipline system, academic system, and discourse system around the Next-Generation Finance. In the light of the Next-Generation Finance, the discipline connotation of Financial Intelligence Studies includes: basic cognition of Financial Intelligence discipline; handling of financial information, knowledge and intelligence; monitoring and early-warning financial risks from the perspective of Financial Intelligence; under the realistic conditions of technology empowerment, studying the Next-Generation Finance from the perspective of Financial Intelligence; and carrying out Financial Intelligence research according to the practical needs of continuous development. The systematic framework of Financial Intelligence Studies includes: foundational infrastructure level, theoretical basis level, computing paradigm level, and application practice level. The research directions of Financial Intelligence Studies in the Digital Finance era mainly include: financial risk prevention and control and financial security, regulatory technology and financial order optimization, integrity and innovation in the financial field, and the connection and game of world finance dominated by China and the United States.
|
Received: 04 May 2021
|
|
|
|
1 吴光伟. 谈谈金融情报[J]. 情报学刊, 1992(5): 396-399. 2 吴光伟. 金融情报[M]. 上海: 同济大学出版社, 1992: 33. 3 郭俊义. 情报研究与金融系统[J]. 情报探索, 1995(4): 35-36. 4 彭靖里, 陆家康. 我国金融情报研究与应用的现状及存在问题分析[J]. 现代情报, 2011, 31(3): 23-26, 31. 5 王幸平. 金融情报学[M]. 北京: 金城出版社, 2018. 6 丁晓蔚, 苏新宁. 金融情报学: 情报学的重要分支学科[J]. 情报学报, 2020, 39(2): 158-170. 7 任福兵. 美国次贷危机中金融情报缺失分析[J]. 现代情报, 2008, 28(12): 201-204. 8 令狐伟, 阮建海. 我国金融情报研究综述[J]. 情报探索, 2011(2): 12-14. 9 侯合心, 冯乾. 国际反洗钱金融情报集团组织体系进展与启示[J]. 上海金融, 2014(10): 30-36. 10 张立光, 胥凤红, 张佳娟. 行政型国家金融情报机构数据分享机制——基于美国经验的借鉴[J]. 金融与经济, 2019(10): 79-83. 11 陈捷, 李斯琦, 韩静. 金融情报制度与国家情报法的关系初探[J]. 北方金融, 2019(9): 3-8. 12 兰立宏. 我国反洗钱与反恐怖融资金融情报信息交换机制优化研究——基于国际标准的视角[J]. 金融监管研究, 2020(10): 69-84. 13 田昆. 信用风险信息不对称下的金融问题研究[D]. 上海: 上海交通大学, 2014. 14 马运全. 个人金融信息管理: 隐私保护与金融交易的权衡[D]. 济南: 山东大学, 2014. 15 唐黎. 金融时间序列预测的信息融合与计算智能模型[D]. 成都: 电子科技大学, 2018. 16 尹梦琦. 金融账户涉税情报交换制度新发展及中国的应对[D]. 上海: 华东政法大学, 2017. 17 毛梦煜. 我国税收情报自动交换制度研究——以金融机构税收情报交换的最新发展为视角[D]. 上海: 上海交通大学, 2017. 18 李洁. 金融情报机构国际比较分析[D]. 北京: 对外经济贸易大学, 2007. 19 王旭. 关于反恐金融情报国际合作的研究[D]. 上海: 上海社会科学院, 2018. 20 Sathye M, Patel C. Developing financial intelligence: an assessment of the FIUs in Australia and India[J]. Journal of Money Laundering Control, 2007, 10(4): 391-405. 21 Rudner M. Using financial intelligence against the funding of terrorism[J]. International Journal of Intelligence and CounterIntelligence, 2006, 19(1): 32-58. 22 Gottselig G, Underwood S. Financial intelligence units: an overview[M]. Washington, D.C.: International Monetary Fund, World Bank, 2004: 87. 23 Parker M, Taylor M. Financial intelligence: a price worth paying?[J]. Studies in Conflict & Terrorism, 2010, 33(11): 949-959. 24 Levi M. Combating the financing of terrorism: a history and assessment of the control of ‘threat finance’[J]. The British Journal of Criminology, 2010, 50(4): 650-669. 25 Cross C. Using financial intelligence to target online fraud victimisation: applying a tertiary prevention perspective[J]. Criminal Justice Studies, 2016, 29(2): 125-142. 26 Lowe R J. Anti-money laundering—the need for intelligence[J]. Journal of Financial Crime, 2017, 24(3): 472-479. 27 Naheem M A. TBML suspicious activity reports—a financial intelligence unit perspective[J]. Journal of Financial Crime, 2018, 25(3): 721-733. 28 Casas C A. Informatics: proposing a new information technology discipline for financial planning[J]. Journal of Financial Planning, 2008, 21(4): 62-68. 29 Flood M D. Embracing change: financial informatics and risk analytics[J]. Quantitative Finance, 2009, 9(3): 243-256. 30 Walters J. Towards a discipline of financial informatics[J/OL]. SSRN Electronic Journal, (2014-08-25). http://dx.doi.org/10.2139/ssrn.2122059. 31 赵聪, 李方犁. 新时代金融理论发展趋势研究[J]. 全国流通经济, 2019(32): 132-133. 32 金融很重要, 是现代经济的核心. 金融搞好了, 一着棋活, 全盘皆活[EB/OL]. (2019-08-27). http://cpc.people.com.cn/n1/2019/0827/c367206%2D31319958.html. 33 丁晓蔚, 苏新宁. 基于区块链可信大数据人工智能的金融安全情报分析[J]. 情报学报, 2019, 38(12): 1297-1309. 34 苏新宁. 新时代情报学教育的使命与定位[J]. 情报学报, 2020, 39(12): 1245-1252. 35 习近平. 深化金融供给侧结构性改革, 增强金融服务实体经济能力[N]. 人民日报, 2019-02-24(1). 36 美国联合11国“围攻”, 俄罗斯或被踢出SWIFT? 俄寄望于数字人民币[EB/OL]. (2021-04-22) [2021-05-15]. http://finance.sina.com.cn/roll/2021-04-22/doc-ikmyaawc1248411.shtml. 37 辞海编辑委员会. 辞海[M]. 上海: 上海辞书出版社, 2000: 2045. 38 刘植惠. 关于情报学的概念、属性和功能的探讨[J]. 重庆图情研究, 2007(1): 1-4, 62. 39 杨建林, 苗蕾. 情报学学科建设面临的主要问题与发展方向[J]. 科技情报研究, 2019, 1(1): 29-50. 40 包昌火, 刘彦君, 张婧, 等. 中国情报学论纲[J]. 情报杂志, 2018, 37(1): 1-8. 41 新华社. 习近平: 金融活经济活, 金融稳经济稳[EB/OL]. (2017-04-26) [2021-04-30]. http://www.xinhuanet.com/politics/2017-04/26/c_1120879349.htm. 42 习近平主持中共中央政治局第二次集体学习并讲话[EB/OL]. (2017-12-09). http://www.gov.cn/xinwen/2017-12/09/content_5245520.htm. 43 中共中央、国务院关于构建更加完善的要素市场化配置体制机制的意见[EB/OL]. (2020-04-09). http://www.gov.cn/zhengce/2020-04/09/content_5500622.htm. 44 发改委举行4月份例行新闻发布会[EB/OL]. (2020-04-20). http://www.scio.gov.cn/xwfbh/gbwxwfbh/xwfbh/fzggw/Document/1677563/1677563.htm. 45 苏新宁. 不忘初心、牢记使命, 展望情报学与情报工作的未来[J]. 科技情报研究, 2019, 1(1): 1-12. 46 What is digital finance?[EB/OL]. [2021-07-09]. https://ec.europa.eu/info/business-economy-euro/banking-and-finance/digital-finance_en. 47 Digital finance[EB/OL]. [2021-07-09]. https://www.gartner.com/en/finance/glossary/digital-finance. 48 孙建军, 李阳. 科学大数据: 范式重塑与价值实现[J]. 图书与情报, 2017(5): 20-26. 49 包昌火, 马德辉, 李艳. Intelligence视域下的中国情报学研究[J]. 情报杂志, 2015, 34(12): 1-6, 47. 50 沈固朝. 两种情报观: Information还是Intelligence?——在情报学和情报工作中引入“Intelligence”的思考[J]. 术语标准化与信息技术, 2009(1): 22-30. 51 谢晓专. 情报学“名不副实”的尴尬及其解决之道[J]. 情报资料工作, 2010(3): 14-19. 52 苏新宁. 大数据时代情报学与情报工作的回归[J]. 情报学报, 2017, 36(4): 331-337. 53 周蓓蓓. 图书情报分析在金融大数据领域的应用[J]. 南京理工大学学报(社会科学版), 2018, 31(4): 88-92. 54 吕华揆, 洪亮, 马费成. 金融股权知识图谱构建与应用[J]. 数据分析与知识发现, 2020, 4(5): 27-37. 55 苏新宁. 坚定守正与拓展, 增强情报学话语能力[J]. 情报科学, 2021, 39(1): 3. 56 习近平. 携手推进“一带一路”建设——在“一带一路”国际合作高峰论坛开幕式上的演讲[N]. 人民日报, 2017-05-15(3). 57 姚前. 基于区块链的区域股权市场创新试点[J]. 中国金融电脑, 2021(1): 11-13. 58 姚前. 基于区块链的新型金融市场基础设施[J]. 中国金融, 2019(23): 24-26. 59 Diem Association[EB/OL]. [2021-05-21]. https://www.diem.com/en-us/. 60 腾讯智慧金融白皮书[EB/OL]. (2018-04-21) [2021-04-05]. https:// www.sohu.com/a/229013209_790142. 61 中证登总经理姚前: “数字资产和数字金融”演讲全文[EB/OL]. (2019-09-24) [2021-05-20]. https://www.iyiou.com/analysis/2019 0924113548. |
|
|
|