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Review on Financial Innovations in Big Data Era

查看参考文献108篇

Xiong Xiong 1   Zhang Jin 2   Jin Xi 3 *   Feng Xu 1  
文摘 The rise of Big Data brings the financial innovation opportunities as well as challenges. This paper reviews different fields of big-data-based financial innovations as well as the scientific discoveries and theoretical breakthroughs of risk analysis with respect to these financial innovations. Based on the current research status, several key problems are put forward and their relative solutions are discussed. The three mean aspects are listed as the pricing and risk measuring for data-driven financial innovation products or services; the changes that data-driven financial innovation would bring to finance industry, which involve operation, resources allocation and ecosystem; and questions and solutions of systemic risk management based on Big Data analytics. Finally, predictions towards the hotspots frontier and developing trends for further data-driven financial innovation are proposed.
来源 Journal of Systems Science and Information ,2016,4(6):489-504 【核心库】
DOI 10.21078/JSSI-2016-489-16
关键词 big data ; financial innovation ; online information ; trends
地址

1. Department of Management and Economics, Tianjin University, Key Laboratory of Computation and Analytics of Complex Management Systems (CACMS), Tianjin, 300072  

2. Department of Management and Economics, Tianjin University, Tianjin, 300072  

3. School of Economics, Tianjin University of Finance and Economics, Tianjin, 300222

语种 英文
文献类型 研究性论文
ISSN 1478-9906
基金 国家自然科学基金 ;  Core Projects in Tianjin Education Bureaus Social Science Program
文献收藏号 CSCD:5886261

参考文献 共 108 共6页

1.  Edelman B. Using Internet data for economic research. Journal of Economic Perspectives,2012,26(2):189-206 CSCD被引 1    
2.  Varian H R. Big Data: New tricks for econometrics. Journal of Economic Perspectives,2014,28(2):3-28 CSCD被引 14    
3.  Paravisini D. Risk aversion and wealth: Evidence from person-to-person lending portfolios. National Bureau of Economic Research Working Paper,2013 CSCD被引 1    
4.  Zhang Z. Credit risk preference in e-finance: An empirical analysis of P2P lending. Pacific Asia Conference on Information Systems Working Paper,2014 CSCD被引 1    
5.  Li S. Do borrowers make homogeneous decisions in online P2P lending market? An empirical study of PPDai in China. Service Systems and Service Management (ICSSSM), 2011 8th International Conference on:1-6 CSCD被引 1    
6.  Krumme K A. Lending behavior and community structure in an online peer-to-peer economic network. Computational Science and Engineering, 2009. CSE'09. IEEE on International Conference, 4,2009:613-618 CSCD被引 1    
7.  Yum H. From the wisdom of crowds to my own judgment in microfinance through online peer-to-peer lending platforms. Electronic Commerce Research and Applications,2012,11(5):469-483 CSCD被引 10    
8.  Ceyhan S. Dynamics of bidding in a P2P lending service: Effects of herding and predicting loan success. Proceedings of the 20th international conference on World Wide Web,2011:547-556 CSCD被引 8    
9.  Li S. How friendship networks work in online P2P lending markets. Nankai Business Review International,2015,6(1):42-67 CSCD被引 3    
10.  Herzenstein M. Strategic herding behavior in peer-to-peer loan auctions. Journal of Interactive Marketing,2011,25(1):27-36 CSCD被引 18    
11.  Lee E. Herding behavior in online P2P lending: An empirical investigation. Electronic Commerce Research and Applications,2012,11(5):495-503 CSCD被引 20    
12.  Luo B. A decision tree model for herd behavior and empirical evidence from the online P2P lending market. Information Systems and e-Business Management,2013,11(1):141-160 CSCD被引 8    
13.  Li Y. The analysis of impact factors on loan performance in Chinese P2P microfinance market. Journal of Financial Research,2013(7):126-138 CSCD被引 1    
14.  Chen N. Auctions for social lending: A theoretical analysis. Games and Economic Behavior,2014,86:369-391 CSCD被引 9    
15.  Redmond U. A temporal network analysis reveals the unprofitability of arbitrage in the prosper marketplace. Expert Systems with Applications,2013,40(9):3715-3721 CSCD被引 1    
16.  Burtch G. An empirical examination of the antecedents and consequences of contribution patterns in crowd-funded markets. Information Systems Research,2013,24(3):499-519 CSCD被引 16    
17.  Lin M. Judging borrowers by the company they keep: Friendship networks and information asymmetry in online peer-to-peer lending. Management Science,2013,59(1):17-35 CSCD被引 42    
18.  Emekter R. Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending. Applied Economics,2015,47(1):54-70 CSCD被引 21    
19.  Michels J. Do unverifiable disclosures matter? Evidence from peer-to-peer lending. Accounting Review,2012,87(4):1385-1413 CSCD被引 7    
20.  Barasinska N. Is crowd funding different? Evidence on the relation between gender and funding success from a German Peer-to-Peer lending platform. German Economic Review,2014,15(4):436-452 CSCD被引 7    
引证文献 1

1 Zhu Xiangyu Big Data Analytics for Improving Financial Performance and Sustainability Journal of Systems Science and Information,2021,9(2):175-191
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