Abstract:Under the development of the Internet finance, supernetwork theory was included to study the increasingly complex financial network. A framework was developed for modeling, analysis and solutions to multitiered Internet financial network problems with investors, Internet financial intermediaries, traditional intermediaries and investees. The competitive and cooperative relationships between various decision-makers were explicated, as well as their behavior and optimality conditions. Functions of credit risk and operational risk were included, considering the increasing credit risk and operational risk in the environment of Internet. Using the variational inequality theory, the existence and uniqueness of the equilibrium solution is studied.The governing equilibrium conditions of the Internet financial network is also given so that the trend and saturation condition of Internet finance can be studied later. Finally, a simulation example is given to verify the validity of the supernetwork model.
基金资助:Marie Curie International Incoming Fellowship within the 7th European Community Framework Programme(FP7-PIIF-GA-2013-629051);中央高校基本科研业务费专项资金(NJ20140033,NR2015003);江苏高校哲学社会科学研究项目(2015SJD039)
作者简介: 张婷(1991-),女,江苏昆山人,硕士研究生,主要研究方向为金融工程。
引用本文:
张婷, 米传民. 基于超网络的互联网金融均衡问题研究[J]. 复杂系统与复杂性科学, 2016, 13(2): 36-43.
ZHANG Ting, MI Chuanmin. Study on Internet Financial Equilibrium Problem Based on Supernetwork[J]. Complex Systems and Complexity Science, 2016, 13(2): 36-43.
[1] 谢平,邹传伟. 互联网金融模式研究[J].金融研究, 2012, (12): 11-22. Xie Ping,ZouChuanwei.Research of Internet finance model[J].Journal of Financial Research, 2012, (12): 11-22. [2] 柯珂, 樊智, 佘震宇, 等. 超网络时代的电子金融和风险管理[J].上海理工大学学报, 2011, (3):258-263. Ke Ke, Fan Zhi, Yu Zhenyu, et al. Electronic finance and risk management in the supernetwork age[J].Journal of University of Shanghai for Science and Technology, 2011, (3):258-263. [3] 宗潇泳. 互联网金融相关理论问题探析[J].经营管理者, 2014, (5): 42. ZongXiaoyong. Related theoretical analysis of internet finance[J].Managers’ Journal, 2014, (5): 42. [4] 温信祥, 叶晓璐. 法国互联网金融及启示[J].中国金融, 2014, (2): 75-77. Wen Xinxiang, Ye Xiaolu.French internet finance and enlightenment[J].China Finance, 2014, (2): 75-77. [5] 喻平, 蒋宝珠. 广义虚拟经济视角下的互联网金融发展研究[J].广义虚拟经济研究, 2014, (1): 60-68. Yu Ping, Jiang Baozhu. The research on the development of internet finance based on the view of generalized virtual economy[J].Research on the Generalized Virtual Economy, 2014, (1): 60-68. [6] Ilias S, Maria K. Investigating the determinants of internet banking adoption in greece[J].Procedia Economics and Finance, 2014, (9): 501-510. [7] Eunkyoung L, Byungtae L. Herding behavior in online P2P lending: an empirical investigation[J].Electronic Commerce Research and Applications, 2012, 5(11): 495-503. [8] Booth G, Gurun U G, Zhang H. Financial networks and trading in bond markets[J].Journal of Financial Markets, 2014, 18: 126-157. [9] Nagurney A, Dong J. Supernetworks: Decision-Making in the Information Age[M].Cheltenham:Edward Elgar Publishing, 2002. [10] Nagurney A, Ke K. Financial networks with electronic transactions: modeling, analysis, and computations[J].Quantitative Finance,2003, 3(2): 71-87. [11] Nagurney A, Ke K. Financial networks with intermediation: risk management with variable weights[J].European Journal of Operational Research, 2006, 172(1): 40-63. [12] Solorzano-Margain J P, Martinez-Jaramillo S, Lopez-Gallo F. Financial contagion: extending the exposures network of the Mexican financial system[J].Computational Management Science, 2013, 10: 125-155. [13] 张哲. 基于变分不等式的金融超网络[D].大连: 大连海事大学, 2010. Zhang Zhe. Research of financial supernetwork based on variationalinqualities[D].Dalian: Dalian Maritime University, 2010. [14] Dong J, Nagurney A. Bicriteria decision making and financial equilibrium: a variational inequality perspective[J].Computational Economics, 2001, 17(1): 29-42. [15] Nagurney A, Ke K. Financial networks with intermediation[J].Quantitative Finance, 2001, 1(4): 441-451. [16] Nagurney A, Cruz J. International financial networks with intermediation: modeling, analysis, and computations[J].Computational Management Science, 2003, 1(1): 31-58.