Computer Science ›› 2013, Vol. 40 ›› Issue (6): 111-115.

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Liquidity Risk Measurement and Analysis of Large-value Payment System

SHUAI Qing-hong,FANG Ling,KUANG Yuan-jing and LUO Yang   

  • Online:2018-11-16 Published:2018-11-16

Abstract: Payment system is one of the most important financial infrastructure of a nation.LVPS is an important part of the payment system,and it is more quick,more accurate,more safe than other settlements.Therefore,it is important to improve the liquidity of the LVPS to reduce the liquidity risk of the system.Based on the modeling,this paper quantified the indicators of liquidity demand and settlement delay,and used panel data to set up random effect model to mea-sure the probability of potential liquidity of the LVPS.

Key words: Liquidity,Panel data,Random effect model

[1] Bhattacharya J,Haslag J H,Martin A.Why does overnight liqui-dity cost more than intraday liquidity? [J].Journal of Economic Dynamics and Control,2009(6):1236-1246
[2] Merrouche O,Schanz J.Banks’intraday liquidity managementduring operational outages[J].Theory and evidence from the UK payment system,2010(2):314-323
[3] Fecht F,Nyborg K G,Rocholl J.The price of liquidity:Theeffects of market conditions and bank characteristics[J].Journal of Financial Economics,2011(11):344-362
[4] Borio,Bergh V D.The nature and management of payment system risks:an international perspective[N].BIS papers,1993
[5] McAndrews J J,Wasilyew G.Simulations of failure in a payment system[A]∥Leinonen H,ed.Liquidity,Risks and Speed in Payment and Settlement Systems a Simulation Approach[C].Finland:Bank of Finland Studies,2005:230-247
[6] Johnson K,McAndrews J J,Soramki K.Economising liquidity with deferred settlement mechanisms[A]∥Leinonen H,ed.Liquidity,Risks and Speed in Payment and Settlement Systems a Simulation Approach[C].Finland:Bank of Finland Studies,2005:180-215
[7] Ledrut E.How can banks control their exposure to a failing participant? [A]∥Leinonen H,ed.Simulation Studies of Liquidity Needs,Risks and Efficiency in Payment Networks [C].Finland:Scientific monographs,2007:228-252
[8] Schmitz S,Puhr C.Structure and stability in payment networks-A panel data analysis of ARTIS simulations[A]∥Leinonen H,ed.Simulation Analyses and Stress Testing of Payment Networks [C].Finland:Scientific monographs,2009:146-185
[9] Galbiati M,Soramki K.An agent-based model of payment systems[A]∥Leinonen H,ed.Simulation analyses and stress testing of payment networks [C].Finland:Scientific monographs,2009:316-336
[10] Galbiati M,Soramki K.Liquidity-saving mechanisms and bank behavior[N].Bank of England:Working Paper No.400,2010
[11] 贺培.支付系统监督:开放条件下维系金融安全的重要途径[J].国际金融研究,2005(11):67-72
[12] 马征.支付系统风险分析与控制[J].济南金融,2005(9):51-52
[13] 郑建,何秀华.大额支付系统运行中风险分析及防范途径[J].金融实务,2005(12):55-56
[14] 柴小卉,靳力华.加强我国现代化支付系统风险管理的思考[J].金融研究,2006(3):138-145
[15] 付泽宇.中国现代化支付清算系统的发展及思考[J].金融与经济,2006(2):56-59
[16] 吴华茵.支付系统制度建设相关问题探讨[J].金融会计,2006(9):24-25
[17] 吴华茵.支付系统流动性风险管理探讨[J].金融会计,2007(6):33-34
[18] 尹奕文.银行业流动性风险生成机制研究[J].金融在线,2009:32-34
[19] 欧阳卫民.完善支付环境建设,推动支付系统发展[J].金融电子化,2008(11):15-18
[20] 欧阳卫民.我国支付清算系统的特点和发展趋势[J].财经科学,2009(2):34-40
[21] 吉春娴.支付系统变革对银行流动性管理影响的实证研究[J].金融实务,2009(5):54-57
[22] 崔瑜.我国大额实时支付系统流动性风险控制措施探析[J].深圳金融,2011(11)
[23] 邓创,刘晓彤.关于我国现代化支付结算体系建设的思考——美国支付结算体系的经验与启示[J].现代经济,2008(7):4-6
[24] 牛晨,魏先华,潘松,等.我国大额支付系统中的流动性风险[J].系统工程,2010(11):23-28

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