Evaluation of the Financial Derivative Risk from the Probability of Default Angle

被引:0
|
作者
Ma Degong [1 ]
Chen Yancun [2 ]
Yang Wei [2 ]
机构
[1] Sichuan Univ, Financial Engn Dept, 24,S Sect 1,Yihuan Rd, Chengdu 610064, Sichuan, Peoples R China
[2] Sichuan Univ, Financial Dept, Chengdu, Sichuan, Peoples R China
来源
2009 THIRD UKSIM EUROPEAN SYMPOSIUM ON COMPUTER MODELING AND SIMULATION (EMS 2009) | 2009年
关键词
Financial Crisis; Financial Derivative; Financial Risk; Financial Supervision;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The over development and excessive use of financial derivatives is one of the most important reasons in the evolvement of this American financial crisis. The theory on the formation and accumulation of financial risks and their transformation into the financial crisis shows that the development and use of large number of derivatives increase the global liquidity rapidly, and lead to the excess of global liquidity. And while the sectional and visible risk was transferred and avoided, the total risks were accumulated speedily in geometric progression, and ultimately triggered American mortgage crisis. The result of our empirical analysis confirmed the above theoretical argument.
引用
收藏
页码:293 / +
页数:3
相关论文
共 50 条
  • [31] Evaluation of real estate financial risk in commercial bank based on ANP
    Mu, Lingling
    Liu, Ping
    Chen, Liwen
    PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON RISK AND RELIABILITY MANAGEMENT, VOLS I AND II, 2008, : 41 - 44
  • [32] Time–frequency dependency of financial risk and economic risk: evidence from Greece
    Kirikkaleli D.
    Journal of Economic Structures, 8 (1)
  • [33] Proactive risk management in emerging and Islamic financial markets Evidence from the Moroccan financial markets
    Al Janabi, Mazin
    HUMANOMICS, 2008, 24 (02) : 74 - +
  • [34] Financial Risk Evaluation of Chinese Commercial Banks Using Projection Pursuit Clustering
    Lou, Jitong
    Lou, Wengao
    2013 10TH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (FSKD), 2013, : 486 - 491
  • [35] Risk prediction and evaluation of transnational transmission of financial crisis based on complex network
    Chang Liu
    N. Arunkumar
    Cluster Computing, 2019, 22 : 4307 - 4313
  • [36] An evaluation of bank measures for market risk before, during and after the financial crisis
    O'Brien, James
    Szerszen, Pawel J.
    JOURNAL OF BANKING & FINANCE, 2017, 80 : 215 - 234
  • [37] Another look at contagion across United States and European financial markets: Evidence from the credit default swaps markets
    Tsionas, Mike G.
    Apergis, Nicholas
    INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS, 2023, 28 (01) : 1137 - 1155
  • [38] Systemic Financial Risk Arising From Residential Flood Losses
    Thomson, Hope
    Zeff, Harrison B.
    Kleiman, Rachel
    Sebastian, Antonia
    Characklis, Gregory W.
    EARTHS FUTURE, 2023, 11 (04)
  • [39] Research on the establishment and evaluation of operational risk model of current financial institutions in China
    Kaige, Dai
    International Journal of Simulation: Systems, Science and Technology, 2015, 16 (2A): : 11.1 - 11.5
  • [40] Risk prediction and evaluation of transnational transmission of financial crisis based on complex network
    Liu, Chang
    Arunkumar, N.
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (02): : S4307 - S4313