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如何更早发现“灰犀牛”?基于压力指数法的票据市场风险测度

Risk Measurement in China's Commercial Paper Market and the Early Discovery of ‘Grey Rhinos’
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摘要 如何更早发现和处置金融市场苗头性风险,对单个金融子市场风险的准确测度和识别提出了更高要求。本文对票据市场风险情况进行全面梳理,建立涵盖信用风险、流动性风险、市场风险及合规风险的11项评价指标体系,借鉴金融市场系统性风险测度相关方法,构建票据市场压力指数,并采用MS-AR马尔科夫区制转移模型对票据市场压力状态进行识别。研究结果表明:票据市场高压状态与近年来票据市场发生的风险事件时间相吻合,能够快速反映事件的冲击,且在设置合理的观测阈值后,能够进一步提升风险事件识别的准确性,为识别和监测票据市场风险提供工具和数据参考,也为其他金融子市场提供借鉴。 Preventing and resolving major financial risks and guarding against systemic risks are among the important objectives proposed at the 19th and 2th CPC National Congresses.Addressing emerging risks in the financial market depends upon the identification of risk events in individual financial market segments.This paper comprehensively reviews the risks of the commercial paper market and establishes an 11-item evaluation index system covering credit risk,liquidity risk,market risk and compliance risk.It draws on the relevant methods of systematic risk measurement in the financial market,constructs a comprehensive stress index for the commercial paper market,and adopts the MS-AR Markov regime switching model to identify the degree of stress in the commercial paper market.The risk index can provides tools and data references for the identification and monitoring of the risk events in the commercial paper market and provide methodological references for other financial market segments.
作者 唐磊 赵诗棋 杨扬 李莹 TANG Lei;ZHAO Shiqi;YANG Yang;LI Ying(Shanghai Commercial Paper Exchange Corporation Ltd.)
机构地区 上海票据交易所
出处 《金融市场研究》 2024年第4期53-59,共7页 Financial Market Research
关键词 票据市场 压力指数 风险测度识别 MS-AR模型 Commercial Paper Market Stress Index Risk Event Identification MS-AR Model
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  • 1范小云,王道平,方意.我国金融机构的系统性风险贡献测度与监管——基于边际风险贡献与杠杆率的研究[J].南开经济研究,2011(4):3-20. 被引量:154
  • 2方意,赵胜民,王道平.我国金融机构系统性风险测度——基于DGC-GARCH模型的研究[J].金融监管研究,2012(11):26-42. 被引量:54
  • 3晏露蓉,吴伟.借鉴和思考:国内外经济运行先行指标体系比较[J].金融研究,2005(9):39-50. 被引量:27
  • 4Balakrishnan, R. et a1(2009), "The transmission of financial stress from advanced to emerging economies", IMF Work- ing Paper, wp/09/133.
  • 5Blix-Grimaldi, M. (2010), "Detecting and interpreting fi- nancial stress in the Euro area", ECB Working Paper, No. 1214.
  • 6Cardarelli, R. et al (2011), "Financial stress and economic contractions", Journal of Financial Stability 7 : 78-- 97.
  • 7Duea, M. L. T. A. Peltonen(2011), "Macro-financial vul nerabilities and future financial stress.. Assessing systemic risks and predicting systemic events", ECB Working Pa- Der. No 1211.
  • 8Girardi, G. g A. T. Ergun(2013), "Systemic risk measure- ment Multivariate GRACH estimation of CoVaR', Jour- nal of Banking & Finance 37(1)13169--3180.
  • 9Hakkio, S. g R. Keeton(2009), "Financial stress: What is it, how can it be measured, and why does it matter?", www. Kansas City Fed. org.
  • 10Illing, M. Y. Liu(2003), "Measuring financial stress in a developed country An application to Canada", Journal of Financial Stability 2 : 243-- 265.

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