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Constructing a Financial Stress Index for Vietnam: An Application of Autoregressiv* Conditional Heteroskedastic Models

机译:构建越南的金融压力指数:自回归*条件异方差模型的应用

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摘要

This paper constructs an index to measure financial stress for Vietnam with monthly data from April 2007 to December 2016. Various measures of stress are selected based on literature and Vietnam's practice. An important stress measure, the volatility of stock market, bond market, money market and banking sector, is estimated by variants of the general autoregressive conditional heteroskedasticity (GARCH) model. Individual stress variables are combined together to make an aggregate index using equal variance weighting scheme. The constructed index is a useful tool for policy makers to monitor the riskiness of domestic financial system as well as academics to conduct further research about financial crisis.
机译:本文使用2007年4月至2016年12月的月度数据构建了衡量越南金融压力的指数。根据文献和越南的实践选择了各种压力测量方法。通用自回归条件异方差(GARCH)模型的变体估计了一个重要的压力度量,即股票市场,债券市场,货币市场和银行部门的波动。使用等方差加权方案,将各个应力变量组合在一起以形成汇总索引。构建的指数是决策者监控国内金融系统风险的有用工具,也是学者进行金融危机进一步研究的有用工具。

著录项

  • 来源
  • 会议地点 Ho Chi Minh City(VN)
  • 作者

    Nguyen Chi Due; Ho Thuy Ai;

  • 作者单位

    Banking University of Ho Chi Minh City, 36 Ton That Dam, District 1, Ho Chi Minh City, Vietnam;

    Banking University of Ho Chi Minh City, 36 Ton That Dam, District 1, Ho Chi Minh City, Vietnam,Lingnan University, 8 Castle Peak Road, Tuen Mun, New Territories, Hong Kong;

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  • 原文格式 PDF
  • 正文语种 eng
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