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基于VaR的我国上证股市风险的实证研究

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摘要 VaR方法的引入使金融资产的风险分析得以量化,其实质是波动率的计算。本文正是基于VaR方法,通过计算不同模型在不同分布下的VaR值,对上海股票市场风险进行比较分析。分析结果表明,GED分布下各模型对风险高估或低估的现象均有所缓解。TARCH模型和EGARCH模型比GARCH模型更能反映我国股市波动情况且前两种模型间并没有绝对的优劣之分,都能较好地反映收益率的风险特性。
作者 周寅鑫
出处 《时代金融》 2008年第10期27-28,共2页 Times Finance
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  • 1Imad A. Moosa, Bernard Bollen. A Benchmark for Measuring Bias in Estimated Daily Value at Risk. International Review of Financial Analysis, 2002, (11): 85-100.
  • 2Cherif Guermat, Richard D. F. Harris. Forecasting Value at Risk Allowing for Time Variation in the Variance and Kurtosis of Portfolio Returns. International Journal of Forecasting, 2002, (19):409-419.
  • 3Engle, R. F.. Autoregressive Conditional Heteroskeodasticity with Estimates of the Variance of United Kingdom Inflation. Econometrics,1982, (50): 987-1008.
  • 4Ander, T., Bollerslev. T., Diebold, Labys. P.. Exchange Rate Returns Standardized by Realized Volatility are (Nearly) Gaussian(NBER Woking Papers, No. 7488), 2000.
  • 5Bollerslev, T R. Chou Y, KRONER K F. ARCH Modeling in Finance: A Review of the Theory and Empirical Evidence. Journal of Econometrics, 1992, (52): 5-59.
  • 6Lamoureux C G, Lastraps W D. Heteroskedasticity in Stock Return Data: Volume Versus GARCH Effects. Journal of Finance,1990, (55): 221-229.
  • 7Najard M, Yung K.. A GARCH Examination of the Relationship between Volume and Price Variability in Futures Markets. Journal of Futures Markets, 1991, (11): 613-621.
  • 8Poon S H, Taylor S J.. Stock Returns and Volatility: an Empirical Study of the UK Stock Market. Journal of Banking and Finance,1992, (16): 37-59.
  • 9De Schepper, A, Goovaerts, M. J.. The GARCH(1,1)-M Model:Results for the Densities of the Variance and the Mean. Insurance Mathematics and Economics, 1999, (24): 83-94.
  • 10Morgan, J. P.. Risk Metrics Technical Document (4^th ed.). 1996.

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