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高频环境下金融资产收益波动率研究的新进展 被引量:5

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摘要 金融资产收益的波动率估计和预测是金融风险管理、金融衍生品定价以及投资组合选择中一个非常重要的核心环节,随着高频金融分时数据的广泛采集,高频已实现波动率的方法开始流行,以此为基础,金融资产收益波动率的估计、建模和预测研究大为拓展。从高频已实现波动率的估计、特征、预测模型这几个方面对国内外主要学术文献的研究成果进行综述,期望为该主题的深入研究提供一定的线索。
出处 《金融理论与实践》 CSSCI 北大核心 2012年第5期22-26,共5页 Financial Theory and Practice
基金 国家自然科学基金项目(资助号:7097114370673116) 中国博士后科学基金(资助号:2011M500134) 广东省哲学社会科学规划项目(资助号:GD11YLJ01) 中山大学青年教师起步资助计划(资助号:41000-3181404) 2011年度中山大学人文社会科学青年教师桐山基金项目 中山大学985工程三期建设项目金融创新与区域发展研究创新基地 中央高校基本科研业务费专项资金(资助号:10wkjc0509WKPY35) 广东省高等学校高层次人才项目"最优再保险 投资与分红的模型与策略研究"
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  • 1Engle R F. Autoregressive Conditional Hetero- Skedasticity with Estimates of the Variance of UK Infla- tion[J]. Econometrica, 1982, 50:987-1008.
  • 2Bollerslev T. Generalized Autoregressive Con- ditional Heteroskedasticity[J]. Journal of Econometrics. 1986, 31:307-327.
  • 3Taylor S T. Modeling Financial Time Series[M]. New York: Wiley, 1986.
  • 4Andersen T G, Bollerslev T. Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate Forecasts[J]. International Economic Review, 1998, 39:885-905.
  • 5Andersen T G, Bollerslev T, Diebold F X, Labys P. Exchange Rate returns Standardized by Real- ized Volatility Are (nearly) Gaussian[J]. Multinational Finance Journal, 2000, 4:159-179.
  • 6Andersen T G, Bollerslev T, Diebold F X, Eb- ens H. The Distribution of Realized Stock Return Vola- tility[J]. Journal of Financial Economics, 2001a, 61:43-76.
  • 7Andersen T G, Bollerslev T, Diebold F X, Labys P. The Distribution of Exchange Rate Volatility [J]. Journal of the American Statistical Association, 2001b, 96:42-55 (Correction, 2005, 98, 501).
  • 8Andersen T G, Bollerslev T, Diebold F X, Labys P. Modeling and Forecasting Realized Volatility [J]. Econometrica, 2003, 71:529-626.
  • 9Barndorff-Nielsen O E, Shephard N. Power Variation and Stochastic Volatility[J]. Bernoulli, 2003, 9:243-265.
  • 10Barndorff-Nielsen O E, Graversen S E, Shephard N. Power Variation and Stochastic Volatility: A Reviews and some new Results[J]. Journal of Applied Probability, 2004b, 41A:133-143.

二级参考文献136

共引文献163

同被引文献38

  • 1瞿慧,张明卓.基于跳跃规模细分的已实现波动率建模研究[J].中国管理科学,2013,21(S1):310-314. 被引量:7
  • 2郭名媛,张世英.赋权已实现波动及其长记忆性,最优频率选择[J].系统工程学报,2006,21(6):568-573. 被引量:26
  • 3魏宇,余怒涛.中国股票市场的波动率预测模型及其SPA检验[J].金融研究,2007(07A):138-150. 被引量:44
  • 4Barndor-Nielsen 0 E, Shephard N. Realized power variation and stochastic volatility[J]' Bernoulli, 2003,9(2):243265.
  • 5Barndor-Nielsen 0 E, et al. Econometric analysis of Realised covariation . High frequency covariance, regression and correlation in financial economics[J]. Econometrica, 2004,72(3): 885925.
  • 6Barndor- Nielsen 0 E, Shephard N. Impact ofJumps on returns and realized variances: Econometric analysis of time-deformed levy process[J].Journal of Econometrics, 2006,131(2): 217 252.
  • 7Andersen T G, Bollerslev T, Diebod F X. Roughing it up: IncludingJump components in the measurement, modeling, and forecasting of return volatility[J]. The Review of Economics and Statistics, 2007,89(4): 701 720.
  • 8Forsberg L, Ghysels E. Why do absolute returns predict volatility so well[J].Journal of Financial Econometrics, 2007,5: 31 67.
  • 9Giot P .Laurent S. The information content of implied volatility in the light of theJump/continuous decomposition of realized volatility[J].Journal of Future Markets, 2007,27(3): 337 359.
  • 10Huang, Tauchen. The relative contribution ofJumps to total price variance[J].Journal of Financial Econometrics, 2005,3(4): 45649.

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