期刊文献+

基于动态Copula的社保基金投资风险测度 被引量:2

下载PDF
导出
摘要 考虑到现阶段社保基金主要投资于股票和债券,以"社保重仓"和国债指数构建投资组合代表社保基金投资组合,基于GARCH-时变Copula模型测度社保基金投资组合的动态风险。实证研究发现:"社保重仓"和国债指数间的相关性具有较强的持续性,两者间相关性的变化与股市的波动具有一致性;时变Copula模型的VaR预测效果优于非时变模型,时变t-Copula的建模效果最好;以经风险调整的收益率(R_VaR)为判断标准,若4%的社保基金投资于股票,96%的投资于债券,社保基金投资达到了最优组合。
出处 《统计与决策》 CSSCI 北大核心 2011年第23期147-150,共4页 Statistics & Decision
基金 国家自然科学基金资助项目(71071034)
  • 相关文献

参考文献13

  • 1Embrechts P, Mcneil A, Straumann D. Risk Management: Value at Risk and Beyond[M]. Cambridge: Cambridge University Press, 1999.
  • 2Embrechts P,Hoeing A,Juri A.Using Copulae to Bound the Val- ue-at-Risk for Functions of Dependent Risks[J].Finance and Stochas- tics ,2003, (7).
  • 3Wang Z R, Chen X H, Jin Y B, Zhou Y J. Estimating Risk of Foreign Exchange Portfolio: Using VaR and CVaR based on GARCH-EVT-Copula Model [J]. Physica A, 2010, (359).
  • 4Patton A J.Modeling Time-varying Exchange Rate Dependence Using the Conditional Copula[Z].Department of Economics, University of California,San Diego,2001.
  • 5Patton A J. Modeling Asymmetric Exchange Rate Dependence[J].In- ternational Economic Review,2006,47(2).
  • 6Mendes B V M.Computing Conditional VaR Using Time-varying Cop- ulas[J].Revista Brasileira de Finan~as, 2005,3(2).
  • 7Goorbergha R W J ,Gen- est C, Werke B J M. Multivariate Option Pric- ing Using Dynamic Copula Models[C].Discussion Paper122,2003.
  • 8Goorbergha R W J ,Genest C, Werke B J M. Bivariate Option Pricing Using Dynamic Copula Models[J].Insurance: Mathematics and Eco- nomies,2005,37 (1).
  • 9Zhang J,Gu e ganc D. Pricing Bivariate Option under GARCH Pro- cesses with Time-varying Copula[J]. Insurance: Mathematics and Economics,2008,42 (3).
  • 10罗付岩,邓光明.基于时变Copula的VaR估计[J].系统工程,2007,25(8):28-33. 被引量:34

二级参考文献16

  • 1胡燕京,张方杰.中国股票市场、基金市场及国债市场间的协整关系研究[J].华东经济管理,2005,19(2):122-124. 被引量:6
  • 2WARTHER V A.Aggregate mutual fund flows and security returns[J].Journal of Financial Economics,1995,39(2):209-235.
  • 3BOYER B,LU Z.Who moves the market?A study of stock prices and sector cash flows[R].Michigan University,2002.
  • 4BRAVERMAN O,SHMUEL K,AVI W.The timing of mutual fund investors[R].Tel Aviv University,2005.
  • 5BOSSAERTS P.Common nonstationary components of asset prices[J].Journal of Economic Dynamics and Control,1988,12(2):347-364.
  • 6ADDONA S D,KIND A H.International Stock-Bond Corre-lations in a Simple Affine asset Pricing Model[J].Journal of Banking & Finance,2006,30(10):2747-2765.
  • 7LI L.The Correlation of Stock and Bond Returns:Theory and Empirical Evidence[R].SSRN,2002.
  • 8PATTON A J.Modeling Asymmetric Exchange Rate Dependence[J].International Economic Review,2006,47(2):527-556.
  • 9Patton A. Modelling asymmetric exchange rate dependence[J]. International Economic Review,2006, 47:527~556.
  • 10Jondeau E, Rockinger M. The Copula-GARCH model of conditional dependencies: an international stock market application[J]. International Money and Finance, 2006,25 : 827~853.

共引文献57

同被引文献19

  • 1Alexander G J, Baptista A M. Active Portfolio Management with Benchmarking: Adding a Value-at-risk Constraint[J]. Journal of Eco- nomic Dynamics and Control, 2008, 32(3).
  • 2Giamouridis D, Ntoula I. A Comparison of Alternative Approaches for Determining the Downside Risk of Hedge Fund Strategies[J]. The Journal of Futures Markets, 2009, 29(3).
  • 3Artzner P,Delbaen F, Eber J M, et al. Coherent measures of risk [J]. Mathematical Finance, 1999, 9(3): 203-228.
  • 4McNeil A J, Frey R. Estimation of tail-related risk meas- ures for heteroseedastic financial time series: an extremevalue approach [J]. Journal of Empirical Finance, 2000, 7 (3), 271-300.
  • 5Singh A K, Allen D E, Robert P J. Extreme market risk and extreme value theory [J]. Mathematics and Computers in Simulation, 2018,94; 310-328.
  • 6Morgan J P. Introduction to RiskMetries[R]. New Yorkl JP Morgan, 1994.
  • 7Bollerslev T. Generalized autoregressive conditional het- eroskedastieity [J]. Journal of Econometrics, 1986, 31 (3): 307-327.
  • 8Piekands III J. Statistical inference using extreme order sta- tistics[J]. The Annals of Statistics, 1975,3 ( 1 ), 119-131.
  • 9Smith R L. Estimating tails of probability distributions [J]. The Annals of Statistics, 1987,15 (3) .. 1174- 1207.
  • 10Allen D E, Singh A K, Powell R J. EVT and tail-risk modelling, evidence from market indices and volatility se- ries [J]. The North American Journal of Economics and Finance,2013,26,355- 369.

引证文献2

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部