期刊文献+

基于Copula函数的ETF流动性风险与市场风险相依性分析 被引量:6

Dependence Analysis of Liquidity Risk and Market Risk for Exchange Traded Funds Based on Copula Function
原文传递
导出
摘要 以截至2009年12月18日在上海证券交易所和深圳证券交易所公开发行的易方达深证100ETF、华夏中小板ETF、华夏上证50ETF、华安上证180ETF、华泰柏瑞上证红利ETF共5只交易型开放式指数基金为研究对象,度量指数基金的流动性风险和市场风险,并以GARCH(1,1)对风险的边缘分布进行建模,同时应用Copu la函数的相关系数分别对不同指数基金的流动性风险和市场风险的相依性进行度量。实证研究表明,指数基金的流动性风险和市场风险都呈现出波动聚集的特性,华安上证180ETF的流动性风险和5只ETF的市场风险均具有尖峰厚尾的分布特性。在证券市场牛市时,华夏上证50ETF和华安上证180ETF的流动性风险与市场风险呈现负相依的特性,而华泰柏瑞上证红利ETF、易方达深证100ETF和华夏中小板ETF的流动性风险与市场风险呈现正相依的特性;在证券市场熊市时,指数基金的流动性风险与市场风险均呈现正相依的特性。 Based on the sample of 5 Exchange Traded Funds including E FUND Shenzhen 100ETF,SME ETF,Shanghai 50ETF,Shanghai 180ETF and Huatai Shanghai Dividend ETF listing in Shanghai Stock Exchange and Shenzhen Stock Exchange up to Dec.18,2009,this study measures the liquidity risk and market risk of Exchange Traded Funds(ETF).A model is established to measure the dependency of liquidity risk and market risk of Exchange Traded Funds through the correlation coefficient of Copula function,and the distribution function is designed by GARCH(1,1).The research shows that both liquidity risk and market risk of ETF show the characteristics of fluctuations in aggregate,and the liquidity risk of Shanghai 180ETF and market risk of 5 ETFs have high-peaked and heavy-tailed distribution.When the stock market is a bull market,there is a negative relationship in the liquidity risk and market risk between the Shanghai 50ETF and Shanghai 180ETF,while it′s just the opposite among the Shanghai Dividend ETF,Shenzhen 100ETF and SME ETF.When the stock market is a bear market,there is a positive relationship in the liquidity risk and market risk among all the ETFs.
出处 《管理科学》 CSSCI 北大核心 2010年第5期94-102,共9页 Journal of Management Science
基金 国家社会科学基金(07AJL005) 教育部博士点专项科研基金(20070532091) 教育部人文社会科学规划项目(09YJC630063)~~
关键词 COPULA 交易型开放式指数基金 流动性风险 市场风险 相依性 Copula exchange traded funds liquidity risk market risk dependency
  • 相关文献

参考文献21

  • 1徐静,蔡凌荣,张波.中国开放式基金的流动性风险分析[J].统计与决策,2006,22(16):107-110. 被引量:3
  • 2侯卜魁.开放式基金流动性风险研究[J].当代经济,2009,26(5):122-124. 被引量:1
  • 3Pastor L,Stambaugh R F.Liquidity Risk and Expected Stock Returns[J].Journal of Political Economy,2005,111(3):642-685.
  • 4Acharya V V,Pedersen L H.Asset Pricing with Liquidity Risk[J].Journal of Financial Economics,2005,77(2):375-410.
  • 5Chordia T,Sarkar A,Subrahmanyam A.An Empirical Analysis of Stock and Bond Market Liquidity[J].Review of Financial Studies,2005,18(1):85-129.
  • 6杜平,徐济东.用VaR度量与管理投资基金的市场风险[J].经济问题探索,2007(7):67-71. 被引量:5
  • 7Billio M,Getmansky M,Pelizzon L.Dynamic Risk Exposure in Hedge Funds[R].Venezia:University of Venice,2007.
  • 8Luo D.Market Volatility and Mutual Fund Cash Flows[R].New Haven:Yale School of Management,2003.
  • 9Boyson N M,Stahel C W,Stulz R.Hedge Fund Contagion and Liquidity[R].NBER Working Papers,2008.
  • 10Angelidis T,Benos A.Liquidity Adjusted Value-at-risk Based on the Components of the Bid-ask Spread[J].Applied Financial Economics,2006,16(11):835-851.

二级参考文献51

共引文献131

同被引文献83

  • 1王敬,程显敏,宗乐新.股指期货在ETF投资管理中的套期保值研究[J].大连理工大学学报(社会科学版),2007,28(1):27-31. 被引量:5
  • 2肖辉,吴冲锋,鲍建平,朱战宇.伦敦金属交易所与上海期货交易所铜价格发现过程[J].系统工程理论方法应用,2004,13(6):481-484. 被引量:41
  • 3张屹山,黄琨,赵继光.基于SVAR的SHFE铜期货市场功能及国际影响实证研究[J].系统工程理论与实践,2006,26(9):123-128. 被引量:17
  • 4韦艳华,张世英.多元Copula-GARCH模型及其在金融风险分析上的应用[J].数理统计与管理,2007,26(3):432-439. 被引量:72
  • 5Andersen T G, Bollerslev T. Answering the skeptics: Yes, standard volatility models do provide accurate forecasts. InternationalEconomic Review, 1998, 39(4): 885-905.
  • 6Hasbrouck J. Empirical Market Microstructure: The Institutions, Economics and Econometrics of Securities Trading. New York:Oxford University Press, 2007: 31-41.
  • 7Hansen P R,Lunde A. A forecast comparison of volatility models: Does anything beat a GARCH(1, 1). Journal of Applied Econo-metrics, 2005, 20(7): 873-889.
  • 8Bandi F M, Russell J R. Microstructure noise, realized variance, and optimal sampling. Review of Economic Studies, 2008, 75(2):339-369.
  • 9Bamdorff-Nielsen O E, Hansen P R, Lunde A, et al. Designing realized kernels to measure the ex post variation of equity prices inthe presence of noise. Econometrica, 2008,76(6): 1481-1536.
  • 10Hansen P R, Huang Z,Shek H H. Realized GARCH: A joint model for returns and realized measures of volatility. Journal of AppliedEconometrics, 2012, 27(6): 877-906.

引证文献6

二级引证文献25

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