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不同目标类型的开放式基金收益率特征分析 被引量:4

An Empirical Analysis of Returns Characteristic of the Objects-vary Open-end Funds in China
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摘要 本文利用传统的单指数模型和ARCH模型 ,分析了开放式基金的收益率的统计特征、ARCH效应及与股价指数的关系。实证结果表示开放式基金的收益率基本具备GARCH(1,1)特征 ,与股价指数有较强的相关性 ,但不同目标的开放式基金与股指的关系有所差异 ,说明基金管理公司在选择投资组合上与基金目标较为一致。有超过一半的样本基金的平均收益率低于同期股指收益率 ,盈利能力不甚理想。 By using the traditional single-index model and ARCH model, the paper analyzes the returns characteristic, ARCH effects and the relationship with stock indexes of the objects-vary open-end funds in China. It shows that the GARCH(1,1) model is approximately fit for returns of open-end funds, and there is a strong correlation between returns of open-end funds and the stock indexes. But there are difference to the relationships between objects-vary funds and stock indexes, and it is proved that fund companies share the same object to choose portfolios according to its objects. More than half of the sample funds are not good at earning abilities because the average return is below the corresponding return levels of stock indexes in china.
作者 朱晋
机构地区 浙江工商大学
出处 《商业经济与管理》 CSSCI 北大核心 2005年第1期62-66,79,共6页 Journal of Business Economics
关键词 开放基金 收益率 ARCH 单指数模型 open-end fund returns ARCH single-index modelThe
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  • 1阳育钦,谢剑强.开放式证券投资基金的结构、流动性需求和基金经理管理能力关系分析[J].财经理论与实践,2002,23(S1):46-47. 被引量:1
  • 2Bollerslev,Tim.Generalized antoregressive conditicmal hetemskedasticity. Journal of Ecommetrics.1986, (31) :307-327.
  • 3Engle, R. F. Autoregressive Conditionalheteroskedasticity with estimates of the variance of U. K. inflation, Econmnetrica. 1982,(50) :987-1008.
  • 4Torben G. A., Tim Bollerslev, Francis X.D., Paul Labys. The Distribution of Realized Exchange Rate Volatility. Journad of American Statistical Association.2001,96(453):42-55.
  • 5Javiem Aguilar,Stefan Nydahl. Central bank intervention and exchange rates:the case of Sweden.Journal of International Financial Markets, Institutions and Money.2000,(10):303-322.
  • 6Chris Brooks,Simon P.B.Forecasting exchange rate volatilityusing conditional variance models selected by informationcriteria Ecomomics Letters,1998,(61):273-278.
  • 7Ljung, G., G. Box. A Measure of Lack of Fit in Time Series Models. Biometrika.1979,66(2):65-70.
  • 8Jarque, C., A. Bera. Efficieat Tests for Normality, Hotmskedasticlty, and Serial Independence of Regression Residuals. Economics Letters. 1980,6(2) :55-59.
  • 9Shiller, R K : Stock Prices and Social Dynamics [J].Brookings Papers on Economic Activity, 1984, (2): 457-498.
  • 10Santana, E , and S Wadhwani : Feedback Traders and Stock Return Autocorrelation: Evidence from a Century ofdaily Data[J]. Economic Journal, 1992, (102): 415-425.

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