期刊文献+

The Integration of Dual-domain Method for Estimating the Drift Function of Financial Assets

The Integration of Dual-domain Method for Estimating the Drift Function of Financial Assets
下载PDF
导出
摘要 时间域州域的方法是在现代金融分析的普通途径。经济条件改变时间,飘移功能为一个给定的州的变量取决于时间和价格水平。在这份报纸,工作一致地估计 bivariate 飘移,我们的目的由梳时间的一个新动态综合评估者 -- 并且为估计的州域的方法漂流功能。并且我们建立它的 asymptotic 性质并且说明它由模拟超过一些旧的。 Time-domain state-domain methods are common approaches in modern financial analysis.Economic conditions vary time,drift function depends on time and price level for a given state variable.In this paper,to consistently estimate the bivariate drift function,our purpose a new dynamic integrated estimator by combing time-and state-domain methods for estimating drift function.And we establish its asymptotic properties and illustrates it outperforms some old ones by simulations.
出处 《Chinese Quarterly Journal of Mathematics》 CSCD 2011年第2期190-195,共6页 数学季刊(英文版)
基金 Supported by the Natural Science Research Foundation of Education Department of Guizhou Province(20090080,2010076) Supported by the Project of Kaili University(Z1004) Supported by the Key Discipline Construction Program of Kaili University(KZD2009001)
关键词 时间域 州域 综合评估者 飘移功能 time-domain state-domain integrated estimator drift function
  • 相关文献

参考文献11

  • 1ARIF M. Nonparametric drift estimation from ergodic sample[J]. Journal of Nonparametric Statistics, 1995, 5(4): 381-389.
  • 2FAN Jian-qing. Local linear regression smoothers and their minimax efficiencies[J]. The Annals of Statistic, 1993, 21(1): 196-216.
  • 3FAN Jian-qing. A selective overview of nonparametric methods in financial econometrics[J]. Statistical Science, 2005, 20(4): 317-337.
  • 4FAN Jian-qing, FAN Ying-ying, JIANG Jian-cheng. Dynamic Integration of timeand state-domain methods for volatility estimation[J]. Journal of the American Statistical Association, 2007, 102(478): 618-631.
  • 5FAN Jian-qing, GIJBELS I. Local Polynomial Modeling and Its Application[M]. London: Chapman and Hall, 1996.
  • 6FAN Jian-qing, YAO Qi-wei. Nonlinear Time Series: Nonparametric and Parametric Methods[M]. New York: Springer-Verlag, 2003.
  • 7KIM M S, WANG S. Consistent estimation in regression models for the drift function in some continuous time models[J]. Computationl Statistics and Data Analysis, 2008, 52(5): 2682-2691.
  • 8PHAM D T. Nonparametric estimation of the drift coefficient in the diffusion equation[J]. Statistics, 1981, 12(1): 61-73.
  • 9PRAKASA RAO B L S. Estimation of the drift for diffusion process[J]. Statistics, 1985, 16(2): 263-275.
  • 10REVUZ D, YOR M. Continuous M'artingales and Brownian Motion[M]. Berlin: Springer-Verlag, 1999.

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