数学季刊 ›› 2011, Vol. 26 ›› Issue (2): 190-195.

• • 上一篇    下一篇

对于金融资产漂移函数估计的双域组合方法

  

  1. 1. School of Science and Physics, Kaili University2. College of Mathematics, Hefei University of Technology

  • 收稿日期:2008-05-02 出版日期:2011-06-30 发布日期:2023-04-26
  • 作者简介:YE Xu-guo(1982-), male, native of Huoqiu, Anhui, an assistant of Kaili University, M.S.D., engages in applied statistics and risk decision, financial econometrics.
  • 基金资助:
    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);

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

  • Received:2008-05-02 Online:2011-06-30 Published:2023-04-26
  • About author:YE Xu-guo(1982-), male, native of Huoqiu, Anhui, an assistant of Kaili University, M.S.D., engages in applied statistics and risk decision, financial econometrics.
  • Supported by:
    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);

摘要: 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.

关键词: time-domain, state-domain, integrated estimator, drift function

Abstract: 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.

Key words: time-domain, state-domain, integrated estimator, drift function

中图分类号: