earticle

논문검색

GMM을 이용한 Vasicek형태의 일요인 이자율 모형의 추정

원문정보

GMM Estimation of Vasicek Types One Factor Interest Rate Models

이준희, 박종우, 박훈, 최영권

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

There has been many researches of the term structure of interest rates in theory and empirical studies. No researches has been performed in the forecasting comparison of models. This paper first attempts to compare various Vasicek types of interest rate models under the risk neutral measur. Our research is different from Chan et al (1992). Chan er al (1992) compare models under the physical measure. Our paper compares four types of Vasicek models; pure Vasicek, damped Levy Vasicek, damped Levy diffusion Vasicek and finally jump diffusion Vasicek (Das and Foresi). We use GMM for estimation and forecast. We propose new orthogonal moment conditions which are different from Longstaff and Schwartz (1992), and Chen (1994). From our empirical results, we find that short interest rate and yield data in KTB(Korea Treasury Bond) have fat tails and skewness, but the small jump Levy models have more explanatory power than the large jump models. In the view of performance, damped Levy diffusion Vasicek model and Das and Foresi model have good forecasting abilities.

목차

Ⅰ. Introduction
 Ⅱ. Models
 Ⅲ. Estimation Method
 Ⅳ. Empirical Results
 Ⅴ. Conclusion
 References
 Abstract

저자정보

  • 이준희 Joon-Hee Rhee. 숭실대학교 경영학과 교수
  • 박종우 Jong-Woo Park. 숭실대학교 경영학과 교수
  • 박훈 Hoon Park. 숭실대학교 경영학과 대학원
  • 최영권 Young-Gwon Choi. 숭실대학교 경영학과 대학원

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 기관로그인 시 무료 이용이 가능합니다.

      • 6,100원

      0개의 논문이 장바구니에 담겼습니다.