학술논문
An Asynchronous Regime Switching GO GARCH Model for Optimal Futures Hedging
이용수 12
- 영문명
- 발행기관
- People & Global Business Association
- 저자명
- Hsiang-Tai Lee
- 간행물 정보
- 『Global Business and Finance Review』Vol.24 No.3, 65~78쪽, 전체 14쪽
- 주제분류
- 경제경영 > 경영학
- 파일형태
- 발행일자
- 2019.10.30
4,480원
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국문 초록
영문 초록
In this paper, an asynchronous Markov regime switching generalized orthogonal GARCH (ARSGO) model for
optimal futures hedging is proposed. The proposed ARSGO is a regime switching GO GARCH such that different
financial variables are governed by different state variables with the dependence of switching captured by a synchronization factor. Different from the conventional single-state-variable regime switching GO GARCH (RSGO), the
multiple-state-variable ARSGO is more flexible in capturing the time-varying state-dependent correlation between
spot and futures returns. ARSGO is applied to TAIEX futures to cross hedge the spot exposure of Taiwan stock
sector indices. The empirical results reveal that the hedging effectiveness of ARSGO is superior to its nested models
including the state-independent generalized orthogonal GARCH (GO) and the conventional single-state-variable
RSGO models in terms of variance reductions and utility gains.
목차
Ⅰ. Introduction
Ⅱ. Asynchronous Markov Regime-switching Generalized Orthogonal GARCH (ARSGO)
Ⅲ. Recombining Procedure and Regimeswitching Filtering Algorithm
IV. Measuring Hedging Performance, Data Description, and Empirical Results
V. Conclusions
해당간행물 수록 논문
- An Asynchronous Regime Switching GO GARCH Model for Optimal Futures Hedging
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