## Abstract In this paper we describe a new approach for determining timeβvarying minimum variance hedge ratio in stock index futures markets by using Markov Regime Switching (MRS) models. The rationale behind the use of these models stems from the fact that the dynamic relationship between spot an
A Markov regime-switching ARMA approach for hedging stock indices
β Scribed by Chao-Chun Chen; Wen-Jen Tsay
- Book ID
- 102215771
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 288 KB
- Volume
- 31
- Category
- Article
- ISSN
- 0270-7314
No coin nor oath required. For personal study only.
β¦ Synopsis
We thank the editor and referee for their valuable comments and suggestions. The first author also thanks the financial support from the Social Science Research Center of Taiwan. The current version is a substantial revision of our previous study entitled "Estimating Regime-Switching ARMA Models with Extended Algorithms of Hamilton.
π SIMILAR VOLUMES
## Abstract The random coefficient autoregressive Markov regime switching model (RCARRS) for estimating optimal hedge ratios, which generalizes the random coefficient autoregressive (RCAR) and Markov regime switching (MRS) models, is introduced. RCARRS, RCAR, MRS, BEKKβGARCH, CCβGARCH, and OLS are