## 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 approach for hedging energy commodities
β Scribed by Amir H. Alizadeh; Nikos K. Nomikos; Panos K. Pouliasis
- Book ID
- 116615159
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 259 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0378-4266
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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 wit
## 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
Since the early 1980s, models based on economic fundamentals have been poor at explaining the movements in the exchange rate (Messe, 1990). In response to this problem, Frankel and Froot (1988) developed a model where two approaches are used to forecast the exchange rate. The fundamentalist approach