𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A copula-based regime-switching GARCH model for optimal futures hedging

✍ Scribed by Hsiang-Tai Lee


Publisher
John Wiley and Sons
Year
2009
Tongue
English
Weight
264 KB
Volume
29
Category
Article
ISSN
0270-7314

No coin nor oath required. For personal study only.

✦ Synopsis


Abstract

The article develops a regime‐switching Gumbel–Clayton (RSGC) copula GARCH model for optimal futures hedging. There are three major contributions of RSGC. First, the dependence of spot and futures return series in RSGC is modeled using switching copula instead of assuming bivariate normality. Second, RSGC adopts an independent switching Generalized Autoregressive Conditional Heteroscedasticity (GARCH) process to avoid the path‐dependency problem. Third, based on the assumption of independent switching, a formula is derived for calculating the minimum variance hedge ratio. Empirical investigation in agricultural commodity markets reveals that RSGC provides good out‐of‐sample hedging effectiveness, illustrating importance of modeling regime shift and asymmetric dependence for futures hedging. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:946–972, 2009


📜 SIMILAR VOLUMES


Dynamic hedging with futures: A copula-b
✍ Chih-Chiang Hsu; Chih-Ping Tseng; Yaw-Huei Wang 📂 Article 📅 2008 🏛 John Wiley and Sons 🌐 English ⚖ 287 KB

## Abstract In a number of earlier studies it has been demonstrated that the traditional regression‐based static approach is inappropriate for hedging with futures, with the result that a variety of alternative dynamic hedging strategies have emerged. In this study the authors propose a class of ne

Optimal hedging with a regime-switching
✍ Hsiang-Tai Lee; Jonathan Yoder 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 307 KB

## Abstract The authors develop a Markov regime‐switching time‐varying correlation generalized autoregressive conditional heteroscedasticity (RS‐TVC GARCH) model for estimating optimal hedge ratios. The RS‐TVC nests within it both the time‐varying correlation GARCH (TVC) and the constant correlatio

A random coefficient autoregressive Mark
✍ Hsiang-Tai Lee; Jonathan K. Yoder; Ron C. Mittelhammer; Jill J. McCluskey 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 392 KB

## 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, BEKK‐GARCH, CC‐GARCH, and OLS are

Bivariate GARCH estimation of the optima
✍ Tae H. Park; Lorne N. Switzer 📂 Article 📅 1995 🏛 John Wiley and Sons 🌐 English ⚖ 385 KB 👁 2 views

2Cecchetti, Cumby, and Figlewski (1988) apply ARCH in estimating an optimal futures hedge with Treasury bonds. Baillie and Myers (199 1) and Myers (1991) examine commodity futures and report improvements in hedging performance over the constant hedge approach by following a dynamic strategy based o