𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Volatility components: The term structure dynamics of VIX futures

✍ Scribed by Zhongjin Lu; Yingzi Zhu


Publisher
John Wiley and Sons
Year
2009
Tongue
English
Weight
283 KB
Volume
30
Category
Article
ISSN
0270-7314

No coin nor oath required. For personal study only.

✦ Synopsis


Abstract

In this study we empirically study the variance term structure using volatility index (VIX) futures market. We first derive a new pricing framework for VIX futures, which is convenient to study variance term structure dynamics. We construct five models and use Kalman filter and maximum likelihood method for model estimations and comparisons. We provide evidence that a third factor is statistically significant for variance term structure dynamics. We find that our parameter estimates are robust and helpful to shed light on economic significance of variance factor model. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:230–256, 2010


📜 SIMILAR VOLUMES


The jump component of the volatility str
✍ Carl Chiarella; Thuy-Duong Tô 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 233 KB 👁 1 views

## Abstract We propose a generalization of the Shirakawa (1991) model to capture the jump component in fixed‐income markets. The model is formulated under the Heath, Jarrow, & Morton (1992) framework, and allows the presence of a Wiener noise and a finite number of Poisson noises, each associated w

Comparing alternative assumptions on the
✍ Frans A. De Roon; Yulia V. Veld-Merkoulova 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 63 KB

## Abstract Donald Lien and Yan Wang (this issue) suggest an alternative test for different specifications of the term structure of futures prices, as used in our recently published paper in __The Journal of Futures Markets.__ Our paper (Y. V. Veld‐Merkoulova and F. A. de Roon, 2003) focuses on dev

Futures hedging using dynamic models of
✍ Ponladesh Poomimars; John Cadle; Michael Theobald 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 231 KB

## Abstract Dynamic futures‐hedging ratios are estimated across seven markets using generalized models of the variance/covariance structure. The hedging performances of the resultant dynamic strategies are then compared with static and naïve strategies, both in‐ and out‐of‐sample. Bayesian‐adjusted

The Influence of Predator–Prey Populatio
✍ BARBARA DROSSEL; PAUL G. HIGGS; ALAN J. MCKANE 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 231 KB

We develop a set of equations to describe the population dynamics of many interacting species in food webs. Predator-prey interactions are nonlinear, and are based on ratio-dependent functional responses. The equations account for competition for resources between members of the same species, and be