## Abstract Previously, few, if any, comparative tests of performance of Jackwerth's (1997) generalized binomial tree (GBT) and Derman and Kani (1994) implied volatility tree (IVT) models were done. In this paper, we propose five different weight functions in GBT and test them empirically compared
Valuing real options using implied binomial trees and commodity futures options
β Scribed by Tom Arnold; Timothy Falcon Crack; Adam Schwartz
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 324 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0270-7314
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
A real option on a commodity is valued using an implied binomial tree (IBT) calibrated using commodity futures options prices. Estimating an IBT in the absence of spot options (the norm for commodities) allows real option models to be calibrated for the first time to marketβimplied probability distributions for commodity prices. In addition, the existence of longβdated futures options means that good volatility estimates may now be incorporated into capital budgeting evaluations of real options projects with long planning horizons. An example is given using gold futures options and a real option to extract gold from a mine. A detailed outβofβsample test is included that shows how IBT option pricing errors evolve on subtrees emanating from future levels of the underlying asset. Β© 2007 Wiley Periodicals, Inc. Jrl Fut Mark 27:203β226, 2007
π SIMILAR VOLUMES
In this study, a new approach to pricing American options is proposed and termed the canonical implied binomial (CIB) tree method. CIB takes advantage of both canonical valuation (Stutzer, 1996) and the implied binomial tree method (Rubinstein, 1994). Using simulated returns from geometric Brownian
## Abstract This paper models the decision to change the use of a property when its value in the current use and the new use, as well as construction costs, are uncertain. In the case of development of vacant land, when cash flows and construction costs are lognormally distributed, the development