Transactions data tests of the black model for soybean futures options
โ Scribed by James V. Jordan; William E. Seale; Nancy C. McCabe; David E. Kenyon
- Publisher
- John Wiley and Sons
- Year
- 1987
- Tongue
- English
- Weight
- 971 KB
- Volume
- 7
- Category
- Article
- ISSN
- 0270-7314
No coin nor oath required. For personal study only.
โฆ Synopsis
he Black futures option pricing model is tested on soybean futures options T using intraday transaction prices and three volatility estimation methods: historical, forecast and implied. The model performs best with implied volatility; average deviations from actual prices are one tenth of one cent per bushel for puts and four hundredths of one cent per bushel for calls. Tests for moneyness bias show that both in-and out-of-the money options are underpriced by the model. The evidence for biases related to option maturity, changing volatility and price supports is much weaker.
I. INTRODUCTION
Options on agricultural futures contracts began trading on October 31, 1984. Prior to this, options on agricultural commodities had been banned since 1936 because of a history of manipulations and customer abuses. However, the usefulness of such options for certain types of risk management which are not obtainable with futures contracts alone led to the authorization by Congress of a pilot program in 1982.
An example of risk management using options which is not available with futures is the purchase of price insurance by agricultural producers.
๐ SIMILAR VOLUMES
If the cost-of-carry relationship holds, then (A3) is consistent with the assumption that the spot price of the underlying commodity also follows a stochastic differential equation given by: where p = a -( ra), r = riskless interest rate, and 6 represents the dividend yield (or its analog) on the s
analysis of fracture toughness test data should provide dist~butional parameter estimates for the population of toughness predictions for use in integrity assessments. Standard statistical techniques are available which provide such information where the appropriate distributional form is normal but
## Abstract I discuss the role of model/data comparisons for past climate changes and use of such comparisons for enhancing credibility in future projections. I outline a framework in which data synthesis combined with suitable modelling targets should be able to reduce uncertainty in both. By focu