American options with stochastic dividends and volatility:: A nonparametric investigation

被引:39
作者
Broadie, M [1 ]
Detemple, J
Ghysels, E
Torrés, O
机构
[1] Columbia Univ, Grad Sch Business, New York, NY 10027 USA
[2] McGill Univ, Dept Finance, Montreal, PQ H3A 1H3, Canada
[3] Penn State Univ, Dept Econ, University Pk, PA 16802 USA
[4] Univ Lille 3, URF Math Sci Econ & Sociales, Villeneuve Dascq, France
关键词
options pricing; derivative securities; OEX contract; kernel estimation;
D O I
10.1016/S0304-4076(99)00017-2
中图分类号
F [经济];
学科分类号
02 ;
摘要
In this paper, we consider American option contracts when the underlying asset has stochastic dividends and stochastic volatility. We provide a full discussion of the theoretical foundations of American option valuation and exercise boundaries. We show how they depend on the various sources of uncertainty which drive dividend rates and volatility, and derive equilibrium asset prices, derivative prices and optimal exercise boundaries in a general equilibrium model. The theoretical models identify the relevant factors underlying option prices but yield fairly complex expressions which are difficult to estimate. We therefore adopt a nonparametric approach in order to investigate the reduced forms suggested by the theory. Indeed, we use nonparametric methods to estimate call prices and exercise boundaries conditional on dividends and volatility. Since the latter is a latent process, we propose several approaches, notably using EGARCH filtered estimates, implied and historical volatilities. The nonparametric approach allows us to test whether call prices and exercise decisions are primarily driven by dividends, as has been advocated by Harvey and Whaley (1992a. Journal of Financial Economics 30, 33-73; 1992b. Journal of Futures Markets 12, 123-137) and Fleming and Whaley (1994. Journal of Finance 49, 215-236) for the OEX contract, or whether stochastic volatility complements dividend uncertainty. We find that dividends alone do not account for all aspects of option pricing and exercise decisions, suggesting a need to include stochastic volatility. (C) 2000 Elsevier Science S.A. All rights reserved. JEL classification: C14; C51; D52; G13.
引用
收藏
页码:53 / 92
页数:40
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