کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
960353 929445 2007 40 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Maximum likelihood estimation of stochastic volatility models
موضوعات مرتبط
علوم انسانی و اجتماعی مدیریت، کسب و کار و حسابداری حسابداری
پیش نمایش صفحه اول مقاله
Maximum likelihood estimation of stochastic volatility models
چکیده انگلیسی

We develop and implement a method for maximum likelihood estimation in closed-form of stochastic volatility models. Using Monte Carlo simulations, we compare a full likelihood procedure, where an option price is inverted into the unobservable volatility state, to an approximate likelihood procedure where the volatility state is replaced by proxies based on the implied volatility of a short-dated at-the-money option. The approximation results in a small loss of accuracy relative to the standard errors due to sampling noise. We apply this method to market prices of index options for several stochastic volatility models, and compare the characteristics of the estimated models. The evidence for a general CEV model, which nests both the affine Heston model and a GARCH model, suggests that the elasticity of variance of volatility lies between that assumed by the two nested models.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Financial Economics - Volume 83, Issue 2, February 2007, Pages 413–452
نویسندگان
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