2006
DOI: 10.1111/j.1467-9469.2006.00479.x
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Estimation of Integrated Volatility in Continuous‐Time Financial Models with Applications to Goodness‐of‐Fit Testing

Abstract: Properties of a specification test for the parametric form of the variance function in diffusionThe test is based on the estimation of certain integrals of the volatility function. If the volatility function does not depend on the variable x it is known that the corresponding statistics have an asymptotic normal distribution. However, most models of mathematical finance use a volatility function which depends on the state x. In this paper we prove that in the general case, where σ depends also on x the estimat… Show more

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Cited by 45 publications
(42 citation statements)
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“…Theorem 3.1, Example 3.2 and Theorem 3.6 of this paper or [4], [17]), or for performing various test procedures (see e.g. [1], [5], [8]). The aim of this paper is to present a short survey of these theoretical results and to carefully explain the main concepts and ideas of the proofs.…”
Section: Introductionmentioning
confidence: 99%
“…Theorem 3.1, Example 3.2 and Theorem 3.6 of this paper or [4], [17]), or for performing various test procedures (see e.g. [1], [5], [8]). The aim of this paper is to present a short survey of these theoretical results and to carefully explain the main concepts and ideas of the proofs.…”
Section: Introductionmentioning
confidence: 99%
“…This also holds true for alternative model selection methods, such as goodness-of-fit tests, which are proposed by, among many others, DETTE (1999), VETTER (2006), andDETTE (2008). However, conditional on the underlying purpose, some specifications might be better suited than others in terms of estimation efficiency.…”
Section: Introductionmentioning
confidence: 99%
“…f (x) = f (−x) for all x ∈ R. This type of functionals play a very important role in mathematical finance, where they are used for various estimation and testing procedures; see e.g. [4], [5], [7] and [11] among many others.…”
Section: Stochastic Expansion Of Generalized Power Variation Of Diffumentioning
confidence: 99%
“…[5,18]), testing approaches for semimartingales (see e.g. [2,7]) or numerical analysis (see e.g. [12]).…”
Section: Introductionmentioning
confidence: 99%