This paper proposes a two-step method for an omnibus misspecification test for constant parameters in the volatility equation of stochastic volatility models. The proposed test has a well-known null asymptotic distribution free of nuisance parameters. It is easy to implement and has low computational cost. Monte Carlo simulations support the relevance of the proposed method, evaluate the performance of the procedure, and highlight its small computational load. An empirical application shows the relevance of the procedure.
机构:
Univ W Bohemia, Fac Econ, Dept Stat & Operat Res, Plzen 30614, Czech RepublicUniv W Bohemia, Fac Econ, Dept Stat & Operat Res, Plzen 30614, Czech Republic
Kuchynka, Alexandr
PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON MATHEMATICAL METHODS IN ECONOMICS 2008,
2008,
: 309
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315
机构:
Univ London London Sch Econ & Polit Sci, Dept Econ, London WC2A 2AE, EnglandUniv London London Sch Econ & Polit Sci, Dept Econ, London WC2A 2AE, England
机构:
Bloomberg LP Quantitat Financial Res, New York, NY USABloomberg LP Quantitat Financial Res, New York, NY USA
Corlay, Sylvain
Lebovits, Joachim
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h-index: 0
机构:
Univ Paris 06, Regular Team, INRIA Saclay, F-75252 Paris 5, France
Ecole Cent Paris, MAS Lab, Paris, FranceBloomberg LP Quantitat Financial Res, New York, NY USA
Lebovits, Joachim
Vehel, Jacques Levy
论文数: 0引用数: 0
h-index: 0
机构:
Ecole Cent Paris, MAS Lab, Paris, FranceBloomberg LP Quantitat Financial Res, New York, NY USA
机构:
Bank England, London EC2R 8AH, England
Aarhus Univ, CREATES, Sch Econ & Management, DK-8000 Aarhus C, DenmarkBank England, London EC2R 8AH, England