GARCH Estimation and Discrete Stock Prices

Henrik Amilon ()
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Henrik Amilon: Department of Economics, Lund University, Postal: Department of Economics, School of Economics and Management, Lund University, Box 7082, S-220 07 Lund, Sweden

No 2001:6, Working Papers from Lund University, Department of Economics

Abstract: The continuous-state GARCH model is misspecified if applied to returns calculated from discrete price series. This paper proposes modifications of the above model for handling such cases. The focus is on the AR-GARCH framework, but the same ideas could be used for other stochastic processes as well. Using Swedish stock price data and a stochastic optimization algorithm, simulated annealing, I compare the parameter estimates and asymptotic standard errors from the approximative model and the extended models. I find small deviations between the models for longer time series and small tick sizes, but larger differences for shorter series and for larger tick size to price ratios, mainly in the conditional variance parameter estimates. None of the models provide continuous residuals. By constructing generalized residuals, I show how valid residual diagnostic and specification tests can be performed in some cases.

Keywords: EM estimation; compass rose; stock return modeling; latent variables; generalized residuals (search for similar items in EconPapers)
JEL-codes: C35 C51 C52 (search for similar items in EconPapers)
Pages: 17 pages
Date: 2001-03-30, Revised 2001-08-03
New Economics Papers: this item is included in nep-ecm, nep-ets, nep-fin and nep-fmk
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Persistent link: https://EconPapers.repec.org/RePEc:hhs:lunewp:2001_006

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