Information Flows Around the Globe: Predicting Opening Gaps from Overnight Foreign Stock Price Patterns

Jan G. Gooijer, Cees Diks () and Łukasz T. Gątarek ()
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Łukasz T. Gątarek: University of Amsterdam

Central European Journal of Economic Modelling and Econometrics, 2012, vol. 4, issue 1, 23-44

Abstract: This paper describes a forecasting exercise of close-to-open returns on major global stock indices, based on high-frequency price patterns that have become available in foreign markets overnight. Generally speaking, out-ofsample forecast performance depends on the forecast method as well as the information that the forecasts are based on. In this paper both aspects are considered. The fact that the close-to-open gap is a scalar response variable to a functional variable, namely an overnight foreign price pattern, brings the prediction exercise in the realm of functional data analysis. Both parametric and non-parametric functional data analysis are considered, and compared with a simple linear benchmark model. The information set is varied by dividing global markets into three clusters, Asia-Pacific, Europe and North-America, and including or excluding price patterns on a per-cluster basis. The overall best performing forecast is nonparametric using all available information, suggesting the presence of nonlinear relations between the overnight price patterns and the opening gaps.

Keywords: Close-to-open gap forecasting; functional data analysis; international stock markets; nonparametric modeling (search for similar items in EconPapers)
JEL-codes: C14 C53 F37 G17 (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (4)

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Working Paper: Information Flows Around the Globe: Predicting Opening Gaps from Overnight Foreign Stock Price Patterns (2009)
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Persistent link: https://EconPapers.repec.org/RePEc:psc:journl:v:4:y:2012:i:1:p:23-44

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