Weak Form Efficiency of Selected European Stock Markets: Alternative Testing Approaches

Giuseppina Albano (), Michele La Rocca () and Cira Perna ()
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Giuseppina Albano: University of Salerno, Department of Economics and Statistics
Michele La Rocca: University of Salerno, Department of Economics and Statistics
Cira Perna: University of Salerno, Department of Economics and Statistics

A chapter in Mathematical and Statistical Methods for Actuarial Sciences and Finance, 2014, pp 1-12 from Springer

Abstract: Abstract Modelling and forecasting financial data is an important problem which has received a lot of attention especially for the intrinsic difficulty in practical applications. The present paper investigates the weak form efficiency of some selected European markets: AEX, CAC40, DAX, FTSE100, FTSEMIB, IBEX35. In order to keep into account nonlinear structures usually found in returns time series data, a non parametric test based on neural network models has been employed. The test procedure has been structured as a multiple testing scheme in order to avoid any data snooping problem and to keep under control the familywise error rate. For sake of comparison we also discuss the results obtained by applying some classical and well known tests based on the Random Walk Hypotheses. The data analysis results clearly show that ignoring the multiple testing structure of these latter test might lead to spurious results.

Keywords: Efficient Market Hypothesis; Familywise Error Rate; Wild Bootstrap; Return Time Series; Data Analysis Application (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-02499-8_1

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DOI: 10.1007/978-3-319-02499-8_1

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