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Nonparametric Analysis of Financial Time Series by the Kernel Methodology

This paper aims to study, in the most recent historical time period, the efficiency of the Paris Stock Exchange market. We test its weak form while analysing the stock exchange returns series by nonparametric methods, using kernel methodology in particular. In doing so, our approach extends the traditional view treating the observed cyclical fluctuations on this market.
Year of publication:
2006
Authors: Chikhi, Mohamed ; Diebolt, Claude
Institutions: Association Française de Cliométrie - AFC
Subject: Efficiency | random walk process | kernel methodology | functional autoregressive process | forecasting | cliometrics
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application/pdf
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Type of publication: Book / Working Paper
Notes:
Number 06-11 22 pages
Classification: C22 - Time-Series Models ; G14 - Information and Market Efficiency; Event Studies
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Persistent link: https://www.econbiz.de/10005467217
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