Pitarakis, Jean-Yves (2012): Functional cointegration: definition and nonparametric estimation.
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Abstract
We formally define a concept of functional cointegration linking the dynamics of two time series via a functional coefficient. This is achieved through the use of a concept of summability as an alternative to I(1)'ness which is no longer suitable under nonlinear dynamics. We subsequently introduce a nonparametric approach for estimating the unknown functional coefficients. Our method is based on a piecewise local least squares principle and is computationally simple to implement. We establish its consistency properties and evaluate its performance in finite samples.
Item Type: | MPRA Paper |
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Original Title: | Functional cointegration: definition and nonparametric estimation |
Language: | English |
Keywords: | Functional Coefficients, Unit Roots, Cointegration, Piecewise Local Linear Estimation |
Subjects: | C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C50 - General C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes |
Item ID: | 38846 |
Depositing User: | J Pitarakis |
Date Deposited: | 16 May 2012 15:03 |
Last Modified: | 27 Sep 2019 16:35 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/38846 |