In this paper, the concept of linear cointegration as introduced by Engle and Granger [5] is merged into the local paradigm. Adopting a local approach enables the achievement of a local error correction model characterised by dynamic parameters.Another important result obtained using the local paradigm is that the mechanism that leads the dynamic system back to a steady state is no longer a constant: it is a function not defined a priori but estimated point by point.
CITATION STYLE
Pizzi, C. (2010). Nonlinear cointegration in financial time series. In Mathematical and Statistical Methods for Actuarial Sciences and Finance (pp. 263–271). Kluwer Academic Publishers. https://doi.org/10.1007/978-88-470-1481-7_27
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