Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7360664 | Journal of Empirical Finance | 2016 | 13 Pages |
Abstract
In this paper we propose a novel nonlinear model to capture asymmetries in real estate cycles. The approach involves a particular parametrization of the transition function used in the transition equation of a smooth transition autoregressive model which improves the fit in the non-central probability region. The dynamic symmetry in house price cycles is strongly rejected for the housing markets taken into consideration. Further, our results show that the proposed model performs well in a out of sample forecasting exercise.
Related Topics
Social Sciences and Humanities
Economics, Econometrics and Finance
Economics and Econometrics
Authors
Alessandra Canepa, Emilio Zanetti Chini,