We propose a convolution based approach to the simulation of a modified version of a unit root process where the state variable Y t − 1 is dependent on the innovation ε t . The dependence structure is given by a copula function C. We study by simulation the e ff ect of a negative correlation on the properties of unit roots. We call this process C-UR(1).
Gobbi Fabio (2016). Convolution Based Unit Root Processes: A Simulation Approach. INTERNATIONAL JOURNAL OF STATISTICS AND PROBABILITY, 5(6), 22-31.
Convolution Based Unit Root Processes: A Simulation Approach
Gobbi Fabio
2016
Abstract
We propose a convolution based approach to the simulation of a modified version of a unit root process where the state variable Y t − 1 is dependent on the innovation ε t . The dependence structure is given by a copula function C. We study by simulation the e ff ect of a negative correlation on the properties of unit roots. We call this process C-UR(1).File in questo prodotto:
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