Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6869176 | Computational Statistics & Data Analysis | 2016 | 22 Pages |
Abstract
A modification of one of the most popular stochastic model in describing financial indexes dynamics is introduced. For describing a nonlinear behavior of volatility, a threshold noise indicator in the autoregressive time series of stochastic volatility is used. Toward this end, the model named the Split-SV model is introduced and its basic stochastic properties are investigated. Furthermore, the Empirical Characteristic Function (ECF) method is used for obtaining the parameter estimations of the model and a numerical simulation of the obtained estimates is given as well. Finally, the Split-SV model is applied for fitting the empirical data: the daily returns of the exchange rates of GBP and USD per euro.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Vladica S. StojanoviÄ, Biljana Ä. PopoviÄ, Gradimir V. MilovanoviÄ,