Stability Study of Exponential Smooth Transition Double Autoregressive Model with Application
In this research, we propose a novel non-linear time series model referred to as the Exponential Smooth TransitionDouble Autoregressive Model of order p denoted as EXPSTDAR (p). This model is predicated on the double autoregressiveframework and incorporates an exponential function. Through the application of a local linearization technique, we derivea stability condition for a non-zero singular point of the model. And applying these conditions to the acquired models bymodeling real data that represents a weekly average closing price of Iron ore powder in dollars for the period from October2010 to May 2025 for several suggested orders of the model.
Authors
- Azher Mohammad
- Dler Abdulqader
- Omar Mustafa
Institutions
- University of Tikrit (IQ)
Publication Details
- Journal
- Statistics, Optimization & Information Computing (University of Cambridge)
- Published
- 2026-04-14
- DOI
- https://doi.org/10.19139/soic-2310-5070-3450
- Primary Topic
- Financial Risk and Volatility Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.00