Exponential ergodicity of an affine two-factor model based on the $\alpha$-root process
Peng Jin, Jonas Kremer, Barbara R\"udiger

TL;DR
This paper proves that a specific two-factor affine model, which includes a generalized CIR process, exhibits exponential ergodicity for certain parameter ranges, enhancing understanding of its long-term behavior.
Contribution
The paper establishes exponential ergodicity for an affine two-factor model with an alpha-root process, extending previous results to a broader class of models.
Findings
Model is exponentially ergodic for alpha in (1,2)
Generalizes the CIR process within the affine framework
Provides conditions for stability and long-term behavior
Abstract
We study an affine two-factor model introduced by Barczy et al. (2014). One component of this two-dimensional model is the so-called -root process, which generalizes the well known CIR process. In this paper, we show that this affine two-factor model is exponentially ergodic when .
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComplex Systems and Time Series Analysis
