Regime-switching affine term structures
Andreas Celary (1), Paul Eisenberg (1), Zehra Eksi (1) ((1) Institute, for Statistics, Mathematics, WU-University of Economics, Business,, Vienna, Austria)

TL;DR
This paper introduces a regime-switching affine term structure model for forward rates influenced by a Markov chain, providing explicit solutions and an algorithm for consistent forward curve modeling, with applications to interest rate and energy markets.
Contribution
It develops a tractable affine HJM framework with explicit solutions for regime-switching forward rate models, applicable to interest rate and energy markets.
Findings
Explicit solutions for regime-switching forward curves
An algorithm for consistent forward curve modeling
Numerical examples demonstrating model applicability
Abstract
We consider an HJM model setting for Markov-chain modulated forward rates. The underlying Markov chain is assumed to induce regime switches on the forward curve dynamics. Our primary focus is on the interest rate and energy futures markets. After deriving HJM-drift conditions for the two markets, we prove under the assumption of affine structure for the term structure that the forward curves are solutions to specific systems of ODEs that can be solved explicitly in many cases. This allows for a tractable model setting, and we present an algorithm for obtaining consistent forward curve models within our framework. We conclude by presenting some simple numerical examples.
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
TopicsStochastic processes and financial applications · Economic theories and models
