
TL;DR
This paper introduces a short rate model driven by positive semidefinite matrix processes, capable of replicating various yield curve shapes such as normal, inverse, or humped, under specific conditions.
Contribution
It presents a novel matrix-based short rate model with derived conditions for different yield curve shapes, expanding the modeling tools for interest rate dynamics.
Findings
Model can produce normal, inverse, and humped yield curves
Derived sufficient conditions for yield curve shapes
Extends short rate modeling to matrix-valued stochastic processes
Abstract
We consider a short rate model, driven by a stochastic process on the cone of positive semidefinite matrices. We derive sufficient conditions ensuring that the model replicates normal, inverse or humped yield curves.
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Taxonomy
TopicsStatistical Methods and Inference · Markov Chains and Monte Carlo Methods · Advanced Optimization Algorithms Research
