From CKLS Process to CIR-type and OU-type Processes: Using a Twice-differentiable Mapping and Generalized Girsanov's Theorem
Boyuan Ning, Yasutaka Shimizu

TL;DR
This paper transforms a CKLS short-rate model into a CIR-type process using a twice-differentiable mapping and a generalized Girsanov theorem, enabling analysis of its properties and connections to OU processes.
Contribution
It introduces a novel transformation and measure change for CKLS models, correcting previous errors and establishing conditions for the resulting process to be well-defined and useful in finance.
Findings
The transformed process has a CIR-type diffusion with nonlinear drift.
Existence, uniqueness, and positivity of solutions are proven under specific parameters.
The Radon-Nikodym derivative is shown to be a true martingale using boundary classification.
Abstract
We study a twice-differentiable transformation applied to a CKLS-type short-rate model with linear drift and power-type diffusion. The transformation yields a new process whose diffusion component has a square-root structure and whose drift becomes nonlinear. A critical reassessment of earlier studies using similar transformations reveals fundamental errors in model specification and derivations. To address this, we introduce a generalized Girsanov change of measure that adjusts the drift of the transformed process. Under the resulting equivalent measure, the dynamics reduce to the classical Cox-Ingersoll-Ross (CIR) model. Using the Yamada-Watanabe-Engelbert theorem, we establish existence, uniqueness, and positivity of solutions, and show that the combined transformation and measure change is valid only under specific parameter restrictions, including those most relevant for financial…
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Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling · Complex Systems and Time Series Analysis
