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Cox-Ingersoll-Ross Model, CIR Model 📂Stochastic Differential Equations

Cox-Ingersoll-Ross Model, CIR Model

Model 1

dXt=(αβXt)dt+σXtdWt,X0>0 d X_{t} = \left( \alpha - \beta X_{t} \right) dt + \sigma \sqrt{X_{t}} d W_{t} \qquad , X_{0} > 0 Assume α,β,σ>0\alpha, \beta, \sigma > 0 satisfies 2α>σ22 \alpha > \sigma^{2}. The stochastic differential equation mentioned above is called the CIR model. Xt=αβ+eβt(X0αβ)+σeβt0teβuXudWu X_{t} = {{ \alpha } \over { \beta }} + e^{-\beta t} \left( X_{0} - {{ \alpha } \over { \beta }} \right) + \sigma e^{-\beta t} \int_{0}^{t} e^{\beta u} \sqrt{X_{u}} d W_{u}

Variables

  • XtX_{t}: Represents either the Interest Rate or the Gene frequency.

Parameters

  • α/β\alpha / \beta: Known as the Mean Reversion Level, to which XtX_{t} tends to return over the long term.
  • α>0\alpha > 0: The Speed of Adjustment, where a higher value means a faster return to the mean.
  • σ>0\sigma > 0: Represents Volatility.

Explanation

The CIR model, first introduced by Feller in 1951 as an equation describing population growth, became widely known as a model explaining short-term interest rate movements through Cox, Ingersol, and Ross in 1985. It can also be referred to simply as the Stochastic Mean-reverting Square-root Growth Equation, but it is commonly now called the CIR (Growth) model.

Its derivation is similar to the Ornstein-Uhlenbeck process, and it also has the property of reverting to the mean over the long term. In the short term, the adjustment speed α\alpha influences it, but over the long term, it is guaranteed to revert in the direction of α/β\alpha / \beta. The diffusion coefficient σXt\sigma \sqrt{X_{t}} describes volatility proportional not to XtX_{t} itself but to Xt\sqrt{X_{t}}. This value is singular at 00, so if the initial value is X0>0X_{0} > 0, XtX_{t} will never be negative for any value of tt.

These characteristics describe that interest rates will not become negative and that over the long term, variations will be seen around the mean level. Of course, in actual economic phenomena, negative interest rates can exist, but considering just the nominal figures, it can be seen as a reasonably rational assumption.


  1. Panik. (2017). Stochastic Differential Equations: An Introduction with Applications in Population Dynamics Modeling: p182. ↩︎