Abstract
In this chapter we survey models of interest rate derivatives which take the instantaneous spot interest rate as the underlying factor. The continuous hedging argument is extended so as to model the term structure of interest rates and other interest rate derivative securities. This basic approach is due to Vasicek (J Financ Econ 5:177–188, 1977) and hence we shall often refer to it as the Vasicek approach. By specifying different functional forms for the drift, the diffusion and the market price of risk, we develop three well known spot rate models, namely the Vasicek model, the Hull–White model and the Cox–Ingersoll–Ross model. Then we present a general framework for pricing bond options and we apply this framework to obtain closed form solutions for bond options under the specifications of the Hull–White and the Cox–Ingersoll–Ross model. Finally we discuss the calibration of the Hull–White model to the currently observed yield curve.
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Notes
- 1.
Recall that by the rules of stochastic calculus
$$\displaystyle{\frac{\mathit{dZ}} {Z} = \frac{\mathit{dP}} {P} -\frac{\mathit{dA}} {A} -\frac{\mathit{dP}} {P} \cdot \frac{\mathit{dA}} {A} + \left (\frac{\mathit{dA}} {A} \right )^{2}.}$$ - 2.
Make the identifications \(x \rightarrow r,v(t,r) \rightarrow P(r,t,T),\lambda = -1,f[s,x(s)] \rightarrow r(s)\).
- 3.
- 4.
We employ the notation \(a_{t} = \frac{\partial } {\partial t}a(t,T)\), \(b_{t} = \frac{\partial } {\partial t}b(t,T)\).
- 5.
Equation (23.29) can be re-arranged into
$$\displaystyle{ \frac{d} {\mathit{dt}}\left (b(t,T)e^{-\kappa t}\right ) = -e^{-\kappa t}}$$and integrating t to T we obtain
$$\displaystyle{b(T,T)e^{-\kappa T} - b(t,T)e^{-\kappa t} = -\int _{t}^{T}e^{-\kappa s}\mathit{ds} = -\frac{1} {\kappa } (e^{-\kappa t} - e^{-\kappa T}).}$$Use of the boundary condition b(T, T) = 0 and some re-arrangement yields (23.31).
- 6.
Note that
$$\displaystyle{\int _{t}^{T}b(s,T)\mathit{ds} =\int _{ t}^{T}\frac{(1 - e^{-\kappa (T-s)})} {\kappa } \mathit{ds} =\int _{ 0}^{T-t}\frac{(1 - e^{-\kappa u})} {\kappa } \mathit{du} = \frac{(T - t)} {\kappa } + \frac{1} {\kappa ^{2}}(e^{-\kappa (T-t)} - 1)}$$and
$$\displaystyle\begin{array}{rcl} \int _{t}^{T}b^{2}(s,T)\mathit{ds}& =& \int _{ 0}^{T-t}\frac{(1 - e^{-\kappa u})^{2}} {\kappa ^{2}} \mathit{du} {}\\ & =& \frac{1} {\kappa ^{2}}\left [(T - t) + \frac{2} {\kappa } (e^{-\kappa (T-t)} - 1) -\frac{1} {2\kappa }(e^{-2\kappa (T-t)} - 1)\right ] {}\\ & =& \frac{(T - t)} {\kappa ^{2}} - \frac{1} {2\kappa ^{3}}\left \{(e^{-\kappa (T-t)} - 1)^{2} - 2(e^{-\kappa (T-t)} - 1)\right \}. {}\\ \end{array}$$ - 7.
One could use this insight to infer a value for the unknown factor θ from the currently observed yield curve, from which one could obtain an estimate of ρ ∞ .
- 8.
Note that \(\frac{d} {\mathit{dt}}\mathcal{K}(t) =\kappa (t)\) so that \(\frac{d} {\mathit{dt}}e^{\mathcal{K}(t)} = e^{\mathcal{K}(t)}\kappa (t)\). Multiplying across (23.44) by \(e^{-\mathcal{K}(t)}\) and re-arranging we obtain
$$\displaystyle{ \frac{d} {\mathit{dt}}(e^{-\mathcal{K}(t)}b(t,T)) = -e^{-\mathcal{K}(t)}.}$$The result then follows by integrating t to T and following manipulations similar to those in footnote 5.
- 9.
In fact CIR employ a dynamic general equilibrium framework to derive the bond pricing equation and under specific assumptions about investor preferences, end up with a market price of risk given by (23.54).
- 10.
A more precise notation for the option value would be C(r, t, T C , T). However to ease the notation we shall usually just write C(r, t), unless we need to highlight the dependence on option maturity (T C ) or underlying bond maturity (T), as in Sect. 23.7.
- 11.
- 12.
Make the identification T → T C , λ → −1, g[x(s), s] → x(s), x(s) → r(s), λ → −1, \(f(x(T)) \rightarrow C(r(T_{C}),T_{C})\).
- 13.
The measure \(\mathbb{P}^{{\ast}}\) that we develop below is known as the forward measure because under this measure the instantaneous forward rate equals the expected future forward rate, as we show in Sect. 25.5
- 14.
In the ensuing discussion we write the bond and option prices with their full functional dependence, e.g. C(r, t, T C , T) and P(r, t, T C ) to give greater clarity.
- 15.
Strictly speaking we should write X(r, t, T C , T). However it turns out (see Eq. (23.97) below) that the dynamics for r do not enter directly into the dynamics for X.
- 16.
References
Cox, J. C., Ingersoll, J. E., & Ross, S. A. (1985a). A theory of the term structure of interest rates. Econometrica, 53(2), 385–406.
Cox, J. C., Ingersoll, J. E., & Ross, S. A. (1985b). An intertemporal general equilibrium model of asset prices. Econometrica, 53(2), 363–384.
Hull, J., & White, A. (1990). Pricing interest-rate-derivative securities. Review of Financial Studies, 3(4), 573–592.
Merton, R. C. (1973). Theory of rational option pricing. Bell Journal of Economics and Management Science, 4, 141–183.
Vasicek, O. (1977). An equilibrium characterisation of the term structure. Journal of Financial Economics, 5, 177–188.
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Appendices
Appendix
Appendix 23.1 Solution of the Ordinary Differential Equations (23.59) and (23.60)
Consider the ordinary differential equation
where α 0 and α 1 are constants. The quadratic in the brackets on the RHS can be factorised as
where
Thus the ordinary differential equation (23.125) can be written
or as
With some slight re-arrangement the last equation can be written
Integrating the last equation from t to T we obtain
i.e.
which on making use of b(T, T) = 0 becomes
i.e.
Solving the last equation for b(t, T) we obtain
Using the fact that \(\phi _{1}\phi _{2} = -1/\alpha _{0}\) this simplifies slightly to
To solve (23.59), we set \(\alpha _{0} =\sigma ^{2}/2,\alpha _{1} =\alpha +\lambda\), so that we obtain
where
Next from Eq. (23.62) of Sect. 23.4.3
Making the transformation \(u =\beta (T - s)\) we see that
Substituting the expression (23.132) for b(t, T) (and setting \(\tau = T - t\)) we obtain
Consider the integral
Finally
and so
Using the fact that \(\phi _{1}\phi _{2} = -2/\sigma ^{2}\) and \(\phi _{1} -\phi _{2} = 2\beta /\sigma ^{2}\) we finally obtain
When allowing for time-varying coefficients, the steps leading to (23.128) remain the same as in the constant coefficients case, only now ϕ 1, ϕ 2, σ and β become functions of time. Thus in order to use the same functional form for the solution we need to define
Thus integration of (23.128) will yield (23.132) with β replaced by \(\bar{\beta }(t,T)\).
Appendix 23.2 Calculating θ(T) in the Calibration of the Hull–White Model
From Eq. (23.110) we note that
Differentiating Eq. (23.117) with respect to T yields
Rearranging
Differentiating again with respect to T we obtain
Rearranging this last equation we obtain
Problems
Problem 23.1
Equation (23.15) shows that under the equivalent martingale measure the bond price dynamics are given by
with σ P (r, t, T) defined by (23.5). Use Ito’s lemma to show that the yield to maturity
satisfies
Problem 23.2
Recall the relation (22.9) between the bond price P(t, T) and the instantaneous forward rate f(t, T). By considering the quantity
and assuming that
show that f(t, T) satisfies the stochastic differential equations
where
Problem 23.3
Consider the Hull–White model of Sect. 23.4.2, for which the bond price P(t, T) is given by (23.25) with a(t, T) and b(t, T) given by Eqs. (23.47) and (23.48). Obtain the corresponding expression for the forward rate f(t, T). Show what this expression reduces to in the special case of the Vasicek model.
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Chiarella, C., He, XZ., Nikitopoulos, C.S. (2015). Interest Rate Derivatives: One Factor Spot Rate Models. In: Derivative Security Pricing. Dynamic Modeling and Econometrics in Economics and Finance, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45906-5_23
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