Abstract
We consider the stochastic volatility model d S t = σ t S t d W t ,d σ t = ω σ t d Z t , with (W t ,Z t ) uncorrelated standard Brownian motions. This is a special case of the Hull-White and the β=1 (log-normal) SABR model, which are widely used in financial practice. We study the properties of this model, discretized in time under several applications of the Euler-Maruyama scheme, and point out that the resulting model has certain properties which are different from those of the continuous time model. We study the asymptotics of the time-discretized model in the n→∞ limit of a very large number of time steps of size τ, at fixed \(\beta =\frac 12\omega ^{2}\tau n^{2}\) and \(\rho ={\sigma _{0}^{2}}\tau \), and derive three results: i) almost sure limits, ii) fluctuation results, and iii) explicit expressions for growth rates (Lyapunov exponents) of the positive integer moments of S t . Under the Euler-Maruyama discretization for (S t ,logσ t ), the Lyapunov exponents have a phase transition, which appears in numerical simulations of the model as a numerical explosion of the asset price moments. We derive criteria for the appearance of these explosions.
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Pirjol, D., Zhu, L. Asymptotics for the Euler-Discretized Hull-White Stochastic Volatility Model. Methodol Comput Appl Probab 20, 289–331 (2018). https://doi.org/10.1007/s11009-017-9548-5
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DOI: https://doi.org/10.1007/s11009-017-9548-5
Keywords
- Linear stochastic recursion
- Lyapunov exponent
- Phase transitions
- Critical exponent
- Large deviations
- Central limit theorems