Abstract
We consider the stochastic volatility model dSt = σtStdWt,dσt = ωσtdZt, with (Wt,Zt) 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 β=12ω2τn2 and ρ=σ02τ, 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 St. Under the Euler-Maruyama discretization for (St,logσt), 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.
| Original language | English |
|---|---|
| Pages (from-to) | 289-331 |
| Number of pages | 43 |
| Journal | Methodology and Computing in Applied Probability |
| Volume | 20 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 Mar 2018 |
Keywords
- Central limit theorems
- Critical exponent
- Large deviations
- Linear stochastic recursion
- Lyapunov exponent
- Phase transitions
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