2022
DOI: 10.1007/s00780-022-00488-5
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Jacobi stochastic volatility factor for the LIBOR market model

Abstract: We propose a new method to efficiently price swap rates derivatives under the LIBOR Market Model with Stochastic Volatility and Displaced Diffusion (DDSVLMM). This method uses polynomial processes combined with Gram-Charlier expansion techniques.The standard pricing method for this model relies on dynamics freezing to recover an Hestontype model for which analytical formulas are available. This approach is time consuming and efficient approximations based on Gram-Charlier expansions have been recently proposed… Show more

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Cited by 3 publications
(2 citation statements)
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References 36 publications
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“…, the instantaneous correlation is smaller than ρ(t) at each time. Observing that Q(v) → v when (v min , v max ) → (0, +∞), it can be shown that the swap rate process defined by (3.4) converges weakly (and strongly) towards the process defined in (3.3) (see [8]); thus, present framework (3.4) can be seen as a numerical approximation of (3.3). The fact that the volatility process remains bounded through time allows to write swaptions prices as convergent series whose coefficient are linear combinations of the moments of the swap rates.…”
Section: Jacobi Process In the Ddsvlmmmentioning
confidence: 83%
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“…, the instantaneous correlation is smaller than ρ(t) at each time. Observing that Q(v) → v when (v min , v max ) → (0, +∞), it can be shown that the swap rate process defined by (3.4) converges weakly (and strongly) towards the process defined in (3.3) (see [8]); thus, present framework (3.4) can be seen as a numerical approximation of (3.3). The fact that the volatility process remains bounded through time allows to write swaptions prices as convergent series whose coefficient are linear combinations of the moments of the swap rates.…”
Section: Jacobi Process In the Ddsvlmmmentioning
confidence: 83%
“…It has been introduced in [8] the Jacobi version of the DDSVLMM which is an approximation of the model (3.3). In the proposed setting, the volatility factor is modelled by a [v min , v max ]-valued Jacobi process.…”
Section: Jacobi Process In the Ddsvlmmmentioning
confidence: 99%