2022
DOI: 10.3934/dcdss.2022026
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Stochastic local volatility models and the Wei-Norman factorization method

Abstract: <p style='text-indent:20px;'>In this paper, we show that a time-dependent local stochastic volatility (SLV) model can be reduced to a system of autonomous PDEs that can be solved using the heat kernel, by means of the Wei-Norman factorization method and Lie algebraic techniques. Then, we compare the results of traditional Monte Carlo simulations with the explicit solutions obtained by said techniques. This approach is new in the literature and, in addition to reducing a non-autonomous problem into an aut… Show more

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Cited by 4 publications
(2 citation statements)
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“…If the implied volatility surface is re-calibrated sufficiently frequently, then out of sample forecasts of option prices become arbitrarily accurate" Berkowitz (2001). For details on more advanced approaches such as stochastic local volatility (SLV) models, see Guerrero & Orlando (2022).…”
Section: Literature Reviewmentioning
confidence: 99%
“…If the implied volatility surface is re-calibrated sufficiently frequently, then out of sample forecasts of option prices become arbitrarily accurate" Berkowitz (2001). For details on more advanced approaches such as stochastic local volatility (SLV) models, see Guerrero & Orlando (2022).…”
Section: Literature Reviewmentioning
confidence: 99%
“…In that work, the authors intended to model interest rate volatility and term structure by linking yields on volatility. The two-factor model faired better than the GARCH model (Bollerslev, 1986) because adding the volatility as a second state variable allows modeling humps, troughs, and the relation between levels and volatility (Guerrero et al, 2022).…”
Section: Introductionmentioning
confidence: 99%