2019
DOI: 10.1007/s10203-019-00247-w
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Asymptotic expansion for some local volatility models arising in finance

Abstract: In this paper we study the small noise asymptotic expansions for certain classes of local volatility models arising in finance. We provide explicit expressions for the involved coefficients as well as accurate estimates on the remainders. Moreover, we perform a detailed numerical analysis, with accuracy comparisons, of the obtained results by mean of the standard Monte Carlo technique as well as exploiting the polynomial Chaos Expansion approach.

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Cited by 6 publications
(3 citation statements)
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“…Performing a small-noise expansion [23,31,32], we can expand Equation (24) around := 1 K , so that, using the new variables:…”
Section: Moments Estimates For a Stochastic Initial Conditionmentioning
confidence: 99%
See 1 more Smart Citation
“…Performing a small-noise expansion [23,31,32], we can expand Equation (24) around := 1 K , so that, using the new variables:…”
Section: Moments Estimates For a Stochastic Initial Conditionmentioning
confidence: 99%
“…Performing a small-noise expansion [ 23 , 31 , 32 ], we can expand Equation ( 24 ) around , so that, using the new variables: we can see that the small noise expansion to the lowest order does coincide with the linear FP Equation ( 14 ).…”
Section: Theory and Calculationsmentioning
confidence: 99%
“…The usefulness of such expansions has been pointed out very early in many contexts, including differential geometry, analysis, quantum mechanics and statistical mechanics, see, e.g. [3,4,5,6,7,8,14,15,18,19,20,21,22,23,24,30,35,41,42,43,45,46,47,49,52,59,60,61,62,63] and references therein.…”
Section: Introductionmentioning
confidence: 99%