We introduce an asymptotic expansion for forward start options in a multi-factor local-stochastic volatility model. We derive explicit approximation formulas for the so-called forward implied volatility which can be useful to price complex path-dependent options, as cliquets. The expansion involves only polynomials and can be computed without the need for numerical procedures or special functions. Recent results on the exploding behaviour of the forward smile in the Heston model are confirmed and generalized to a wider class of local-stochastic volatility models. We illustrate the effectiveness of the technique through some numerical tests. Mathematica codes are freely available on the authors' website
This paper consists in providing and mathematically analyzing the expansion of an option price (with...
A good options pricing model should be able to fit the market volatility surface with high accuracy....
A quantitative analysis on the pricing of forward starting options under stochastic volatility and s...
We introduce an asymptotic expansion for forward start options in a multi-factor local-stochastic vo...
none2noWe introduce an approximation of forward-start options in a multi-factor local-stochastic vol...
We study asymptotics of forward-start option prices and the forward implied volatility smile using t...
We introduce an analytical approximation to efficiently price forward start options on equ...
We introduce an analytical approximation to efficiently price forward start options on equ...
We provide a full characterisation of the large-maturity forward implied volatility smile in the Hes...
In this work we address the problem of finding formulas for efficient and reliable analytical approx...
We consider the problem of pricing European forward starting options in the presence of stochastic v...
We consider an asset whose risk-neutral dynamics are described by a general class of local-stochasti...
In this paper, we study the small noise asymptotic expansions for certain classes of local volatilit...
We present a simplified approach to the analytical approximation of the transition density related t...
We present a simplified approach to the analytical approximation of the transition density related ...
This paper consists in providing and mathematically analyzing the expansion of an option price (with...
A good options pricing model should be able to fit the market volatility surface with high accuracy....
A quantitative analysis on the pricing of forward starting options under stochastic volatility and s...
We introduce an asymptotic expansion for forward start options in a multi-factor local-stochastic vo...
none2noWe introduce an approximation of forward-start options in a multi-factor local-stochastic vol...
We study asymptotics of forward-start option prices and the forward implied volatility smile using t...
We introduce an analytical approximation to efficiently price forward start options on equ...
We introduce an analytical approximation to efficiently price forward start options on equ...
We provide a full characterisation of the large-maturity forward implied volatility smile in the Hes...
In this work we address the problem of finding formulas for efficient and reliable analytical approx...
We consider the problem of pricing European forward starting options in the presence of stochastic v...
We consider an asset whose risk-neutral dynamics are described by a general class of local-stochasti...
In this paper, we study the small noise asymptotic expansions for certain classes of local volatilit...
We present a simplified approach to the analytical approximation of the transition density related t...
We present a simplified approach to the analytical approximation of the transition density related ...
This paper consists in providing and mathematically analyzing the expansion of an option price (with...
A good options pricing model should be able to fit the market volatility surface with high accuracy....
A quantitative analysis on the pricing of forward starting options under stochastic volatility and s...