We present in a Monte Carlo simulation framework, a novel approach for the evaluation of hybrid local volatility [Risk, 1994, 7, 18–20], [Int. J. Theor. Appl. Finance, 1998, 1, 61–110] models. In particular, we consider the stochastic local volatility model—see e.g. Lipton et al. [Quant. Finance, 2014, 14, 1899–1922], Piterbarg [Risk, 2007, April, 84–89], Tataru and Fisher [Quantitative Development Group, Bloomberg Version 1, 2010], Lipton [Risk, 2002, 15, 61–66]—and the local volatility model incorporating st
This paper is concerned with simulation-based inference in generalized models of stochastic volatili...
We consider an asset whose risk-neutral dynamics are described by a general class of local-stochasti...
We propose a novel and generic calibration technique for four-factor foreign-exchange hybrid local-s...
We present in a Monte Carlo simulation framework, a novel approach for the evaluation of hybrid loca...
htmlabstractIn this article we propose an efficient Monte Carlo scheme for simulating the stochastic...
Many different models exist to describe the behaviour of asset prices and are used to value options ...
In practice, the choice of using a local volatility model or a stochastic volatility model is made a...
A new version of the local scale model of Shephard (1994) is presented. Its features are identically...
The hybrid Monte Carlo (HMC) algorithm is applied for the Bayesian inference of the stochastic volat...
We propose a new framework for modeling stochastic local volatility, with poten-tial applications to...
A general purpose of mathematical models is to accurately mimic some observed phenomena in the real ...
Local volatility models are commonly used for pricing and hedging exotic options consistently with a...
This thesis presents our study on using the hybrid stochastic-local volatility model for option pric...
Stochastic volatility models are important tools for studying the behavior of many financial markets...
Monte Carlo methods are highly appreciated and intensively employed in computational finance in the ...
This paper is concerned with simulation-based inference in generalized models of stochastic volatili...
We consider an asset whose risk-neutral dynamics are described by a general class of local-stochasti...
We propose a novel and generic calibration technique for four-factor foreign-exchange hybrid local-s...
We present in a Monte Carlo simulation framework, a novel approach for the evaluation of hybrid loca...
htmlabstractIn this article we propose an efficient Monte Carlo scheme for simulating the stochastic...
Many different models exist to describe the behaviour of asset prices and are used to value options ...
In practice, the choice of using a local volatility model or a stochastic volatility model is made a...
A new version of the local scale model of Shephard (1994) is presented. Its features are identically...
The hybrid Monte Carlo (HMC) algorithm is applied for the Bayesian inference of the stochastic volat...
We propose a new framework for modeling stochastic local volatility, with poten-tial applications to...
A general purpose of mathematical models is to accurately mimic some observed phenomena in the real ...
Local volatility models are commonly used for pricing and hedging exotic options consistently with a...
This thesis presents our study on using the hybrid stochastic-local volatility model for option pric...
Stochastic volatility models are important tools for studying the behavior of many financial markets...
Monte Carlo methods are highly appreciated and intensively employed in computational finance in the ...
This paper is concerned with simulation-based inference in generalized models of stochastic volatili...
We consider an asset whose risk-neutral dynamics are described by a general class of local-stochasti...
We propose a novel and generic calibration technique for four-factor foreign-exchange hybrid local-s...