AbstractData for calibration and out-of-sample error testing of option pricing models are provided alongside data obtained from optimization procedures in "On calibration of stochastic and fractional stochastic volatility models" [1]. Firstly we describe testing data sets, further calibration data obtained from combined optimizers is visually depicted – interactive 3d bar plots are provided. The data is suitable for a further comparison of other optimization routines and also to benchmark different pricing models
For the pricing of interest rate derivatives various stochastic interest rate models are used. The s...
Abstract In spite of the popularity of model calibration in …nance, empirical researchers have put m...
Hlavním cílem této práce je studovat a implementovat vybrané modely stochastické volatility a nově n...
AbstractData for calibration and out-of-sample error testing of option pricing models are provided a...
Data for calibration and out-of-sample error testing of option pricing models are provided alongside...
This paper compares the performance of three methods for pricing vanilla options in models with know...
Many numerical aspects are involved in parameter estimation of stochastic volatility models. We inve...
In this paper, we perform robustness and sensitivity analysis of several continuous-time stochastic ...
In this thesis, stochastic volatility models with Levy processes are treated in parameter calibrati...
This paper compares the performance of three methods for pricing vanilla options in models with know...
In this paper we consider an explicitly solvable multiscale stochastic volatility model that genera...
Studentská vědecká konference je pořádána s podporou prostředků na specifický vysokoškolský výzkum S...
This paper compares the performance of three methods for pricing vanilla options in models with know...
Sparked by Alòs, León und Vives (2007); Fukasawa (2011, 2017); Gatheral, Jaisson und Rosenbaum (2018...
A new method for calibrating the Black-Scholes asset price dynamics model is proposed. The data use...
For the pricing of interest rate derivatives various stochastic interest rate models are used. The s...
Abstract In spite of the popularity of model calibration in …nance, empirical researchers have put m...
Hlavním cílem této práce je studovat a implementovat vybrané modely stochastické volatility a nově n...
AbstractData for calibration and out-of-sample error testing of option pricing models are provided a...
Data for calibration and out-of-sample error testing of option pricing models are provided alongside...
This paper compares the performance of three methods for pricing vanilla options in models with know...
Many numerical aspects are involved in parameter estimation of stochastic volatility models. We inve...
In this paper, we perform robustness and sensitivity analysis of several continuous-time stochastic ...
In this thesis, stochastic volatility models with Levy processes are treated in parameter calibrati...
This paper compares the performance of three methods for pricing vanilla options in models with know...
In this paper we consider an explicitly solvable multiscale stochastic volatility model that genera...
Studentská vědecká konference je pořádána s podporou prostředků na specifický vysokoškolský výzkum S...
This paper compares the performance of three methods for pricing vanilla options in models with know...
Sparked by Alòs, León und Vives (2007); Fukasawa (2011, 2017); Gatheral, Jaisson und Rosenbaum (2018...
A new method for calibrating the Black-Scholes asset price dynamics model is proposed. The data use...
For the pricing of interest rate derivatives various stochastic interest rate models are used. The s...
Abstract In spite of the popularity of model calibration in …nance, empirical researchers have put m...
Hlavním cílem této práce je studovat a implementovat vybrané modely stochastické volatility a nově n...