We propose a model to quantify the effect of parameter uncertainty on the option price in the Heston model. More precisely, we present a Hamilton–Jacobi–Bellman framework which allows us to evaluate best and worst case scenarios under an uncertain market price of volatility risk. For the numerical approximation the Hamilton–Jacobi–Bellman equation is reformulated to enable the solution with a finite element method. A case study with butterfly options exhibits how the dependence of Delta on the magnitude of the uncertainty is nonlinear and highly varied across the parameter regime
In this work we propose an approximate numerical method for an option pricing by the Heston model. F...
Numerous studies have presented evidence that certain financial assets may exhibit stochastic volati...
We are concerned with the valuation of European options in Heston’s stochas-tic volatility model wit...
We propose a model to quantify the effect of parameter uncertainty on the option price in the Heston...
In this chapter we investigate the derivation of the European option price in the Cox-Ross-Rubinstei...
The Heston model is a partial differential equation which is used to price options and is a further ...
Financial markets are complex processes where investors interact to set prices. We present a framewo...
Valuation of derivatives is one of the most discussed topics of scientific treatises. In this paper ...
We are concerned with the valuation of European options in the Heston stochastic volatility model wi...
Volatility is a widely recognized measure of market risk. As volatility is not observed it has to be...
Volatility is a widely recognized measure of market risk. As volatility is not observed it has to be...
We derive a closed-form solution for the price of a European call option in the presence of ambiguit...
In this thesis, the impact of unknown parameter estimation in the case of the volatility parameter i...
Treball fi de màster de: Master's Degree in Economics and FinanceDirectors: Filippo Ippolito ; Eulàl...
Stochastic volatility models for option pricing are suitable to explain many empirical stylized fact...
In this work we propose an approximate numerical method for an option pricing by the Heston model. F...
Numerous studies have presented evidence that certain financial assets may exhibit stochastic volati...
We are concerned with the valuation of European options in Heston’s stochas-tic volatility model wit...
We propose a model to quantify the effect of parameter uncertainty on the option price in the Heston...
In this chapter we investigate the derivation of the European option price in the Cox-Ross-Rubinstei...
The Heston model is a partial differential equation which is used to price options and is a further ...
Financial markets are complex processes where investors interact to set prices. We present a framewo...
Valuation of derivatives is one of the most discussed topics of scientific treatises. In this paper ...
We are concerned with the valuation of European options in the Heston stochastic volatility model wi...
Volatility is a widely recognized measure of market risk. As volatility is not observed it has to be...
Volatility is a widely recognized measure of market risk. As volatility is not observed it has to be...
We derive a closed-form solution for the price of a European call option in the presence of ambiguit...
In this thesis, the impact of unknown parameter estimation in the case of the volatility parameter i...
Treball fi de màster de: Master's Degree in Economics and FinanceDirectors: Filippo Ippolito ; Eulàl...
Stochastic volatility models for option pricing are suitable to explain many empirical stylized fact...
In this work we propose an approximate numerical method for an option pricing by the Heston model. F...
Numerous studies have presented evidence that certain financial assets may exhibit stochastic volati...
We are concerned with the valuation of European options in Heston’s stochas-tic volatility model wit...