The growth experimented in recent years in both the variety and volume of structured products implies that banks and other financial institutions have become increasingly exposed to model risk. In this article we focus on the model risk associated with the local volatility (LV) model and with the Variance Gamma (VG) model. The results show that the LV model performs better than the VG model in terms of its ability to match the market prices of European options. Nevertheless, both models are subject to significant pricing errors when compared with the stochastic volatility framework
Option pricing models are calibrated to market data of plain vanillas by minimization of an error fu...
In this paper we recover the Black-Scholes and local volatility pricing engines in the presence of a...
The paper extends the option pricing model of Merlon (1973) with lime-varying volatility of the unde...
The growth experimented in recent years in both the variety and volume of structured products implie...
One purpose of exotic derivative pricing models is to enable financial institutions to quantify and ...
Market participants are faced with the problem of finding a good trade-off between the model adequac...
Market participants are faced with the problem of finding a good trade-off between the model adequac...
A general purpose of mathematical models is to accurately mimic some observed phenomena in the real ...
In this thesis I will present my PhD research work, focusing mainly on financial modelling of asset’...
In this paper we examine and compare the performance of a variety of continuous- time volatility mod...
This thesis investigates a methodology for quantification of model risk in option pricing. A set of ...
This study presents an empirical analysis on the impact of stochastic volatility on options pricing ...
Volatility surface is a major factor in the valuation of several instruments. The models behind it a...
Following a trend of sustained and accelerated growth, the VIX futures and options market has become...
Financial Markets is an interesting wide range area of research in Financial Engineering. In this th...
Option pricing models are calibrated to market data of plain vanillas by minimization of an error fu...
In this paper we recover the Black-Scholes and local volatility pricing engines in the presence of a...
The paper extends the option pricing model of Merlon (1973) with lime-varying volatility of the unde...
The growth experimented in recent years in both the variety and volume of structured products implie...
One purpose of exotic derivative pricing models is to enable financial institutions to quantify and ...
Market participants are faced with the problem of finding a good trade-off between the model adequac...
Market participants are faced with the problem of finding a good trade-off between the model adequac...
A general purpose of mathematical models is to accurately mimic some observed phenomena in the real ...
In this thesis I will present my PhD research work, focusing mainly on financial modelling of asset’...
In this paper we examine and compare the performance of a variety of continuous- time volatility mod...
This thesis investigates a methodology for quantification of model risk in option pricing. A set of ...
This study presents an empirical analysis on the impact of stochastic volatility on options pricing ...
Volatility surface is a major factor in the valuation of several instruments. The models behind it a...
Following a trend of sustained and accelerated growth, the VIX futures and options market has become...
Financial Markets is an interesting wide range area of research in Financial Engineering. In this th...
Option pricing models are calibrated to market data of plain vanillas by minimization of an error fu...
In this paper we recover the Black-Scholes and local volatility pricing engines in the presence of a...
The paper extends the option pricing model of Merlon (1973) with lime-varying volatility of the unde...