A company can go bankrupt if the value of its assets drops below the debt level. This event can happen at any point in time. This is however not taken into account in the plain vanilla option framework of the Merton model. Theoretically, the barrier version of the Merton model shall therefore be...

Based on the fact that realized measures of volatility are affected by measurement errors, we introduce a new family of discrete-time stochastic volatility models having two measurement equations relating both observed returns and realized measures to the latent conditional variance. A...

In this article, the Universal Approximation Theorem of Artificial Neural Networks (ANNs) is applied to the SABR stochastic volatility model in order to construct highly efficient representations. Initially, the SABR approximation of Hagan et al. [2002] is considered, then a more accurate...

We study the effect of an asset's volatility on the expected returns of European options written on the asset. A simple stochastic discount factor model suggests that the effect differs depending on whether variations in volatility are due to variations in systematic or idiosyncratic volatility....

Regulations impose idiosyncratic capital and funding costs for holding derivatives. Capital requirements are costly because derivatives desks are risky businesses; funding is costly in part because regulations increase the minimum funding tenor. Idiosyncratic costs mean no single measure makes...

This thesis investigates the predictive power of the Skewness and Kurtosis Adjusted Black Scholes model of Corrado and Su (1996) (CS) model in pricing three Australian option contracts (ANZ, BHP and CBA) maturing in March, June, September and December, during the 2007/2008 financial crisis...

We study the information content of foreign exchange (FX) option volume using a unique dataset on over-the-counter FX options with disclosed counterparty identities and contract characteristics. Our study shows that FX option volume can predict future exchange rate returns, especially when the...

Investment behaviour, techniques and choices have evolved in the options markets since the launch of options trading in 1973. Today, we are entering the field of Big Data and the explosion of information, which has become the main feature of science, impacts investors' decisions and their...

While empirical literature has documented a negative relation between default risk and stock returns, the theory suggests that default risk should be positively priced. We provide an explanation for this "default anomaly", by calculating monthly probabilities of default (PDs) for a large sample...

We study the theoretical and empirical properties of a simple measure of market illiquidity, namely the realized Amihud, which is defined as the ratio between the realized volatility and trading volume and which refines the popular price impact measure proposed by Amihud (2002). In our model,...