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...

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...

We construct a global implied volatility surface by combining information from the index options of twenty countries and regions. The convexity of the global surface positively predicts equity premia around the world, in- and out-of-sample, at horizons from one to twelve months. Semi-annually,...

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 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....

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...

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...

The volume and complexity of financial derivatives traded over the counter (OTC) showed in the last two decades a increasing trend. In this context, the interest rate derivatives have a great growth because they are widely used in speculation, arbitrage and hedging strategies. But when the risk...

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,...