This thesis empirically analyses implied risk neutral probability distributions of SMI index options. The contribution of this thesis is its data base (SMI index options), the long observation period (1999 - 2008) and its attempt to use the framework of option implied risk neutral probability distributions in the context of trading strategies. The influence of important market variables (such as the risk premium and the term structure of Swiss interest rates) on the estimated RNDs summary statistics is analysed in a regression framework accounting for heteroscedasticity and autocorrelation of the variables under consideration. It turns out that most of the analysed domestic market variables do not have a significant influence on the calculated implied RND's summary statistics and no significant international spillovers are observable. In addition, option implied moments, in particular the volatility of the implied RND, seem to be poor predictors for future moments of the SMI return distribution. Trading strategies based on option implied information are implemented. After accounting for transaction costs, some of these strategies are not only able to outperform a direct investment in the underlying, but systematically outperformed comparable trading strategies based on spot prices.

A relationship exists between aggregate risk-neutral and subjective probability distributions and risk aversion functions. We empirically derive risk aversion functions implied by option prices and realized returns on the Samp;P500 index simultaneously. These risk aversion functions dramatically change shapes around the 1987 crash: Precrash, they are positive and decreasing in wealth and largely consistent with standard assumptions made in economic theory. Postcrash, they are partially negative and partially increasing and irreconcilable with those assumptions. Mispricing in the option market is the most likely cause. Simulated trading strategies exploiting this mispricing shows excess returns even after accounting for the possibility of further crashes, transaction costs, and hedges against the downside risk.

Sheldon Natenberg is one of the most sought after speakers on the topic of option trading and volatility strategies. This book takes Sheldon’s non-technical, carefully crafted presentation style and applies it to a book—one that you’ll study and carry around for years as your personal consultant. Learn about the most vital concepts that define options trading, concepts you’ll need to analyze and trade with confidence. In this volume, Sheldon explains the difference between historical volatility, future volatility, and implied volatility. He provides real inspiration and wisdom gleaned from years of trading experience. Th is book captures the energy of the spoken message direct from the source. Learn about implied volatility and how it is calculated Gain insight into the assumptions driving an options pricing model Master the techniques of comparing price to value Realize the important part that probability plays in estimating option prices

This book provides different financial models based on options to predict underlying asset price and design the risk hedging strategies. Authors of the book have made theoretical innovation to these models to enable the models to be applicable to real market. The book also introduces risk management and hedging strategies based on different criterions. These strategies provide practical guide for real option trading. This book studies the classical stochastic volatility and deterministic volatility models. For the former, the classical Heston model is integrated with volatility term structure. The correlation of Heston model is considered to be variable. For the latter, the local volatility model is improved from experience of financial practice. The improved local volatility surface is then used for price forecasting. VaR and CVaR are employed as standard criterions for risk management. The options trading strategies are also designed combining different types of options and they have been proven to be profitable in real market. This book is a combination of theory and practice. Users will find the applications of these financial models in real market to be effective and efficient.