Empirical Analysis of Statistical Commodity Price Properties -- Stochastic Volatility, Jump Diffusion, and Lévy Processes -- Real Options Valuation Using Monte Carlo Simulation and the Longstaff-Schwartz Method.

Die Bedeutung von Derivaten für Anleger auf Finanzmärkten nimmt zu. Gleichzeitig wird es immer wichtiger, bei der Entscheidung über Kauf und Verkauf derartiger Titel die Unsicherheit der zukünftigen Preisentwicklung zu berücksichtigen. Die Annahmen, die den bei der Analyse derartiger...

This book is the first comprehensive treatment of structural credit risk models for the simultaneous and consistent pricing of corporate securities. Through the development of a flexible economic framework based on the firm's EBIT, the reader is taken from the economic principles of firm value...

This book analyzes real options valuation for non-constant versus constant interest rates using simulation and historical backtesting. Several real options are investigated and combined with various pricing tools and stochastic term structure models. Interest rates for real options valuation are...

The scientific debate of recent years about option pricing with respect to fractional Brownian motion was focused on the feasibility of the no arbitrage pricing approach. As the unrestricted fractional market setting allows for arbitrage, the conventional reasoning is that fractional Brownian...

The field of financial econometrics has exploded over the last decade. This book represents an integration of theory, methods, and examples using the S-PLUS statistical modeling language and the S+FinMetrics module to facilitate the practice of financial econometrics. This is the first book to...

In many areas of finance and stochastics, significant advances have been made since this field of research was opened by Black, Scholes and Merton in 1973. Advances in Finance and Stochastics contains a collection of original articles by a number of highly distinguished authors on research...

Commodity markets present several challenges for quantitative modeling. These include high volatilities, small sample data sets, and physical, operational complexity. In addition, the set of traded products in commodity markets is more limited than in financial or equity markets, making value...

Mean Reversion in Commodity Prices -- Fundamentals of Derivative Pricing -- Stochastic Volatility Models -- Integration of Jump Components -- Stochastic Equilibrium Level of the Underlying Process -- Deterministic Seasonality Effects -- Conclusion

Real Options in Theory and Practice -- Stochastic Models for the Term Structure of Interest Rates -- Real Options Valuation Tools in Corporate Finance -- Analysis of Various Real Options in Simulations and Backtesting -- Summary and Outlook