Angewandte Finanzdatenanalyse

Financial Data Analysis: Markets are reacting faster than ever. Extreme scenarios are becoming increasingly common. How can the scenarios and risks of crises be made tangible? This book presents methods for analyzing extreme scenarios in areas such as stock markets. The analysis is conducted both graphically and using statistical and financial mathematical methods. It delves into the analysis of dependency structures in detail. Based on multivariate models, distributions, and copulas, the tails of individual datasets and portfolios are examined. The results are then validated through statistical visualizations. The first part of the book discusses the potential structure of visualization software. The second part introduces the financial mathematical methods. The book aims to answer the following questions: - How can dependency structures be analyzed? - How do I analyze the dependence in the tails? - How can I graphically validate the model? - What should the structure of software be that performs the graphical visualizations?.