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Bernhard Pfaff

    Stabilitätsüberprüfung von Geldnachfragefunktionen ausgewählter EU-Staaten
    Modellierung von Einzel- und Portfoliorisiken
    Modelling financial risks
    Analysis of Integrated and Cointegrated Time Series with R
    • 2010

      The latest financial crisis has once again shown investors the importance of meticulous risk management. But the traditional methods of risk measurement have weaknesses, which often leads to misestimation of individual and portfolio risks. In this book, Bernhard Pfaff demonstrates the inadequacies of the conventional tools. In particular, the assumption of independent identical normally distributed returns is ill-suited to the realities of the financial markets. Based on this premise, Pfaff offers alternatives: these include complex methodologies, such as risk modelling using Copulas, as well as practice-oriented means of risk approximation. The aim throughout is to modify distribution assessments in such a way to render Value-at-Risk and Expected Shortfall more useful in practical risk management.

      Modelling financial risks
    • 2008

      Focusing on integrated and co-integrated time series, this book provides a comprehensive introduction to applied econometrics. It guides readers in conducting unit root tests and co-integration methods using R, a free statistical programming environment. Key topics include seasonal unit roots, fractional integration, structural breaks, and multivariate time series models. With numerous programming examples based on both artificial and real data, it serves as an excellent resource for computer lab classes, enhancing practical understanding of the methodologies.

      Analysis of Integrated and Cointegrated Time Series with R