Fixed-Income Portfolio Analytics

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Details

The book offers a detailed, robust, and consistent framework for the joint consideration of portfolio exposure, risk, and performance across a wide range of underlying fixed-income instruments and risk factors. Through extensive use of practical examples, the author also highlights the necessary technical tools and the common pitfalls that arise when working in this area. Finally, the book discusses tools for testing the reasonableness of the key analytics to help build and maintain confidence for using these techniques in day-to-day decision making. This will be of keen interest to risk managers, analysts and asset managers responsible for fixed-income portfolios.


Provides a common and consistent framework for performance and risk analytics Full of practical examples - over 160 figures and almost 100 tables - to support complex ideas Shows not only how to measure and attribute performance and risk, but also how to test their consistency Includes supplementary material: sn.pub/extras

Inhalt
What Is Portfolio Analytics?- From Risk Factors to Returns: Computing Exposures.- A Useful Approximation.- Extending Our Framework.- The Yield Curve: Fitting Yield Curves.- Modelling Yield Curves.- Performance: Basic Performance Attribution.- Advanced Performance Attribution.- Traditional Performance Attribution.- Risk: Introducing Risk.- Portfolio Risk.- Exploring Uncertainty in Risk Measurement.- Risk and Performance: Combining Risk and Return.- The Ex-Post World.- Appendix: Some Mathematical Background.- A Few Thoughts on Optimization.- Index.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319126661
    • Sprache Englisch
    • Größe H241mm x B160mm x T37mm
    • Jahr 2015
    • EAN 9783319126661
    • Format Fester Einband
    • ISBN 3319126660
    • Veröffentlichung 12.03.2015
    • Titel Fixed-Income Portfolio Analytics
    • Autor David Jamieson Bolder
    • Untertitel A Practical Guide to Implementing, Monitoring and Understanding Fixed-Income Portfolios
    • Gewicht 1016g
    • Herausgeber Springer
    • Anzahl Seiten 572
    • Lesemotiv Verstehen
    • Genre Betriebswirtschaft

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