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Portfolio theory and risk management / Maciej J. Capinski, AGH University of Science and Technology, Kraków, Poland, Ekkehard Kopp, University of Hull, Hull, UK.

By: Contributor(s): Material type: TextTextSeries: Mastering mathematical financePublisher: Cambridge : Cambridge University Press, 2014Description: 1 online resource (x, 160 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781139017398 (ebook)
Other title:
  • Portfolio Theory & Risk Management
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 332.6 23
LOC classification:
  • HG4529.5 .C366 2014
Online resources: Summary: With its emphasis on examples, exercises and calculations, this book suits advanced undergraduates as well as postgraduates and practitioners. It provides a clear treatment of the scope and limitations of mean-variance portfolio theory and introduces popular modern risk measures. Proofs are given in detail, assuming only modest mathematical background, but with attention to clarity and rigour. The discussion of VaR and its more robust generalizations, such as AVaR, brings recent developments in risk measures within range of some undergraduate courses and includes a novel discussion of reducing VaR and AVaR by means of hedging techniques. A moderate pace, careful motivation and more than 70 exercises give students confidence in handling risk assessments in modern finance. Solutions and additional materials for instructors are available at www.cambridge.org/9781107003675.
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Item type Current library Collection Call number Status Date due Barcode
eBooks eBooks Central Library Statistics & Probability Available EB0839

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

With its emphasis on examples, exercises and calculations, this book suits advanced undergraduates as well as postgraduates and practitioners. It provides a clear treatment of the scope and limitations of mean-variance portfolio theory and introduces popular modern risk measures. Proofs are given in detail, assuming only modest mathematical background, but with attention to clarity and rigour. The discussion of VaR and its more robust generalizations, such as AVaR, brings recent developments in risk measures within range of some undergraduate courses and includes a novel discussion of reducing VaR and AVaR by means of hedging techniques. A moderate pace, careful motivation and more than 70 exercises give students confidence in handling risk assessments in modern finance. Solutions and additional materials for instructors are available at www.cambridge.org/9781107003675.

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