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Stephen (Hrsg.) Satchell

Asymmetric Dependence in Finance

Diversification, Correlation and Portfolio Management in Market Downturns

Ebook (PDF Format)

The Guide to Avoiding Downturn Vulnerability by Managing Correlation Dependency Solidly grounded in quantitative finance research, Asymmetric Dependence in Finance is the definitive resource that offers an important analysis of the risks and benefits of asset correlation. The book spans the topics - managing asymmetric dependence using Copulas, to mitigating asymmetric dependence risk in real estate, credit and CTA markets - that comprise a survey of the most current tools available for measuring and managing this crucial issue. With contributions from noted experts in the field, this book explores the risks and benefits of asset correlation… Mehr

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Produktdetails


Weitere Autoren: Alcock, Jamie (Hrsg.)
  • ISBN: 978-1-119-28900-5
  • EAN: 9781119289005
  • Produktnummer: 25800632
  • Verlag: Wiley
  • Sprache: Englisch
  • Erscheinungsjahr: 2018
  • Seitenangabe: 312 S.
  • Plattform: PDF
  • Masse: 7'754 KB

Über den Autor


JAMIE ALCOCK, PHD, is Associate Professor of Finance at the University of Sydney Business School. He has previously held appointments at the University of Cambridge, Downing College Cambridge, and the University of Queensland. Dr. Alcock's research interests include asset pricing, corporate finance, and real estate finance. The quality of his research has been recognized through multiple international research prizes, including most recently the EPRA Best Paper prize at the 2016 European Real Estate Society conference. STEPHEN SATCHELL, PHD, PHD, is a Life Fellow at Trinity College Cambridge, a Professor of Finance at the University of Sydney and was an Honorary Visiting Professor at Birkbeck College, University of London. He is the Emeritus Reader in Financial Econometrics at the University of Cambridge and is an Honorary Member of the Institute of Actuaries. He specializes in finance and econometrics, on which he has written at least 200 papers.

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