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Developments in Mean-Variance Efficient Portfolio Selection - Softcover

 
9781349471768: Developments in Mean-Variance Efficient Portfolio Selection

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Críticas

'Prof. Dr. Megha Agarwal's book, Developments in Mean-Variance Efficient Portfolio Selection, reviews the modern portfolio theory and discusses how to apply it in practice given recent research findings. Indian stock markets are used as an example throughout the book and I am sure that Prof. Agarwal's book is an excellent source of knowledge for both academia and practitioners interested in the Indian stock markets.'

(Mika Vaihekoski, Professor of Finance, University of Turku, Finland)

'The mean-variance model formulated and applied in this research work provides a meaningful contribution to the ever evolving subject matter of optimal portfolio construction based upon the trade-off between risk and return comfort levels for a given investor. The research work is relevant to both the professional portfolio manager providing investment counsel to multiple clients, and to the individual investor who wishes to make informed decisions on the construction of a personal portfolio. The work is well researched and presented in a clear and convincing manner.'

(Dr Hamsa Thota, Board Member at International Network for Small and Medium Enterprises (INSME))

Reseña del editor

This book discusses new determinants for optimal portfolio selection. It reviews the existing modelling framework and creates mean-variance efficient portfolios from the securities companies on the National Stock Exchange. Comparisons enable researchers to rank them in terms of their effectiveness in the present day Indian securities market.

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  • VerlagPalgrave Macmillan
  • Erscheinungsdatum2015
  • ISBN 10 1349471763
  • ISBN 13 9781349471768
  • EinbandTapa blanda
  • Auflage1
  • Anzahl der Seiten264

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Weitere beliebte Ausgaben desselben Titels

9781137359919: Developments in Mean-Variance Efficient Portfolio Selection

Vorgestellte Ausgabe

ISBN 10:  1137359919 ISBN 13:  9781137359919
Verlag: AIAA, 2014
Hardcover