Articles liés à Quantitative Portfolio Management
- ÉditeurSpringer
- Date d'édition2020
- ISBN 10 3030377393
- ISBN 13 9783030377397
- ReliureRelié
- Langueanglais
- Nombre de pages220
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Quantitative Portfolio Management (Springer Texts in Business and Economics)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Etat : New. In. N° de réf. du vendeur ria9783030377397_new
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Quantitative Portfolio Management
Vendeur : Basi6 International, Irving, TX, Etats-Unis
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Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. N° de réf. du vendeur ABEJUNE24-13298
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Quantitative Portfolio Management
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Etat : New. N° de réf. du vendeur 26376581185
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Quantitative Portfolio Management
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Etat : New. N° de réf. du vendeur 369464222
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Quantitative Portfolio Management
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Etat : New. N° de réf. du vendeur 18376581195
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Quantitative Portfolio Management (Springer Texts in Business and Economics)
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Etat : New. N° de réf. du vendeur ABLIING23Mar3113020015521
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Quantitative Portfolio Management (Springer Texts in Business and Economics)
Vendeur : California Books, Miami, FL, Etats-Unis
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Etat : New. N° de réf. du vendeur I-9783030377397
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Quantitative Portfolio Management
ISBN 10 : 3030377393
ISBN 13 : 9783030377397
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This self-contained book presents the main techniques of quantitative portfolio management and associated statistical methods in a very didactic and structured way, in a minimum number of pages. The concepts of investment portfolios, self-financing portfolios and absence of arbitrage opportunities are extensively used and enable the translation of all the mathematical concepts in an easily interpretable way.All the results, tested with Python programs, are demonstrated rigorously, often using geometric approaches for optimization problems and intrinsic approaches for statistical methods, leading to unusually short and elegant proofs. The statistical methods concern both parametric and non-parametric estimators and, to estimate the factors of a model, principal component analysis is explained. The presented Python code and web scraping techniques also make it possible to test the presented concepts on market data.This book will be useful for teaching Masters students and for professionals in asset management, and will be of interest to academics who want to explore a field in which they are not specialists. The ideal pre-requisites consist of undergraduate probability and statistics and a familiarity with linear algebra and matrix manipulation. Those who want to run the code will have to install Python on their pc, or alternatively can use Google Colab on the cloud. Professionals will need to have a quantitative background, being either portfolio managers or risk managers, or potentially quants wanting to double check their understanding of the subject. 220 pp. Englisch. N° de réf. du vendeur 9783030377397
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Quantitative Portfolio Management : with Applications in Python
Edité par
Springer International Publishing, Springer Nature Switzerland, 2020
ISBN 10 : 3030377393
ISBN 13 : 9783030377397
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This self-contained book presents the main techniques of quantitative portfolio management and associated statistical methods in a very didactic and structured way, in a minimum number of pages. The concepts of investment portfolios, self-financing portfolios and absence of arbitrage opportunities are extensively used and enable the translation of all the mathematical concepts in an easily interpretable way.All the results, tested with Python programs, are demonstrated rigorously, often using geometric approaches for optimization problems and intrinsic approaches for statistical methods, leading to unusually short and elegant proofs. The statistical methods concern both parametric and non-parametric estimators and, to estimate the factors of a model, principal component analysis is explained. The presented Python code and web scraping techniques also make it possible to test the presented concepts on market data.This book will be useful for teaching Masters students and for professionals in asset management, and will be of interest to academics who want to explore a field in which they are not specialists. The ideal pre-requisites consist of undergraduate probability and statistics and a familiarity with linear algebra and matrix manipulation. Those who want to run the code will have to install Python on their pc, or alternatively can use Google Colab on the cloud. Professionals will need to have a quantitative background, being either portfolio managers or risk managers, or potentially quants wanting to double check their understanding of the subject. N° de réf. du vendeur 9783030377397
Quantité disponible : 1 disponible(s)
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Quantitative Portfolio Management
Edité par
Springer International Publishing, 2020
ISBN 10 : 3030377393
ISBN 13 : 9783030377397
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes exercises based on exam questionsIllustrates and expresses the main results in plain language understandable by the pure financierDetails efficient web data extraction techniquesEnables the reader with a good backgr. N° de réf. du vendeur 448680736
Quantité disponible : Plus de 20 disponibles