Fr. 188.00

Advances in Quantitative Asset Management

Anglais · Livre de poche

Expédition généralement dans un délai de 1 à 2 semaines (titre imprimé sur commande)

Description

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Advances in Quantitative Asset Management contains selected articles which, for the most part, were presented at the `Forecasting Financial Markets' Conference. `Forecasting Financial Markets' is an international conference on quantitative finance which is held in London in May every year. Since its inception in 1994, the conference has grown in scope and stature to become a key international meeting point for those interested in quantitative finance, with the participation of prestigious academic and research institutions from all over the world, including major central banks and quantitative fund managers.
The editor has chosen to concentrate on advances in quantitative asset management and, accordingly, the papers in this book are organized around two major themes: advances in asset allocation and portfolio management, and modelling risk, return and correlation.

Table des matières

1: Advances In Asset Allocation And Portfolio Management.- 1. Introducing Higher Moments in the CAPM: Some Basic Ideas.- 2. Fat Tails and the Capital Asset Pricing Model.- 3. The Efficiency of Fund Management: An Applied Stochastic Frontier Model.- 4. Investment Styles in the European Equity Markets.- 5. Advanced Adaptive Architectures for Asset Allocation.- 6. High Frequency Data and Optimal Hedge Ratios.- 2: Modelling Risk, Return And Correlation.- 7. Large Scale Conditional Correlation Estimation.- 8. The Pitfalls in Fitting GARCH(1,1) Processes.- 9. Factor GARCH, Regime-Switching and the Term Structure of Interest Rates.- 10. Hedging a Portfolio of Corporate Bonds Using PCA/GARCH Yield Curve Analysis.- 11. Analysis of Time Varying Exchange Rate Risk Premia.- 12. Volatility Modelling in the Forex Market: An Empirical Evaluation.- 13. Five Classification Algorithms to Predict High Performance Stocks.- 14. Forecasting Financial Time Series with Generalized Long Memory Processes.

A propos de l'auteur

CHRISTIAN L. DUNIS is Girobank Professor of Banking and Finance at Liverpool Business School, and Director of its Centre for International Banking, Economics and Finance (CIBEF). He is also a consultant to asset management firms, a Visiting Professor of International Finance at Venice International University and an Official Reviewer attached to the European Commission for the evaluation of applications to finance of emerging software technologies. He is an Editor of the European Journal of Finance, and has widely published in the field of financial markets analysis and forecasting. He has organised the Forecasting Financial Markets Conference since 1994.

Détails du produit

Collaboration Christia Dunis (Editeur), Christian Dunis (Editeur)
Edition Springer, Berlin
 
Langues Anglais
Format d'édition Livre de poche
Sortie 13.03.2013
 
EAN 9781461369745
ISBN 978-1-4613-6974-5
Pages 342
Dimensions 155 mm x 19 mm x 235 mm
Poids 546 g
Illustrations XIII, 342 p.
Thèmes Studies in Computational Finance
Studies in Computational Finance
Catégorie Sciences sociales, droit, économie > Economie > Economie publique

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