Advances in Quantitative Asset Management: Studies in Computational Finance, cartea 1
Editat de Christian Dunisen Limba Engleză Hardback – 30 apr 2000
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.
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Specificații
ISBN-13: 9780792377788
ISBN-10: 0792377788
Pagini: 364
Ilustrații: XIII, 342 p.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.69 kg
Ediția:2000
Editura: Springer Us
Colecția Springer
Seria Studies in Computational Finance
Locul publicării:New York, NY, United States
ISBN-10: 0792377788
Pagini: 364
Ilustrații: XIII, 342 p.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.69 kg
Ediția:2000
Editura: Springer Us
Colecția Springer
Seria Studies in Computational Finance
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
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.