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Dynamic Asset Allocation - Identifying Regime Shifts in Financial Time Series to Build Robust Portfolios
Peter Nystrup
Department of Applied Mathematics and Computer Science
Dynamical Systems
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Ph.D. thesis
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Social Sciences
Change
66%
Markets
66%
Investors
66%
Time-Varying Parameter
66%
Control
33%
Time
33%
Hidden Markov Models
33%
Probability
16%
Optimization
16%
Transition
16%
Theses
16%
Persistence
16%
Statistical Inference
16%
Problem
16%
Loss
16%
Parameter
16%
Understanding
16%
Investment
16%
Strategy
16%
Resource Allocation
16%
Universe
16%
Economics, Econometrics and Finance
Portfolio Selection
100%
Market
66%
Information
33%
Volatility
33%
Regime Switching
33%
Time Series
16%
Capital Market Returns
16%
Allocation
16%
Order
16%
Investment
16%
Loss
16%
Return
16%