An examination of HMM-based investment strategies for asset allocation
DOI10.1002/ASMB.820zbMath1275.91121OpenAlexW2046839167MaRDI QIDQ2862422
Matt Davison, Christina Erlwein, Rogemar S. Mamon
Publication date: 15 November 2013
Published in: Applied Stochastic Models in Business and Industry (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/asmb.820
trading strategyinvestmentSharpe ratioportfolio choiceregime switching modelmultivariate HMM filtering method
Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Markov processes: hypothesis testing (62M02) Portfolio theory (91G10)
Related Items (10)
Cites Work
- Asset allocation under multivariate regime switching
- An application of hidden Markov models to asset allocation problems
- Exact adaptive filters for Markov chains observed in Gaussian noise
- Optimizing the terminal wealth under partial information: the drift process as a continuous time Markov chain
- Adaptive signal processing of asset price dynamics with predictability analysis
- A method for portfolio choice
- Multi-Period Asset Allocation Under Hidden Markovianly Driven Noises
- Common risk factors in the returns on stocks and bonds
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