Dynamic portfolio optimization with transaction costs and state-dependent drift
DOI10.1016/J.EJOR.2014.12.040zbMath1346.91217OpenAlexW2094216724WikidataQ57949117 ScholiaQ57949117MaRDI QIDQ319244
Jan Palczewski, Huamao Wang, Rolf Poulsen, Klaus Reiner Schenk-Hoppé
Publication date: 6 October 2016
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: http://eprints.whiterose.ac.uk/83104/1/PPSHW_2014_12_16-EJOR-Revision.pdf
dynamic programmingnumerical methodstransaction costsMarkov chain approximationstate-dependent drift
Dynamic programming in optimal control and differential games (49L20) Optimal stochastic control (93E20) Portfolio theory (91G10)
Related Items (7)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Option pricing with transaction costs using a Markov chain approximation
- Optimal investment under partial information
- Optimal delta-hedging under transactions costs
- Primal-dual methods for the computation of trading regions under proportional transaction costs
- A unified approach to portfolio optimization with linear transaction costs
- Investment Strategies under Transaction Costs: The Finite Horizon Case
- European Option Pricing with Transaction Costs
- The Role of Learning in Dynamic Portfolio Decisions *
- Option pricing: A simplified approach
- MULTIDIMENSIONAL PORTFOLIO OPTIMIZATION WITH PROPORTIONAL TRANSACTION COSTS
- Stochastic differential equations. An introduction with applications.
This page was built for publication: Dynamic portfolio optimization with transaction costs and state-dependent drift