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ISCI
2006
86views more  ISCI 2006»
14 years 9 months ago
Adaptive stock trading with dynamic asset allocation using reinforcement learning
Jangmin O, Jongwoo Lee, Jae Won Lee, Byoung-Tak Zh...
ECML
2004
Springer
15 years 2 months ago
Dynamic Asset Allocation Exploiting Predictors in Reinforcement Learning Framework
Given the pattern-based multi-predictors of the stock price, we study a method of dynamic asset allocation to maximize the trading performance. To optimize the proportion of asset ...
Jangmin O, Jae Won Lee, Jongwoo Lee, Byoung-Tak Zh...
GECCO
2009
Springer
121views Optimization» more  GECCO 2009»
15 years 2 months ago
Using memetic algorithms to improve portfolio performance in static and dynamic trading scenarios
The Portfolio Optimization problem consists of the selection of a group of assets to a long-term fund in order to minimize the risk and maximize the return of the investment. This...
Claus de Castro Aranha, Hitoshi Iba
IDEAL
2004
Springer
15 years 2 months ago
Stock Trading by Modelling Price Trend with Dynamic Bayesian Networks
We study a stock trading method based on dynamic bayesian networks to model the dynamics of the trend of stock prices. We design a three level hierarchical hidden Markov model (HHM...
Jangmin O, Jae Won Lee, Sung-Bae Park, Byoung-Tak ...
IWCLS
1999
Springer
15 years 1 months ago
An Adaptive Agent Based Economic Model
In this paper we describe a simple model of adaptive agents of different types, represented by Learning Classifier Systems (LCS), which make investment decisions about a risk fre...
Sonia Schulenburg, Peter Ross