Pages that link to "Item:Q556409"
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The following pages link to Genetic learning as an explanation of stylized facts of foreign exchange markets (Q556409):
Displaying 22 items.
- Financial power laws: empirical evidence, models, and mechanisms (Q508271) (← links)
- Evolutionary dynamics in markets with many trader types (Q556400) (← links)
- Equilibria in financial markets with heterogeneous agents: a probabilistic perspective (Q556406) (← links)
- Learning by doing vs. learning from others in a principal-agent model (Q602975) (← links)
- Learning to bid: the design of auctions under uncertainty and adaptation (Q765223) (← links)
- Time variation of higher moments in a financial market with heterogeneous agents: an analytical approach (Q844571) (← links)
- Heterogeneity of agents, transactions costs and the exchange rate (Q953773) (← links)
- Power-law behaviour, heterogeneity, and trend chasing (Q1027425) (← links)
- A learning-to-forecast experiment on the foreign exchange market with a classifier system (Q1391456) (← links)
- Modeling exchange rate behavior with a genetic algorithm (Q1397406) (← links)
- Learning to live in a liquidity trap (Q1657229) (← links)
- Modeling expectations with GENEFER -- an artificial intelligence approach (Q1812122) (← links)
- A mathematical analysis of the long-run behavior of genetic algorithms for social modeling (Q1933789) (← links)
- Exchange rate bifurcation in a stochastic evolutionary finance model (Q1938897) (← links)
- Statistical properties of genetic learning in a model of exchange rate (Q1978598) (← links)
- A parallel model for the foreign exchange market (Q1978673) (← links)
- Network structure andn-dependence in agent-based herding models (Q2271608) (← links)
- Linking agent-based models and stochastic models of financial markets (Q2962164) (← links)
- Forecasting volatility with support vector machine-based GARCH model (Q3065523) (← links)
- LEARNING DYNAMICS AND NONLINEAR MISSPECIFICATION IN AN ARTIFICIAL FINANCIAL MARKET (Q3653389) (← links)
- INDIVIDUAL EXPECTATIONS AND AGGREGATE BEHAVIOR IN LEARNING-TO-FORECAST EXPERIMENTS (Q5325988) (← links)
- A NOISE TRADER MODEL AS A GENERATOR OF APPARENT FINANCIAL POWER LAWS AND LONG MEMORY (Q5439973) (← links)
