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Simulación realista de los mercados financieros con sistemas multi-agentes

Authors: Llacay Pintat, Bàrbara; Peffer, Gilbert;

Simulación realista de los mercados financieros con sistemas multi-agentes

Abstract

Els mercats financers són un exemple paradigmàtic de sistemes complexos adaptatius. Els paradigmes tradicionals de modelització no permeten reflexar aquesta realitat i hem de recórrer a noves eines. Presentem la simulació basada en sistemes multi-agents com el paradigma idoni per a analitzar els mercats financers en tota la seva complexitat. És un mètode que permet estudiar el comportament global del mercat a partir de la seva microestructura, i ja ha suggerit explicacions per a algunes de les regularitats estadístiques observades en una gran varietat de mercats. Exposem, a més amés, els primers passos en la construcció d'una simulació realista del mercat de bons.

Financial markets are a paradigmatic case of complex adaptive systems. However, their complexity cannot be captured by traditional modelisation paradigms and we thus need to turn to new modelling tools. We present agent-based simulation as the suitable paradigm to analyse financial markets: this method allows to study the market macro behaviour on the basis of its microstructure, and some advances have already been done in the analysis and explanation of the stylised facts observed in a range of markets. We moreover describe the first steps we have undertaken to build a realistic simulation of a bond market.

Country
Spain
Related Organizations
Keywords

Caos (Teoria de sistemes), Bons, Anàlisi de sistemes, Mercat financer, Mètodes de simulació

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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