Artikel

Learning to forecast, risk aversion, and microstructural aspects of financial stability

This paper presents a simulative model of a financial market, based on a fully operating order book with limit and market orders. The heterogeneity of traders is characterized not only with regards to their trading rules, but also by introducing a behavioral individual risk aversion and a learning ability influencing the process of expectations formation. Results show that individual learning may play a role in stabilizing the aggregate market dynamics, whereas the risk aversion has, counterintuitively, the opposite effect.

Language
Englisch

Bibliographic citation
Journal: Economics: The Open-Access, Open-Assessment E-Journal ; ISSN: 1864-6042 ; Volume: 12 ; Year: 2018 ; Issue: 2018-20 ; Pages: 1-21 ; Kiel: Kiel Institute for the World Economy (IfW)

Classification
Wirtschaft
Financial Markets and the Macroeconomy
Money and Interest Rates: Forecasting and Simulation: Models and Applications
Computational Techniques; Simulation Modeling
Subject
order book
learning to forecast
risk aversion
agent-based models

Event
Geistige Schöpfung
(who)
Biondo, Alessio Emanuele
Event
Veröffentlichung
(who)
Kiel Institute for the World Economy (IfW)
(where)
Kiel
(when)
2018

DOI
doi:10.5018/economics-ejournal.ja.2018-20
Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Biondo, Alessio Emanuele
  • Kiel Institute for the World Economy (IfW)

Time of origin

  • 2018

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