Distributed investment decisions and forecasting errors: an analysis based on a multi-agent simulation model

DOI10.1016/J.EJOR.2016.08.042zbMath1380.91062OpenAlexW2511649566MaRDI QIDQ1698910

Doris A. Behrens, Alexandra Rausch, Stephan Leitner

Publication date: 16 February 2018

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2016.08.042

zbMATH Keywords

coordinationmulti-agent simulationdistributed decision makingoverconfidenceforecasting errors

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Inference from stochastic processes and prediction (62M20) Decision theory (91B06) Group preferences (91B10) Heterogeneous agent models (91B69)

Related Items (2)

Interactions between the individual and the group level in organizations: the case of learning and group turnover ⋮ Democratic versus elite governance for project selection decisions in executive committees

Cites Work

• Unnamed Item
• On the fault (in)tolerance of coordination mechanisms for distributed investment decisions
• Editorial: Behavioural operational research: returning to the roots of the OR profession
• The what, the why and the how of behavioural operational research -- an invitation to potential sceptics
• On the role of psychological heuristics in operational research; and a demonstration in military stability operations
• Agent-based modeling on technological innovation as an evolutionary process
• Simultaneous over- and underconfidence: Evidence from experimental asset markets
• On the importance of behavioral operational research: the case of understanding and communicating about dynamic systems
• On the efficiency of hurdle rate-based coordination mechanisms
• The (Beneficial) Role of Informational Imperfections in Enhancing Organisational Performance
• Optimal Auction Design
• Cognitive Processes and the Assessment of Subjective Probability Distributions
• Self-Confidence and Personal Motivation

This page was built for publication: Distributed investment decisions and forecasting errors: an analysis based on a multi-agent simulation model