Foundations of complexity economics
WB Arthur - Nature Reviews Physics, 2021 - nature.com
Conventional, neoclassical economics assumes perfectly rational agents (firms, consumers,
investors) who face well-defined problems and arrive at optimal behaviour consistent with …
investors) who face well-defined problems and arrive at optimal behaviour consistent with …
A survey of systemic risk analytics
D Bisias, M Flood, AW Lo… - Annu. Rev. Financ. Econ …, 2012 - annualreviews.org
We provide a survey of 31 quantitative measures of systemic risk in the economics and
finance literature, chosen to span key themes and issues in systemic risk measurement and …
finance literature, chosen to span key themes and issues in systemic risk measurement and …
Italian tourism intermediaries: A social network analysis exploration
The purpose of this paper is to analyse the application of Social Network Analysis (SNA) to
the Italian tourism system. The research question is: do relationships among tourist …
the Italian tourism system. The research question is: do relationships among tourist …
[PDF][PDF] Agent-based modeling in economics and finance: Past, present, and future
Agent-based modeling (ABM) is a novel computational methodology for representing the
behavior of individuals in order to study social phenomena. Its use is rapidly growing in …
behavior of individuals in order to study social phenomena. Its use is rapidly growing in …
Everything you need to know about agent-based modelling and simulation
CM Macal - Journal of Simulation, 2016 - Taylor & Francis
This paper addresses the background and current state of the field of agent-based
modelling and simulation (ABMS). It revisits the issue of ABMS represents as a new …
modelling and simulation (ABMS). It revisits the issue of ABMS represents as a new …
Complexity theory and financial regulation
Traditional economic theory could not explain, much less predict, the near collapse of the
financial system and its long-lasting effects on the global economy. Since the 2008 crisis …
financial system and its long-lasting effects on the global economy. Since the 2008 crisis …
Agent-based model calibration using machine learning surrogates
Efficiently calibrating agent-based models (ABMs) to real data is an open challenge. This
paper explicitly tackles parameter space exploration and calibration of ABMs by combining …
paper explicitly tackles parameter space exploration and calibration of ABMs by combining …
The complexities of agent-based modeling output analysis
The proliferation of agent-based models (ABMs) in recent decades has motivated model
practitioners to improve the transparency, replicability, and trust in results derived from …
practitioners to improve the transparency, replicability, and trust in results derived from …
Macroeconomic policy in DSGE and agent-based models redux: New developments and challenges ahead
G Fagiolo, A Roventini - Available at SSRN 2763735, 2016 - papers.ssrn.com
Abstract The Great Recession seems to be a natural experiment for economic analysis, in
that it has shown the inadequacy of the predominant theoretical framework-the New …
that it has shown the inadequacy of the predominant theoretical framework-the New …