Book Reviews

2014 ◽  
Vol 52 (3) ◽  
pp. 855-858 ◽  

Sixteen papers, based on the conference on “Econophysics of Agent-Based Models” held at the Saha Institute of Nuclear Physics in November 2012, explore agent-based modeling in the field of econophysics from the perspectives of physicists, economists, mathematicians, and financial engineers. Papers discuss agent-based modeling of zapping behavior of viewers, television commercial allocation, and advertisement markets; agent-based modeling of the housing asset bubble—a simple utility function-based investigation; Urn model-based adaptive multi-arm clinical trials—a stochastic approximation approach; logistic modeling of a religious sect cult and financial features; characterizing financial crisis by means of the three states random field Ising model; themes and applications of kinetic exchange models—redux; the kinetic exchange opinion model—solution in the single parameter map limit; an overview of the new frontiers of economic complexity; Jan Tinbergen's legacy for economic networks—from the gravity model to quantum statistics; a macroscopic order of consumer demand due to heterogeneous consumer behavior on Japanese household demand tested by the random matrix theory; uncovering the network structure of the world currency market—cross-correlations in the fluctuations of daily exchange rates; systemic risk in the Japanese credit network; pricing of goods with bandwagon properties—the curse of coordination; evolution of econophysics; econophysics and sociophysics—problems and prospects; and a discussion on econophysics. Abergel and Chakraborti are with the Laboratory of Mathematics Applied to Systems at the École Centrale Paris. Aoyama is with the Department of Physics at Kyoto University. Chakrabarti is at the Saha Institute of Nuclear Physics. Ghosh is with the Theoretical Condensed Matter Physics Division at the Saha Institute of Nuclear Physics.

2017 ◽  
Vol 55 (2) ◽  
pp. 644-647

Christophre Georges of the Department of Economics, Hamilton College reviews “Economics with Heterogeneous Interacting Agents: A Practical Guide to Agent-Based Modeling,” edited by Alessandro Caiani, Alberto Russo, Antonio Palestrini, and Mauro Gallegati. The Econlit abstract for this book begins: “Text for graduate and PhD students, as well as undergraduates with some knowledge of computers and economics comprises four papers emerging from a workshop on agent-based modeling held by the Dipartimento di Scienze Economiche e Sociali at the Università Politecnica delle Marche. Presents a guide to agent-based models (ABM) and the technicalities that need to be solved in order to evaluate the effect of different rules and their switching.”


2021 ◽  
Vol 1 (7) ◽  
Author(s):  
Mitja Steinbacher ◽  
Matthias Raddant ◽  
Fariba Karimi ◽  
Eva Camacho Cuena ◽  
Simone Alfarano ◽  
...  

AbstractIn this review we discuss advances in the agent-based modeling of economic and social systems. We show the state of the art of the heuristic design of agents and how behavioral economics and laboratory experiments have improved the modeling of agent behavior. We further discuss how economic networks and social systems can be modeled and we discuss novel methodology and data sources. Lastly, we present an overview of estimation techniques to calibrate and validate agent-based models and show avenues for future research.


Author(s):  
Duc Thi Luu

AbstractThe recent global financial crisis has shown portfolio correlations between agents as one of the major channels of risk contagion and amplification. In this work, we analyse the structure and dynamics of the cross-correlation matrix of banks’ loan portfolios in the yearly bank-firm credit network of Japan during the period from 1980 to 2012. Using the methods of Random Matrix Theory (RMT), Principal Component Analysis and complex networks, we aim to detect non-random patterns in the empirical cross-correlations as well as to identify different states of such correlations over time. Our findings suggest that although a majority of portfolio correlations between banks in lending relations to firms are contributed by noise, the top largest eigenvalues always deviate from the random bulk explained by RMT, indicating the presence of non-random patterns governing the correlation dynamics. In particular, we show that this dynamics is mainly driven by a global common factor and a couple of “groups” factors. Furthermore, different states in the credit market can be identified based on the evolution of eigenvalues and associated eigenvectors. For example, during the asset price bubble period in Japan from 1986 to 1991, we find that banks’ loan portfolios tend to be more correlated, showing a significant increase in the level of systemic risk in the credit market. In addition, building Planar Maximally Filtered Graphs from the correlations of different eigenmodes, notably, we observe that the local interaction structure between banks changes in different periods. Typically, when the dominance of a group of banks in one period gradually vanishes, the credit market starts to build-up a different structure in the next period in which another group of banks will become the main actors in the backbone of the cross-correlations.


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