scholarly journals A maximum entropy network reconstruction of macroeconomic models

2019 ◽  
Vol 519 ◽  
pp. 1-17 ◽  
Author(s):  
Aurélien Hazan
Keyword(s):  
Maximum Entropy ◽  
Network Reconstruction ◽  
Macroeconomic Models

scholarly journals Systemic risk, maximum entropy and interbank contagion

2016 ◽  
Vol 27 (12) ◽  
pp. 1650148 ◽  
Author(s):  
M. Andrecut
Keyword(s):  
Maximum Entropy ◽  
Systemic Risk ◽  
Network Reconstruction ◽  
Connected Network ◽  
Reliable Estimation ◽  
Sparse Network ◽  
Fully Connected

We discuss the systemic risk implied by the interbank exposures reconstructed with the maximum entropy (ME) method. The ME method severely underestimates the risk of interbank contagion by assuming a fully connected network, while in reality the structure of the interbank network is sparsely connected. Here, we formulate an algorithm for sparse network reconstruction, and we show numerically that it provides a more reliable estimation of the systemic risk.

Stochasting modeling of planetary ring systems

1984 ◽  
Vol 75 ◽  
pp. 461-469 ◽  
Author(s):  
Robert W. Hart
Keyword(s):  
Maximum Entropy ◽  
Ring System ◽  
The Sun ◽  
Ultimate State ◽  
Interparticle Interactions ◽  
Ring Systems ◽  
First Order ◽  
Planetary Ring ◽  
Insight Into

ABSTRACTThis paper models maximum entropy configurations of idealized gravitational ring systems. Such configurations are of interest because systems generally evolve toward an ultimate state of maximum randomness. For simplicity, attention is confined to ultimate states for which interparticle interactions are no longer of first order importance. The planets, in their orbits about the sun, are one example of such a ring system. The extent to which the present approximation yields insight into ring systems such as Saturn's is explored briefly.

Network reconstruction based on steady-state data

2008 ◽  
Vol 45 ◽  
pp. 161-176 ◽  
Author(s):  
Eduardo D. Sontag
Keyword(s):  
Steady State ◽  
Reverse Engineering ◽  
Theoretical Method ◽  
Network Reconstruction ◽  
Quasi Steady State ◽  
State Data

This paper discusses a theoretical method for the “reverse engineering” of networks based solely on steady-state (and quasi-steady-state) data.

BRAGG-PEAK LOCATION EMPLOYING A MAXIMUM-ENTROPY FORMALISM

1986 ◽  
Vol 47 (C5) ◽  
pp. C5-55-C5-62
Author(s):  
M. S. LEHMANN ◽  
T. E. ROBINSON ◽  
S. W. WILKINS
Keyword(s):  
Maximum Entropy ◽  
Bragg Peak ◽  
Peak Location ◽  
Maximum Entropy Formalism

The Role of Behavioral Models in the Ontological Structure of Modern Macroeconomics

2013 ◽  
pp. 98-110
Author(s):  
M. Likhachev
Keyword(s):  
Economic System ◽  
Government Regulation ◽  
Institutional Structure ◽  
Economic Environment ◽  
Behavioral Models ◽  
Macroeconomic Models ◽  
Basic Characteristics ◽  
Practical Implications

Behavioral models are considered in the paper as the link between the description of the institutional structure of the economic system and the formation of macro-aggregates, reflecting the results of its operations. The degree of homogeneity of the private sector’s economic environment and complementary goals of private entities and government regulation are noted as basic characteristics of behavioral models. The author examines the differences in the estimates of these characteristics as one of the most important factors underpinning the architecture of modern macroeconomic models and their practical implications.

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