By Myriam P. Sassano, Araceli N. Proto (auth.), Araceli N. Proto, Massimo Squillante, Janusz Kacprzyk (eds.)
In this quantity fresh advances within the use of recent quantitative types for the research of varied difficulties regarding the dynamics of social and monetary platforms are provided. the bulk chapters describe instruments and methods of commonly perceived computational intelligence, particularly fuzzy common sense, evolutionary computation, neural networks and a few non-standard probabilistic and statistical analyses. as a result excessive complexity of the platforms and difficulties thought of, in lots of events it is vital to think about whilst analytic, topological and statistical points and follow acceptable methods and algorithms. This quantity is an instantaneous results of vibrant discussions held in the course of the 5th overseas Workshop on Dynamics of Social and affordable structures (DYSES) which used to be held at Benevento, Italy September 20-25, 2010, in addition to a number of post-workshop conferences and consultations.
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Additional info for Advanced Dynamic Modeling of Economic and Social Systems
The risk of facing a liquidity shortage due to the ﬂuctuations of customers’ deposits. As a form of coinsurance, banks share such a risk by holding gross liquid positions: each bank deposits a sum in other banks and receives deposits from other banks. Such a cross-holding of deposits (and/or short term loans) forms what are known as interbank liquidity networks. In Eboli and Castiglionesi (2011) we model an interbank liquidity network as a ﬂow network, with the aim of comparing the eﬃcacy, of diﬀerent network structures, in transferring liquidity among banks.
Games and Decisions. : Fuzzy Cooperative Games. : The Focussed Interview and Focus Group: Continuities and Discontinuities. : The Analytic Hierarchy Process. : Simple games. An outline of the theory. Behavioral Sciences 7, 59–66 (1962) Financial Applications of Flow Network Theory Mario Eboli Dipartimento di Studi Aziendali, Universit` a “G. d’Annunzio”, Pescara, Italy Abstract. This paper reviews some recent applications of ﬂow network theory to the modelling of ﬁnancial systems and of interbank liquidity networks.
The links in Λ represent the interbank short-term obligations, their direction goes from the debtor node to the creditor node. The weight of a link lij ∈ Λ, that goes from node ωi to node ωj , is equal to the amount of money cji that bank ωj has deposited in bank ωi . To transform an interbank network N into a ﬂow network, we need to add to the network a liquidity shock. , δn ], where δi measures the change in customer deposits held by ωi and Ω δi = 0. We attach a source node si and a link lsi to each node ωi in Ω that experiences an increase of customer deposits.
Advanced Dynamic Modeling of Economic and Social Systems by Myriam P. Sassano, Araceli N. Proto (auth.), Araceli N. Proto, Massimo Squillante, Janusz Kacprzyk (eds.)