Diffusion on Dynamical Interbank Loan Networks

Publikationen: Beitrag in Buch/Bericht/KonferenzbandBeitrag in Buch/SammelbandForschung

Standard

Diffusion on Dynamical Interbank Loan Networks. / Poulios, Nikolaos; Leventides, John.
Springer Optimization and Its Applications : SOIA: Discrete Mathematics and Applications. Band 165.2020 2020. S. 339-367.

Publikationen: Beitrag in Buch/Bericht/KonferenzbandBeitrag in Buch/SammelbandForschung

Harvard

Poulios, N & Leventides, J 2020, Diffusion on Dynamical Interbank Loan Networks. in Springer Optimization and Its Applications : SOIA: Discrete Mathematics and Applications. Bd. 165.2020, S. 339-367. https://doi.org/10.1007/978-3-030-55857-4_13

APA

Poulios, N., & Leventides, J. (2020). Diffusion on Dynamical Interbank Loan Networks. In Springer Optimization and Its Applications : SOIA: Discrete Mathematics and Applications (Band 165.2020, S. 339-367) https://doi.org/10.1007/978-3-030-55857-4_13

Vancouver

Poulios N, Leventides J. Diffusion on Dynamical Interbank Loan Networks. in Springer Optimization and Its Applications : SOIA: Discrete Mathematics and Applications. Band 165.2020. 2020. S. 339-367 doi: 10.1007/978-3-030-55857-4_13

Author

Poulios, Nikolaos ; Leventides, John. / Diffusion on Dynamical Interbank Loan Networks. Springer Optimization and Its Applications : SOIA: Discrete Mathematics and Applications. Band 165.2020 2020. S. 339-367

Bibtex - Download

@inbook{48b6ce02100b40a4ac7fdc3a39c8979d,
title = "Diffusion on Dynamical Interbank Loan Networks",
abstract = "In this paper we study the effect of diffusion method to interbank networks in concept of connected, directed and weighted networks. We consider networks of n different banks which they exchange funds (loans) and the main feature is how the leverages of banks can be choosen to improve the financial stability of the network. This is done by considering differential equations of diffusion type. It is well known that banks exchange funds in the form of credit which are supported partly by the banks own capital. The ratio of their assets by the capital constitute the leverage of the bank and for minimization of risk purposes this ratio has to be kept within reasonable limits. The aim of this paper is to show how ideas from diverse domains such as diffusion, differential equations and graph theory can be used to demonstrate how financial risk can be controlled in this type of interbank networks. Diffusion acts as a stabilization process by the flow of funds from banks of higher leverage to those of lower. This process leads to equilibrium and stops either in a state of equal leverages between banks or whenever this is not possible in a final state which is more robust compared to the initial. The relation between the initial and final values of the interbank network may be described by a projection operator.",
author = "Nikolaos Poulios and John Leventides",
year = "2020",
month = nov,
day = "22",
doi = "10.1007/978-3-030-55857-4_13",
language = "English",
isbn = "978-3-030-55856-7",
volume = "165.2020",
pages = "339--367",
booktitle = "Springer Optimization and Its Applications : SOIA",

}

RIS (suitable for import to EndNote) - Download

TY - CHAP

T1 - Diffusion on Dynamical Interbank Loan Networks

AU - Poulios, Nikolaos

AU - Leventides, John

PY - 2020/11/22

Y1 - 2020/11/22

N2 - In this paper we study the effect of diffusion method to interbank networks in concept of connected, directed and weighted networks. We consider networks of n different banks which they exchange funds (loans) and the main feature is how the leverages of banks can be choosen to improve the financial stability of the network. This is done by considering differential equations of diffusion type. It is well known that banks exchange funds in the form of credit which are supported partly by the banks own capital. The ratio of their assets by the capital constitute the leverage of the bank and for minimization of risk purposes this ratio has to be kept within reasonable limits. The aim of this paper is to show how ideas from diverse domains such as diffusion, differential equations and graph theory can be used to demonstrate how financial risk can be controlled in this type of interbank networks. Diffusion acts as a stabilization process by the flow of funds from banks of higher leverage to those of lower. This process leads to equilibrium and stops either in a state of equal leverages between banks or whenever this is not possible in a final state which is more robust compared to the initial. The relation between the initial and final values of the interbank network may be described by a projection operator.

AB - In this paper we study the effect of diffusion method to interbank networks in concept of connected, directed and weighted networks. We consider networks of n different banks which they exchange funds (loans) and the main feature is how the leverages of banks can be choosen to improve the financial stability of the network. This is done by considering differential equations of diffusion type. It is well known that banks exchange funds in the form of credit which are supported partly by the banks own capital. The ratio of their assets by the capital constitute the leverage of the bank and for minimization of risk purposes this ratio has to be kept within reasonable limits. The aim of this paper is to show how ideas from diverse domains such as diffusion, differential equations and graph theory can be used to demonstrate how financial risk can be controlled in this type of interbank networks. Diffusion acts as a stabilization process by the flow of funds from banks of higher leverage to those of lower. This process leads to equilibrium and stops either in a state of equal leverages between banks or whenever this is not possible in a final state which is more robust compared to the initial. The relation between the initial and final values of the interbank network may be described by a projection operator.

U2 - 10.1007/978-3-030-55857-4_13

DO - 10.1007/978-3-030-55857-4_13

M3 - Chapter

SN - 978-3-030-55856-7

VL - 165.2020

SP - 339

EP - 367

BT - Springer Optimization and Its Applications : SOIA

ER -