Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

The determinants of the individual nestedness contribution in financial systems

View through CrossRef
Abstract Nestedness is one of the most pervasive and studied patterns observed in complex networks and refers to a hierarchical organization of the network. In this paper, we assess the determinants of the individual nestedness contribution (INC) in financial systems. To perform this task, we rely on data from two Brazilian financial networks: the bank-firm credit network and the interbank network. We computed the nestedness of the networks, as well as the INC for each node. The main determinants of the INC in the bank-firm network are the degree and the core number. In the interbank network, the INC of lending banks is mainly driven by their degree, while the INC of borrowing banks has not a clear main determinant.
Title: The determinants of the individual nestedness contribution in financial systems
Description:
Abstract Nestedness is one of the most pervasive and studied patterns observed in complex networks and refers to a hierarchical organization of the network.
In this paper, we assess the determinants of the individual nestedness contribution (INC) in financial systems.
To perform this task, we rely on data from two Brazilian financial networks: the bank-firm credit network and the interbank network.
We computed the nestedness of the networks, as well as the INC for each node.
The main determinants of the INC in the bank-firm network are the degree and the core number.
In the interbank network, the INC of lending banks is mainly driven by their degree, while the INC of borrowing banks has not a clear main determinant.

Related Results

Quantifying and interpreting nestedness of bryophytes in the Zhoushan Archipelago, China
Quantifying and interpreting nestedness of bryophytes in the Zhoushan Archipelago, China
Abstract Background: Detecting nestedness distribution and understanding their origin are important for biological conservation. Although previous studies on nestedness cov...
Temporal origin of nestedness in interaction networks
Temporal origin of nestedness in interaction networks
Abstract Nestedness is a common property of communication, finance, trade, and ecological networks. In networks with high levels of nestedness, the link positions o...
A new conceptual and methodological framework for exploring and explaining pattern in presence – absence data
A new conceptual and methodological framework for exploring and explaining pattern in presence – absence data
A conceptual framework is proposed to evaluate the relative importance of beta diversity, nestedness and agreement in species richness in presence – absence data matrices via parti...
Interventions designed to improve financial capability: A systematic review
Interventions designed to improve financial capability: A systematic review
AbstractBackgroundThere is growing recognition that people need stronger financial capability to avoid and recover from financial difficulties and poverty. Researchers are testing ...
ECONOMIC ESSENCE OF THE FINANCIAL STABILITY OF THE BANKING SYSTEM
ECONOMIC ESSENCE OF THE FINANCIAL STABILITY OF THE BANKING SYSTEM
Introduction. The article examines the essence of financial stability and stability of the banking system in order to analyze and understand them. The main approaches to interpreti...
Financial Strain and Health
Financial Strain and Health
One of the most fundamental results in health economics is that a greater socio-economic status is associated with better health outcomes. However, the experience of financial pres...
Decoding Millennial Financial Behavior: Factors Shaping Financial Management Nexus
Decoding Millennial Financial Behavior: Factors Shaping Financial Management Nexus
This study investigates the influence of Financial Literacy, Financial Knowledge, Financial Attitude, Locus of Control, and Income on Financial Management Behavior among millennial...

Back to Top