Various models of organization for networks of financial cooperatives are found around the world. The current situation, especially in terms of quality of governance, outreach and efficiency, appears to have been influenced significantly by the importance placed on the type of network organization chosen in the past. For example, European federated networks of financial cooperatives present cer...

This paper explores current models and practice regarding the dynamics of financial flows along global supply networks. Based on data collected from technology and service providers that focus on such issues along global supply networks, the paper identifies and discusses requirements for improved solutions to supply chain finance challenges. This research has particular relevance in the light ...

This work proposes an augmented variant of DebtRank with uncertainty intervals as a method to investigate and assess systemic risk in financial networks, in a context of incomplete data. The algorithm is tested against a default contagion algorithm on three ensembles of networks with increasing density, estimated from real-world banking data related to the largest 227 EU15 financial institution...

BACKGROUND Intergenerational transfer patterns in sub-Saharan Africa are poorly understood, despite the alleged importance of support networks to ameliorate the complex implications of the HIV/AIDS epidemic for families. OBJECTIVE There is a considerable need for research on intergenerational support networks and transfers to better understand the mechanisms through which extended families co...

Neural networks are an artificial intelligence method for modeling complex non-linear functions. Artificial Neural Networks (ANNs) have been widely applied to the domain of prediction problems. Considerable research effort has gone into ANNs for modeling financial time series. This paper attempts to provide an overview of recent research in this area, emphasizing the issues that are particularl...

This paper presents a study of neural network forecasting construction system. Forecasting, especially financial forecasting has been attracting researchers and practitioners for many years. Many experiments suggest that neural networks can outperform conventional models in most cases. However, due to the tedious and time consuming of neural networks training, some of models reported in literat...