The learning mechanism of neurones has inspired researchers at the University of Valladolid (Spain) to create algorithms that can predict whether a bank will go bust. The model was correct for 96% of the banks that went bust in the USA in 2013 after analysing their financial indicators from the previous decade, marked by the economic crisis. The most vulnerable were those which had accumulated loans from the construction sector and grown rapidly without sufficient provisions.
A mathematical and computational study by the Universidad Carlos III of Madrid (UC3M) based on network theory suggests that restructuring certain interbank loans would help to contain the spread of economic crises in the financial system.
Lo sentimos, Inténtalo de nuevo más tarde. .
