This paper analyzes the relationship between the size of the entities in the
US banking system and their economic-financial situation. The objective of
this study is to group different economic and financial variables of the
entities together into factors that characterize the US banking system and
identify and identify how the factors vary according to the size of the
entities. To do this, we start from the values taken by 32
economic-financial and regulatory ratios, obtained directly from the Federal
Deposit Insurance Corporation (FDIC), for a period between the first quarter
of 1990 and the penultimate of 2016. With this data it is performed a
factorial analysis that allows synthesizing the 32 variables in 7 factors
and, at the same time, obtaining relationships between these variables and
the size and between themselves. Finally, through a neural network, the
previous factors are hierarchized according to the influence that the size
of the entities exerts on them. Among the conclusions reached, it should be
noted that the loan structure is the factor that best classifies the size.
It also determines the existence of a negative ?profitability-solvency?
relationship with larger entities, (Assets> $ 250 B.) and smaller ones
(Assets <$ 100 M.), as well as demonstrating the existence of moral hazard
and the need for regulation that limits said risk (because the largest
entities are the least solvent and assume the most risks).