This research studies the relationship between the probability of bank failures in Puerto Rico to a set of financial, macroeconomic, and public policy variables by estimating a logistic regression and a linear probability model. The data extracted for the purpose of this thesis encompasses from 1993 to 2018 and has been acquired from the FDIC, Puerto Rico's Institute of Statistics as well as from the US Census. The pertinent literature is revised and examined in order to establish a framework from which to base this study. The results of the estimated equations show that variables related to income, insolvency, and liquidity are the most important predictors of bank failures in Puerto Rico.
|Commitee:||Lara, Juan, Rodriguez, Carlos|
|School:||University of Puerto Rico, Rio Piedras (Puerto Rico)|
|School Location:||United States -- Puerto Rico|
|Source:||MAI 58/06M(E), Masters Abstracts International|
|Keywords:||Banking industry, Financial economics, Linear probability models, Logistic regression, Puerto Rico|
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