Credit risk management at retail in Mexico: An econometric improvement in the selection of variables and changes in their characteristics

Translated title of the contribution: Credit risk management at retail in Mexico: An econometric improvement in the selection of variables and changes in their characteristics

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The early prediction of bad debtors in revolving loans in Mexico is a relevant current issue. The proposed econometric model of behavioral scoring considers the changes in the characteristics of consolidated clients and produces better results than those obtained with methodology used by the CNBV on provisions. The obtained results show the possibility of replacing the current model, minimizing the expected loss and increasing the ROA of Mexican financial institutions in 2.20% complying the methodology and statistical testing criteria according to the Unique Banking Dispositions and the guidelines of Basel II on credit risk.

Translated title of the contributionCredit risk management at retail in Mexico: An econometric improvement in the selection of variables and changes in their characteristics
Original languageEnglish
Pages (from-to)377-398
Number of pages22
JournalContaduria y Administracion
Volume62
Issue number2
DOIs
StatePublished - Apr 2017

Keywords

  • Banks
  • Credit
  • Data estimation methodology
  • Econometric modeling
  • Optimization techniques

Fingerprint

Dive into the research topics of 'Credit risk management at retail in Mexico: An econometric improvement in the selection of variables and changes in their characteristics'. Together they form a unique fingerprint.

Cite this