Modélisation KMVDe La Probabilité De Défaut De Remboursement : Application A La Bourse De Valeurs De Casablanca

Journal Title: IOSR Journal of Economics and Finance (IOSR-JEF) - Year 2018, Vol 9, Issue 3

Abstract

The granting of the loan by a credit institution in Morocco is a very risky operation, indeed, according to the Global Failure Index of the firm Euler Hermes, Morocco is among the countries that will record the highest increases in insolvencies (+12 % in 2017), alongside China (+10%), the United Kingdom (+ 8%), Romania (+7%), and Poland (+5%). Financial literature in developed countries is rich in failure prediction models, pioneering models are Beaver (1966), Altman (1968) and Merton (1974). But, this kind of work on failure forecasting is weak in African countries in general and in Morocco in particular, hence the interest of this work. This article examines empirically the modeling of the risk of credit default on the selected indicators of the performance of three companies listed on the Moroccan financial market. In an attempt to juxtapose previous results that were specific to developed countries, the KMV technique was used. The results revealed that, unlike work on the positive impact of leverage on the company's profitability, we concluded that changing the funding structure impacts the probability of default up or down. The results also highlight the interest for financial analysts to implement this type of tool to better manage default risk.

Authors and Affiliations

Omar Hajaji, Khalifa Ahsina, Cheklekbire MALAININE

Keywords

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  • EP ID EP414579
  • DOI 10.9790/5933-0903010612.
  • Views 215
  • Downloads 0

How To Cite

Omar Hajaji, Khalifa Ahsina, Cheklekbire MALAININE (2018). Modélisation KMVDe La Probabilité De Défaut De Remboursement : Application A La Bourse De Valeurs De Casablanca. IOSR Journal of Economics and Finance (IOSR-JEF), 9(3), 6-12. https://europub.co.uk/articles/-A-414579