Any banker, when granting a loan to a company, has to monitor the performance of
that company to ensure that repayment is made as and when required till the loan matures
or expires. Consequently, with a view to enhance such monitoring needs of banks and
other institutions which grant facilities to nonfinancial companies, it is of
paramount significance to have a sound repayment capacity model for Mauritian firms. Indeed,
no repayment capacity model has been devised for a developing country like Mauritius,
let alone for a developed one. The aim of this paper is to thereby fill such a vacuum,
providing, to the author's best knowledge, the very first credit risk model for an African country.
The greatest advantage of such a model is that it is more geared toward practitioners
rather than academicians who use structural or reduced-form credit risk models.
This paper is organized as follows: Section 2 provides a very concise review of
the empirical literature on bankruptcy model, though it is not directly linked to
the assessment of repayment capacity, literature on which does not exist as on date.
Section 3 deals with data and methodology, while Section 4 discusses the empirical
results. Finally, the conclusion is offered.
At the outset, it is vital to note that credit risk modeling is an essential ingredient of
Basel II. The underlying rationale is that, compared to Basel I, in Basel II, risk is not
constant but is instead directly related to the level of credit risk embodied in the credit
portfolio. Subsequently, it becomes important for banks to have recourse to sound credit
risk modeling with a view to have proper assessment of capital contingent to the level of
risk really borne by the bank. This would be symptomatic with sound credit risk
management principle in the view of "cutting one's coat according to one's cloth" for each
bank. Usually, in simple terms, credit risk modeling uses attributes of the borrower which is
then linked to his or her respective bankruptcy positions. The credit risk of any financial
asset consists of three elements: (1) The Probability of Default (PD); (2) The Loss
Given Default (LGD), which is equal to one minus the Recovery Rate (RR) in the event
of default; and (3) The Exposure at Default (EAD). |