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RSK4804 Assignment 1 Memo | Due 30 May 2025

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RSK4804 Assignment 1 Memo | Due 30 May 2025. All questions fully answered. Question 1 [10] a. Explain the two most important drivers of credit risk and how those relate to the probability of default (PD). (5) b. As head of credit risk at Daspoort Investment Bank, you are considering approval of a five-year credit asset (business term loan) with a bullet (balloon) repayment at the end of a term. The term loan shows a marginal probability of default of 1.3%, 1.5%, 1.2%, 1.7%, and 2.2% for each of the five years, respectively. How would you find the cumulative probability of default over the five-year period for pricing purposes? Question 2 [10] The Merton model, which was proposed in 1974 by economist Robert C. Merton, is a mathematical formula that stock analysts and commercial loan officers, among others, can use to judge a corporation’s risk of credit default and ability to retain solvency. This model assesses the structural credit risk of a company by modeling its equity as a call option on its assets. With the above statement in mind, the current value of the assets of Sibasa Agricultural Holdings is R130 million. The assets are financed by a mix of equity and zero-coupon debt. The current value of the zero-coupon debt is R75 million, and the final amount to be paid on maturity after five years is R120 million, with an effective interest rate of 13.25%. The volatility in Sibasa Agricultural Holdings’ asset value is 23%. The following is required: a. Compute the probability of default (PD) of Sibasa Agricultural Holdings based on the Merton model. (5) b. What is the impact on probability of default (PD) if the volatility suddenly decreases to 21%? (5) Question 3 [15] Internal rating systems deployed by banks and financial institutions differ from organisation to organisation. As a potential future credit risk analyst, you are required to identify a local or international financial (lending) institution or a retailer who extends credit facilities to new and existing clients. Your focus must include but not be limited to the following: - • Understanding of the organisation’s internal rating systems • A process that has been put in place • Decision to deny or approve a credit line to a customer • How the credit quality of a client’s portfolio is maintained Document your visit/call and provide feedback relating to your findings. Conditions: (a) Physical visit to the entity or telephonic contact is a must – originality is required. Also, it is mandatory to provide the name of the company (organisation), place, business type, name of the person interviewed, and the date. (b) Any “cut and paste” from resources will not attract marks. Question 4 (15) In credit assessment, Porter’s Five Forces Model is a tool that can be used to give insight into forces that affect the revenue and profitability of a business. As a credit analyst for Meadowbank Limited, use the Porter’s Model to assess the potential, in terms of performance, of a company of your choice, locally or internationally, in sectors of retail, automotive, aviation, and food services. You can begin by giving a brief background of the company and the sector of operation. TOTAL MARKS: 50

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 Question 1

A) Explain the two most important drivers of credit risk and how those relate to the probability
of default (PD).

The two most important drivers of credit risk are Loss Given Default (LGD) and Exposure at Default
(EAD). These factors significantly influence the potential loss a lender may incur if a borrower
defaults and are essential components in the calculation of credit risk.

Loss Given Default (LGD):
LGD represents the proportion of the exposure that is lost by the lender if a borrower defaults. It
reflects the severity of the loss and takes into account recoveries from collateral or other forms of
credit enhancement. LGD is typically expressed as a percentage and varies depending on the type of
credit facility, the collateral involved, and market conditions. A higher LGD indicates that the lender
stands to lose more if default occurs.

Exposure at Default (EAD):
EAD is the total value a lender is exposed to at the time of default. For credit facilities like loans or
revolving credit lines, this includes the outstanding balance and any amounts that the borrower is
likely to draw before default. EAD determines the total potential exposure that could be lost if the
borrower fails to meet their obligations.

Relation to Probability of Default (PD)
PD is the likelihood that a borrower will default on their debt obligations within a specified period,
usually one year. It reflects the creditworthiness of the borrower and is often based on internal credit
assessments or external credit ratings.

While PD indicates the chance of a default occurring, EAD and LGD determine the size of the loss if
that default happens. Together, these three components form the foundation of the Expected Loss
(EL) calculation, which is expressed as:

EL = PD × EAD × LGD

This equation shows that credit risk depends not only on the likelihood of default (PD) but also on
how much is at risk (EAD) and how much would be lost if default occurs (LGD). Therefore, EAD
and LGD are considered the most important drivers of credit risk because they directly affect the
potential magnitude of financial loss.

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