6 points, SCA Band 3, 0.125 EFTSL
Postgraduate - Unit
Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.
- Second semester 2019 (On-campus)
, or equivalent.
Students must be enrolled in course B6001, B6003 or B6004.
This unit develops knowledge and improves skills in credit risk modelling by using market information to predict defaulted firms. The topics discussed will provide an understanding of their relative merits, the issues involved in their implementation and their use in the pricing and risk management of credit risk. This unit assists practitioners and students alike to understand better the use of credit risk models and moves them away from the proverbial Black Box scenario.
The learning goals associated with this unit are to:
- develop credit risk modelling using Altman and Ohlson models
- develop an understanding of credit risk modelling approaches
- analyse the Merton structural model and implications for credit analysis
- analyse the term structure of credit spreads and probabilities of default
- analyse implications of alternative ways to model recovery
- develop correlations between default rates and recovery
- develop copula based approach to modelling default dependence
- apply critical thinking, problem solving and presentation skills to individual and/or group activities dealing with credit risk modelling and demonstrate in an individual summative assessment task the acquisition of comprehensive understanding of the topics covered by BFC5380.
Within semester assessment: 100%
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.
See also Unit timetable information