New! Hire Essay Assignment Writer Online and Get Flat 20% Discount!!Order Now
FNCE30012
AU
The University of Melbourne
Equifax Australia has provided us with synthetic loan application data from Australian proprietary companies. This data was generated to match the characteristics of actual lending proposals approved between February 2017 and March 2018. The Equifax data consists of two parts, which, to make it easier for you, we have merged together into one data set:
1. Company Business Trading History Data: This first part of the data set contains historical business trading data from 25,000 Australian proprietary companies who were granted a loan between February 2017 and March 2018.
2. Director Data: This second part of the data set contains information on up to four directors of each company. In case a company has more than one director, the corresponding data has been averaged across directors at the company level.
Since this is proprietary data that belongs to Equifax, we are not allowed to give you direct access to it. However, thanks to Jupyter Hub, you are able to access it remotely. In particular, using your knowledge from Tutorial 9, you are able to analyse it at an aggregate level and to use it for the estimation of credit scoring models.
15,000+ happy customers and counting!