Compare your debt ratings’ calculations against Getronics’ actual debt ratings  outlining why limitations in the prediction model may explain any differences.

MSc Financial Management
AMBS75006 Financial Statement Analysis – A2 – Individual Assignment
Assignment Instructions:
Assignment Reference  FSA-StudentNumber-Sep22-A2
Due Date 17 January 2023
Wordcount  2,000 words
Weighting 50% of the course
File Format Task 1: Excel and Word
Task 2: Word
Submission Details Task 1: Blackboard
Task 2: Turnitin
Instructions provided on Blackboard
Important instructions:
This final individual assignment should be attempted individually and without cooperating with other students. You should comply with the maximum word limit that is set for each task.report at the end of each answer the total number of words used, bearing in mind that you do not need to consider any tables / excel workings and reference lists when counting words. The assignment comprises two tasks, each weighted with 50% of the marks.
Task 1: Applying debt rating prediction models to real-life data: Getronics
Read the case study Getronics . A spreadsheet containing the exhibits  is available on Blackboard. Using the information from the case and the data in the spreadsheets, you are required to:
1. Apply the debt rating prediction model outlined in Table a on the next page, a version of the model described in Table 10.8, page 401 of the core text1 to determine a debt rating for each half year end during the years 2002 – 2007. State any assumptions made, and ensure your workings are clear in your spreadsheet answer.
2. Compare your debt ratings’ calculations against Getronics’ actual debt ratings  outlining why limitations in the prediction model may explain any differences.

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