I am completing my Master′s in Corporate Financial Management and I have to deliver a Master′s thesis.
I have decided to focus on the revenue model of Credit Rating Agencies and have already written the Introduction. This introduction has already been reviewed by my thesis’ supervisor (please find the intro and my supervisors’ comments attached).
For the 15th of January, I have to submit my reviewed introduction, litterature review and methodology?
For the litterature review, I thought that doing a mix of the one of Zhu (see honor’s thesis written in 2019 attached) and the article published by Xia in 2014 (see article attached).
For the methodology, I thought to test the responsiveness of S&P’s ratings to credit risk, we can examine the correlation between S&P’s ratings and the expected default probability (EDP). A higher correlation indicates that S&P’s ratings are more responsive to credit risk.
As we compare the correlations over different stages, if S&P’s ratings have a higher correlation with the EDP after the agency’s entry, then S&P improves its rating responsiveness in response to that entry and this type of competition is beneficial. (See Future Research Directions proposed by Zhu in honor’s thesis attached). My supervisor suggested to follow this methodology with more recent data, if possible.
Please tell me if the proposed budget is enough to review the introduction, and write the literature review and methodology ?
In total the number of pages would have to be 20. But I would also like some insights on where to find the data and how to use it.
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