In my Bachelor thesis I analyze the determinants of rating changes and the variables'marginal effects on rating change probabilities. Based on my results, I present transition matrices by computing transition probabilities. Furthermore, I analyze subsamples of my data set, conditional on the business cycle and the economic strength of a country, by using interaction effects. I thereby verify whether or how the transition matrices change by including interaction effects.
I apply a latent variable approach, using an ordered probit model, to calculate the effects of different variables on the probabilities of rating changes.
Contents
List of Figures
List of Tables
1 Introduction
2 Previous Literature
3 Agencies’ rating assessment
3.1 Rating Definitions and Methodology
3.2 Rating Transition Matrices
4 Ordered Probit Model
4.1 Mathematical Framework
4.2 Model parameters
4.3 Marginal effects
5 Data
5.1 Data summary
5.2 Independent Variables and direction of change
5.3 Choice of Variables
6 Estimation
6.1 Simple Ordered Probit Model
6.2 Random Effects Ordered Probit Model
6.3 Marginal Effects
7 Predicted Probabilities and Transition matrices
7.1 Predicted Probabilities
7.2 Unconditional Transition Matrices
7.3 Conditional Transition Matrices
8 Conclusion
Appendix
References
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