RenaissanceRe Holdings Ltd. 6.08% Series C Preference Shares Credit Rating

BOSTON (AI Credit Rating Terminal) Thu Jul 23 2020 08:19:03 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below:

Rating Action Overview

We downgraded RenaissanceRe Holdings Ltd. 6.08% Series C Preference Shares because business model transition. We use econometric methods for period (n+30) simulate with Price Oscillator (PPO) Wilcoxon Rank-Sum Test. Reference code is: 2586. Beta DRL value REG 17 Rational Demand Factor LD 4611.3606. To assess an issuer's standing in the credit markets, we may look at factors such as equity, debt, and credit default swaps (CDS) trading levels, where available, relative to peers and market averages. For example, lower-than-average debt trading levels or widening rating-adjusted spreads relative to market averages may indicate decreasing market confidence about a company's prospects and ability to meet its debt maturities. As a result, the company could have increased difficulty accessing the capital markets. Credit Rating AI Process rely on primary sources of information: Sec Filings, Financial Statements, Credit Ratings, Semantic Signals. Take a look at Machine Learning section for Financial Deep Reinforcement Learning.Oscillators are used for generating credit risk signals by using the semantic and financial signals. The value of the oscillators indicate the strength of trend. Using the correlation matrices, the credit rating risk map for RenaissanceRe Holdings Ltd. 6.08% Series C Preference Shares as below:

Credit Ratings for RenaissanceRe Holdings Ltd. 6.08% Series C Preference Shares as of 23 Jul 2020

Credit Rating Short-Term Long-Term Senior
AI Rating Class*B3B2
Semantic Signals3033
Financial Signals4183
Risk Signals4555
Substantial Risks7131
Speculative Signals4644

*Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network and Support Vector Machines.
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