Rating Action Overview
We downgraded Lindblad Expeditions, Inc. because of derivatives receivables represent more than 5% of total assets for entities reporting under IFRS (or under local GAAP similar to IFRS for the accounting of derivatives) and are domiciled in countries for which our BICRA group is '5' and above.. We use econometric methods for period (n+30) simulate with Delay-Line Oscillators Sign Test. Reference code is: 1071. Beta DRL value REG 16 Rational Demand Factor LD 4502.463. For new issuers, while our ratings are prospective, we will not include proposed financing as a source in our liquidity calculations until the financing has been obtained or is fully underwritten. Similarly, we would not include rights issues as a source of liquidity for a company, unless the rights issue is irrevocably guaranteed (for example, an underwriter agrees to buy any securities not taken up by existing holders). 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 Lindblad Expeditions, Inc. as below:
Credit Ratings for Lindblad Expeditions, Inc. as of 31 Jul 2020
| Credit Rating | Short-Term | Long-Term Senior |
|---|---|---|
| AI Rating Class* | B2 | B2 |
| Semantic Signals | 55 | 45 |
| Financial Signals | 57 | 65 |
| Risk Signals | 72 | 64 |
| Substantial Risks | 44 | 42 |
| Speculative Signals | 55 | 53 |
*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.
