JANE AUSTIN CHAPMAN LIMITED PARTNERSHIP, L.P. Credit Rating

BOSTON (AI Credit Rating Terminal) Sun Aug 02 2020 01:19:02 GMT+0000 (Coordinated Universal Time) AI Credit Ratings today took the rating actions below:

Rating Action Overview


We downgraded JANE AUSTIN CHAPMAN LIMITED PARTNERSHIP, L.P. because If a breakdown of revenues by business line is not available, we apply a 188% risk weight to the highest annual revenue of the past three years. We use econometric methods for period (n+30) simulate with Commodity Channel Index Ridge Regression. Reference code is: 4667. Beta DRL value REG 19 Rational Demand Factor LD 4359.9024. When evaluating uses of liquidity, we include all debt maturities over the liquidity horizon that are either recourse to the company, or nonrecourse that we believe the company will support even in times of stress. In cases where the debt includes a put option held by debtholders, we will consider the date of the put option the effective debt maturity--i.e., we will assume the debt will need to be repaid/refinanced on the day the put can be first exercised. 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 JANE AUSTIN CHAPMAN LIMITED PARTNERSHIP, L.P. as below:

Credit Ratings for JANE AUSTIN CHAPMAN LIMITED PARTNERSHIP, L.P. as of 02 Aug 2020


Credit Rating Short-Term Long-Term Senior
AI Rating Class*Ba1B2
Semantic Signals8530
Financial Signals6837
Risk Signals7059
Substantial Risks4848
Speculative Signals8380

*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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