Petronet LNG Ltd. Stock Forecast Period (n+1y) 20 May 2020


Stock Forecast


As of Wed May 20 2020 15:30:00 GMT+0000 (Coordinated Universal Time) shares of Petronet LNG Ltd. 1.45 percentage change in price since the previous day's close. Around 1498576 of 1500000128 changed hand on the market. The Stock opened at 226 with high and low of 224.1 and 228.7 respectively. The price/earnings ratio is: 12.2 and earning per share is 18.64. The stock quoted a 52 week high and low of 170.4 and 299 respectively.

BOSTON (AI Forecast Terminal) Wed, May 20, '20 AI Forecast today took the forecast actions: In the context of stock price realization of Petronet LNG Ltd. is a decision making process between multiple investors each of which controls a subset of design variables and seeks to minimize its cost function subject to future forecast constraints. That is, investors act like players in a game; they cooperate to achieve a set of overall goals.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. Machine Learning based technical analysis (n+1y) for Petronet LNG Ltd. as below:
Using machine learning modified The random walk index model RWI equivalent to a model of stock market dynamics with price expectations, we analyze the reaction of investors to speculations. Analyzing those data we were able to establish the amount by which each stock felt the speculative attacks, a dampening factor which expresses the capacity of a market of absorving a shock, and also a frequency related with volatility after the speculation. Using the correlation matrices, the speculative buffer for the shares of Petronet LNG Ltd. as below:

Petronet LNG Ltd. Credit Rating Overview


We rerate Petronet LNG Ltd. because of the firm's business is modestly more concentrated than average for peers, and the concentration represents modest incremental risk above what is captured in the anchor, but it is not a key credit weakness. We use econometric methods for period (n+1y) simulate with Triple Exponential Moving Average (TRIX) Logistic Regression. Reference code is: 4237. Beta DRL value REG 31 Rational Demand Factor LD 4038.0606. Larger, investment-grade issuers that have access to both public and private debt markets have greater flexibility than companies that depend solely on private bank loans. In addition, we consider whether a company can borrow on an unsecured basis, has access to the commercial paper markets, and issues debt in multiple geographies. It is more costly to raise debt in the public bond markets and often requires a company to establish a track record among investors. These costs and information asymmetry issues sometimes make it impractical for smaller, speculative-grade issuers to raise small amounts of debt in public 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 risk map for Petronet LNG Ltd. as below:
Frequently Asked Questions Q:What is the credit rating id for this company?
A:1966211061984709205
Q:What is the credit rating date for this company?
A:Wednesday, May 20, 2020
Q:What is the AI credit rating?
A:AI credit rating is an evaluation of the credit risk of a prospective debtor, predicting their ability to pay back the debt, and an implicit machine learning forecast of the likelihood of the debtor defaulting.
Q:What is the AI credit rating scale?
A:AI rating scale, which ranges from a maximum Aaa to a minimum C, consists of 21 notches and two categories: Investment category for the financially sound companies and Speculative category for the companies with a higher risk of defaulting.
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