MBT Mobile TeleSystems OJSC Stock Forecast Period (n+15) 21 Feb 2021


Stock Forecast


As of Sat Feb 20 2021 00:00:02 GMT+0000 (Coordinated Universal Time) shares of MBT Mobile TeleSystems OJSC 0.81 percentage change in price since the previous day's close. Around 2739274 of 999191000 changed hand on the market. The Stock opened at 8.63 with high and low of 8.59 and 8.69 respectively. The price/earnings ratio is: 10.47 and earning per share is 0.83. The stock quoted a 52 week high and low of 6.2 and 10.99 respectively.

BOSTON (AI Forecast Terminal) Sun, Feb 21, '21 AI Forecast today took the forecast actions: In the context of stock price realization of MBT Mobile TeleSystems OJSC 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+15) for MBT Mobile TeleSystems OJSC 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 MBT Mobile TeleSystems OJSC as below:

MBT Mobile TeleSystems OJSC Credit Rating Overview


We rerate MBT Mobile TeleSystems OJSC because the company faces substantial refinancing risk given significant maturities. We use econometric methods for period (n+15) simulate with Modified (Smoothed) Moving Average Sign Test. Reference code is: 2005. Beta DRL value REG 24 Rational Demand Factor LD 6177.3516. We do not exclude cash that the company needs to maintain to run the business and meet potential working capital requirements. Since working capital outflows are included under uses (B) of liquidity, system-related cash needed to run the business should be included in sources, along with items such as customer advances. 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 MBT Mobile TeleSystems OJSC as below:
Frequently Asked QuestionsQ: What is MBT Mobile TeleSystems OJSC stock symbol?
A: MBT Mobile TeleSystems OJSC stock referred as NYSE:MBT
Q: What is MBT Mobile TeleSystems OJSC stock price?
A: On share of MBT Mobile TeleSystems OJSC stock can currently be purchased for approximately 8.67
Q: Do analysts recommend investors buy shares of MBT Mobile TeleSystems OJSC ?
A: 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. View Machine Learning based technical analysis for MBT Mobile TeleSystems OJSC at daily forecast section
Q: What is the earning per share of MBT Mobile TeleSystems OJSC ?
A: The earning per share of MBT Mobile TeleSystems OJSC is 0.83
Q: What is the market capitalization of MBT Mobile TeleSystems OJSC ?
A: The market capitalization of MBT Mobile TeleSystems OJSC is 645876949434
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Disclaimers: AC Investment Inc. currently does not act as an equities executing broker, credit rating agency or route orders containing equities securities. In our Machine Learning experiment, we focus on an approach known as Decision making using game theory. We apply principles from game theory to model the relationships between rating actions, news, market signals and decision making.The rating information provided is for informational, non-commercial purposes only, does not constitute investment advice and is subject to conditions available in our Legal Disclaimer. Usage as a credit rating or as a benchmark is not permitted.

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