CBMB CBM Bancorp Stock Forecast Period (n+6m) 15 Feb 2021


Stock Forecast


As of Sat Feb 13 2021 00:00:03 GMT+0000 (Coordinated Universal Time) shares of CBMB CBM Bancorp 0.21 percentage change in price since the previous day's close. Around 8163 of 3713000 changed hand on the market. The Stock opened at 14.06 with high and low of 14 and 14.06 respectively. The price/earnings ratio is: 72.1 and earning per share is 0.19. The stock quoted a 52 week high and low of 10.61 and 15.05 respectively.

BOSTON (AI Forecast Terminal) Mon, Feb 15, '21 AI Forecast today took the forecast actions: In the context of stock price realization of CBMB CBM Bancorp 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+6m) for CBMB CBM Bancorp 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 CBMB CBM Bancorp as below:

CBMB CBM Bancorp Credit Rating Overview


We rerate CBMB CBM Bancorp because of a weaker market position, higher risk, or more confidence-sensitive mix of business is only partially offset by any strengths, and this leads us to expect weaker revenue stability relative to peers, thus demonstrating modest incremental risk above what is captured in the anchor. We use econometric methods for period (n+6m) simulate with Simple Moving Average (SMA) Simple Regression. Reference code is: 3227. Beta DRL value REG 40 Rational Demand Factor LD 6186.0834. 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 risk map for CBMB CBM Bancorp as below:
Frequently Asked QuestionsQ: What is CBMB CBM Bancorp stock symbol?
A: CBMB CBM Bancorp stock referred as NASDAQ:CBMB
Q: What is CBMB CBM Bancorp stock price?
A: On share of CBMB CBM Bancorp stock can currently be purchased for approximately 14.03
Q: Do analysts recommend investors buy shares of CBMB CBM Bancorp ?
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 CBMB CBM Bancorp at daily forecast section
Q: What is the earning per share of CBMB CBM Bancorp ?
A: The earning per share of CBMB CBM Bancorp is 0.19
Q: What is the market capitalization of CBMB CBM Bancorp ?
A: The market capitalization of CBMB CBM Bancorp is 52093389
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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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