Union Bank of India Stock Forecast Outlook:Negative Period (n+1y) 23 May 2020


Stock Forecast


As of Fri May 22 2020 15:30:00 GMT+0000 (Coordinated Universal Time) shares of Union Bank of India -1.29 percentage change in price since the previous day's close. Around 3422439 of 1168573440 changed hand on the market. The Stock opened at 23.2 with high and low of 22.65 and 23.6 respectively. The price/earnings ratio is: #N/A and earning per share is -31.44. The stock quoted a 52 week high and low of 22.65 and 86.6 respectively.

BOSTON (AI Forecast Terminal) Sat, May 23, '20 AI Forecast today took the forecast actions: In the context of stock price realization of Union Bank of India 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 Union Bank of India 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 Union Bank of India as below:

Union Bank of India Credit Rating Overview


We rerate Union Bank of India because In addition to the risk weight based on revenues by business line, we apply a risk weight of 6.25% to cash and money market . We use econometric methods for period (n+1y) simulate with Envelope (ENV) Multiple Regression. Reference code is: 2871. Beta DRL value REG 39 Rational Demand Factor LD 4146.6348. Shared facilities with captive finance entities. When an issuer has a shared revolving credit facility with a captive finance entity, for purposes of calculating the issuer's liquidity sources, we net outstanding commercial paper at the captive from the revolver's borrowing availability. In these cases, we generally use an estimate of peak CP borrowings at the captive to avoid potentially overstating sources available to the issuer over a 12- to 24-month period. 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 Union Bank of India as below:
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