Procter & Gamble Hygiene & Health Care Ltd. Stock Forecast Period (n+15) 22 May 2020


Stock Forecast


As of Fri May 22 2020 15:30:00 GMT+0000 (Coordinated Universal Time) shares of Procter & Gamble Hygiene & Health Care Ltd. -0.27 percentage change in price since the previous day's close. Around 956 of 32460736 changed hand on the market. The Stock opened at 9982 with high and low of 9925.05 and 10039.95 respectively. The price/earnings ratio is: 76.05 and earning per share is 130.84. The stock quoted a 52 week high and low of 8400 and 12774.9 respectively.

BOSTON (AI Forecast Terminal) Fri, May 22, '20 AI Forecast today took the forecast actions: In the context of stock price realization of Procter & Gamble Hygiene & Health Care 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+15) for Procter & Gamble Hygiene & Health Care 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 Procter & Gamble Hygiene & Health Care Ltd. as below:

Procter & Gamble Hygiene & Health Care Ltd. Credit Rating Overview


We rerate Procter & Gamble Hygiene & Health Care Ltd. 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+15) simulate with Moving Average Convergence Divergence (MACD) Lasso Regression. Reference code is: 3887. Beta DRL value REG 22 Rational Demand Factor LD 4146.6348. In our assessment of a company's liquidity, we also consider the impact of unique industry characteristics. 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 Procter & Gamble Hygiene & Health Care Ltd. as below:
Frequently Asked Questions Q:What is the credit rating id for this company?
A:6692975596184797867
Q:What is the credit rating date for this company?
A:Friday, May 22, 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.
We work across the world

From London to San Francisco, to our home base in (Saint Helier) Jersey, we’re looking for extraordinary and creative scientists to help us drive the field forward.

AC Investment Inc. currently does not act as an equities executing broker or route orders containing equities securities. If AC Invest’s business model were to change and it begins routing non-directed orders in NMS securities, it will comply with the disclosure requirement of Rule 606.

77 Massachusetts Avenue Cambridge, MA 02139 617-253-1000 pr@ademcetinkaya.com