WAFD Washington Federal Stock Forecast Period (n+15) 22 Feb 2021


Stock Forecast


As of Sat Feb 20 2021 00:00:02 GMT+0000 (Coordinated Universal Time) shares of WAFD Washington Federal 1.11 percentage change in price since the previous day's close. Around 0 of 75891000 changed hand on the market. The Stock opened at 29.96 with high and low of 29.86 and 30.34 respectively. The price/earnings ratio is: 15.63 and earning per share is 1.93. The stock quoted a 52 week high and low of 20.01 and 35.18 respectively.

BOSTON (AI Forecast Terminal) Mon, Feb 22, '21 AI Forecast today took the forecast actions: In the context of stock price realization of WAFD Washington Federal 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 WAFD Washington Federal 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 WAFD Washington Federal as below:

WAFD Washington Federal Credit Rating Overview


We rerate WAFD Washington Federal because the liabilities' resolution-driven default is unlikely because of all of the following: The type of liability is earmarked in the resolution framework for potential exclusion from bail-in at the discretion of the national regulator, other creditors in our view are unlikely to legally challenge such an exclusion. We use econometric methods for period (n+15) simulate with Anomaly Polynomial Regression. Reference code is: 3926. Beta DRL value REG 45 Rational Demand Factor LD 6177.3516. Given the earnings volatility companies experience, we have specified for these issuers a more stringent decline in EBITDA percentage for each liquidity category to the extent our cash flow forecasts are not already assuming a downside scenario. 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 WAFD Washington Federal as below:
Frequently Asked QuestionsQ: What is WAFD Washington Federal stock symbol?
A: WAFD Washington Federal stock referred as NASDAQ:WAFD
Q: What is WAFD Washington Federal stock price?
A: On share of WAFD Washington Federal stock can currently be purchased for approximately 30.14
Q: Do analysts recommend investors buy shares of WAFD Washington Federal ?
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 WAFD Washington Federal at daily forecast section
Q: What is the earning per share of WAFD Washington Federal ?
A: The earning per share of WAFD Washington Federal is 1.93
Q: What is the market capitalization of WAFD Washington Federal ?
A: The market capitalization of WAFD Washington Federal is 2287354693
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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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