Whirlpool of India Ltd. Stock Forecast Period (n+6m) 20 May 2020


Stock Forecast


As of Wed May 20 2020 15:30:00 GMT+0000 (Coordinated Universal Time) shares of Whirlpool of India Ltd. 2.43 percentage change in price since the previous day's close. Around 24818 of 126870000 changed hand on the market. The Stock opened at 1837.9 with high and low of 1820 and 1875 respectively. The price/earnings ratio is: 47.08 and earning per share is 39.65. The stock quoted a 52 week high and low of 1343.8 and 2555 respectively.

BOSTON (AI Forecast Terminal) Wed, May 20, '20 AI Forecast today took the forecast actions: In the context of stock price realization of Whirlpool of India 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+6m) for Whirlpool of India 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 Whirlpool of India Ltd. as below:

Whirlpool of India Ltd. Credit Rating Overview


We rerate Whirlpool of India 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+6m) simulate with Sustainability Wilcoxon Sign-Rank Test. Reference code is: 3620. Beta DRL value REG 28 Rational Demand Factor LD 4131.4349999999995. In this scenario, we would still include the existing debt maturity as a use of liquidity in our A/B and A-B calculations, if the debt matures within the corresponding liquidity horizon. The rationale is that our liquidity assessment is essentially a stress test against a sudden and severe loss of capital markets access availability. For companies with an anchor of at least 'bbb-' that meet certain characteristics, as outlined in paragraphs 38 and 39 of the criteria, we may use a shorter three- to six-month time horizon when assessing upcoming maturities. 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 Whirlpool of India Ltd. as below:
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