Jagran Prakashan Ltd. Stock Forecast Period (n+30) 23 May 2020


Stock Forecast


As of Fri May 22 2020 15:30:00 GMT+0000 (Coordinated Universal Time) shares of Jagran Prakashan Ltd. 2.53 percentage change in price since the previous day's close. Around 85693 of 296411840 changed hand on the market. The Stock opened at 37.9 with high and low of 37.05 and 38.75 respectively. The price/earnings ratio is: 3.48 and earning per share is 11.08. The stock quoted a 52 week high and low of 32.1 and 119.7 respectively.

BOSTON (AI Forecast Terminal) Sat, May 23, '20 AI Forecast today took the forecast actions: In the context of stock price realization of Jagran Prakashan 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+30) for Jagran Prakashan 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 Jagran Prakashan Ltd. as below:

Jagran Prakashan Ltd. Credit Rating Overview


We rerate Jagran Prakashan Ltd. 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+30) simulate with Tri-tet Oscillators ElasticNet Regression. Reference code is: 3025. Beta DRL value REG 30 Rational Demand Factor LD 4146.6348. We do not treat repayments of leases as debt maturities (even if International Financial Reporting Standard 16 shows them as such in the cash flow statement) because we already have reduced FFO by such lease cash outflow. 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 Jagran Prakashan Ltd. as below:
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