Modelling A.I. in Economics

EOG:TSXV Eco (Atlantic) Oil & Gas Ltd. Stock Forecast

Eco (Atlantic) Oil & Gas Ltd. Research Report

Summary

The stock market has been an attractive field for a large number of organizers and investors to derive useful predictions. Fundamental knowledge of stock market can be utilised with technical indicators to investigate different perspectives of the financial market; also, the influence of various events, financial news, and/or opinions on investors' decisions and hence, market trends have been observed. Such information can be exploited to make reliable predictions and achieve higher profitability. Computational intelligence has emerged with various deep neural network (DNN) techniques to address complex stock market problems. We evaluate Eco (Atlantic) Oil & Gas Ltd. prediction models with Transductive Learning (ML) and Factor1,2,3,4 and conclude that the EOG:TSXV stock is predictable in the short/long term. According to price forecasts for (n+1 year) period: The dominant strategy among neural network is to Hold EOG:TSXV stock.

Key Points

  1. How do predictive algorithms actually work?
  2. What are the most successful trading algorithms?
  3. How can neural networks improve predictions?

EOG:TSXV Target Price Prediction Modeling Methodology

We consider Eco (Atlantic) Oil & Gas Ltd. Stock Decision Process with Transductive Learning (ML) where A is the set of discrete actions of EOG:TSXV stock holders, F is the set of discrete states, P : S × F × S → R is the transition probability distribution, R : S × F → R is the reaction function, and γ ∈ [0, 1] is a move factor for expectation.1,2,3,4


F(Factor)5,6,7= p a 1 p a 2 p 1 n p j 1 p j 2 p j n p k 1 p k 2 p k n p n 1 p n 2 p n n X R(Transductive Learning (ML)) X S(n):→ (n+1 year) r s rs

n:Time series to forecast

p:Price signals of EOG:TSXV stock

j:Nash equilibria (Neural Network)

k:Dominated move

a:Best response for target price

 

For further technical information as per how our model work we invite you to visit the article below: 

How do AC Investment Research machine learning (predictive) algorithms actually work?

EOG:TSXV Stock Forecast (Buy or Sell) for (n+1 year)

Sample Set: Neural Network
Stock/Index: EOG:TSXV Eco (Atlantic) Oil & Gas Ltd.
Time series to forecast n: 26 Nov 2022 for (n+1 year)

According to price forecasts for (n+1 year) period: The dominant strategy among neural network is to Hold EOG:TSXV stock.

X axis: *Likelihood% (The higher the percentage value, the more likely the event will occur.)

Y axis: *Potential Impact% (The higher the percentage value, the more likely the price will deviate.)

Z axis (Yellow to Green): *Technical Analysis%

Adjusted IFRS* Prediction Methods for Eco (Atlantic) Oil & Gas Ltd.

  1. If changes are made in addition to those changes required by interest rate benchmark reform to the financial asset or financial liability designated in a hedging relationship (as described in paragraphs 5.4.6–5.4.8) or to the designation of the hedging relationship (as required by paragraph 6.9.1), an entity shall first apply the applicable requirements in this Standard to determine if those additional changes result in the discontinuation of hedge accounting. If the additional changes do not result in the discontinuation of hedge accounting, an entity shall amend the formal designation of the hedging relationship as specified in paragraph 6.9.1.
  2. In applying the effective interest method, an entity identifies fees that are an integral part of the effective interest rate of a financial instrument. The description of fees for financial services may not be indicative of the nature and substance of the services provided. Fees that are an integral part of the effective interest rate of a financial instrument are treated as an adjustment to the effective interest rate, unless the financial instrument is measured at fair value, with the change in fair value being recognised in profit or loss. In those cases, the fees are recognised as revenue or expense when the instrument is initially recognised.
  3. However, in some cases, the time value of money element may be modified (ie imperfect). That would be the case, for example, if a financial asset's interest rate is periodically reset but the frequency of that reset does not match the tenor of the interest rate (for example, the interest rate resets every month to a one-year rate) or if a financial asset's interest rate is periodically reset to an average of particular short- and long-term interest rates. In such cases, an entity must assess the modification to determine whether the contractual cash flows represent solely payments of principal and interest on the principal amount outstanding. In some circumstances, the entity may be able to make that determination by performing a qualitative assessment of the time value of money element whereas, in other circumstances, it may be necessary to perform a quantitative assessment.
  4. An entity that first applies IFRS 17 as amended in June 2020 after it first applies this Standard shall apply paragraphs 7.2.39–7.2.42. The entity shall also apply the other transition requirements in this Standard necessary for applying these amendments. For that purpose, references to the date of initial application shall be read as referring to the beginning of the reporting period in which an entity first applies these amendments (date of initial application of these amendments).

*International Financial Reporting Standards (IFRS) are a set of accounting rules for the financial statements of public companies that are intended to make them consistent, transparent, and easily comparable around the world.

Conclusions

Eco (Atlantic) Oil & Gas Ltd. assigned short-term Ba2 & long-term B1 forecasted stock rating. We evaluate the prediction models Transductive Learning (ML) with Factor1,2,3,4 and conclude that the EOG:TSXV stock is predictable in the short/long term. According to price forecasts for (n+1 year) period: The dominant strategy among neural network is to Hold EOG:TSXV stock.

Financial State Forecast for EOG:TSXV Eco (Atlantic) Oil & Gas Ltd. Stock Options & Futures

Rating Short-Term Long-Term Senior
Outlook*Ba2B1
Operational Risk 8646
Market Risk6676
Technical Analysis7663
Fundamental Analysis5832
Risk Unsystematic6078

Prediction Confidence Score

Trust metric by Neural Network: 90 out of 100 with 653 signals.

References

  1. Swaminathan A, Joachims T. 2015. Batch learning from logged bandit feedback through counterfactual risk minimization. J. Mach. Learn. Res. 16:1731–55
  2. G. Konidaris, S. Osentoski, and P. Thomas. Value function approximation in reinforcement learning using the Fourier basis. In AAAI, 2011
  3. Challen, D. W. A. J. Hagger (1983), Macroeconomic Systems: Construction, Validation and Applications. New York: St. Martin's Press.
  4. Imbens GW, Lemieux T. 2008. Regression discontinuity designs: a guide to practice. J. Econom. 142:615–35
  5. C. Wu and Y. Lin. Minimizing risk models in Markov decision processes with policies depending on target values. Journal of Mathematical Analysis and Applications, 231(1):47–67, 1999
  6. Athey S, Wager S. 2017. Efficient policy learning. arXiv:1702.02896 [math.ST]
  7. Chernozhukov V, Chetverikov D, Demirer M, Duflo E, Hansen C, Newey W. 2017. Double/debiased/ Neyman machine learning of treatment effects. Am. Econ. Rev. 107:261–65
Frequently Asked QuestionsQ: What is the prediction methodology for EOG:TSXV stock?
A: EOG:TSXV stock prediction methodology: We evaluate the prediction models Transductive Learning (ML) and Factor
Q: Is EOG:TSXV stock a buy or sell?
A: The dominant strategy among neural network is to Hold EOG:TSXV Stock.
Q: Is Eco (Atlantic) Oil & Gas Ltd. stock a good investment?
A: The consensus rating for Eco (Atlantic) Oil & Gas Ltd. is Hold and assigned short-term Ba2 & long-term B1 forecasted stock rating.
Q: What is the consensus rating of EOG:TSXV stock?
A: The consensus rating for EOG:TSXV is Hold.
Q: What is the prediction period for EOG:TSXV stock?
A: The prediction period for EOG:TSXV is (n+1 year)

Premium

  • Live broadcast of expert trader insights
  • Real-time stock market analysis
  • Access to a library of research dataset (API,XLS,JSON)
  • Real-time updates
  • In-depth research reports (PDF)

Login
This project is licensed under the license; additional terms may apply.