Abstract
We evaluate Global Payments prediction models with Deductive Inference (ML) and Multiple Regression1,2,3,4 and conclude that the GPN stock is predictable in the short/long term. According to price forecasts for (n+4 weeks) period: The dominant strategy among neural network is to Hold GPN stock.
Keywords: GPN, Global Payments, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.
Key Points
- Operational Risk
- Stock Rating
- Trading Interaction

GPN Target Price Prediction Modeling Methodology
We consider Global Payments Stock Decision Process with Multiple Regression where A is the set of discrete actions of GPN 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(Multiple Regression)5,6,7= X R(Deductive Inference (ML)) X S(n):→ (n+4 weeks)
n:Time series to forecast
p:Price signals of GPN stock
j:Nash equilibria
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?
GPN Stock Forecast (Buy or Sell) for (n+4 weeks)
Sample Set: Neural NetworkStock/Index: GPN Global Payments
Time series to forecast n: 07 Sep 2022 for (n+4 weeks)
According to price forecasts for (n+4 weeks) period: The dominant strategy among neural network is to Hold GPN 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%
Conclusions
Global Payments assigned short-term Ba3 & long-term B1 forecasted stock rating. We evaluate the prediction models Deductive Inference (ML) with Multiple Regression1,2,3,4 and conclude that the GPN stock is predictable in the short/long term. According to price forecasts for (n+4 weeks) period: The dominant strategy among neural network is to Hold GPN stock.
Financial State Forecast for GPN Stock Options & Futures
Rating | Short-Term | Long-Term Senior |
---|---|---|
Outlook* | Ba3 | B1 |
Operational Risk | 86 | 43 |
Market Risk | 37 | 87 |
Technical Analysis | 68 | 78 |
Fundamental Analysis | 64 | 30 |
Risk Unsystematic | 76 | 51 |
Prediction Confidence Score
References
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- uyer, S. Whiteson, B. Bakker, and N. A. Vlassis. Multiagent reinforcement learning for urban traffic control using coordination graphs. In Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I, pages 656–671, 2008.
- Chow, G. C. (1960), "Tests of equality between sets of coefficients in two linear regressions," Econometrica, 28, 591–605.
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- Belloni A, Chernozhukov V, Hansen C. 2014. High-dimensional methods and inference on structural and treatment effects. J. Econ. Perspect. 28:29–50
Frequently Asked Questions
Q: What is the prediction methodology for GPN stock?A: GPN stock prediction methodology: We evaluate the prediction models Deductive Inference (ML) and Multiple Regression
Q: Is GPN stock a buy or sell?
A: The dominant strategy among neural network is to Hold GPN Stock.
Q: Is Global Payments stock a good investment?
A: The consensus rating for Global Payments is Hold and assigned short-term Ba3 & long-term B1 forecasted stock rating.
Q: What is the consensus rating of GPN stock?
A: The consensus rating for GPN is Hold.
Q: What is the prediction period for GPN stock?
A: The prediction period for GPN is (n+4 weeks)