Dominant Strategy : Hold
Time series to forecast n: 06 Jun 2023 for 16 Weeks
Methodology : Modular Neural Network (CNN Layer)
Abstract
Pembina Pipeline Corp. Ordinary Shares (Canada) prediction model is evaluated with Modular Neural Network (CNN Layer) and Paired T-Test1,2,3,4 and it is concluded that the PBA stock is predictable in the short/long term. According to price forecasts for 16 Weeks period, the dominant strategy among neural network is: HoldKey Points
- How do predictive algorithms actually work?
- Can machine learning predict?
- What statistical methods are used to analyze data?
PBA Target Price Prediction Modeling Methodology
We consider Pembina Pipeline Corp. Ordinary Shares (Canada) Decision Process with Modular Neural Network (CNN Layer) where A is the set of discrete actions of PBA 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(Paired T-Test)5,6,7= X R(Modular Neural Network (CNN Layer)) X S(n):→ 16 Weeks
n:Time series to forecast
p:Price signals of PBA 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?
PBA Stock Forecast (Buy or Sell) for 16 Weeks
Sample Set: Neural NetworkStock/Index: PBA Pembina Pipeline Corp. Ordinary Shares (Canada)
Time series to forecast n: 06 Jun 2023 for 16 Weeks
According to price forecasts for 16 Weeks period, the dominant strategy among neural network is: Hold
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 (Grey to Black): *Technical Analysis%
IFRS Reconciliation Adjustments for Pembina Pipeline Corp. Ordinary Shares (Canada)
- However, depending on the nature of the financial instruments and the credit risk information available for particular groups of financial instruments, an entity may not be able to identify significant changes in credit risk for individual financial instruments before the financial instrument becomes past due. This may be the case for financial instruments such as retail loans for which there is little or no updated credit risk information that is routinely obtained and monitored on an individual instrument until a customer breaches the contractual terms. If changes in the credit risk for individual financial instruments are not captured before they become past due, a loss allowance based only on credit information at an individual financial instrument level would not faithfully represent the changes in credit risk since initial recognition.
- All investments in equity instruments and contracts on those instruments must be measured at fair value. However, in limited circumstances, cost may be an appropriate estimate of fair value. That may be the case if insufficient more recent information is available to measure fair value, or if there is a wide range of possible fair value measurements and cost represents the best estimate of fair value within that range.
- When designating risk components as hedged items, an entity considers whether the risk components are explicitly specified in a contract (contractually specified risk components) or whether they are implicit in the fair value or the cash flows of an item of which they are a part (noncontractually specified risk components). Non-contractually specified risk components can relate to items that are not a contract (for example, forecast transactions) or contracts that do not explicitly specify the component (for example, a firm commitment that includes only one single price instead of a pricing formula that references different underlyings)
- For example, Entity A, whose functional currency is its local currency, has a firm commitment to pay FC150,000 for advertising expenses in nine months' time and a firm commitment to sell finished goods for FC150,000 in 15 months' time. Entity A enters into a foreign currency derivative that settles in nine months' time under which it receives FC100 and pays CU70. Entity A has no other exposures to FC. Entity A does not manage foreign currency risk on a net basis. Hence, Entity A cannot apply hedge accounting for a hedging relationship between the foreign currency derivative and a net position of FC100 (consisting of FC150,000 of the firm purchase commitment—ie advertising services—and FC149,900 (of the FC150,000) of the firm sale commitment) for a nine-month period.
*International Financial Reporting Standards (IFRS) adjustment process involves reviewing the company's financial statements and identifying any differences between the company's current accounting practices and the requirements of the IFRS. If there are any such differences, neural network makes adjustments to financial statements to bring them into compliance with the IFRS.
Conclusions
Pembina Pipeline Corp. Ordinary Shares (Canada) is assigned short-term Ba1 & long-term Ba1 estimated rating. Pembina Pipeline Corp. Ordinary Shares (Canada) prediction model is evaluated with Modular Neural Network (CNN Layer) and Paired T-Test1,2,3,4 and it is concluded that the PBA stock is predictable in the short/long term. According to price forecasts for 16 Weeks period, the dominant strategy among neural network is: Hold
PBA Pembina Pipeline Corp. Ordinary Shares (Canada) Financial Analysis*
Rating | Short-Term | Long-Term Senior |
---|---|---|
Outlook* | Ba1 | Ba1 |
Income Statement | Caa2 | B3 |
Balance Sheet | C | Caa2 |
Leverage Ratios | B3 | Ba3 |
Cash Flow | Baa2 | Caa2 |
Rates of Return and Profitability | Baa2 | C |
*Financial analysis is the process of evaluating a company's financial performance and position by neural network. It involves reviewing the company's financial statements, including the balance sheet, income statement, and cash flow statement, as well as other financial reports and documents.
How does neural network examine financial reports and understand financial state of the company?
Prediction Confidence Score

References
- R. Sutton and A. Barto. Introduction to reinforcement learning. MIT Press, 1998
- Çetinkaya, A., Zhang, Y.Z., Hao, Y.M. and Ma, X.Y., When to Sell and When to Hold FTNT Stock. AC Investment Research Journal, 101(3).
- J. G. Schneider, W. Wong, A. W. Moore, and M. A. Riedmiller. Distributed value functions. In Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27 - 30, 1999, pages 371–378, 1999.
- Chen, C. L. Liu (1993), "Joint estimation of model parameters and outlier effects in time series," Journal of the American Statistical Association, 88, 284–297.
- P. Marbach. Simulated-Based Methods for Markov Decision Processes. PhD thesis, Massachusetts Institute of Technology, 1998
- Miller A. 2002. Subset Selection in Regression. New York: CRC Press
- Abadie A, Imbens GW. 2011. Bias-corrected matching estimators for average treatment effects. J. Bus. Econ. Stat. 29:1–11
Frequently Asked Questions
Q: What is the prediction methodology for PBA stock?A: PBA stock prediction methodology: We evaluate the prediction models Modular Neural Network (CNN Layer) and Paired T-Test
Q: Is PBA stock a buy or sell?
A: The dominant strategy among neural network is to Hold PBA Stock.
Q: Is Pembina Pipeline Corp. Ordinary Shares (Canada) stock a good investment?
A: The consensus rating for Pembina Pipeline Corp. Ordinary Shares (Canada) is Hold and is assigned short-term Ba1 & long-term Ba1 estimated rating.
Q: What is the consensus rating of PBA stock?
A: The consensus rating for PBA is Hold.
Q: What is the prediction period for PBA stock?
A: The prediction period for PBA is 16 Weeks
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