Dominant Strategy : Buy
Time series to forecast n: 06 Jun 2023 for 6 Month
Methodology : Modular Neural Network (Social Media Sentiment Analysis)
Abstract
COCA-COLA EUROPACIFIC PARTNERS PLC prediction model is evaluated with Modular Neural Network (Social Media Sentiment Analysis) and Beta1,2,3,4 and it is concluded that the LON:CCEP stock is predictable in the short/long term. According to price forecasts for 6 Month period, the dominant strategy among neural network is: BuyKey Points
- What are buy sell or hold recommendations?
- Market Risk
- Trust metric by Neural Network
LON:CCEP Target Price Prediction Modeling Methodology
We consider COCA-COLA EUROPACIFIC PARTNERS PLC Decision Process with Modular Neural Network (Social Media Sentiment Analysis) where A is the set of discrete actions of LON:CCEP 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(Beta)5,6,7= X R(Modular Neural Network (Social Media Sentiment Analysis)) X S(n):→ 6 Month
n:Time series to forecast
p:Price signals of LON:CCEP 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?
LON:CCEP Stock Forecast (Buy or Sell) for 6 Month
Sample Set: Neural NetworkStock/Index: LON:CCEP COCA-COLA EUROPACIFIC PARTNERS PLC
Time series to forecast n: 06 Jun 2023 for 6 Month
According to price forecasts for 6 Month period, the dominant strategy among neural network is: Buy
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 COCA-COLA EUROPACIFIC PARTNERS PLC
- In cases such as those described in the preceding paragraph, to designate, at initial recognition, the financial assets and financial liabilities not otherwise so measured as at fair value through profit or loss may eliminate or significantly reduce the measurement or recognition inconsistency and produce more relevant information. For practical purposes, the entity need not enter into all of the assets and liabilities giving rise to the measurement or recognition inconsistency at exactly the same time. A reasonable delay is permitted provided that each transaction is designated as at fair value through profit or loss at its initial recognition and, at that time, any remaining transactions are expected to occur.
- If, at the date of initial application, it is impracticable (as defined in IAS 8) for an entity to assess a modified time value of money element in accordance with paragraphs B4.1.9B–B4.1.9D on the basis of the facts and circumstances that existed at the initial recognition of the financial asset, an entity shall assess the contractual cash flow characteristics of that financial asset on the basis of the facts and circumstances that existed at the initial recognition of the financial asset without taking into account the requirements related to the modification of the time value of money element in paragraphs B4.1.9B–B4.1.9D. (See also paragraph 42R of IFRS 7.)
- When measuring the fair values of the part that continues to be recognised and the part that is derecognised for the purposes of applying paragraph 3.2.13, an entity applies the fair value measurement requirements in IFRS 13 Fair Value Measurement in addition to paragraph 3.2.14.
- The methods used to determine whether credit risk has increased significantly on a financial instrument since initial recognition should consider the characteristics of the financial instrument (or group of financial instruments) and the default patterns in the past for comparable financial instruments. Despite the requirement in paragraph 5.5.9, for financial instruments for which default patterns are not concentrated at a specific point during the expected life of the financial instrument, changes in the risk of a default occurring over the next 12 months may be a reasonable approximation of the changes in the lifetime risk of a default occurring. In such cases, an entity may use changes in the risk of a default occurring over the next 12 months to determine whether credit risk has increased significantly since initial recognition, unless circumstances indicate that a lifetime assessment is necessary
*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
COCA-COLA EUROPACIFIC PARTNERS PLC is assigned short-term Ba1 & long-term Ba1 estimated rating. COCA-COLA EUROPACIFIC PARTNERS PLC prediction model is evaluated with Modular Neural Network (Social Media Sentiment Analysis) and Beta1,2,3,4 and it is concluded that the LON:CCEP stock is predictable in the short/long term. According to price forecasts for 6 Month period, the dominant strategy among neural network is: Buy
LON:CCEP COCA-COLA EUROPACIFIC PARTNERS PLC Financial Analysis*
Rating | Short-Term | Long-Term Senior |
---|---|---|
Outlook* | Ba1 | Ba1 |
Income Statement | Baa2 | C |
Balance Sheet | C | Caa2 |
Leverage Ratios | Baa2 | Baa2 |
Cash Flow | Ba3 | B3 |
Rates of Return and Profitability | Caa2 | Ba3 |
*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
- Bastani H, Bayati M. 2015. Online decision-making with high-dimensional covariates. Work. Pap., Univ. Penn./ Stanford Grad. School Bus., Philadelphia/Stanford, CA
- K. Boda and J. Filar. Time consistent dynamic risk measures. Mathematical Methods of Operations Research, 63(1):169–186, 2006
- Mikolov T, Yih W, Zweig G. 2013c. Linguistic regularities in continuous space word representations. In Pro- ceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 746–51. New York: Assoc. Comput. Linguist.
- Challen, D. W. A. J. Hagger (1983), Macroeconomic Systems: Construction, Validation and Applications. New York: St. Martin's Press.
- K. Tumer and D. Wolpert. A survey of collectives. In K. Tumer and D. Wolpert, editors, Collectives and the Design of Complex Systems, pages 1–42. Springer, 2004.
- Farrell MH, Liang T, Misra S. 2018. Deep neural networks for estimation and inference: application to causal effects and other semiparametric estimands. arXiv:1809.09953 [econ.EM]
- Wager S, Athey S. 2017. Estimation and inference of heterogeneous treatment effects using random forests. J. Am. Stat. Assoc. 113:1228–42
Frequently Asked Questions
Q: What is the prediction methodology for LON:CCEP stock?A: LON:CCEP stock prediction methodology: We evaluate the prediction models Modular Neural Network (Social Media Sentiment Analysis) and Beta
Q: Is LON:CCEP stock a buy or sell?
A: The dominant strategy among neural network is to Buy LON:CCEP Stock.
Q: Is COCA-COLA EUROPACIFIC PARTNERS PLC stock a good investment?
A: The consensus rating for COCA-COLA EUROPACIFIC PARTNERS PLC is Buy and is assigned short-term Ba1 & long-term Ba1 estimated rating.
Q: What is the consensus rating of LON:CCEP stock?
A: The consensus rating for LON:CCEP is Buy.
Q: What is the prediction period for LON:CCEP stock?
A: The prediction period for LON:CCEP is 6 Month
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