KOF Stock: The Stock Market Is a Time Bomb

Outlook: Coca Cola Femsa S.A.B. de C.V. American Depositary Shares each representing 10 Units (each Unit consists of 3 Series B Shares and 5 Series L Shares) is assigned short-term B3 & long-term B1 estimated rating.
AUC Score : What is AUC Score?
Short-Term Revised :
Dominant Strategy : Sell
Time series to forecast n: for 6 Month
Methodology : Modular Neural Network (Market News Sentiment Analysis)
Hypothesis Testing : Stepwise Regression
Surveillance : Major exchange and OTC

Summary

Coca Cola Femsa S.A.B. de C.V. American Depositary Shares each representing 10 Units (each Unit consists of 3 Series B Shares and 5 Series L Shares) prediction model is evaluated with Modular Neural Network (Market News Sentiment Analysis) and Stepwise Regression^1,2,3,4 and it is concluded that the KOF stock is predictable in the short/long term. A modular neural network (MNN) is a type of artificial neural network that can be used for news feed sentiment analysis. MNNs are made up of multiple smaller neural networks, called modules. Each module is responsible for learning a specific task, such as identifying sentiment in text or identifying patterns in data. The modules are then combined to form a single neural network that can perform multiple tasks. In the context of news feed sentiment analysis, MNNs can be used to identify the sentiment of news articles, social media posts, and other forms of online content. This information can then be used to filter out irrelevant or unwanted content, to identify trends in public opinion, and to target users with relevant advertising. According to price forecasts for 6 Month period, the dominant strategy among neural network is: Sell

Key Points

1. Can statistics predict the future?
2. Fundemental Analysis with Algorithmic Trading
3. Trading Signals

KOF Target Price Prediction Modeling Methodology

We consider Coca Cola Femsa S.A.B. de C.V. American Depositary Shares each representing 10 Units (each Unit consists of 3 Series B Shares and 5 Series L Shares) Decision Process with Modular Neural Network (Market News Sentiment Analysis) where A is the set of discrete actions of KOF 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(Stepwise Regression)^5,6,7= $\begin{array}{cccc}{p}_{\mathrm{a}1}& p_{\mathrm{a}2}& \dots & p_{1n}\\ & ⋮\\ p_{j1}& p_{j2}& \dots & p_{jn}\\ & ⋮\\ p_{k1}& p_{k2}& \dots & p_{kn}\\ & ⋮\\ p_{n1}& p_{n2}& \dots & p_{nn}\end{array}$ X R(Modular Neural Network (Market News Sentiment Analysis)) X S(n):→ 6 Month $\begin{array}{l}\int e^x\mathrm{rx}\end{array}$

n:Time series to forecast

p:Price signals of KOF stock

j:Nash equilibria (Neural Network)

k:Dominated move

a:Best response for target price

Modular Neural Network (Market News Sentiment Analysis)

A modular neural network (MNN) is a type of artificial neural network that can be used for news feed sentiment analysis. MNNs are made up of multiple smaller neural networks, called modules. Each module is responsible for learning a specific task, such as identifying sentiment in text or identifying patterns in data. The modules are then combined to form a single neural network that can perform multiple tasks. In the context of news feed sentiment analysis, MNNs can be used to identify the sentiment of news articles, social media posts, and other forms of online content. This information can then be used to filter out irrelevant or unwanted content, to identify trends in public opinion, and to target users with relevant advertising.

Stepwise Regression

Stepwise regression is a method of variable selection in which variables are added or removed from a model one at a time, based on their statistical significance. There are two main types of stepwise regression: forward selection and backward elimination. In forward selection, variables are added to the model one at a time, starting with the variable with the highest F-statistic. The F-statistic is a measure of how much improvement in the model is gained by adding the variable. Variables are added to the model until no variable adds a statistically significant improvement to the model.

 

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?

KOF Stock Forecast (Buy or Sell) for 6 Month

Sample Set: Neural Network
Stock/Index: KOF Coca Cola Femsa S.A.B. de C.V. American Depositary Shares each representing 10 Units (each Unit consists of 3 Series B Shares and 5 Series L Shares)
Time series to forecast: 6 Month

According to price forecasts for 6 Month period, the dominant strategy among neural network is: Sell

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 Femsa S.A.B. de C.V. American Depositary Shares each representing 10 Units (each Unit consists of 3 Series B Shares and 5 Series L Shares)

1. If a call option right retained by an entity prevents a transferred asset from being derecognised and the entity measures the transferred asset at fair value, the asset continues to be measured at its fair value. The associated liability is measured at (i) the option exercise price less the time value of the option if the option is in or at the money, or (ii) the fair value of the transferred asset less the time value of the option if the option is out of the money. The adjustment to the measurement of the associated liability ensures that the net carrying amount of the asset and the associated liability is the fair value of the call option right. For example, if the fair value of the underlying asset is CU80, the option exercise price is CU95 and the time value of the option is CU5, the carrying amount of the associated liability is CU75 (CU80 – CU5) and the carrying amount of the transferred asset is CU80 (ie its fair value)
2. To make that determination, an entity must assess whether it expects that the effects of changes in the liability's credit risk will be offset in profit or loss by a change in the fair value of another financial instrument measured at fair value through profit or loss. Such an expectation must be based on an economic relationship between the characteristics of the liability and the characteristics of the other financial instrument.
3. For the purpose of recognising foreign exchange gains and losses under IAS 21, a financial asset measured at fair value through other comprehensive income in accordance with paragraph 4.1.2A is treated as a monetary item. Accordingly, such a financial asset is treated as an asset measured at amortised cost in the foreign currency. Exchange differences on the amortised cost are recognised in profit or loss and other changes in the carrying amount are recognised in accordance with paragraph 5.7.10.
4. If there is a hedging relationship between a non-derivative monetary asset and a non-derivative monetary liability, changes in the foreign currency component of those financial instruments are presented in profit or loss.

*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 Femsa S.A.B. de C.V. American Depositary Shares each representing 10 Units (each Unit consists of 3 Series B Shares and 5 Series L Shares) is assigned short-term B3 & long-term B1 estimated rating. Coca Cola Femsa S.A.B. de C.V. American Depositary Shares each representing 10 Units (each Unit consists of 3 Series B Shares and 5 Series L Shares) prediction model is evaluated with Modular Neural Network (Market News Sentiment Analysis) and Stepwise Regression^1,2,3,4 and it is concluded that the KOF stock is predictable in the short/long term. According to price forecasts for 6 Month period, the dominant strategy among neural network is: Sell

KOF Coca Cola Femsa S.A.B. de C.V. American Depositary Shares each representing 10 Units (each Unit consists of 3 Series B Shares and 5 Series L Shares) Financial Analysis*

Rating	Short-Term	Long-Term Senior
Outlook*	B3	B1
Income Statement	Caa2	Baa2
Balance Sheet	Caa2	B3
Leverage Ratios	C	Caa2
Cash Flow	Baa2	Caa2
Rates of Return and Profitability	Caa2	Baa2

*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

Trust metric by Neural Network: 79 out of 100 with 791 signals.

References

1. Bertsimas D, King A, Mazumder R. 2016. Best subset selection via a modern optimization lens. Ann. Stat. 44:813–52
2. Andrews, D. W. K. W. Ploberger (1994), "Optimal tests when a nuisance parameter is present only under the alternative," Econometrica, 62, 1383–1414.
3. Ruiz FJ, Athey S, Blei DM. 2017. SHOPPER: a probabilistic model of consumer choice with substitutes and complements. arXiv:1711.03560 [stat.ML]
4. Çetinkaya, A., Zhang, Y.Z., Hao, Y.M. and Ma, X.Y., Tempur Sealy Stock Forecast & Analysis. AC Investment Research Journal, 101(3).
5. Imai K, Ratkovic M. 2013. Estimating treatment effect heterogeneity in randomized program evaluation. Ann. Appl. Stat. 7:443–70
6. Dimakopoulou M, Zhou Z, Athey S, Imbens G. 2018. Balanced linear contextual bandits. arXiv:1812.06227 [cs.LG]
7. E. Altman. Constrained Markov decision processes, volume 7. CRC Press, 1999

Frequently Asked Questions

Q: What is the prediction methodology for KOF stock?
A: KOF stock prediction methodology: We evaluate the prediction models Modular Neural Network (Market News Sentiment Analysis) and Stepwise Regression
Q: Is KOF stock a buy or sell?
A: The dominant strategy among neural network is to Sell KOF Stock.
Q: Is Coca Cola Femsa S.A.B. de C.V. American Depositary Shares each representing 10 Units (each Unit consists of 3 Series B Shares and 5 Series L Shares) stock a good investment?
A: The consensus rating for Coca Cola Femsa S.A.B. de C.V. American Depositary Shares each representing 10 Units (each Unit consists of 3 Series B Shares and 5 Series L Shares) is Sell and is assigned short-term B3 & long-term B1 estimated rating.
Q: What is the consensus rating of KOF stock?
A: The consensus rating for KOF is Sell.
Q: What is the prediction period for KOF stock?
A: The prediction period for KOF is 6 Month

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