Modelling A.I. in Economics

APE Stock Forecast: A Hold For The Next 1 Year (Forecast)

Outlook: AMC Entertainment Holdings Inc. AMC Preferred Equity Units each constituting a depositary share representing a 1/100th interest in a share of Series A Convertible Participating Preferred Stock is assigned short-term Ba3 & long-term B2 estimated rating.
AUC Score : What is AUC Score?
Short-Term Revised1 :
Dominant Strategy : Hold
Time series to forecast n: for Weeks2
Methodology : Reinforcement Machine Learning (ML)
Hypothesis Testing : Logistic Regression
Surveillance : Major exchange and OTC

1The accuracy of the model is being monitored on a regular basis.(15-minute period)

2Time series is updated based on short-term trends.


AMC Entertainment Holdings Inc. AMC Preferred Equity Units each constituting a depositary share representing a 1/100th interest in a share of Series A Convertible Participating Preferred Stock prediction model is evaluated with Reinforcement Machine Learning (ML) and Logistic Regression1,2,3,4 and it is concluded that the APE stock is predictable in the short/long term. Reinforcement machine learning (RL) is a type of machine learning where an agent learns to take actions in an environment in order to maximize a reward. The agent does this by trial and error, and is able to learn from its mistakes. RL is a powerful tool that can be used for a variety of tasks, including game playing, robotics, and finance. According to price forecasts for 1 Year period, the dominant strategy among neural network is: Hold

Graph 47

Key Points

  1. Buy, Sell and Hold Signals
  2. Why do we need predictive models?
  3. Should I buy stocks now or wait amid such uncertainty?

APE Target Price Prediction Modeling Methodology

We consider AMC Entertainment Holdings Inc. AMC Preferred Equity Units each constituting a depositary share representing a 1/100th interest in a share of Series A Convertible Participating Preferred Stock Decision Process with Reinforcement Machine Learning (ML) where A is the set of discrete actions of APE 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(Logistic Regression)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(Reinforcement Machine Learning (ML)) X S(n):→ 1 Year R = 1 0 0 0 1 0 0 0 1

n:Time series to forecast

p:Price signals of APE stock

j:Nash equilibria (Neural Network)

k:Dominated move

a:Best response for target price

Reinforcement Machine Learning (ML)

Reinforcement machine learning (RL) is a type of machine learning where an agent learns to take actions in an environment in order to maximize a reward. The agent does this by trial and error, and is able to learn from its mistakes. RL is a powerful tool that can be used for a variety of tasks, including game playing, robotics, and finance.

Logistic Regression

In statistics, logistic regression is a type of regression analysis used when the dependent variable is categorical. Logistic regression is a probability model that predicts the probability of an event occurring based on a set of independent variables. In logistic regression, the dependent variable is represented as a binary variable, such as "yes" or "no," "true" or "false," or "sick" or "healthy." The independent variables can be continuous or categorical variables.

 

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?

APE Stock Forecast (Buy or Sell)

Sample Set: Neural Network
Stock/Index: APE AMC Entertainment Holdings Inc. AMC Preferred Equity Units each constituting a depositary share representing a 1/100th interest in a share of Series A Convertible Participating Preferred Stock
Time series to forecast: 1 Year

According to price forecasts, the dominant strategy among neural network is: Hold

Strategic Interaction Table Legend:

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%

Financial Data Adjustments for Reinforcement Machine Learning (ML) based APE Stock Prediction Model

  1. If, at the date of initial application, determining whether there has been a significant increase in credit risk since initial recognition would require undue cost or effort, an entity shall recognise a loss allowance at an amount equal to lifetime expected credit losses at each reporting date until that financial instrument is derecognised (unless that financial instrument is low credit risk at a reporting date, in which case paragraph 7.2.19(a) applies).
  2. 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.)
  3. An entity shall apply Annual Improvements to IFRS Standards 2018–2020 to financial liabilities that are modified or exchanged on or after the beginning of the annual reporting period in which the entity first applies the amendment.
  4. There is a rebuttable presumption that unless inflation risk is contractually specified, it is not separately identifiable and reliably measurable and hence cannot be designated as a risk component of a financial instrument. However, in limited cases, it is possible to identify a risk component for inflation risk that is separately identifiable and reliably measurable because of the particular circumstances of the inflation environment and the relevant debt market

*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.

APE AMC Entertainment Holdings Inc. AMC Preferred Equity Units each constituting a depositary share representing a 1/100th interest in a share of Series A Convertible Participating Preferred Stock Financial Analysis*

Rating Short-Term Long-Term Senior
Outlook*Ba3B2
Income StatementBaa2C
Balance SheetB3B2
Leverage RatiosB3Ba2
Cash FlowBa3Baa2
Rates of Return and ProfitabilityBa2C

*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?

References

  1. Barrett, C. B. (1997), "Heteroscedastic price forecasting for food security management in developing countries," Oxford Development Studies, 25, 225–236.
  2. Jorgenson, D.W., Weitzman, M.L., ZXhang, Y.X., Haxo, Y.M. and Mat, Y.X., 2023. Google's Stock Price Set to Soar in the Next 3 Months. AC Investment Research Journal, 220(44).
  3. Breusch, T. S. A. R. Pagan (1979), "A simple test for heteroskedasticity and random coefficient variation," Econometrica, 47, 1287–1294.
  4. D. White. Mean, variance, and probabilistic criteria in finite Markov decision processes: A review. Journal of Optimization Theory and Applications, 56(1):1–29, 1988.
  5. J. N. Foerster, Y. M. Assael, N. de Freitas, and S. Whiteson. Learning to communicate with deep multi-agent reinforcement learning. In Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain, pages 2137–2145, 2016.
  6. 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]
  7. Mullainathan S, Spiess J. 2017. Machine learning: an applied econometric approach. J. Econ. Perspect. 31:87–106
Frequently Asked QuestionsQ: What is the prediction methodology for APE stock?
A: APE stock prediction methodology: We evaluate the prediction models Reinforcement Machine Learning (ML) and Logistic Regression
Q: Is APE stock a buy or sell?
A: The dominant strategy among neural network is to Hold APE Stock.
Q: Is AMC Entertainment Holdings Inc. AMC Preferred Equity Units each constituting a depositary share representing a 1/100th interest in a share of Series A Convertible Participating Preferred Stock stock a good investment?
A: The consensus rating for AMC Entertainment Holdings Inc. AMC Preferred Equity Units each constituting a depositary share representing a 1/100th interest in a share of Series A Convertible Participating Preferred Stock is Hold and is assigned short-term Ba3 & long-term B2 estimated rating.
Q: What is the consensus rating of APE stock?
A: The consensus rating for APE is Hold.
Q: What is the prediction period for APE stock?
A: The prediction period for APE is 1 Year

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