Abstract
We evaluate CooperCompanies prediction models with Multi-Task Learning (ML) and Ridge Regression1,2,3,4 and conclude that the COO stock is predictable in the short/long term. According to price forecasts for (n+16 weeks) period: The dominant strategy among neural network is to Sell COO stock.
Keywords: COO, CooperCompanies, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.
Key Points
- Prediction Modeling
- Reaction Function
- Reaction Function

COO Target Price Prediction Modeling Methodology
We consider CooperCompanies Stock Decision Process with Ridge Regression where A is the set of discrete actions of COO 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(Ridge Regression)5,6,7= X R(Multi-Task Learning (ML)) X S(n):→ (n+16 weeks)
n:Time series to forecast
p:Price signals of COO 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?
COO Stock Forecast (Buy or Sell) for (n+16 weeks)
Sample Set: Neural NetworkStock/Index: COO CooperCompanies
Time series to forecast n: 02 Sep 2022 for (n+16 weeks)
According to price forecasts for (n+16 weeks) period: The dominant strategy among neural network is to Sell COO 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
CooperCompanies assigned short-term B2 & long-term Ba3 forecasted stock rating. We evaluate the prediction models Multi-Task Learning (ML) with Ridge Regression1,2,3,4 and conclude that the COO stock is predictable in the short/long term. According to price forecasts for (n+16 weeks) period: The dominant strategy among neural network is to Sell COO stock.
Financial State Forecast for COO Stock Options & Futures
Rating | Short-Term | Long-Term Senior |
---|---|---|
Outlook* | B2 | Ba3 |
Operational Risk | 82 | 88 |
Market Risk | 46 | 37 |
Technical Analysis | 38 | 59 |
Fundamental Analysis | 34 | 83 |
Risk Unsystematic | 81 | 56 |
Prediction Confidence Score
References
- Matzkin RL. 1994. Restrictions of economic theory in nonparametric methods. In Handbook of Econometrics, Vol. 4, ed. R Engle, D McFadden, pp. 2523–58. Amsterdam: Elsevier
- Scott SL. 2010. A modern Bayesian look at the multi-armed bandit. Appl. Stoch. Models Bus. Ind. 26:639–58
- Athey S, Mobius MM, Pál J. 2017c. The impact of aggregators on internet news consumption. Unpublished manuscript, Grad. School Bus., Stanford Univ., Stanford, CA
- Rosenbaum PR, Rubin DB. 1983. The central role of the propensity score in observational studies for causal effects. Biometrika 70:41–55
- Van der Vaart AW. 2000. Asymptotic Statistics. Cambridge, UK: Cambridge Univ. Press
- Clements, M. P. D. F. Hendry (1995), "Forecasting in cointegrated systems," Journal of Applied Econometrics, 10, 127–146.
- H. Kushner and G. Yin. Stochastic approximation algorithms and applications. Springer, 1997.
Frequently Asked Questions
Q: What is the prediction methodology for COO stock?A: COO stock prediction methodology: We evaluate the prediction models Multi-Task Learning (ML) and Ridge Regression
Q: Is COO stock a buy or sell?
A: The dominant strategy among neural network is to Sell COO Stock.
Q: Is CooperCompanies stock a good investment?
A: The consensus rating for CooperCompanies is Sell and assigned short-term B2 & long-term Ba3 forecasted stock rating.
Q: What is the consensus rating of COO stock?
A: The consensus rating for COO is Sell.
Q: What is the prediction period for COO stock?
A: The prediction period for COO is (n+16 weeks)