Abstract
We evaluate Huntington prediction models with Modular Neural Network (DNN Layer) and Logistic Regression1,2,3,4 and conclude that the HBAN stock is predictable in the short/long term. According to price forecasts for (n+1 year) period: The dominant strategy among neural network is to Hold HBAN stock.
Keywords: HBAN, Huntington, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.
Key Points
- Trust metric by Neural Network
- What is prediction model?
- How do you know when a stock will go up or down?

HBAN Target Price Prediction Modeling Methodology
We consider Huntington Stock Decision Process with Logistic Regression where A is the set of discrete actions of HBAN 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= X R(Modular Neural Network (DNN Layer)) X S(n):→ (n+1 year)
n:Time series to forecast
p:Price signals of HBAN 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?
HBAN Stock Forecast (Buy or Sell) for (n+1 year)
Sample Set: Neural NetworkStock/Index: HBAN Huntington
Time series to forecast n: 09 Sep 2022 for (n+1 year)
According to price forecasts for (n+1 year) period: The dominant strategy among neural network is to Hold HBAN 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
Huntington assigned short-term Caa2 & long-term B3 forecasted stock rating. We evaluate the prediction models Modular Neural Network (DNN Layer) with Logistic Regression1,2,3,4 and conclude that the HBAN stock is predictable in the short/long term. According to price forecasts for (n+1 year) period: The dominant strategy among neural network is to Hold HBAN stock.
Financial State Forecast for HBAN Stock Options & Futures
Rating | Short-Term | Long-Term Senior |
---|---|---|
Outlook* | Caa2 | B3 |
Operational Risk | 44 | 45 |
Market Risk | 36 | 37 |
Technical Analysis | 30 | 35 |
Fundamental Analysis | 47 | 34 |
Risk Unsystematic | 43 | 56 |
Prediction Confidence Score
References
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- S. Proper and K. Tumer. Modeling difference rewards for multiagent learning (extended abstract). In Proceedings of the Eleventh International Joint Conference on Autonomous Agents and Multiagent Systems, Valencia, Spain, June 2012
- Chen X. 2007. Large sample sieve estimation of semi-nonparametric models. In Handbook of Econometrics, Vol. 6B, ed. JJ Heckman, EE Learner, pp. 5549–632. Amsterdam: Elsevier
- Bamler R, Mandt S. 2017. Dynamic word embeddings via skip-gram filtering. In Proceedings of the 34th Inter- national Conference on Machine Learning, pp. 380–89. La Jolla, CA: Int. Mach. Learn. Soc.
- N. B ̈auerle and A. Mundt. Dynamic mean-risk optimization in a binomial model. Mathematical Methods of Operations Research, 70(2):219–239, 2009.
Frequently Asked Questions
Q: What is the prediction methodology for HBAN stock?A: HBAN stock prediction methodology: We evaluate the prediction models Modular Neural Network (DNN Layer) and Logistic Regression
Q: Is HBAN stock a buy or sell?
A: The dominant strategy among neural network is to Hold HBAN Stock.
Q: Is Huntington stock a good investment?
A: The consensus rating for Huntington is Hold and assigned short-term Caa2 & long-term B3 forecasted stock rating.
Q: What is the consensus rating of HBAN stock?
A: The consensus rating for HBAN is Hold.
Q: What is the prediction period for HBAN stock?
A: The prediction period for HBAN is (n+1 year)