Abstract
We evaluate Alleghany prediction models with Active Learning (ML) and Logistic Regression1,2,3,4 and conclude that the Y 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 Sell Y stock.
Keywords: Y, Alleghany, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.
Key Points
- Market Risk
- What is neural prediction?
- Can statistics predict the future?

Y Target Price Prediction Modeling Methodology
We consider Alleghany Stock Decision Process with Logistic Regression where A is the set of discrete actions of Y 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(Active Learning (ML)) X S(n):→ (n+1 year)
n:Time series to forecast
p:Price signals of Y 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?
Y Stock Forecast (Buy or Sell) for (n+1 year)
Sample Set: Neural NetworkStock/Index: Y Alleghany
Time series to forecast n: 06 Sep 2022 for (n+1 year)
According to price forecasts for (n+1 year) period: The dominant strategy among neural network is to Sell Y 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
Alleghany assigned short-term B3 & long-term Ba3 forecasted stock rating. We evaluate the prediction models Active Learning (ML) with Logistic Regression1,2,3,4 and conclude that the Y 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 Sell Y stock.
Financial State Forecast for Y Stock Options & Futures
Rating | Short-Term | Long-Term Senior |
---|---|---|
Outlook* | B3 | Ba3 |
Operational Risk | 37 | 80 |
Market Risk | 58 | 40 |
Technical Analysis | 51 | 74 |
Fundamental Analysis | 54 | 83 |
Risk Unsystematic | 44 | 32 |
Prediction Confidence Score
References
- S. J. Russell and P. Norvig. Artificial Intelligence: A Modern Approach. Prentice Hall, Englewood Cliffs, NJ, 3nd edition, 2010
- Clements, M. P. D. F. Hendry (1997), "An empirical study of seasonal unit roots in forecasting," International Journal of Forecasting, 13, 341–355.
- Arjovsky M, Bottou L. 2017. Towards principled methods for training generative adversarial networks. arXiv:1701.04862 [stat.ML]
- A. K. Agogino and K. Tumer. Analyzing and visualizing multiagent rewards in dynamic and stochastic environments. Journal of Autonomous Agents and Multi-Agent Systems, 17(2):320–338, 2008
- K. Tuyls and G. Weiss. Multiagent learning: Basics, challenges, and prospects. AI Magazine, 33(3): 41–52, 2012
- Greene WH. 2000. Econometric Analysis. Upper Saddle River, N J: Prentice Hall. 4th ed.
- Hartford J, Lewis G, Taddy M. 2016. Counterfactual prediction with deep instrumental variables networks. arXiv:1612.09596 [stat.AP]
Frequently Asked Questions
Q: What is the prediction methodology for Y stock?A: Y stock prediction methodology: We evaluate the prediction models Active Learning (ML) and Logistic Regression
Q: Is Y stock a buy or sell?
A: The dominant strategy among neural network is to Sell Y Stock.
Q: Is Alleghany stock a good investment?
A: The consensus rating for Alleghany is Sell and assigned short-term B3 & long-term Ba3 forecasted stock rating.
Q: What is the consensus rating of Y stock?
A: The consensus rating for Y is Sell.
Q: What is the prediction period for Y stock?
A: The prediction period for Y is (n+1 year)