Abstract
We evaluate Sysco prediction models with Modular Neural Network (Emotional Trigger/Responses Analysis) and Linear Regression1,2,3,4 and conclude that the SYY stock is predictable in the short/long term. According to price forecasts for (n+8 weeks) period: The dominant strategy among neural network is to Hold SYY stock.
Keywords: SYY, Sysco, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.
Key Points
- How can neural networks improve predictions?
- How do you pick a stock?
- Operational Risk

SYY Target Price Prediction Modeling Methodology
We consider Sysco Stock Decision Process with Linear Regression where A is the set of discrete actions of SYY 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(Linear Regression)5,6,7= X R(Modular Neural Network (Emotional Trigger/Responses Analysis)) X S(n):→ (n+8 weeks)
n:Time series to forecast
p:Price signals of SYY 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?
SYY Stock Forecast (Buy or Sell) for (n+8 weeks)
Sample Set: Neural NetworkStock/Index: SYY Sysco
Time series to forecast n: 05 Sep 2022 for (n+8 weeks)
According to price forecasts for (n+8 weeks) period: The dominant strategy among neural network is to Hold SYY 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
Sysco assigned short-term Baa2 & long-term Ba3 forecasted stock rating. We evaluate the prediction models Modular Neural Network (Emotional Trigger/Responses Analysis) with Linear Regression1,2,3,4 and conclude that the SYY stock is predictable in the short/long term. According to price forecasts for (n+8 weeks) period: The dominant strategy among neural network is to Hold SYY stock.
Financial State Forecast for SYY Stock Options & Futures
Rating | Short-Term | Long-Term Senior |
---|---|---|
Outlook* | Baa2 | Ba3 |
Operational Risk | 86 | 62 |
Market Risk | 50 | 47 |
Technical Analysis | 90 | 62 |
Fundamental Analysis | 80 | 67 |
Risk Unsystematic | 69 | 73 |
Prediction Confidence Score
References
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- A. Tamar, D. Di Castro, and S. Mannor. Policy gradients with variance related risk criteria. In Proceedings of the Twenty-Ninth International Conference on Machine Learning, pages 387–396, 2012.
- Akgiray, V. (1989), "Conditional heteroscedasticity in time series of stock returns: Evidence and forecasts," Journal of Business, 62, 55–80.
- Bennett J, Lanning S. 2007. The Netflix prize. In Proceedings of KDD Cup and Workshop 2007, p. 35. New York: ACM
- Belloni A, Chernozhukov V, Hansen C. 2014. High-dimensional methods and inference on structural and treatment effects. J. Econ. Perspect. 28:29–50
Frequently Asked Questions
Q: What is the prediction methodology for SYY stock?A: SYY stock prediction methodology: We evaluate the prediction models Modular Neural Network (Emotional Trigger/Responses Analysis) and Linear Regression
Q: Is SYY stock a buy or sell?
A: The dominant strategy among neural network is to Hold SYY Stock.
Q: Is Sysco stock a good investment?
A: The consensus rating for Sysco is Hold and assigned short-term Baa2 & long-term Ba3 forecasted stock rating.
Q: What is the consensus rating of SYY stock?
A: The consensus rating for SYY is Hold.
Q: What is the prediction period for SYY stock?
A: The prediction period for SYY is (n+8 weeks)