Abstract
We evaluate Ross Stores prediction models with Deductive Inference (ML) and Sign Test1,2,3,4 and conclude that the ROST stock is predictable in the short/long term. According to price forecasts for (n+6 month) period: The dominant strategy among neural network is to Hold ROST stock.
Keywords: ROST, Ross Stores, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.
Key Points
- How useful are statistical predictions?
- What is neural prediction?
- Operational Risk

ROST Target Price Prediction Modeling Methodology
We consider Ross Stores Stock Decision Process with Sign Test where A is the set of discrete actions of ROST 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(Sign Test)5,6,7= X R(Deductive Inference (ML)) X S(n):→ (n+6 month)
n:Time series to forecast
p:Price signals of ROST 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?
ROST Stock Forecast (Buy or Sell) for (n+6 month)
Sample Set: Neural NetworkStock/Index: ROST Ross Stores
Time series to forecast n: 05 Sep 2022 for (n+6 month)
According to price forecasts for (n+6 month) period: The dominant strategy among neural network is to Hold ROST 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
Ross Stores assigned short-term Ba3 & long-term B1 forecasted stock rating. We evaluate the prediction models Deductive Inference (ML) with Sign Test1,2,3,4 and conclude that the ROST stock is predictable in the short/long term. According to price forecasts for (n+6 month) period: The dominant strategy among neural network is to Hold ROST stock.
Financial State Forecast for ROST Stock Options & Futures
Rating | Short-Term | Long-Term Senior |
---|---|---|
Outlook* | Ba3 | B1 |
Operational Risk | 37 | 39 |
Market Risk | 74 | 33 |
Technical Analysis | 80 | 47 |
Fundamental Analysis | 65 | 77 |
Risk Unsystematic | 65 | 82 |
Prediction Confidence Score
References
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- D. Bertsekas and J. Tsitsiklis. Neuro-dynamic programming. Athena Scientific, 1996.
- Bai J, Ng S. 2002. Determining the number of factors in approximate factor models. Econometrica 70:191–221
- Z. Wang, T. Schaul, M. Hessel, H. van Hasselt, M. Lanctot, and N. de Freitas. Dueling network architectures for deep reinforcement learning. In Proceedings of the International Conference on Machine Learning (ICML), pages 1995–2003, 2016.
- Byron, R. P. O. Ashenfelter (1995), "Predicting the quality of an unborn grange," Economic Record, 71, 40–53.
- M. Petrik and D. Subramanian. An approximate solution method for large risk-averse Markov decision processes. In Proceedings of the 28th International Conference on Uncertainty in Artificial Intelligence, 2012.
- J. Filar, D. Krass, and K. Ross. Percentile performance criteria for limiting average Markov decision pro- cesses. IEEE Transaction of Automatic Control, 40(1):2–10, 1995.
Frequently Asked Questions
Q: What is the prediction methodology for ROST stock?A: ROST stock prediction methodology: We evaluate the prediction models Deductive Inference (ML) and Sign Test
Q: Is ROST stock a buy or sell?
A: The dominant strategy among neural network is to Hold ROST Stock.
Q: Is Ross Stores stock a good investment?
A: The consensus rating for Ross Stores is Hold and assigned short-term Ba3 & long-term B1 forecasted stock rating.
Q: What is the consensus rating of ROST stock?
A: The consensus rating for ROST is Hold.
Q: What is the prediction period for ROST stock?
A: The prediction period for ROST is (n+6 month)