Abstract
We evaluate Qualcomm prediction models with Transductive Learning (ML) and Multiple Regression1,2,3,4 and conclude that the QCOM 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 Buy QCOM stock.
Keywords: QCOM, Qualcomm, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.
Key Points
- What are main components of Markov decision process?
- Understanding Buy, Sell, and Hold Ratings
- Is Target price a good indicator?

QCOM Target Price Prediction Modeling Methodology
We consider Qualcomm Stock Decision Process with Multiple Regression where A is the set of discrete actions of QCOM 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(Multiple Regression)5,6,7= X R(Transductive Learning (ML)) X S(n):→ (n+8 weeks)
n:Time series to forecast
p:Price signals of QCOM 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?
QCOM Stock Forecast (Buy or Sell) for (n+8 weeks)
Sample Set: Neural NetworkStock/Index: QCOM Qualcomm
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 Buy QCOM 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
Qualcomm assigned short-term Baa2 & long-term B1 forecasted stock rating. We evaluate the prediction models Transductive Learning (ML) with Multiple Regression1,2,3,4 and conclude that the QCOM 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 Buy QCOM stock.
Financial State Forecast for QCOM Stock Options & Futures
Rating | Short-Term | Long-Term Senior |
---|---|---|
Outlook* | Baa2 | B1 |
Operational Risk | 61 | 35 |
Market Risk | 80 | 57 |
Technical Analysis | 80 | 79 |
Fundamental Analysis | 73 | 65 |
Risk Unsystematic | 72 | 55 |
Prediction Confidence Score
References
- Angrist JD, Pischke JS. 2008. Mostly Harmless Econometrics: An Empiricist's Companion. Princeton, NJ: Princeton Univ. Press
- E. Collins. Using Markov decision processes to optimize a nonlinear functional of the final distribution, with manufacturing applications. In Stochastic Modelling in Innovative Manufacturing, pages 30–45. Springer, 1997
- V. Borkar. Q-learning for risk-sensitive control. Mathematics of Operations Research, 27:294–311, 2002.
- Burkov A. 2019. The Hundred-Page Machine Learning Book. Quebec City, Can.: Andriy Burkov
- Dudik M, Erhan D, Langford J, Li L. 2014. Doubly robust policy evaluation and optimization. Stat. Sci. 29:485–511
- M. Puterman. Markov Decision Processes: Discrete Stochastic Dynamic Programming. Wiley, New York, 1994.
- R. Sutton and A. Barto. Introduction to reinforcement learning. MIT Press, 1998
Frequently Asked Questions
Q: What is the prediction methodology for QCOM stock?A: QCOM stock prediction methodology: We evaluate the prediction models Transductive Learning (ML) and Multiple Regression
Q: Is QCOM stock a buy or sell?
A: The dominant strategy among neural network is to Buy QCOM Stock.
Q: Is Qualcomm stock a good investment?
A: The consensus rating for Qualcomm is Buy and assigned short-term Baa2 & long-term B1 forecasted stock rating.
Q: What is the consensus rating of QCOM stock?
A: The consensus rating for QCOM is Buy.
Q: What is the prediction period for QCOM stock?
A: The prediction period for QCOM is (n+8 weeks)