## Abstract

**We evaluate Qualcomm prediction models with Transductive Learning (ML) and Multiple Regression ^{1,2,3,4} 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.**

**QCOM, Qualcomm, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.**

*Keywords:*## 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}= $\begin{array}{cccc}{p}_{\mathrm{a}1}& {p}_{\mathrm{a}2}& \dots & {p}_{1n}\\ & \vdots \\ {p}_{j1}& {p}_{j2}& \dots & {p}_{jn}\\ & \vdots \\ {p}_{k1}& {p}_{k2}& \dots & {p}_{kn}\\ & \vdots \\ {p}_{n1}& {p}_{n2}& \dots & {p}_{nn}\end{array}$ X R(Transductive Learning (ML)) X S(n):→ (n+8 weeks) $\sum _{i=1}^{n}\left({a}_{i}\right)$

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 Network

**Stock/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 Regression ^{1,2,3,4} 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)