## Abstract

**We evaluate Procter & Gamble prediction models with Transductive Learning (ML) and Multiple Regression ^{1,2,3,4} and conclude that the PG 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 PG stock.**

**PG, Procter & Gamble, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.**

*Keywords:*## Key Points

- Technical Analysis with Algorithmic Trading
- Investment Risk
- Technical Analysis with Algorithmic Trading

## PG Target Price Prediction Modeling Methodology

We consider Procter & Gamble Stock Decision Process with Multiple Regression where A is the set of discrete actions of PG 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) $\begin{array}{l}\int {e}^{x}\mathrm{rx}\end{array}$

n:Time series to forecast

p:Price signals of PG 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?

## PG Stock Forecast (Buy or Sell) for (n+8 weeks)

**Sample Set:**Neural Network

**Stock/Index:**PG Procter & Gamble

**Time series to forecast n: 02 Sep 2022**for (n+8 weeks)

**According to price forecasts for (n+8 weeks) period: The dominant strategy among neural network is to Hold PG 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

Procter & Gamble assigned short-term B3 & long-term Ba3 forecasted stock rating.** We evaluate the prediction models Transductive Learning (ML) with Multiple Regression ^{1,2,3,4} and conclude that the PG 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 PG stock.**

### Financial State Forecast for PG Stock Options & Futures

Rating | Short-Term | Long-Term Senior |
---|---|---|

Outlook* | B3 | Ba3 |

Operational Risk | 67 | 68 |

Market Risk | 66 | 48 |

Technical Analysis | 36 | 55 |

Fundamental Analysis | 30 | 81 |

Risk Unsystematic | 45 | 69 |

### Prediction Confidence Score

## References

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- Breiman L. 2001a. Random forests. Mach. Learn. 45:5–32
- Athey S, Imbens G, Wager S. 2016a. Efficient inference of average treatment effects in high dimensions via approximate residual balancing. arXiv:1604.07125 [math.ST]
- Bottou L. 1998. Online learning and stochastic approximations. In On-Line Learning in Neural Networks, ed. D Saad, pp. 9–42. New York: ACM
- Allen, P. G. (1994), "Economic forecasting in agriculture," International Journal of Forecasting, 10, 81–135.
- Zubizarreta JR. 2015. Stable weights that balance covariates for estimation with incomplete outcome data. J. Am. Stat. Assoc. 110:910–22
- Thomas P, Brunskill E. 2016. Data-efficient off-policy policy evaluation for reinforcement learning. In Pro- ceedings of the International Conference on Machine Learning, pp. 2139–48. La Jolla, CA: Int. Mach. Learn. Soc.

## Frequently Asked Questions

Q: What is the prediction methodology for PG stock?A: PG stock prediction methodology: We evaluate the prediction models Transductive Learning (ML) and Multiple Regression

Q: Is PG stock a buy or sell?

A: The dominant strategy among neural network is to Hold PG Stock.

Q: Is Procter & Gamble stock a good investment?

A: The consensus rating for Procter & Gamble is Hold and assigned short-term B3 & long-term Ba3 forecasted stock rating.

Q: What is the consensus rating of PG stock?

A: The consensus rating for PG is Hold.

Q: What is the prediction period for PG stock?

A: The prediction period for PG is (n+8 weeks)

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