## Abstract

**We evaluate Algonquin Power & Utilities Corp. prediction models with Modular Neural Network (News Feed Sentiment Analysis) and Spearman Correlation ^{1,2,3,4} and conclude that the AQN 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 AQN stock.**

**AQN, Algonquin Power & Utilities Corp., stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.**

*Keywords:*## Key Points

- What is Markov decision process in reinforcement learning?
- What is Markov decision process in reinforcement learning?
- How do you know when a stock will go up or down?

## AQN Target Price Prediction Modeling Methodology

We consider Algonquin Power & Utilities Corp. Stock Decision Process with Spearman Correlation where A is the set of discrete actions of AQN 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 Î³ ∈ [0, 1] is a move factor for expectation.^{1,2,3,4}

F(Spearman Correlation)

^{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(Modular Neural Network (News Feed Sentiment Analysis)) X S(n):→ (n+6 month) $\begin{array}{l}\int {r}^{s}\mathrm{rs}\end{array}$

n:Time series to forecast

p:Price signals of AQN 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?

## AQN Stock Forecast (Buy or Sell) for (n+6 month)

**Sample Set:**Neural Network

**Stock/Index:**AQN Algonquin Power & Utilities Corp.

**Time series to forecast n: 02 Sep 2022**for (n+6 month)

**According to price forecasts for (n+6 month) period: The dominant strategy among neural network is to Hold AQN 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

Algonquin Power & Utilities Corp. assigned short-term Ba2 & long-term Ba3 forecasted stock rating.** We evaluate the prediction models Modular Neural Network (News Feed Sentiment Analysis) with Spearman Correlation ^{1,2,3,4} and conclude that the AQN 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 AQN stock.**

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

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

Outlook* | Ba2 | Ba3 |

Operational Risk | 60 | 79 |

Market Risk | 69 | 72 |

Technical Analysis | 72 | 35 |

Fundamental Analysis | 75 | 78 |

Risk Unsystematic | 63 | 66 |

### Prediction Confidence Score

## References

- D. Bertsekas. Dynamic programming and optimal control. Athena Scientific, 1995.
- Barrett, C. B. (1997), "Heteroscedastic price forecasting for food security management in developing countries," Oxford Development Studies, 25, 225–236.
- Wager S, Athey S. 2017. Estimation and inference of heterogeneous treatment effects using random forests. J. Am. Stat. Assoc. 113:1228–42
- Blei DM, Lafferty JD. 2009. Topic models. In Text Mining: Classification, Clustering, and Applications, ed. A Srivastava, M Sahami, pp. 101–24. Boca Raton, FL: CRC Press
- Abadie A, Diamond A, Hainmueller J. 2010. Synthetic control methods for comparative case studies: estimat- ing the effect of California's tobacco control program. J. Am. Stat. Assoc. 105:493–505
- S. J. Russell and P. Norvig. Artificial Intelligence: A Modern Approach. Prentice Hall, Englewood Cliffs, NJ, 3nd edition, 2010
- R. Rockafellar and S. Uryasev. Optimization of conditional value-at-risk. Journal of Risk, 2:21–42, 2000.

## Frequently Asked Questions

Q: What is the prediction methodology for AQN stock?A: AQN stock prediction methodology: We evaluate the prediction models Modular Neural Network (News Feed Sentiment Analysis) and Spearman Correlation

Q: Is AQN stock a buy or sell?

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

Q: Is Algonquin Power & Utilities Corp. stock a good investment?

A: The consensus rating for Algonquin Power & Utilities Corp. is Hold and assigned short-term Ba2 & long-term Ba3 forecasted stock rating.

Q: What is the consensus rating of AQN stock?

A: The consensus rating for AQN is Hold.

Q: What is the prediction period for AQN stock?

A: The prediction period for AQN is (n+6 month)