The aim of this study is to evaluate the effectiveness of using external indicators, such as commodity prices and currency exchange rates, in predicting movements. The performance of each technique is evaluated using different domain specific metrics. A comprehensive evaluation procedure is described, involving the use of trading simulations to assess the practical value of predictive models, and comparison with simple benchmarks that respond to underlying market growth.** We evaluate Alexandria Real Estate Equities prediction models with Modular Neural Network (News Feed Sentiment Analysis) and Logistic Regression ^{1,2,3,4} and conclude that the ARE 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 ARE stock.**

**ARE, Alexandria Real Estate Equities, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.**

*Keywords:*## Key Points

- Market Risk
- Can stock prices be predicted?
- Technical Analysis with Algorithmic Trading

## ARE Target Price Prediction Modeling Methodology

Stock prediction is a very hot topic in our life. However, in the early time, because of some reasons and the limitation of the device, only a few people had the access to the study. Thanks to the rapid development of science and technology, in recent years more and more people are devoted to the study of the prediction and it becomes easier and easier for us to make stock prediction by using different ways now, including machine learning, deep learning and so on. We consider Alexandria Real Estate Equities Stock Decision Process with Logistic Regression where A is the set of discrete actions of ARE 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(Logistic 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(Modular Neural Network (News Feed Sentiment Analysis)) X S(n):→ (n+6 month) $R=\left(\begin{array}{ccc}1& 0& 0\\ 0& 1& 0\\ 0& 0& 1\end{array}\right)$

n:Time series to forecast

p:Price signals of ARE 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?

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

**Sample Set:**Neural Network

**Stock/Index:**ARE Alexandria Real Estate Equities

**Time series to forecast n: 18 Sep 2022**for (n+6 month)

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

Alexandria Real Estate Equities assigned short-term B3 & long-term B1 forecasted stock rating.** We evaluate the prediction models Modular Neural Network (News Feed Sentiment Analysis) with Logistic Regression ^{1,2,3,4} and conclude that the ARE 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 ARE stock.**

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

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

Outlook* | B3 | B1 |

Operational Risk | 59 | 79 |

Market Risk | 69 | 37 |

Technical Analysis | 45 | 55 |

Fundamental Analysis | 44 | 73 |

Risk Unsystematic | 40 | 38 |

### Prediction Confidence Score

## References

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## Frequently Asked Questions

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

Q: Is ARE stock a buy or sell?

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

Q: Is Alexandria Real Estate Equities stock a good investment?

A: The consensus rating for Alexandria Real Estate Equities is Hold and assigned short-term B3 & long-term B1 forecasted stock rating.

Q: What is the consensus rating of ARE stock?

A: The consensus rating for ARE is Hold.

Q: What is the prediction period for ARE stock?

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