Outlook: Presidio Property Trust Inc. 9.375% Series D Cumulative Redeemable Perpetual Preferred Stock \$0.01 par value per share is assigned short-term Ba1 & long-term Ba1 estimated rating.
Dominant Strategy : Sell
Time series to forecast n: 07 Jun 2023 for 8 Weeks
Methodology : Transfer Learning (ML)

## Abstract

Presidio Property Trust Inc. 9.375% Series D Cumulative Redeemable Perpetual Preferred Stock \$0.01 par value per share prediction model is evaluated with Transfer Learning (ML) and Lasso Regression1,2,3,4 and it is concluded that the SQFTP stock is predictable in the short/long term. According to price forecasts for 8 Weeks period, the dominant strategy among neural network is: Sell

## Key Points

1. What are the most successful trading algorithms?
2. What is prediction in deep learning?
3. How useful are statistical predictions?

## SQFTP Target Price Prediction Modeling Methodology

We consider Presidio Property Trust Inc. 9.375% Series D Cumulative Redeemable Perpetual Preferred Stock \$0.01 par value per share Decision Process with Transfer Learning (ML) where A is the set of discrete actions of SQFTP 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(Lasso Regression)5,6,7= $\begin{array}{cccc}{p}_{a1}& {p}_{a2}& \dots & {p}_{1n}\\ & ⋮\\ {p}_{j1}& {p}_{j2}& \dots & {p}_{jn}\\ & ⋮\\ {p}_{k1}& {p}_{k2}& \dots & {p}_{kn}\\ & ⋮\\ {p}_{n1}& {p}_{n2}& \dots & {p}_{nn}\end{array}$ X R(Transfer Learning (ML)) X S(n):→ 8 Weeks $\begin{array}{l}\int {e}^{x}\mathrm{rx}\end{array}$

n:Time series to forecast

p:Price signals of SQFTP stock

j:Nash equilibria (Neural Network)

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?

## SQFTP Stock Forecast (Buy or Sell) for 8 Weeks

Sample Set: Neural Network
Stock/Index: SQFTP Presidio Property Trust Inc. 9.375% Series D Cumulative Redeemable Perpetual Preferred Stock \$0.01 par value per share
Time series to forecast n: 07 Jun 2023 for 8 Weeks

According to price forecasts for 8 Weeks period, the dominant strategy among neural network is: Sell

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 (Grey to Black): *Technical Analysis%

## IFRS Reconciliation Adjustments for Presidio Property Trust Inc. 9.375% Series D Cumulative Redeemable Perpetual Preferred Stock \$0.01 par value per share

1. However, the designation of the hedging relationship using the same hedge ratio as that resulting from the quantities of the hedged item and the hedging instrument that the entity actually uses shall not reflect an imbalance between the weightings of the hedged item and the hedging instrument that would in turn create hedge ineffectiveness (irrespective of whether recognised or not) that could result in an accounting outcome that would be inconsistent with the purpose of hedge accounting. Hence, for the purpose of designating a hedging relationship, an entity must adjust the hedge ratio that results from the quantities of the hedged item and the hedging instrument that the entity actually uses if that is needed to avoid such an imbalance
2. Paragraph 6.3.6 states that in consolidated financial statements the foreign currency risk of a highly probable forecast intragroup transaction may qualify as a hedged item in a cash flow hedge, provided that the transaction is denominated in a currency other than the functional currency of the entity entering into that transaction and that the foreign currency risk will affect consolidated profit or loss. For this purpose an entity can be a parent, subsidiary, associate, joint arrangement or branch. If the foreign currency risk of a forecast intragroup transaction does not affect consolidated profit or loss, the intragroup transaction cannot qualify as a hedged item. This is usually the case for royalty payments, interest payments or management charges between members of the same group, unless there is a related external transaction. However, when the foreign currency risk of a forecast intragroup transaction will affect consolidated profit or loss, the intragroup transaction can qualify as a hedged item. An example is forecast sales or purchases of inventories between members of the same group if there is an onward sale of the inventory to a party external to the group. Similarly, a forecast intragroup sale of plant and equipment from the group entity that manufactured it to a group entity that will use the plant and equipment in its operations may affect consolidated profit or loss. This could occur, for example, because the plant and equipment will be depreciated by the purchasing entity and the amount initially recognised for the plant and equipment may change if the forecast intragroup transaction is denominated in a currency other than the functional currency of the purchasing entity.
3. Changes in market conditions that give rise to market risk include changes in a benchmark interest rate, the price of another entity's financial instrument, a commodity price, a foreign exchange rate or an index of prices or rates.
4. An entity shall apply this Standard retrospectively, in accordance with IAS 8 Accounting Policies, Changes in Accounting Estimates and Errors, except as specified in paragraphs 7.2.4–7.2.26 and 7.2.28. This Standard shall not be applied to items that have already been derecognised at the date of initial application.

*International Financial Reporting Standards (IFRS) adjustment process involves reviewing the company's financial statements and identifying any differences between the company's current accounting practices and the requirements of the IFRS. If there are any such differences, neural network makes adjustments to financial statements to bring them into compliance with the IFRS.

## Conclusions

Presidio Property Trust Inc. 9.375% Series D Cumulative Redeemable Perpetual Preferred Stock \$0.01 par value per share is assigned short-term Ba1 & long-term Ba1 estimated rating. Presidio Property Trust Inc. 9.375% Series D Cumulative Redeemable Perpetual Preferred Stock \$0.01 par value per share prediction model is evaluated with Transfer Learning (ML) and Lasso Regression1,2,3,4 and it is concluded that the SQFTP stock is predictable in the short/long term. According to price forecasts for 8 Weeks period, the dominant strategy among neural network is: Sell

### SQFTP Presidio Property Trust Inc. 9.375% Series D Cumulative Redeemable Perpetual Preferred Stock \$0.01 par value per share Financial Analysis*

Rating Short-Term Long-Term Senior
Outlook*Ba1Ba1
Income StatementBaa2B1
Balance SheetB3Caa2
Leverage RatiosBaa2B2
Cash FlowCaa2Baa2
Rates of Return and ProfitabilityCB3

*Financial analysis is the process of evaluating a company's financial performance and position by neural network. It involves reviewing the company's financial statements, including the balance sheet, income statement, and cash flow statement, as well as other financial reports and documents.
How does neural network examine financial reports and understand financial state of the company?

### Prediction Confidence Score

Trust metric by Neural Network: 78 out of 100 with 510 signals.

## References

1. Chen, C. L. Liu (1993), "Joint estimation of model parameters and outlier effects in time series," Journal of the American Statistical Association, 88, 284–297.
2. L. Prashanth and M. Ghavamzadeh. Actor-critic algorithms for risk-sensitive MDPs. In Proceedings of Advances in Neural Information Processing Systems 26, pages 252–260, 2013.
3. Barkan O. 2016. Bayesian neural word embedding. arXiv:1603.06571 [math.ST]
4. S. J. Russell and P. Norvig. Artificial Intelligence: A Modern Approach. Prentice Hall, Englewood Cliffs, NJ, 3nd edition, 2010
5. Hornik K, Stinchcombe M, White H. 1989. Multilayer feedforward networks are universal approximators. Neural Netw. 2:359–66
6. Miller A. 2002. Subset Selection in Regression. New York: CRC Press
7. Arjovsky M, Bottou L. 2017. Towards principled methods for training generative adversarial networks. arXiv:1701.04862 [stat.ML]
Frequently Asked QuestionsQ: What is the prediction methodology for SQFTP stock?
A: SQFTP stock prediction methodology: We evaluate the prediction models Transfer Learning (ML) and Lasso Regression
Q: Is SQFTP stock a buy or sell?
A: The dominant strategy among neural network is to Sell SQFTP Stock.
Q: Is Presidio Property Trust Inc. 9.375% Series D Cumulative Redeemable Perpetual Preferred Stock \$0.01 par value per share stock a good investment?
A: The consensus rating for Presidio Property Trust Inc. 9.375% Series D Cumulative Redeemable Perpetual Preferred Stock \$0.01 par value per share is Sell and is assigned short-term Ba1 & long-term Ba1 estimated rating.
Q: What is the consensus rating of SQFTP stock?
A: The consensus rating for SQFTP is Sell.
Q: What is the prediction period for SQFTP stock?
A: The prediction period for SQFTP is 8 Weeks