**Outlook:**Priority Income Fund Inc. 6.625% Series F Term Preferred Stock due 2027 is assigned short-term Ba1 & long-term Ba1 estimated rating.

**Dominant Strategy :**Sell

**Time series to forecast n: 30 Apr 2023**for (n+8 weeks)

**Methodology :**Modular Neural Network (DNN Layer)

## Abstract

Priority Income Fund Inc. 6.625% Series F Term Preferred Stock due 2027 prediction model is evaluated with Modular Neural Network (DNN Layer) and Linear Regression^{1,2,3,4}and it is concluded that the PRIF^F stock is predictable in the short/long term.

**According to price forecasts for (n+8 weeks) period, the dominant strategy among neural network is: Sell**

## Key Points

- Is Target price a good indicator?
- Which neural network is best for prediction?
- Trading Interaction

## PRIF^F Target Price Prediction Modeling Methodology

We consider Priority Income Fund Inc. 6.625% Series F Term Preferred Stock due 2027 Decision Process with Modular Neural Network (DNN Layer) where A is the set of discrete actions of PRIF^F 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(Linear 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 (DNN Layer)) X S(n):→ (n+8 weeks) $R=\left(\begin{array}{ccc}1& 0& 0\\ 0& 1& 0\\ 0& 0& 1\end{array}\right)$

n:Time series to forecast

p:Price signals of PRIF^F 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?

## PRIF^F Stock Forecast (Buy or Sell) for (n+8 weeks)

**Sample Set:**Neural Network

**Stock/Index:**PRIF^F Priority Income Fund Inc. 6.625% Series F Term Preferred Stock due 2027

**Time series to forecast n: 30 Apr 2023**for (n+8 weeks)

**According to price forecasts for (n+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 Priority Income Fund Inc. 6.625% Series F Term Preferred Stock due 2027

- 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.
- An entity shall apply this Standard for annual periods beginning on or after 1 January 2018. Earlier application is permitted. If an entity elects to apply this Standard early, it must disclose that fact and apply all of the requirements in this Standard at the same time (but see also paragraphs 7.1.2, 7.2.21 and 7.3.2). It shall also, at the same time, apply the amendments in Appendix C.
- When rebalancing a hedging relationship, an entity shall update its analysis of the sources of hedge ineffectiveness that are expected to affect the hedging relationship during its (remaining) term (see paragraph B6.4.2). The documentation of the hedging relationship shall be updated accordingly.
- For the purposes of the transition provisions in paragraphs 7.2.1, 7.2.3–7.2.28 and 7.3.2, the date of initial application is the date when an entity first applies those requirements of this Standard and must be the beginning of a reporting period after the issue of this Standard. Depending on the entity's chosen approach to applying IFRS 9, the transition can involve one or more than one date of initial application for different requirements.

*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

Priority Income Fund Inc. 6.625% Series F Term Preferred Stock due 2027 is assigned short-term Ba1 & long-term Ba1 estimated rating. Priority Income Fund Inc. 6.625% Series F Term Preferred Stock due 2027 prediction model is evaluated with Modular Neural Network (DNN Layer) and Linear Regression^{1,2,3,4} and it is concluded that the PRIF^F stock is predictable in the short/long term. ** According to price forecasts for (n+8 weeks) period, the dominant strategy among neural network is: Sell**

### PRIF^F Priority Income Fund Inc. 6.625% Series F Term Preferred Stock due 2027 Financial Analysis*

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

Outlook* | Ba1 | Ba1 |

Income Statement | Ba3 | C |

Balance Sheet | Ba3 | Baa2 |

Leverage Ratios | Ba1 | Ba1 |

Cash Flow | Ba1 | B3 |

Rates of Return and Profitability | C | Baa2 |

*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

## References

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- Wooldridge JM. 2010. Econometric Analysis of Cross Section and Panel Data. Cambridge, MA: MIT Press
- M. L. Littman. Friend-or-foe q-learning in general-sum games. In Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28 - July 1, 2001, pages 322–328, 2001
- Abadie A, Imbens GW. 2011. Bias-corrected matching estimators for average treatment effects. J. Bus. Econ. Stat. 29:1–11
- ZXhang, Y.X., Haxo, Y.M. and Mat, Y.X., 2023. Can Neural Networks Predict Stock Market? (No. Stock Analysis). AC Investment Research.

## Frequently Asked Questions

Q: What is the prediction methodology for PRIF^F stock?A: PRIF^F stock prediction methodology: We evaluate the prediction models Modular Neural Network (DNN Layer) and Linear Regression

Q: Is PRIF^F stock a buy or sell?

A: The dominant strategy among neural network is to Sell PRIF^F Stock.

Q: Is Priority Income Fund Inc. 6.625% Series F Term Preferred Stock due 2027 stock a good investment?

A: The consensus rating for Priority Income Fund Inc. 6.625% Series F Term Preferred Stock due 2027 is Sell and is assigned short-term Ba1 & long-term Ba1 estimated rating.

Q: What is the consensus rating of PRIF^F stock?

A: The consensus rating for PRIF^F is Sell.

Q: What is the prediction period for PRIF^F stock?

A: The prediction period for PRIF^F is (n+8 weeks)