Modelling A.I. in Economics

PRIF^H Priority Income Fund Inc. 6.00% Series H Term Preferred Stock due 2026

Outlook: Priority Income Fund Inc. 6.00% Series H Term Preferred Stock due 2026 is assigned short-term Ba1 & long-term Ba1 estimated rating.
Dominant Strategy : Sell
Time series to forecast n: 20 Jan 2023 for (n+8 weeks)
Methodology : Modular Neural Network (CNN Layer)

Abstract

Priority Income Fund Inc. 6.00% Series H Term Preferred Stock due 2026 prediction model is evaluated with Modular Neural Network (CNN Layer) and ElasticNet Regression1,2,3,4 and it is concluded that the PRIF^H 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

  1. What are the most successful trading algorithms?
  2. Trust metric by Neural Network
  3. Game Theory

PRIF^H Target Price Prediction Modeling Methodology

We consider Priority Income Fund Inc. 6.00% Series H Term Preferred Stock due 2026 Decision Process with Modular Neural Network (CNN Layer) where A is the set of discrete actions of PRIF^H 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(ElasticNet Regression)5,6,7= p a 1 p a 2 p 1 n p j 1 p j 2 p j n p k 1 p k 2 p k n p n 1 p n 2 p n n X R(Modular Neural Network (CNN Layer)) X S(n):→ (n+8 weeks) S = s 1 s 2 s 3

n:Time series to forecast

p:Price signals of PRIF^H 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^H Stock Forecast (Buy or Sell) for (n+8 weeks)

Sample Set: Neural Network
Stock/Index: PRIF^H Priority Income Fund Inc. 6.00% Series H Term Preferred Stock due 2026
Time series to forecast n: 20 Jan 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. 6.00% Series H Term Preferred Stock due 2026

  1. When measuring a loss allowance for a lease receivable, the cash flows used for determining the expected credit losses should be consistent with the cash flows used in measuring the lease receivable in accordance with IFRS 16 Leases.
  2. 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.
  3. In addition to those hedging relationships specified in paragraph 6.9.1, an entity shall apply the requirements in paragraphs 6.9.11 and 6.9.12 to new hedging relationships in which an alternative benchmark rate is designated as a non-contractually specified risk component (see paragraphs 6.3.7(a) and B6.3.8) when, because of interest rate benchmark reform, that risk component is not separately identifiable at the date it is designated.
  4. The following are examples of when the objective of the entity's business model may be achieved by both collecting contractual cash flows and selling financial assets. This list of examples is not exhaustive. Furthermore, the examples are not intended to describe all the factors that may be relevant to the assessment of the entity's business model nor specify the relative importance of the factors.

*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. 6.00% Series H Term Preferred Stock due 2026 is assigned short-term Ba1 & long-term Ba1 estimated rating. Priority Income Fund Inc. 6.00% Series H Term Preferred Stock due 2026 prediction model is evaluated with Modular Neural Network (CNN Layer) and ElasticNet Regression1,2,3,4 and it is concluded that the PRIF^H 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^H Priority Income Fund Inc. 6.00% Series H Term Preferred Stock due 2026 Financial Analysis*

Rating Short-Term Long-Term Senior
Outlook*Ba1Ba1
Income StatementB3Caa2
Balance SheetCBaa2
Leverage RatiosB3Caa2
Cash FlowB3Baa2
Rates of Return and ProfitabilityCBaa2

*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: 90 out of 100 with 622 signals.

References

  1. Zubizarreta JR. 2015. Stable weights that balance covariates for estimation with incomplete outcome data. J. Am. Stat. Assoc. 110:910–22
  2. Mnih A, Teh YW. 2012. A fast and simple algorithm for training neural probabilistic language models. In Proceedings of the 29th International Conference on Machine Learning, pp. 419–26. La Jolla, CA: Int. Mach. Learn. Soc.
  3. Y. Chow and M. Ghavamzadeh. Algorithms for CVaR optimization in MDPs. In Advances in Neural Infor- mation Processing Systems, pages 3509–3517, 2014.
  4. Artis, M. J. W. Zhang (1990), "BVAR forecasts for the G-7," International Journal of Forecasting, 6, 349–362.
  5. V. Borkar. A sensitivity formula for the risk-sensitive cost and the actor-critic algorithm. Systems & Control Letters, 44:339–346, 2001
  6. Imai K, Ratkovic M. 2013. Estimating treatment effect heterogeneity in randomized program evaluation. Ann. Appl. Stat. 7:443–70
  7. Vilnis L, McCallum A. 2015. Word representations via Gaussian embedding. arXiv:1412.6623 [cs.CL]
Frequently Asked QuestionsQ: What is the prediction methodology for PRIF^H stock?
A: PRIF^H stock prediction methodology: We evaluate the prediction models Modular Neural Network (CNN Layer) and ElasticNet Regression
Q: Is PRIF^H stock a buy or sell?
A: The dominant strategy among neural network is to Sell PRIF^H Stock.
Q: Is Priority Income Fund Inc. 6.00% Series H Term Preferred Stock due 2026 stock a good investment?
A: The consensus rating for Priority Income Fund Inc. 6.00% Series H Term Preferred Stock due 2026 is Sell and is assigned short-term Ba1 & long-term Ba1 estimated rating.
Q: What is the consensus rating of PRIF^H stock?
A: The consensus rating for PRIF^H is Sell.
Q: What is the prediction period for PRIF^H stock?
A: The prediction period for PRIF^H is (n+8 weeks)



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