Modelling A.I. in Economics

HTIBP Healthcare Trust Inc. 7.125% Series B Cumulative Redeemable Perpetual Preferred Stock (Forecast)

Outlook: Healthcare Trust Inc. 7.125% Series B Cumulative Redeemable Perpetual Preferred Stock is assigned short-term Ba1 & long-term Ba1 estimated rating.
Dominant Strategy : Hold
Time series to forecast n: 23 Apr 2023 for (n+3 month)
Methodology : Active Learning (ML)

Abstract

Healthcare Trust Inc. 7.125% Series B Cumulative Redeemable Perpetual Preferred Stock prediction model is evaluated with Active Learning (ML) and Ridge Regression1,2,3,4 and it is concluded that the HTIBP stock is predictable in the short/long term. According to price forecasts for (n+3 month) period, the dominant strategy among neural network is: Hold

Key Points

  1. What is Markov decision process in reinforcement learning?
  2. Game Theory
  3. Trading Interaction

HTIBP Target Price Prediction Modeling Methodology

We consider Healthcare Trust Inc. 7.125% Series B Cumulative Redeemable Perpetual Preferred Stock Decision Process with Active Learning (ML) where A is the set of discrete actions of HTIBP 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(Ridge 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(Active Learning (ML)) X S(n):→ (n+3 month) S = s 1 s 2 s 3

n:Time series to forecast

p:Price signals of HTIBP 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?

HTIBP Stock Forecast (Buy or Sell) for (n+3 month)

Sample Set: Neural Network
Stock/Index: HTIBP Healthcare Trust Inc. 7.125% Series B Cumulative Redeemable Perpetual Preferred Stock
Time series to forecast n: 23 Apr 2023 for (n+3 month)

According to price forecasts for (n+3 month) period, the dominant strategy among neural network is: Hold

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 Healthcare Trust Inc. 7.125% Series B Cumulative Redeemable Perpetual Preferred Stock

  1. Unless paragraph 6.8.8 applies, for a hedge of a non-contractually specified benchmark component of interest rate risk, an entity shall apply the requirement in paragraphs 6.3.7(a) and B6.3.8—that the risk component shall be separately identifiable—only at the inception of the hedging relationship.
  2. An entity shall assess whether contractual cash flows are solely payments of principal and interest on the principal amount outstanding for the currency in which the financial asset is denominated.
  3. An entity that first applies IFRS 17 as amended in June 2020 after it first applies this Standard shall apply paragraphs 7.2.39–7.2.42. The entity shall also apply the other transition requirements in this Standard necessary for applying these amendments. For that purpose, references to the date of initial application shall be read as referring to the beginning of the reporting period in which an entity first applies these amendments (date of initial application of these amendments).
  4. The underlying pool must contain one or more instruments that have contractual cash flows that are solely payments of principal and interest on the principal amount outstanding

*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

Healthcare Trust Inc. 7.125% Series B Cumulative Redeemable Perpetual Preferred Stock is assigned short-term Ba1 & long-term Ba1 estimated rating. Healthcare Trust Inc. 7.125% Series B Cumulative Redeemable Perpetual Preferred Stock prediction model is evaluated with Active Learning (ML) and Ridge Regression1,2,3,4 and it is concluded that the HTIBP stock is predictable in the short/long term. According to price forecasts for (n+3 month) period, the dominant strategy among neural network is: Hold

HTIBP Healthcare Trust Inc. 7.125% Series B Cumulative Redeemable Perpetual Preferred Stock Financial Analysis*

Rating Short-Term Long-Term Senior
Outlook*Ba1Ba1
Income StatementBaa2Baa2
Balance SheetB1B2
Leverage RatiosCBaa2
Cash FlowBaa2B2
Rates of Return and ProfitabilityBaa2Baa2

*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: 93 out of 100 with 830 signals.

References

  1. Belsley, D. A. (1988), "Modelling and forecast reliability," International Journal of Forecasting, 4, 427–447.
  2. Abadie A, Diamond A, Hainmueller J. 2015. Comparative politics and the synthetic control method. Am. J. Political Sci. 59:495–510
  3. K. Boda, J. Filar, Y. Lin, and L. Spanjers. Stochastic target hitting time and the problem of early retirement. Automatic Control, IEEE Transactions on, 49(3):409–419, 2004
  4. Allen, P. G. (1994), "Economic forecasting in agriculture," International Journal of Forecasting, 10, 81–135.
  5. Burgess, D. F. (1975), "Duality theory and pitfalls in the specification of technologies," Journal of Econometrics, 3, 105–121.
  6. Meinshausen N. 2007. Relaxed lasso. Comput. Stat. Data Anal. 52:374–93
  7. A. Eck, L. Soh, S. Devlin, and D. Kudenko. Potential-based reward shaping for finite horizon online POMDP planning. Autonomous Agents and Multi-Agent Systems, 30(3):403–445, 2016
Frequently Asked QuestionsQ: What is the prediction methodology for HTIBP stock?
A: HTIBP stock prediction methodology: We evaluate the prediction models Active Learning (ML) and Ridge Regression
Q: Is HTIBP stock a buy or sell?
A: The dominant strategy among neural network is to Hold HTIBP Stock.
Q: Is Healthcare Trust Inc. 7.125% Series B Cumulative Redeemable Perpetual Preferred Stock stock a good investment?
A: The consensus rating for Healthcare Trust Inc. 7.125% Series B Cumulative Redeemable Perpetual Preferred Stock is Hold and is assigned short-term Ba1 & long-term Ba1 estimated rating.
Q: What is the consensus rating of HTIBP stock?
A: The consensus rating for HTIBP is Hold.
Q: What is the prediction period for HTIBP stock?
A: The prediction period for HTIBP is (n+3 month)

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