Modelling A.I. in Economics

HTIA Healthcare Trust Inc. 7.375% Series A Cumulative Redeemable Perpetual Preferred Stock (Forecast)

Outlook: Healthcare Trust Inc. 7.375% Series A Cumulative Redeemable Perpetual Preferred Stock is assigned short-term Ba1 & long-term Ba1 estimated rating.
Dominant Strategy : Buy
Time series to forecast n: 04 Apr 2023 for (n+4 weeks)
Methodology : Active Learning (ML)

Abstract

Healthcare Trust Inc. 7.375% Series A Cumulative Redeemable Perpetual Preferred Stock prediction model is evaluated with Active Learning (ML) and Spearman Correlation1,2,3,4 and it is concluded that the HTIA stock is predictable in the short/long term. According to price forecasts for (n+4 weeks) period, the dominant strategy among neural network is: Buy

Key Points

  1. Can neural networks predict stock market?
  2. Is it better to buy and sell or hold?
  3. Short/Long Term Stocks

HTIA Target Price Prediction Modeling Methodology

We consider Healthcare Trust Inc. 7.375% Series A Cumulative Redeemable Perpetual Preferred Stock Decision Process with Active Learning (ML) where A is the set of discrete actions of HTIA 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(Spearman Correlation)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+4 weeks) i = 1 n s i

n:Time series to forecast

p:Price signals of HTIA 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?

HTIA Stock Forecast (Buy or Sell) for (n+4 weeks)

Sample Set: Neural Network
Stock/Index: HTIA Healthcare Trust Inc. 7.375% Series A Cumulative Redeemable Perpetual Preferred Stock
Time series to forecast n: 04 Apr 2023 for (n+4 weeks)

According to price forecasts for (n+4 weeks) period, the dominant strategy among neural network is: Buy

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. 7.375% Series A Cumulative Redeemable Perpetual Preferred Stock

  1. When designating risk components as hedged items, an entity considers whether the risk components are explicitly specified in a contract (contractually specified risk components) or whether they are implicit in the fair value or the cash flows of an item of which they are a part (noncontractually specified risk components). Non-contractually specified risk components can relate to items that are not a contract (for example, forecast transactions) or contracts that do not explicitly specify the component (for example, a firm commitment that includes only one single price instead of a pricing formula that references different underlyings)
  2. If an entity prepares interim financial reports in accordance with IAS 34 Interim Financial Reporting the entity need not apply the requirements in this Standard to interim periods prior to the date of initial application if it is impracticable (as defined in IAS 8).
  3. Leverage is a contractual cash flow characteristic of some financial assets. Leverage increases the variability of the contractual cash flows with the result that they do not have the economic characteristics of interest. Stand-alone option, forward and swap contracts are examples of financial assets that include such leverage. Thus, such contracts do not meet the condition in paragraphs 4.1.2(b) and 4.1.2A(b) and cannot be subsequently measured at amortised cost or fair value through other comprehensive income.
  4. The assessment of whether an economic relationship exists includes an analysis of the possible behaviour of the hedging relationship during its term to ascertain whether it can be expected to meet the risk management objective. The mere existence of a statistical correlation between two variables does not, by itself, support a valid conclusion that an economic relationship exists.

*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. 7.375% Series A Cumulative Redeemable Perpetual Preferred Stock is assigned short-term Ba1 & long-term Ba1 estimated rating. Healthcare Trust Inc. 7.375% Series A Cumulative Redeemable Perpetual Preferred Stock prediction model is evaluated with Active Learning (ML) and Spearman Correlation1,2,3,4 and it is concluded that the HTIA stock is predictable in the short/long term. According to price forecasts for (n+4 weeks) period, the dominant strategy among neural network is: Buy

HTIA Healthcare Trust Inc. 7.375% Series A Cumulative Redeemable Perpetual Preferred Stock Financial Analysis*

Rating Short-Term Long-Term Senior
Outlook*Ba1Ba1
Income StatementCBaa2
Balance SheetBa2C
Leverage RatiosBaa2C
Cash FlowBa3Baa2
Rates of Return and ProfitabilityBaa2C

*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: 81 out of 100 with 564 signals.

References

  1. Cheung, Y. M.D. Chinn (1997), "Further investigation of the uncertain unit root in GNP," Journal of Business and Economic Statistics, 15, 68–73.
  2. Cortes C, Vapnik V. 1995. Support-vector networks. Mach. Learn. 20:273–97
  3. Bell RM, Koren Y. 2007. Lessons from the Netflix prize challenge. ACM SIGKDD Explor. Newsl. 9:75–79
  4. 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.
  5. 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
  6. M. Petrik and D. Subramanian. An approximate solution method for large risk-averse Markov decision processes. In Proceedings of the 28th International Conference on Uncertainty in Artificial Intelligence, 2012.
  7. Athey S. 2017. Beyond prediction: using big data for policy problems. Science 355:483–85
Frequently Asked QuestionsQ: What is the prediction methodology for HTIA stock?
A: HTIA stock prediction methodology: We evaluate the prediction models Active Learning (ML) and Spearman Correlation
Q: Is HTIA stock a buy or sell?
A: The dominant strategy among neural network is to Buy HTIA Stock.
Q: Is Healthcare Trust Inc. 7.375% Series A Cumulative Redeemable Perpetual Preferred Stock stock a good investment?
A: The consensus rating for Healthcare Trust Inc. 7.375% Series A Cumulative Redeemable Perpetual Preferred Stock is Buy and is assigned short-term Ba1 & long-term Ba1 estimated rating.
Q: What is the consensus rating of HTIA stock?
A: The consensus rating for HTIA is Buy.
Q: What is the prediction period for HTIA stock?
A: The prediction period for HTIA is (n+4 weeks)

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