FHN^C First Horizon Corporation Depositary Shares each representing a 1/400th interest in a share of Non-Cumulative Perpetual Preferred Stock Series C

Outlook: First Horizon Corporation Depositary Shares each representing a 1/400th interest in a share of Non-Cumulative Perpetual Preferred Stock Series C is assigned short-term Ba1 & long-term Ba1 estimated rating.
Dominant Strategy : Hold
Time series to forecast n: 15 Feb 2023 for (n+6 month)
Methodology : Modular Neural Network (News Feed Sentiment Analysis)

Abstract

First Horizon Corporation Depositary Shares each representing a 1/400th interest in a share of Non-Cumulative Perpetual Preferred Stock Series C prediction model is evaluated with Modular Neural Network (News Feed Sentiment Analysis) and Beta^1,2,3,4 and it is concluded that the FHN^C stock is predictable in the short/long term. According to price forecasts for (n+6 month) period, the dominant strategy among neural network is: Hold

Key Points

1. What are main components of Markov decision process?
2. Short/Long Term Stocks
3. Fundemental Analysis with Algorithmic Trading

FHN^C Target Price Prediction Modeling Methodology

We consider First Horizon Corporation Depositary Shares each representing a 1/400th interest in a share of Non-Cumulative Perpetual Preferred Stock Series C Decision Process with Modular Neural Network (News Feed Sentiment Analysis) where A is the set of discrete actions of FHN^C 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(Beta)^5,6,7= $\begin{array}{cccc}{p}_{\mathrm{a}1}& p_{\mathrm{a}2}& \dots & p_{1n}\\ & ⋮\\ p_{j1}& p_{j2}& \dots & p_{jn}\\ & ⋮\\ p_{k1}& p_{k2}& \dots & p_{kn}\\ & ⋮\\ p_{n1}& p_{n2}& \dots & p_{nn}\end{array}$ X R(Modular Neural Network (News Feed Sentiment Analysis)) X S(n):→ (n+6 month) $\sum _{i=1}^n\left(a_i\right)$

n:Time series to forecast

p:Price signals of FHN^C 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?

FHN^C Stock Forecast (Buy or Sell) for (n+6 month)

Sample Set: Neural Network
Stock/Index: FHN^C First Horizon Corporation Depositary Shares each representing a 1/400th interest in a share of Non-Cumulative Perpetual Preferred Stock Series C
Time series to forecast n: 15 Feb 2023 for (n+6 month)

According to price forecasts for (n+6 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 First Horizon Corporation Depositary Shares each representing a 1/400th interest in a share of Non-Cumulative Perpetual Preferred Stock Series C

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. 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
3. An alternative benchmark rate designated as a non-contractually specified risk component that is not separately identifiable (see paragraphs 6.3.7(a) and B6.3.8) at the date it is designated shall be deemed to have met that requirement at that date, if, and only if, the entity reasonably expects the alternative benchmark rate will be separately identifiable within 24 months. The 24-month period applies to each alternative benchmark rate separately and starts from the date the entity designates the alternative benchmark rate as a non-contractually specified risk component for the first time (ie the 24- month period applies on a rate-by-rate basis).
4. IFRS 16, issued in January 2016, amended paragraphs 2.1, 5.5.15, B4.3.8, B5.5.34 and B5.5.46. An entity shall apply those amendments when it applies IFRS 16.

*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

First Horizon Corporation Depositary Shares each representing a 1/400th interest in a share of Non-Cumulative Perpetual Preferred Stock Series C is assigned short-term Ba1 & long-term Ba1 estimated rating. First Horizon Corporation Depositary Shares each representing a 1/400th interest in a share of Non-Cumulative Perpetual Preferred Stock Series C prediction model is evaluated with Modular Neural Network (News Feed Sentiment Analysis) and Beta^1,2,3,4 and it is concluded that the FHN^C stock is predictable in the short/long term. According to price forecasts for (n+6 month) period, the dominant strategy among neural network is: Hold

FHN^C First Horizon Corporation Depositary Shares each representing a 1/400th interest in a share of Non-Cumulative Perpetual Preferred Stock Series C Financial Analysis*

Rating	Short-Term	Long-Term Senior
Outlook*	Ba1	Ba1
Income Statement	B2	B2
Balance Sheet	Baa2	C
Leverage Ratios	Baa2	Baa2
Cash Flow	Baa2	B3
Rates of Return and Profitability	Baa2	Caa2

*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: 83 out of 100 with 555 signals.

References

1. S. J. Russell and A. Zimdars. Q-decomposition for reinforcement learning agents. In Machine Learning, Proceedings of the Twentieth International Conference (ICML 2003), August 21-24, 2003, Washington, DC, USA, pages 656–663, 2003.
2. Artis, M. J. W. Zhang (1990), "BVAR forecasts for the G-7," International Journal of Forecasting, 6, 349–362.
3. Bengio Y, Schwenk H, Senécal JS, Morin F, Gauvain JL. 2006. Neural probabilistic language models. In Innovations in Machine Learning: Theory and Applications, ed. DE Holmes, pp. 137–86. Berlin: Springer
4. Athey S, Wager S. 2017. Efficient policy learning. arXiv:1702.02896 [math.ST]
5. V. Borkar and R. Jain. Risk-constrained Markov decision processes. IEEE Transaction on Automatic Control, 2014
6. Cheung, Y. M.D. Chinn (1997), "Further investigation of the uncertain unit root in GNP," Journal of Business and Economic Statistics, 15, 68–73.
7. Chernozhukov V, Escanciano JC, Ichimura H, Newey WK. 2016b. Locally robust semiparametric estimation. arXiv:1608.00033 [math.ST]

Frequently Asked Questions

Q: What is the prediction methodology for FHN^C stock?
A: FHN^C stock prediction methodology: We evaluate the prediction models Modular Neural Network (News Feed Sentiment Analysis) and Beta
Q: Is FHN^C stock a buy or sell?
A: The dominant strategy among neural network is to Hold FHN^C Stock.
Q: Is First Horizon Corporation Depositary Shares each representing a 1/400th interest in a share of Non-Cumulative Perpetual Preferred Stock Series C stock a good investment?
A: The consensus rating for First Horizon Corporation Depositary Shares each representing a 1/400th interest in a share of Non-Cumulative Perpetual Preferred Stock Series C is Hold and is assigned short-term Ba1 & long-term Ba1 estimated rating.
Q: What is the consensus rating of FHN^C stock?
A: The consensus rating for FHN^C is Hold.
Q: What is the prediction period for FHN^C stock?
A: The prediction period for FHN^C is (n+6 month)

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