**Outlook:**First Horizon Corporation Depositary Shares each representing a 1/400th interest in a share of Non-Cumulative Perpetual Preferred Stock Series D is assigned short-term Ba1 & long-term Ba1 estimated rating.

**Dominant Strategy :**Hold

**Time series to forecast n: 21 Mar 2023**for (n+4 weeks)

**Methodology :**Multi-Instance Learning (ML)

## Abstract

First Horizon Corporation Depositary Shares each representing a 1/400th interest in a share of Non-Cumulative Perpetual Preferred Stock Series D prediction model is evaluated with Multi-Instance Learning (ML) and Multiple Regression^{1,2,3,4}and it is concluded that the FHN^D stock is predictable in the short/long term.

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

## Key Points

- What is statistical models in machine learning?
- Can machine learning predict?
- What is prediction model?

## FHN^D 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 D Decision Process with Multi-Instance Learning (ML) where A is the set of discrete actions of FHN^D 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(Multiple 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(Multi-Instance Learning (ML)) X S(n):→ (n+4 weeks) $\sum _{i=1}^{n}\left({s}_{i}\right)$

n:Time series to forecast

p:Price signals of FHN^D 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^D Stock Forecast (Buy or Sell) for (n+4 weeks)

**Sample Set:**Neural Network

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

**Time series to forecast n: 21 Mar 2023**for (n+4 weeks)

**According to price forecasts for (n+4 weeks) 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 D

- A portfolio of financial assets that is managed and whose performance is evaluated on a fair value basis (as described in paragraph 4.2.2(b)) is neither held to collect contractual cash flows nor held both to collect contractual cash flows and to sell financial assets. The entity is primarily focused on fair value information and uses that information to assess the assets' performance and to make decisions. In addition, a portfolio of financial assets that meets the definition of held for trading is not held to collect contractual cash flows or held both to collect contractual cash flows and to sell financial assets. For such portfolios, the collection of contractual cash flows is only incidental to achieving the business model's objective. Consequently, such portfolios of financial assets must be measured at fair value through profit or loss.
- For hedges other than hedges of foreign currency risk, when an entity designates a non-derivative financial asset or a non-derivative financial liability measured at fair value through profit or loss as a hedging instrument, it may only designate the non-derivative financial instrument in its entirety or a proportion of it.
- 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.
- There are two types of components of nominal amounts that can be designated as the hedged item in a hedging relationship: a component that is a proportion of an entire item or a layer component. The type of component changes the accounting outcome. An entity shall designate the component for accounting purposes consistently with its risk management objective.

*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 D 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 D prediction model is evaluated with Multi-Instance Learning (ML) and Multiple Regression^{1,2,3,4} and it is concluded that the FHN^D stock is predictable in the short/long term. ** According to price forecasts for (n+4 weeks) period, the dominant strategy among neural network is: Hold**

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

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

Outlook* | Ba1 | Ba1 |

Income Statement | Caa2 | C |

Balance Sheet | Ba3 | Baa2 |

Leverage Ratios | C | Caa2 |

Cash Flow | Ba3 | Baa2 |

Rates of Return and Profitability | Baa2 | C |

*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

- Abadir, K. M., K. Hadri E. Tzavalis (1999), "The influence of VAR dimensions on estimator biases," Econometrica, 67, 163–181.
- C. Szepesvári. Algorithms for Reinforcement Learning. Synthesis Lectures on Artificial Intelligence and Machine Learning. Morgan & Claypool Publishers, 2010
- Chipman HA, George EI, McCulloch RE. 2010. Bart: Bayesian additive regression trees. Ann. Appl. Stat. 4:266–98
- Kallus N. 2017. Balanced policy evaluation and learning. arXiv:1705.07384 [stat.ML]
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- Doudchenko N, Imbens GW. 2016. Balancing, regression, difference-in-differences and synthetic control methods: a synthesis. NBER Work. Pap. 22791

## Frequently Asked Questions

Q: What is the prediction methodology for FHN^D stock?A: FHN^D stock prediction methodology: We evaluate the prediction models Multi-Instance Learning (ML) and Multiple Regression

Q: Is FHN^D stock a buy or sell?

A: The dominant strategy among neural network is to Hold FHN^D Stock.

Q: Is First Horizon Corporation Depositary Shares each representing a 1/400th interest in a share of Non-Cumulative Perpetual Preferred Stock Series D 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 D is Hold and is assigned short-term Ba1 & long-term Ba1 estimated rating.

Q: What is the consensus rating of FHN^D stock?

A: The consensus rating for FHN^D is Hold.

Q: What is the prediction period for FHN^D stock?

A: The prediction period for FHN^D is (n+4 weeks)