Outlook: Truist Financial Corporation Depositary Shares Each Representing a 1/1000th Interest in a Share of Series O Non-Cumulative Perpetual Preferred Stock is assigned short-term Ba1 & long-term Ba1 estimated rating.
Dominant Strategy : Sell
Time series to forecast n: 22 Feb 2023 for (n+4 weeks)
Methodology : Supervised Machine Learning (ML)

## Abstract

Truist Financial Corporation Depositary Shares Each Representing a 1/1000th Interest in a Share of Series O Non-Cumulative Perpetual Preferred Stock prediction model is evaluated with Supervised Machine Learning (ML) and Beta1,2,3,4 and it is concluded that the TFC^O stock is predictable in the short/long term. According to price forecasts for (n+4 weeks) period, the dominant strategy among neural network is: Sell

## Key Points

1. Prediction Modeling
2. What are main components of Markov decision process?
3. What is prediction in deep learning?

## TFC^O Target Price Prediction Modeling Methodology

We consider Truist Financial Corporation Depositary Shares Each Representing a 1/1000th Interest in a Share of Series O Non-Cumulative Perpetual Preferred Stock Decision Process with Supervised Machine Learning (ML) where A is the set of discrete actions of TFC^O 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= $\begin{array}{cccc}{p}_{a1}& {p}_{a2}& \dots & {p}_{1n}\\ & ⋮\\ {p}_{j1}& {p}_{j2}& \dots & {p}_{jn}\\ & ⋮\\ {p}_{k1}& {p}_{k2}& \dots & {p}_{kn}\\ & ⋮\\ {p}_{n1}& {p}_{n2}& \dots & {p}_{nn}\end{array}$ X R(Supervised Machine Learning (ML)) X S(n):→ (n+4 weeks) $\stackrel{\to }{S}=\left({s}_{1},{s}_{2},{s}_{3}\right)$

n:Time series to forecast

p:Price signals of TFC^O 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?

## TFC^O Stock Forecast (Buy or Sell) for (n+4 weeks)

Sample Set: Neural Network
Stock/Index: TFC^O Truist Financial Corporation Depositary Shares Each Representing a 1/1000th Interest in a Share of Series O Non-Cumulative Perpetual Preferred Stock
Time series to forecast n: 22 Feb 2023 for (n+4 weeks)

According to price forecasts for (n+4 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 Truist Financial Corporation Depositary Shares Each Representing a 1/1000th Interest in a Share of Series O Non-Cumulative Perpetual Preferred Stock

1. The rebuttable presumption in paragraph 5.5.11 is not an absolute indicator that lifetime expected credit losses should be recognised, but is presumed to be the latest point at which lifetime expected credit losses should be recognised even when using forward-looking information (including macroeconomic factors on a portfolio level).
2. IFRS 7 defines credit risk as 'the risk that one party to a financial instrument will cause a financial loss for the other party by failing to discharge an obligation'. The requirement in paragraph 5.7.7(a) relates to the risk that the issuer will fail to perform on that particular liability. It does not necessarily relate to the creditworthiness of the issuer. For example, if an entity issues a collateralised liability and a non-collateralised liability that are otherwise identical, the credit risk of those two liabilities will be different, even though they are issued by the same entity. The credit risk on the collateralised liability will be less than the credit risk of the non-collateralised liability. The credit risk for a collateralised liability may be close to zero.
3. To make that determination, an entity must assess whether it expects that the effects of changes in the liability's credit risk will be offset in profit or loss by a change in the fair value of another financial instrument measured at fair value through profit or loss. Such an expectation must be based on an economic relationship between the characteristics of the liability and the characteristics of the other financial instrument.
4. When designating a risk component as a hedged item, the hedge accounting requirements apply to that risk component in the same way as they apply to other hedged items that are not risk components. For example, the qualifying criteria apply, including that the hedging relationship must meet the hedge effectiveness requirements, and any hedge ineffectiveness must be measured and recognised.

*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

Truist Financial Corporation Depositary Shares Each Representing a 1/1000th Interest in a Share of Series O Non-Cumulative Perpetual Preferred Stock is assigned short-term Ba1 & long-term Ba1 estimated rating. Truist Financial Corporation Depositary Shares Each Representing a 1/1000th Interest in a Share of Series O Non-Cumulative Perpetual Preferred Stock prediction model is evaluated with Supervised Machine Learning (ML) and Beta1,2,3,4 and it is concluded that the TFC^O stock is predictable in the short/long term. According to price forecasts for (n+4 weeks) period, the dominant strategy among neural network is: Sell

### TFC^O Truist Financial Corporation Depositary Shares Each Representing a 1/1000th Interest in a Share of Series O Non-Cumulative Perpetual Preferred Stock Financial Analysis*

Rating Short-Term Long-Term Senior
Outlook*Ba1Ba1
Income StatementB2B2
Balance SheetB1Baa2
Leverage RatiosCaa2Ba1
Cash FlowCaa2Baa2
Rates of Return and ProfitabilityB1Ba2

*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: 88 out of 100 with 560 signals.

## References

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2. Çetinkaya, A., Zhang, Y.Z., Hao, Y.M. and Ma, X.Y., When to Sell and When to Hold FTNT Stock. AC Investment Research Journal, 101(3).
3. Breiman L. 1996. Bagging predictors. Mach. Learn. 24:123–40
4. Imbens G, Wooldridge J. 2009. Recent developments in the econometrics of program evaluation. J. Econ. Lit. 47:5–86
5. Sutton RS, Barto AG. 1998. Reinforcement Learning: An Introduction. Cambridge, MA: MIT Press
6. Dimakopoulou M, Zhou Z, Athey S, Imbens G. 2018. Balanced linear contextual bandits. arXiv:1812.06227 [cs.LG]
7. Van der Vaart AW. 2000. Asymptotic Statistics. Cambridge, UK: Cambridge Univ. Press
Frequently Asked QuestionsQ: What is the prediction methodology for TFC^O stock?
A: TFC^O stock prediction methodology: We evaluate the prediction models Supervised Machine Learning (ML) and Beta
Q: Is TFC^O stock a buy or sell?
A: The dominant strategy among neural network is to Sell TFC^O Stock.
Q: Is Truist Financial Corporation Depositary Shares Each Representing a 1/1000th Interest in a Share of Series O Non-Cumulative Perpetual Preferred Stock stock a good investment?
A: The consensus rating for Truist Financial Corporation Depositary Shares Each Representing a 1/1000th Interest in a Share of Series O Non-Cumulative Perpetual Preferred Stock is Sell and is assigned short-term Ba1 & long-term Ba1 estimated rating.
Q: What is the consensus rating of TFC^O stock?
A: The consensus rating for TFC^O is Sell.
Q: What is the prediction period for TFC^O stock?
A: The prediction period for TFC^O is (n+4 weeks)