BAC^M Bank of America Corporation Depositary Shares each representing a 1/1000th interest in a share of 5.375% Non-Cumulative Preferred Stock Series KK

Outlook: Bank of America Corporation Depositary Shares each representing a 1/1000th interest in a share of 5.375% Non-Cumulative Preferred Stock Series KK is assigned short-term Ba1 & long-term Ba1 estimated rating.
Dominant Strategy : Hold
Time series to forecast n: 24 Apr 2023 for (n+1 year)
Methodology : Multi-Task Learning (ML)

Abstract

Bank of America Corporation Depositary Shares each representing a 1/1000th interest in a share of 5.375% Non-Cumulative Preferred Stock Series KK prediction model is evaluated with Multi-Task Learning (ML) and Wilcoxon Sign-Rank Test^1,2,3,4 and it is concluded that the BAC^M stock is predictable in the short/long term. According to price forecasts for (n+1 year) period, the dominant strategy among neural network is: Hold

Key Points

1. What is a prediction confidence?
2. Buy, Sell and Hold Signals
3. Can stock prices be predicted?

BAC^M Target Price Prediction Modeling Methodology

We consider Bank of America Corporation Depositary Shares each representing a 1/1000th interest in a share of 5.375% Non-Cumulative Preferred Stock Series KK Decision Process with Multi-Task Learning (ML) where A is the set of discrete actions of BAC^M 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(Wilcoxon Sign-Rank Test)^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(Multi-Task Learning (ML)) X S(n):→ (n+1 year) $\sum _{i=1}^n\left(s_i\right)$

n:Time series to forecast

p:Price signals of BAC^M 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?

BAC^M Stock Forecast (Buy or Sell) for (n+1 year)

Sample Set: Neural Network
Stock/Index: BAC^M Bank of America Corporation Depositary Shares each representing a 1/1000th interest in a share of 5.375% Non-Cumulative Preferred Stock Series KK
Time series to forecast n: 24 Apr 2023 for (n+1 year)

According to price forecasts for (n+1 year) 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 Bank of America Corporation Depositary Shares each representing a 1/1000th interest in a share of 5.375% Non-Cumulative Preferred Stock Series KK

1. The following are examples of when the objective of the entity's business model may be achieved by both collecting contractual cash flows and selling financial assets. This list of examples is not exhaustive. Furthermore, the examples are not intended to describe all the factors that may be relevant to the assessment of the entity's business model nor specify the relative importance of the factors.
2. A contractually specified inflation risk component of the cash flows of a recognised inflation-linked bond (assuming that there is no requirement to account for an embedded derivative separately) is separately identifiable and reliably measurable, as long as other cash flows of the instrument are not affected by the inflation risk component.
3. The definition of a derivative in this Standard includes contracts that are settled gross by delivery of the underlying item (eg a forward contract to purchase a fixed rate debt instrument). An entity may have a contract to buy or sell a non-financial item that can be settled net in cash or another financial instrument or by exchanging financial instruments (eg a contract to buy or sell a commodity at a fixed price at a future date). Such a contract is within the scope of this Standard unless it was entered into and continues to be held for the purpose of delivery of a non-financial item in accordance with the entity's expected purchase, sale or usage requirements. However, this Standard applies to such contracts for an entity's expected purchase, sale or usage requirements if the entity makes a designation in accordance with paragraph 2.5 (see paragraphs 2.4–2.7).
4. Adjusting the hedge ratio by decreasing the volume of the hedged item does not affect how the changes in the fair value of the hedging instrument are measured. The measurement of the changes in the value of the hedged item related to the volume that continues to be designated also remains unaffected. However, from the date of rebalancing, the volume by which the hedged item was decreased is no longer part of the hedging relationship. For example, if an entity originally hedged a volume of 100 tonnes of a commodity at a forward price of CU80 and reduces that volume by 10 tonnes on rebalancing, the hedged item after rebalancing would be 90 tonnes hedged at CU80. The 10 tonnes of the hedged item that are no longer part of the hedging relationship would be accounted for in accordance with the requirements for the discontinuation of hedge accounting (see paragraphs 6.5.6–6.5.7 and B6.5.22–B6.5.28).

*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

Bank of America Corporation Depositary Shares each representing a 1/1000th interest in a share of 5.375% Non-Cumulative Preferred Stock Series KK is assigned short-term Ba1 & long-term Ba1 estimated rating. Bank of America Corporation Depositary Shares each representing a 1/1000th interest in a share of 5.375% Non-Cumulative Preferred Stock Series KK prediction model is evaluated with Multi-Task Learning (ML) and Wilcoxon Sign-Rank Test^1,2,3,4 and it is concluded that the BAC^M stock is predictable in the short/long term. According to price forecasts for (n+1 year) period, the dominant strategy among neural network is: Hold

BAC^M Bank of America Corporation Depositary Shares each representing a 1/1000th interest in a share of 5.375% Non-Cumulative Preferred Stock Series KK Financial Analysis*

Rating	Short-Term	Long-Term Senior
Outlook*	Ba1	Ba1
Income Statement	B1	Ba2
Balance Sheet	C	C
Leverage Ratios	B3	B2
Cash Flow	Ba3	B2
Rates of Return and Profitability	Ba2	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

Trust metric by Neural Network: 78 out of 100 with 867 signals.

References

1. Wan M, Wang D, Goldman M, Taddy M, Rao J, et al. 2017. Modeling consumer preferences and price sensitiv- ities from large-scale grocery shopping transaction logs. In Proceedings of the 26th International Conference on the World Wide Web, pp. 1103–12. New York: ACM
2. O. Bardou, N. Frikha, and G. Pag`es. Computing VaR and CVaR using stochastic approximation and adaptive unconstrained importance sampling. Monte Carlo Methods and Applications, 15(3):173–210, 2009.
3. N. B ̈auerle and J. Ott. Markov decision processes with average-value-at-risk criteria. Mathematical Methods of Operations Research, 74(3):361–379, 2011
4. N. B ̈auerle and A. Mundt. Dynamic mean-risk optimization in a binomial model. Mathematical Methods of Operations Research, 70(2):219–239, 2009.
5. Andrews, D. W. K. W. Ploberger (1994), "Optimal tests when a nuisance parameter is present only under the alternative," Econometrica, 62, 1383–1414.
6. Robins J, Rotnitzky A. 1995. Semiparametric efficiency in multivariate regression models with missing data. J. Am. Stat. Assoc. 90:122–29
7. F. A. Oliehoek, M. T. J. Spaan, and N. A. Vlassis. Optimal and approximate q-value functions for decentralized pomdps. J. Artif. Intell. Res. (JAIR), 32:289–353, 2008

Frequently Asked Questions

Q: What is the prediction methodology for BAC^M stock?
A: BAC^M stock prediction methodology: We evaluate the prediction models Multi-Task Learning (ML) and Wilcoxon Sign-Rank Test
Q: Is BAC^M stock a buy or sell?
A: The dominant strategy among neural network is to Hold BAC^M Stock.
Q: Is Bank of America Corporation Depositary Shares each representing a 1/1000th interest in a share of 5.375% Non-Cumulative Preferred Stock Series KK stock a good investment?
A: The consensus rating for Bank of America Corporation Depositary Shares each representing a 1/1000th interest in a share of 5.375% Non-Cumulative Preferred Stock Series KK is Hold and is assigned short-term Ba1 & long-term Ba1 estimated rating.
Q: What is the consensus rating of BAC^M stock?
A: The consensus rating for BAC^M is Hold.
Q: What is the prediction period for BAC^M stock?
A: The prediction period for BAC^M is (n+1 year)

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