BML^G Bank of America Corporation Bank of America Corporation Depositary Shares (Each representing a 1/1200th interest in a share of Floating Rate Non-Cumulative Preferred Stock Series 1)

Outlook: Bank of America Corporation Bank of America Corporation Depositary Shares (Each representing a 1/1200th interest in a share of Floating Rate Non-Cumulative Preferred Stock Series 1) is assigned short-term Ba1 & long-term Ba1 estimated rating.
Dominant Strategy : Hold
Time series to forecast n: 22 Mar 2023 for (n+8 weeks)
Methodology : Inductive Learning (ML)

Abstract

Bank of America Corporation Bank of America Corporation Depositary Shares (Each representing a 1/1200th interest in a share of Floating Rate Non-Cumulative Preferred Stock Series 1) prediction model is evaluated with Inductive Learning (ML) and Spearman Correlation^1,2,3,4 and it is concluded that the BML^G stock is predictable in the short/long term. According to price forecasts for (n+8 weeks) period, the dominant strategy among neural network is: Hold

Key Points

1. Trading Signals
2. How do predictive algorithms actually work?
3. Is Target price a good indicator?

BML^G Target Price Prediction Modeling Methodology

We consider Bank of America Corporation Bank of America Corporation Depositary Shares (Each representing a 1/1200th interest in a share of Floating Rate Non-Cumulative Preferred Stock Series 1) Decision Process with Inductive Learning (ML) where A is the set of discrete actions of BML^G 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= $\begin{array}{cccc}{p}_{\mathrm{a}1}& p_{\mathrm{a}2}& \dots & p_{1n}\\ & ⋮\\ p_{j1}& p_{j2}& \dots & p_{jn}\\ & ⋮\\ p_{k1}& p_{k2}& \dots & p_{kn}\\ & ⋮\\ p_{n1}& p_{n2}& \dots & p_{nn}\end{array}$ X R(Inductive Learning (ML)) X S(n):→ (n+8 weeks) $\overrightarrow{S}=\left(s_1,s_2,s_3\right)$

n:Time series to forecast

p:Price signals of BML^G 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?

BML^G Stock Forecast (Buy or Sell) for (n+8 weeks)

Sample Set: Neural Network
Stock/Index: BML^G Bank of America Corporation Bank of America Corporation Depositary Shares (Each representing a 1/1200th interest in a share of Floating Rate Non-Cumulative Preferred Stock Series 1)
Time series to forecast n: 22 Mar 2023 for (n+8 weeks)

According to price forecasts for (n+8 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 Bank of America Corporation Bank of America Corporation Depositary Shares (Each representing a 1/1200th interest in a share of Floating Rate Non-Cumulative Preferred Stock Series 1)

1. If a put option obligation written by an entity or call option right held by an entity prevents a transferred asset from being derecognised and the entity measures the transferred asset at amortised cost, the associated liability is measured at its cost (ie the consideration received) adjusted for the amortisation of any difference between that cost and the gross carrying amount of the transferred asset at the expiration date of the option. For example, assume that the gross carrying amount of the asset on the date of the transfer is CU98 and that the consideration received is CU95. The gross carrying amount of the asset on the option exercise date will be CU100. The initial carrying amount of the associated liability is CU95 and the difference between CU95 and CU100 is recognised in profit or loss using the effective interest method. If the option is exercised, any difference between the carrying amount of the associated liability and the exercise price is recognised in profit or loss.
2. 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.
3. To be eligible for designation as a hedged item, a risk component must be a separately identifiable component of the financial or the non-financial item, and the changes in the cash flows or the fair value of the item attributable to changes in that risk component must be reliably measurable.
4. All investments in equity instruments and contracts on those instruments must be measured at fair value. However, in limited circumstances, cost may be an appropriate estimate of fair value. That may be the case if insufficient more recent information is available to measure fair value, or if there is a wide range of possible fair value measurements and cost represents the best estimate of fair value within that range.

*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 Bank of America Corporation Depositary Shares (Each representing a 1/1200th interest in a share of Floating Rate Non-Cumulative Preferred Stock Series 1) is assigned short-term Ba1 & long-term Ba1 estimated rating. Bank of America Corporation Bank of America Corporation Depositary Shares (Each representing a 1/1200th interest in a share of Floating Rate Non-Cumulative Preferred Stock Series 1) prediction model is evaluated with Inductive Learning (ML) and Spearman Correlation^1,2,3,4 and it is concluded that the BML^G stock is predictable in the short/long term. According to price forecasts for (n+8 weeks) period, the dominant strategy among neural network is: Hold

BML^G Bank of America Corporation Bank of America Corporation Depositary Shares (Each representing a 1/1200th interest in a share of Floating Rate Non-Cumulative Preferred Stock Series 1) Financial Analysis*

Rating	Short-Term	Long-Term Senior
Outlook*	Ba1	Ba1
Income Statement	B1	C
Balance Sheet	B3	Caa2
Leverage Ratios	C	C
Cash Flow	C	C
Rates of Return and Profitability	Baa2	B3

*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: 73 out of 100 with 703 signals.

References

1. Breiman L. 1993. Better subset selection using the non-negative garotte. Tech. Rep., Univ. Calif., Berkeley
2. Clements, M. P. D. F. Hendry (1997), "An empirical study of seasonal unit roots in forecasting," International Journal of Forecasting, 13, 341–355.
3. Mikolov T, Chen K, Corrado GS, Dean J. 2013a. Efficient estimation of word representations in vector space. arXiv:1301.3781 [cs.CL]
4. Imai K, Ratkovic M. 2013. Estimating treatment effect heterogeneity in randomized program evaluation. Ann. Appl. Stat. 7:443–70
5. Challen, D. W. A. J. Hagger (1983), Macroeconomic Systems: Construction, Validation and Applications. New York: St. Martin's Press.
6. G. Theocharous and A. Hallak. Lifetime value marketing using reinforcement learning. RLDM 2013, page 19, 2013
7. P. Milgrom and I. Segal. Envelope theorems for arbitrary choice sets. Econometrica, 70(2):583–601, 2002

Frequently Asked Questions

Q: What is the prediction methodology for BML^G stock?
A: BML^G stock prediction methodology: We evaluate the prediction models Inductive Learning (ML) and Spearman Correlation
Q: Is BML^G stock a buy or sell?
A: The dominant strategy among neural network is to Hold BML^G Stock.
Q: Is Bank of America Corporation Bank of America Corporation Depositary Shares (Each representing a 1/1200th interest in a share of Floating Rate Non-Cumulative Preferred Stock Series 1) stock a good investment?
A: The consensus rating for Bank of America Corporation Bank of America Corporation Depositary Shares (Each representing a 1/1200th interest in a share of Floating Rate Non-Cumulative Preferred Stock Series 1) is Hold and is assigned short-term Ba1 & long-term Ba1 estimated rating.
Q: What is the consensus rating of BML^G stock?
A: The consensus rating for BML^G is Hold.
Q: What is the prediction period for BML^G stock?
A: The prediction period for BML^G is (n+8 weeks)

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