Outlook: Bank of Hawaii Corporation Depositary Shares Each Representing a 1/40th Interest in a Share of 4.375% Fixed Rate Non-Cumulative Perpetual Preferred Stock Series A is assigned short-term Ba1 & long-term Ba1 estimated rating.
Time series to forecast n: 25 Feb 2023 for (n+1 year)
Methodology : Ensemble Learning (ML)

## Abstract

Bank of Hawaii Corporation Depositary Shares Each Representing a 1/40th Interest in a Share of 4.375% Fixed Rate Non-Cumulative Perpetual Preferred Stock Series A prediction model is evaluated with Ensemble Learning (ML) and Stepwise Regression1,2,3,4 and it is concluded that the BOH^A stock is predictable in the short/long term. According to price forecasts for (n+1 year) period, the dominant strategy among neural network is: Buy

## Key Points

1. Can neural networks predict stock market?
2. Which neural network is best for prediction?
3. Stock Forecast Based On a Predictive Algorithm

## BOH^A Target Price Prediction Modeling Methodology

We consider Bank of Hawaii Corporation Depositary Shares Each Representing a 1/40th Interest in a Share of 4.375% Fixed Rate Non-Cumulative Perpetual Preferred Stock Series A Decision Process with Ensemble Learning (ML) where A is the set of discrete actions of BOH^A 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(Stepwise Regression)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(Ensemble Learning (ML)) X S(n):→ (n+1 year) $\begin{array}{l}\int {r}^{s}\mathrm{rs}\end{array}$

n:Time series to forecast

p:Price signals of BOH^A 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?

## BOH^A Stock Forecast (Buy or Sell) for (n+1 year)

Sample Set: Neural Network
Stock/Index: BOH^A Bank of Hawaii Corporation Depositary Shares Each Representing a 1/40th Interest in a Share of 4.375% Fixed Rate Non-Cumulative Perpetual Preferred Stock Series A
Time series to forecast n: 25 Feb 2023 for (n+1 year)

According to price forecasts for (n+1 year) period, the dominant strategy among neural network is: Buy

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 Hawaii Corporation Depositary Shares Each Representing a 1/40th Interest in a Share of 4.375% Fixed Rate Non-Cumulative Perpetual Preferred Stock Series A

1. Hedge effectiveness is the extent to which changes in the fair value or the cash flows of the hedging instrument offset changes in the fair value or the cash flows of the hedged item (for example, when the hedged item is a risk component, the relevant change in fair value or cash flows of an item is the one that is attributable to the hedged risk). Hedge ineffectiveness is the extent to which the changes in the fair value or the cash flows of the hedging instrument are greater or less than those on the hedged item.
2. When measuring the fair values of the part that continues to be recognised and the part that is derecognised for the purposes of applying paragraph 3.2.13, an entity applies the fair value measurement requirements in IFRS 13 Fair Value Measurement in addition to paragraph 3.2.14.
3. The definition of a derivative refers to non-financial variables that are not specific to a party to the contract. These include an index of earthquake losses in a particular region and an index of temperatures in a particular city. Non-financial variables specific to a party to the contract include the occurrence or non-occurrence of a fire that damages or destroys an asset of a party to the contract. A change in the fair value of a non-financial asset is specific to the owner if the fair value reflects not only changes in market prices for such assets (a financial variable) but also the condition of the specific non-financial asset held (a non-financial variable). For example, if a guarantee of the residual value of a specific car exposes the guarantor to the risk of changes in the car's physical condition, the change in that residual value is specific to the owner of the car.
4. Paragraph 6.3.6 states that in consolidated financial statements the foreign currency risk of a highly probable forecast intragroup transaction may qualify as a hedged item in a cash flow hedge, provided that the transaction is denominated in a currency other than the functional currency of the entity entering into that transaction and that the foreign currency risk will affect consolidated profit or loss. For this purpose an entity can be a parent, subsidiary, associate, joint arrangement or branch. If the foreign currency risk of a forecast intragroup transaction does not affect consolidated profit or loss, the intragroup transaction cannot qualify as a hedged item. This is usually the case for royalty payments, interest payments or management charges between members of the same group, unless there is a related external transaction. However, when the foreign currency risk of a forecast intragroup transaction will affect consolidated profit or loss, the intragroup transaction can qualify as a hedged item. An example is forecast sales or purchases of inventories between members of the same group if there is an onward sale of the inventory to a party external to the group. Similarly, a forecast intragroup sale of plant and equipment from the group entity that manufactured it to a group entity that will use the plant and equipment in its operations may affect consolidated profit or loss. This could occur, for example, because the plant and equipment will be depreciated by the purchasing entity and the amount initially recognised for the plant and equipment may change if the forecast intragroup transaction is denominated in a currency other than the functional currency of the purchasing entity.

*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 Hawaii Corporation Depositary Shares Each Representing a 1/40th Interest in a Share of 4.375% Fixed Rate Non-Cumulative Perpetual Preferred Stock Series A is assigned short-term Ba1 & long-term Ba1 estimated rating. Bank of Hawaii Corporation Depositary Shares Each Representing a 1/40th Interest in a Share of 4.375% Fixed Rate Non-Cumulative Perpetual Preferred Stock Series A prediction model is evaluated with Ensemble Learning (ML) and Stepwise Regression1,2,3,4 and it is concluded that the BOH^A stock is predictable in the short/long term. According to price forecasts for (n+1 year) period, the dominant strategy among neural network is: Buy

### BOH^A Bank of Hawaii Corporation Depositary Shares Each Representing a 1/40th Interest in a Share of 4.375% Fixed Rate Non-Cumulative Perpetual Preferred Stock Series A Financial Analysis*

Rating Short-Term Long-Term Senior
Outlook*Ba1Ba1
Income StatementBaa2Baa2
Balance SheetBa1B2
Leverage RatiosB2B3
Cash FlowCaa2C
Rates of Return and ProfitabilityBaa2Baa2

*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: 80 out of 100 with 649 signals.

## References

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3. Vapnik V. 2013. The Nature of Statistical Learning Theory. Berlin: Springer
4. Çetinkaya, A., Zhang, Y.Z., Hao, Y.M. and Ma, X.Y., What are buy sell or hold recommendations?(AIRC Stock Forecast). AC Investment Research Journal, 101(3).
5. V. Mnih, A. P. Badia, M. Mirza, A. Graves, T. P. Lillicrap, T. Harley, D. Silver, and K. Kavukcuoglu. Asynchronous methods for deep reinforcement learning. In Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016, pages 1928–1937, 2016
6. Candès EJ, Recht B. 2009. Exact matrix completion via convex optimization. Found. Comput. Math. 9:717
7. Bottou L. 1998. Online learning and stochastic approximations. In On-Line Learning in Neural Networks, ed. D Saad, pp. 9–42. New York: ACM
Frequently Asked QuestionsQ: What is the prediction methodology for BOH^A stock?
A: BOH^A stock prediction methodology: We evaluate the prediction models Ensemble Learning (ML) and Stepwise Regression
Q: Is BOH^A stock a buy or sell?
A: The dominant strategy among neural network is to Buy BOH^A Stock.
Q: Is Bank of Hawaii Corporation Depositary Shares Each Representing a 1/40th Interest in a Share of 4.375% Fixed Rate Non-Cumulative Perpetual Preferred Stock Series A stock a good investment?
A: The consensus rating for Bank of Hawaii Corporation Depositary Shares Each Representing a 1/40th Interest in a Share of 4.375% Fixed Rate Non-Cumulative Perpetual Preferred Stock Series A is Buy and is assigned short-term Ba1 & long-term Ba1 estimated rating.
Q: What is the consensus rating of BOH^A stock?
A: The consensus rating for BOH^A is Buy.
Q: What is the prediction period for BOH^A stock?
A: The prediction period for BOH^A is (n+1 year)