Outlook: Allstate Corporation (The) Depositary Shares each representing a 1/1000th interest in a share of Fixed Rate Noncumulative Perpetual Preferred Stock Series H assigned short-term B2 & long-term Ba3 forecasted stock rating.
Time series to forecast n: 08 Dec 2022 for (n+6 month)
Methodology : Modular Neural Network (Emotional Trigger/Responses Analysis)

## Abstract

The stock market is an interesting industry to study. There are various variations present in it. Many experts have been studying and researching on the various trends that the stock market goes through. One of the major studies has been the attempt to predict the stock prices of various companies based on historical data. Prediction of stock prices will greatly help people to understand where and how to invest so that the risk of losing money is minimized.(Hegazy, O., Soliman, O.S. and Salam, M.A., 2014. A machine learning model for stock market prediction. arXiv preprint arXiv:1402.7351.) We evaluate Allstate Corporation (The) Depositary Shares each representing a 1/1000th interest in a share of Fixed Rate Noncumulative Perpetual Preferred Stock Series H prediction models with Modular Neural Network (Emotional Trigger/Responses Analysis) and Independent T-Test1,2,3,4 and conclude that the ALL^H stock is predictable in the short/long term. According to price forecasts for (n+6 month) period, the dominant strategy among neural network is: Buy

## Key Points

1. Should I buy stocks now or wait amid such uncertainty?
2. Game Theory
3. What is neural prediction?

## ALL^H Target Price Prediction Modeling Methodology

We consider Allstate Corporation (The) Depositary Shares each representing a 1/1000th interest in a share of Fixed Rate Noncumulative Perpetual Preferred Stock Series H Decision Process with Modular Neural Network (Emotional Trigger/Responses Analysis) where A is the set of discrete actions of ALL^H 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(Independent T-Test)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(Modular Neural Network (Emotional Trigger/Responses Analysis)) X S(n):→ (n+6 month) $R=\left(\begin{array}{ccc}1& 0& 0\\ 0& 1& 0\\ 0& 0& 1\end{array}\right)$

n:Time series to forecast

p:Price signals of ALL^H 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?

## ALL^H Stock Forecast (Buy or Sell) for (n+6 month)

Sample Set: Neural Network
Stock/Index: ALL^H Allstate Corporation (The) Depositary Shares each representing a 1/1000th interest in a share of Fixed Rate Noncumulative Perpetual Preferred Stock Series H
Time series to forecast n: 08 Dec 2022 for (n+6 month)

According to price forecasts for (n+6 month) 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 (Yellow to Green): *Technical Analysis%

## Adjusted IFRS* Prediction Methods for Allstate Corporation (The) Depositary Shares each representing a 1/1000th interest in a share of Fixed Rate Noncumulative Perpetual Preferred Stock Series H

1. An entity shall apply this Standard retrospectively, in accordance with IAS 8 Accounting Policies, Changes in Accounting Estimates and Errors, except as specified in paragraphs 7.2.4–7.2.26 and 7.2.28. This Standard shall not be applied to items that have already been derecognised at the date of initial application.
2. If, at the date of initial application, it is impracticable (as defined in IAS 8) for an entity to assess whether the fair value of a prepayment feature was insignificant in accordance with paragraph B4.1.12(c) on the basis of the facts and circumstances that existed at the initial recognition of the financial asset, an entity shall assess the contractual cash flow characteristics of that financial asset on the basis of the facts and circumstances that existed at the initial recognition of the financial asset without taking into account the exception for prepayment features in paragraph B4.1.12. (See also paragraph 42S of IFRS 7.)
3. An entity shall apply this Standard for annual periods beginning on or after 1 January 2018. Earlier application is permitted. If an entity elects to apply this Standard early, it must disclose that fact and apply all of the requirements in this Standard at the same time (but see also paragraphs 7.1.2, 7.2.21 and 7.3.2). It shall also, at the same time, apply the amendments in Appendix C.
4. When an entity designates a financial liability as at fair value through profit or loss, it must determine whether presenting in other comprehensive income the effects of changes in the liability's credit risk would create or enlarge an accounting mismatch in profit or loss. An accounting mismatch would be created or enlarged if presenting the effects of changes in the liability's credit risk in other comprehensive income would result in a greater mismatch in profit or loss than if those amounts were presented in profit or loss

*International Financial Reporting Standards (IFRS) are a set of accounting rules for the financial statements of public companies that are intended to make them consistent, transparent, and easily comparable around the world.

## Conclusions

Allstate Corporation (The) Depositary Shares each representing a 1/1000th interest in a share of Fixed Rate Noncumulative Perpetual Preferred Stock Series H assigned short-term B2 & long-term Ba3 forecasted stock rating. We evaluate the prediction models Modular Neural Network (Emotional Trigger/Responses Analysis) with Independent T-Test1,2,3,4 and conclude that the ALL^H stock is predictable in the short/long term. According to price forecasts for (n+6 month) period, the dominant strategy among neural network is: Buy

### Financial State Forecast for ALL^H Allstate Corporation (The) Depositary Shares each representing a 1/1000th interest in a share of Fixed Rate Noncumulative Perpetual Preferred Stock Series H Options & Futures

Rating Short-Term Long-Term Senior
Outlook*B2Ba3
Operational Risk 6565
Market Risk3135
Technical Analysis4972
Fundamental Analysis7277
Risk Unsystematic7060

### Prediction Confidence Score

Trust metric by Neural Network: 82 out of 100 with 829 signals.

## References

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3. Çetinkaya, A., Zhang, Y.Z., Hao, Y.M. and Ma, X.Y., Tempur Sealy Stock Forecast & Analysis. AC Investment Research Journal, 101(3).
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7. Brailsford, T.J. R.W. Faff (1996), "An evaluation of volatility forecasting techniques," Journal of Banking Finance, 20, 419–438.
Frequently Asked QuestionsQ: What is the prediction methodology for ALL^H stock?
A: ALL^H stock prediction methodology: We evaluate the prediction models Modular Neural Network (Emotional Trigger/Responses Analysis) and Independent T-Test
Q: Is ALL^H stock a buy or sell?
A: The dominant strategy among neural network is to Buy ALL^H Stock.
Q: Is Allstate Corporation (The) Depositary Shares each representing a 1/1000th interest in a share of Fixed Rate Noncumulative Perpetual Preferred Stock Series H stock a good investment?
A: The consensus rating for Allstate Corporation (The) Depositary Shares each representing a 1/1000th interest in a share of Fixed Rate Noncumulative Perpetual Preferred Stock Series H is Buy and assigned short-term B2 & long-term Ba3 forecasted stock rating.
Q: What is the consensus rating of ALL^H stock?
A: The consensus rating for ALL^H is Buy.
Q: What is the prediction period for ALL^H stock?
A: The prediction period for ALL^H is (n+6 month)