Modelling A.I. in Economics

BHFAN Stock: A Sinking Ship? (Forecast)

Outlook: Brighthouse Financial Inc. Depositary shares each representing a 1/1000th interest in a share of 5.375% Non-Cumulative Preferred Stock Series C is assigned short-term Ba3 & long-term B2 estimated rating.
AUC Score : What is AUC Score?
Short-Term Revised1 :
Dominant Strategy : Hold
Time series to forecast n: for Weeks2
Methodology : Modular Neural Network (Market Volatility Analysis)
Hypothesis Testing : Ridge Regression
Surveillance : Major exchange and OTC

1The accuracy of the model is being monitored on a regular basis.(15-minute period)

2Time series is updated based on short-term trends.


Summary

Brighthouse Financial Inc. Depositary shares each representing a 1/1000th interest in a share of 5.375% Non-Cumulative Preferred Stock Series C prediction model is evaluated with Modular Neural Network (Market Volatility Analysis) and Ridge Regression1,2,3,4 and it is concluded that the BHFAN stock is predictable in the short/long term. Modular neural networks (MNNs) are a type of artificial neural network that can be used for market volatility analysis. MNNs are made up of multiple smaller neural networks, called modules. Each module is responsible for learning a specific task, such as identifying patterns in data or predicting future price movements. The modules are then combined to form a single neural network that can perform multiple tasks.In the context of market volatility analysis, MNNs can be used to identify patterns in market data that suggest that the market is becoming more or less volatile. This information can then be used to make predictions about future price movements.5 According to price forecasts for 1 Year period, the dominant strategy among neural network is: Hold

Graph 36

Key Points

  1. Modular Neural Network (Market Volatility Analysis) for BHFAN stock price prediction process.
  2. Ridge Regression
  3. Dominated Move
  4. Is it better to buy and sell or hold?
  5. What are the most successful trading algorithms?

BHFAN Stock Price Forecast

We consider Brighthouse Financial Inc. Depositary shares each representing a 1/1000th interest in a share of 5.375% Non-Cumulative Preferred Stock Series C Decision Process with Modular Neural Network (Market Volatility Analysis) where A is the set of discrete actions of BHFAN 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


Sample Set: Neural Network
Stock/Index: BHFAN Brighthouse Financial Inc. Depositary shares each representing a 1/1000th interest in a share of 5.375% Non-Cumulative Preferred Stock Series C
Time series to forecast: 1 Year

According to price forecasts, the dominant strategy among neural network is: Hold


F(Ridge Regression)6,7= p a 1 p a 2 p 1 n p j 1 p j 2 p j n p k 1 p k 2 p k n p n 1 p n 2 p n n X R(Modular Neural Network (Market Volatility Analysis)) X S(n):→ 1 Year i = 1 n a i

n:Time series to forecast

p:Price signals of BHFAN stock

j:Nash equilibria (Neural Network)

k:Dominated move of BHFAN stock holders

a:Best response for BHFAN target price


Modular neural networks (MNNs) are a type of artificial neural network that can be used for market volatility analysis. MNNs are made up of multiple smaller neural networks, called modules. Each module is responsible for learning a specific task, such as identifying patterns in data or predicting future price movements. The modules are then combined to form a single neural network that can perform multiple tasks.In the context of market volatility analysis, MNNs can be used to identify patterns in market data that suggest that the market is becoming more or less volatile. This information can then be used to make predictions about future price movements.5 Ridge regression is a type of regression analysis that adds a penalty to the least squares objective function in order to reduce the variance of the estimates. This is done by adding a term to the objective function that is proportional to the sum of the squares of the coefficients. The penalty term is called the "ridge" penalty, and it is controlled by a parameter called the "ridge constant". Ridge regression can be used to address the problem of multicollinearity in linear regression. Multicollinearity occurs when two or more independent variables are highly correlated. This can cause the standard errors of the coefficients to be large, and it can also cause the coefficients to be unstable. Ridge regression can help to reduce the standard errors of the coefficients and to make the coefficients more stable.6,7

 

For further technical information as per how our model work we invite you to visit the article below: 

How do PredictiveAI algorithms actually work?

BHFAN Stock Forecast (Buy or Sell) Strategic Interaction Table

Strategic Interaction Table Legend:

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%

Financial Data Adjustments for Modular Neural Network (Market Volatility Analysis) based BHFAN Stock Prediction Model

  1. If a financial instrument that was previously recognised as a financial asset is measured at fair value through profit or loss and its fair value decreases below zero, it is a financial liability measured in accordance with paragraph 4.2.1. However, hybrid contracts with hosts that are assets within the scope of this Standard are always measured in accordance with paragraph 4.3.2.
  2. Time value of money is the element of interest that provides consideration for only the passage of time. That is, the time value of money element does not provide consideration for other risks or costs associated with holding the financial asset. In order to assess whether the element provides consideration for only the passage of time, an entity applies judgement and considers relevant factors such as the currency in which the financial asset is denominated and the period for which the interest rate is set.
  3. A contractual cash flow characteristic does not affect the classification of the financial asset if it could have only a de minimis effect on the contractual cash flows of the financial asset. To make this determination, an entity must consider the possible effect of the contractual cash flow characteristic in each reporting period and cumulatively over the life of the financial instrument. In addition, if a contractual cash flow characteristic could have an effect on the contractual cash flows that is more than de minimis (either in a single reporting period or cumulatively) but that cash flow characteristic is not genuine, it does not affect the classification of a financial asset. A cash flow characteristic is not genuine if it affects the instrument's contractual cash flows only on the occurrence of an event that is extremely rare, highly abnormal and very unlikely to occur.
  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) 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.

BHFAN Brighthouse Financial Inc. Depositary shares each representing a 1/1000th interest in a share of 5.375% Non-Cumulative Preferred Stock Series C Financial Analysis*

Rating Short-Term Long-Term Senior
Outlook*Ba3B2
Income StatementB2Baa2
Balance SheetBaa2Caa2
Leverage RatiosBa3C
Cash FlowB2Caa2
Rates of Return and ProfitabilityBaa2Caa2

*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?

References

  1. 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
  2. B. Derfer, N. Goodyear, K. Hung, C. Matthews, G. Paoni, K. Rollins, R. Rose, M. Seaman, and J. Wiles. Online marketing platform, August 17 2007. US Patent App. 11/893,765
  3. Bai J. 2003. Inferential theory for factor models of large dimensions. Econometrica 71:135–71
  4. LeCun Y, Bengio Y, Hinton G. 2015. Deep learning. Nature 521:436–44
  5. Jorgenson, D.W., Weitzman, M.L., ZXhang, Y.X., Haxo, Y.M. and Mat, Y.X., 2023. Apple's Stock Price: How News Affects Volatility. AC Investment Research Journal, 220(44).
  6. Kitagawa T, Tetenov A. 2015. Who should be treated? Empirical welfare maximization methods for treatment choice. Tech. Rep., Cent. Microdata Methods Pract., Inst. Fiscal Stud., London
  7. D. S. Bernstein, S. Zilberstein, and N. Immerman. The complexity of decentralized control of Markov Decision Processes. In UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30 - July 3, 2000, pages 32–37, 2000.
Frequently Asked QuestionsQ: Is BHFAN stock expected to rise?
A: BHFAN stock prediction model is evaluated with Modular Neural Network (Market Volatility Analysis) and Ridge Regression and it is concluded that dominant strategy for BHFAN stock is Hold
Q: Is BHFAN stock a buy or sell?
A: The dominant strategy among neural network is to Hold BHFAN Stock.
Q: Is Brighthouse Financial Inc. Depositary shares each representing a 1/1000th interest in a share of 5.375% Non-Cumulative Preferred Stock Series C stock a good investment?
A: The consensus rating for Brighthouse Financial Inc. Depositary shares each representing a 1/1000th interest in a share of 5.375% Non-Cumulative Preferred Stock Series C is Hold and is assigned short-term Ba3 & long-term B2 estimated rating.
Q: What is the consensus rating of BHFAN stock?
A: The consensus rating for BHFAN is Hold.
Q: What is the forecast for BHFAN stock?
A: BHFAN target price forecast: Hold

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