Modelling A.I. in Economics

BDXB Becton Dickinson and Company Depositary Shares each Representing a 1/20th Interest in a Share of 6.00% Mandatory Convertible Preferred Stock Series B

Outlook: Becton Dickinson and Company Depositary Shares each Representing a 1/20th Interest in a Share of 6.00% Mandatory Convertible Preferred Stock Series B assigned short-term Ba1 & long-term Ba1 estimated rating.
Dominant Strategy : Wait until speculative trend diminishes
Time series to forecast n: 02 Jan 2023 for (n+1 year)
Methodology : Multi-Instance Learning (ML)

Abstract

Stock market forecasting is considered to be a challenging topic among time series forecasting. This study proposes a novel two-stage ensemble machine learning model named SVR-ENANFIS for stock price prediction by combining features of support vector regression (SVR) and ensemble adaptive neuro fuzzy inference system (ENANFIS).(Jiang, M., Jia, L., Chen, Z. and Chen, W., 2020. The two-stage machine learning ensemble models for stock price prediction by combining mode decomposition, extreme learning machine and improved harmony search algorithm. Annals of Operations Research, pp.1-33.) We evaluate Becton Dickinson and Company Depositary Shares each Representing a 1/20th Interest in a Share of 6.00% Mandatory Convertible Preferred Stock Series B prediction models with Multi-Instance Learning (ML) and Chi-Square1,2,3,4 and conclude that the BDXB stock is predictable in the short/long term. According to price forecasts for (n+1 year) period, the dominant strategy among neural network is: Wait until speculative trend diminishes

Key Points

  1. What is Markov decision process in reinforcement learning?
  2. Can neural networks predict stock market?
  3. Fundemental Analysis with Algorithmic Trading

BDXB Target Price Prediction Modeling Methodology

We consider Becton Dickinson and Company Depositary Shares each Representing a 1/20th Interest in a Share of 6.00% Mandatory Convertible Preferred Stock Series B Decision Process with Multi-Instance Learning (ML) where A is the set of discrete actions of BDXB 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(Chi-Square)5,6,7= 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(Multi-Instance Learning (ML)) X S(n):→ (n+1 year) e x rx

n:Time series to forecast

p:Price signals of BDXB 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?

BDXB Stock Forecast (Buy or Sell) for (n+1 year)

Sample Set: Neural Network
Stock/Index: BDXB Becton Dickinson and Company Depositary Shares each Representing a 1/20th Interest in a Share of 6.00% Mandatory Convertible Preferred Stock Series B
Time series to forecast n: 02 Jan 2023 for (n+1 year)

According to price forecasts for (n+1 year) period, the dominant strategy among neural network is: Wait until speculative trend diminishes

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 Becton Dickinson and Company Depositary Shares each Representing a 1/20th Interest in a Share of 6.00% Mandatory Convertible Preferred Stock Series B

  1. If a variable-rate financial liability bears interest of (for example) three-month LIBOR minus 20 basis points (with a floor at zero basis points), an entity can designate as the hedged item the change in the cash flows of that entire liability (ie three-month LIBOR minus 20 basis points—including the floor) that is attributable to changes in LIBOR. Hence, as long as the three-month LIBOR forward curve for the remaining life of that liability does not fall below 20 basis points, the hedged item has the same cash flow variability as a liability that bears interest at three-month LIBOR with a zero or positive spread. However, if the three-month LIBOR forward curve for the remaining life of that liability (or a part of it) falls below 20 basis points, the hedged item has a lower cash flow variability than a liability that bears interest at threemonth LIBOR with a zero or positive spread.
  2. 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.
  3. Financial assets that are held within a business model whose objective is to hold assets in order to collect contractual cash flows are managed to realise cash flows by collecting contractual payments over the life of the instrument. That is, the entity manages the assets held within the portfolio to collect those particular contractual cash flows (instead of managing the overall return on the portfolio by both holding and selling assets). In determining whether cash flows are going to be realised by collecting the financial assets' contractual cash flows, it is necessary to consider the frequency, value and timing of sales in prior periods, the reasons for those sales and expectations about future sales activity. However sales in themselves do not determine the business model and therefore cannot be considered in isolation. Instead, information about past sales and expectations about future sales provide evidence related to how the entity's stated objective for managing the financial assets is achieved and, specifically, how cash flows are realised. An entity must consider information about past sales within the context of the reasons for those sales and the conditions that existed at that time as compared to current conditions.
  4. If an entity has applied paragraph 7.2.6 then at the date of initial application the entity shall recognise any difference between the fair value of the entire hybrid contract at the date of initial application and the sum of the fair values of the components of the hybrid contract at the date of initial application in the opening retained earnings (or other component of equity, as appropriate) of the reporting period that includes the date of initial application.

*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

Becton Dickinson and Company Depositary Shares each Representing a 1/20th Interest in a Share of 6.00% Mandatory Convertible Preferred Stock Series B assigned short-term Ba1 & long-term Ba1 estimated rating. We evaluate the prediction models Multi-Instance Learning (ML) with Chi-Square1,2,3,4 and conclude that the BDXB stock is predictable in the short/long term. According to price forecasts for (n+1 year) period, the dominant strategy among neural network is: Wait until speculative trend diminishes

BDXB Becton Dickinson and Company Depositary Shares each Representing a 1/20th Interest in a Share of 6.00% Mandatory Convertible Preferred Stock Series B Financial Analysis*

Rating Short-Term Long-Term Senior
Outlook*Ba1Ba1
Income StatementCaa2Ba3
Balance SheetBaa2Ba3
Leverage RatiosBaa2Baa2
Cash FlowBaa2Baa2
Rates of Return and ProfitabilityBaa2B1

*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: 86 out of 100 with 598 signals.

References

  1. D. Bertsekas. Dynamic programming and optimal control. Athena Scientific, 1995.
  2. Bai J, Ng S. 2017. Principal components and regularized estimation of factor models. arXiv:1708.08137 [stat.ME]
  3. J. Hu and M. P. Wellman. Nash q-learning for general-sum stochastic games. Journal of Machine Learning Research, 4:1039–1069, 2003.
  4. J. Peters, S. Vijayakumar, and S. Schaal. Natural actor-critic. In Proceedings of the Sixteenth European Conference on Machine Learning, pages 280–291, 2005.
  5. Dietterich TG. 2000. Ensemble methods in machine learning. In Multiple Classifier Systems: First International Workshop, Cagliari, Italy, June 21–23, pp. 1–15. Berlin: Springer
  6. Künzel S, Sekhon J, Bickel P, Yu B. 2017. Meta-learners for estimating heterogeneous treatment effects using machine learning. arXiv:1706.03461 [math.ST]
  7. Greene WH. 2000. Econometric Analysis. Upper Saddle River, N J: Prentice Hall. 4th ed.
Frequently Asked QuestionsQ: What is the prediction methodology for BDXB stock?
A: BDXB stock prediction methodology: We evaluate the prediction models Multi-Instance Learning (ML) and Chi-Square
Q: Is BDXB stock a buy or sell?
A: The dominant strategy among neural network is to Wait until speculative trend diminishes BDXB Stock.
Q: Is Becton Dickinson and Company Depositary Shares each Representing a 1/20th Interest in a Share of 6.00% Mandatory Convertible Preferred Stock Series B stock a good investment?
A: The consensus rating for Becton Dickinson and Company Depositary Shares each Representing a 1/20th Interest in a Share of 6.00% Mandatory Convertible Preferred Stock Series B is Wait until speculative trend diminishes and assigned short-term Ba1 & long-term Ba1 estimated rating.
Q: What is the consensus rating of BDXB stock?
A: The consensus rating for BDXB is Wait until speculative trend diminishes.
Q: What is the prediction period for BDXB stock?
A: The prediction period for BDXB is (n+1 year)

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