ET^D Energy Transfer L.P. 7.625% Series D Fixed-to-Floating Rate Cumulative Redeemable Perpetual Preferred Unit (Forecast)

Outlook: Energy Transfer L.P. 7.625% Series D Fixed-to-Floating Rate Cumulative Redeemable Perpetual Preferred Unit is assigned short-term Ba1 & long-term Ba1 estimated rating.
Dominant Strategy : Hold
Time series to forecast n: 02 Feb 2023 for (n+6 month)
Methodology : Modular Neural Network (Speculative Sentiment Analysis)

Abstract

Energy Transfer L.P. 7.625% Series D Fixed-to-Floating Rate Cumulative Redeemable Perpetual Preferred Unit prediction model is evaluated with Modular Neural Network (Speculative Sentiment Analysis) and Independent T-Test^1,2,3,4 and it is concluded that the ET^D stock is predictable in the short/long term. According to price forecasts for (n+6 month) period, the dominant strategy among neural network is: Hold

Key Points

1. What are buy sell or hold recommendations?
2. What is prediction model?
3. What is the best way to predict stock prices?

ET^D Target Price Prediction Modeling Methodology

We consider Energy Transfer L.P. 7.625% Series D Fixed-to-Floating Rate Cumulative Redeemable Perpetual Preferred Unit Decision Process with Modular Neural Network (Speculative Sentiment Analysis) where A is the set of discrete actions of ET^D 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= $\begin{array}{cccc}{p}_{\mathrm{a}1}& p_{\mathrm{a}2}& \dots & p_{1n}\\ & ⋮\\ p_{j1}& p_{j2}& \dots & p_{jn}\\ & ⋮\\ p_{k1}& p_{k2}& \dots & p_{kn}\\ & ⋮\\ p_{n1}& p_{n2}& \dots & p_{nn}\end{array}$ X R(Modular Neural Network (Speculative Sentiment Analysis)) X S(n):→ (n+6 month) $\begin{array}{l}\int r^s\mathrm{rs}\end{array}$

n:Time series to forecast

p:Price signals of ET^D 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?

ET^D Stock Forecast (Buy or Sell) for (n+6 month)

Sample Set: Neural Network
Stock/Index: ET^D Energy Transfer L.P. 7.625% Series D Fixed-to-Floating Rate Cumulative Redeemable Perpetual Preferred Unit
Time series to forecast n: 02 Feb 2023 for (n+6 month)

According to price forecasts for (n+6 month) 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 Energy Transfer L.P. 7.625% Series D Fixed-to-Floating Rate Cumulative Redeemable Perpetual Preferred Unit

1. Adjusting the hedge ratio allows an entity to respond to changes in the relationship between the hedging instrument and the hedged item that arise from their underlyings or risk variables. For example, a hedging relationship in which the hedging instrument and the hedged item have different but related underlyings changes in response to a change in the relationship between those two underlyings (for example, different but related reference indices, rates or prices). Hence, rebalancing allows the continuation of a hedging relationship in situations in which the relationship between the hedging instrument and the hedged item chang
2. For the purpose of determining whether a forecast transaction (or a component thereof) is highly probable as required by paragraph 6.3.3, an entity shall assume that the interest rate benchmark on which the hedged cash flows (contractually or non-contractually specified) are based is not altered as a result of interest rate benchmark reform.
3. In the reporting period that includes the date of initial application of these amendments, an entity is not required to present the quantitative information required by paragraph 28(f) of IAS 8.
4. In some jurisdictions, the government or a regulatory authority sets interest rates. For example, such government regulation of interest rates may be part of a broad macroeconomic policy or it may be introduced to encourage entities to invest in a particular sector of the economy. In some of these cases, the objective of the time value of money element is not to provide consideration for only the passage of time. However, despite paragraphs B4.1.9A–B4.1.9D, a regulated interest rate shall be considered a proxy for the time value of money element for the purpose of applying the condition in paragraphs 4.1.2(b) and 4.1.2A(b) if that regulated interest rate provides consideration that is broadly consistent with the passage of time and does not provide exposure to risks or volatility in the contractual cash flows that are inconsistent with a basic lending arrangement.

*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

Energy Transfer L.P. 7.625% Series D Fixed-to-Floating Rate Cumulative Redeemable Perpetual Preferred Unit is assigned short-term Ba1 & long-term Ba1 estimated rating. Energy Transfer L.P. 7.625% Series D Fixed-to-Floating Rate Cumulative Redeemable Perpetual Preferred Unit prediction model is evaluated with Modular Neural Network (Speculative Sentiment Analysis) and Independent T-Test^1,2,3,4 and it is concluded that the ET^D stock is predictable in the short/long term. According to price forecasts for (n+6 month) period, the dominant strategy among neural network is: Hold

ET^D Energy Transfer L.P. 7.625% Series D Fixed-to-Floating Rate Cumulative Redeemable Perpetual Preferred Unit Financial Analysis*

Rating	Short-Term	Long-Term Senior
Outlook*	Ba1	Ba1
Income Statement	Caa2	Baa2
Balance Sheet	C	C
Leverage Ratios	Baa2	Baa2
Cash Flow	Ba2	Caa2
Rates of Return and Profitability	Caa2	C

*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: 79 out of 100 with 573 signals.

References

1. E. Altman, K. Avrachenkov, and R. N ́u ̃nez-Queija. Perturbation analysis for denumerable Markov chains with application to queueing models. Advances in Applied Probability, pages 839–853, 2004
2. V. Borkar. A sensitivity formula for the risk-sensitive cost and the actor-critic algorithm. Systems & Control Letters, 44:339–346, 2001
3. Chow, G. C. (1960), "Tests of equality between sets of coefficients in two linear regressions," Econometrica, 28, 591–605.
4. Chipman HA, George EI, McCulloch RE. 2010. Bart: Bayesian additive regression trees. Ann. Appl. Stat. 4:266–98
5. Andrews, D. W. K. W. Ploberger (1994), "Optimal tests when a nuisance parameter is present only under the alternative," Econometrica, 62, 1383–1414.
6. Ashley, R. (1988), "On the relative worth of recent macroeconomic forecasts," International Journal of Forecasting, 4, 363–376.
7. V. Konda and J. Tsitsiklis. Actor-Critic algorithms. In Proceedings of Advances in Neural Information Processing Systems 12, pages 1008–1014, 2000

Frequently Asked Questions

Q: What is the prediction methodology for ET^D stock?
A: ET^D stock prediction methodology: We evaluate the prediction models Modular Neural Network (Speculative Sentiment Analysis) and Independent T-Test
Q: Is ET^D stock a buy or sell?
A: The dominant strategy among neural network is to Hold ET^D Stock.
Q: Is Energy Transfer L.P. 7.625% Series D Fixed-to-Floating Rate Cumulative Redeemable Perpetual Preferred Unit stock a good investment?
A: The consensus rating for Energy Transfer L.P. 7.625% Series D Fixed-to-Floating Rate Cumulative Redeemable Perpetual Preferred Unit is Hold and is assigned short-term Ba1 & long-term Ba1 estimated rating.
Q: What is the consensus rating of ET^D stock?
A: The consensus rating for ET^D is Hold.
Q: What is the prediction period for ET^D stock?
A: The prediction period for ET^D is (n+6 month)

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