TDS^V Telephone and Data Systems Inc. Depositary Shares Each Representing a 1/1000th Interest in a 6.000% Series VV Cumulative Redeemable Perpetual Preferred Stock

Outlook: Telephone and Data Systems Inc. Depositary Shares Each Representing a 1/1000th Interest in a 6.000% Series VV Cumulative Redeemable Perpetual Preferred Stock is assigned short-term Ba1 & long-term Ba1 estimated rating.
Dominant Strategy : Hold
Time series to forecast n: 24 Apr 2023 for (n+4 weeks)
Methodology : Inductive Learning (ML)

Abstract

Telephone and Data Systems Inc. Depositary Shares Each Representing a 1/1000th Interest in a 6.000% Series VV Cumulative Redeemable Perpetual Preferred Stock prediction model is evaluated with Inductive Learning (ML) and Sign Test^1,2,3,4 and it is concluded that the TDS^V stock is predictable in the short/long term. According to price forecasts for (n+4 weeks) period, the dominant strategy among neural network is: Hold

Key Points

1. Market Risk
2. Prediction Modeling
3. What is the best way to predict stock prices?

TDS^V Target Price Prediction Modeling Methodology

We consider Telephone and Data Systems Inc. Depositary Shares Each Representing a 1/1000th Interest in a 6.000% Series VV Cumulative Redeemable Perpetual Preferred Stock Decision Process with Inductive Learning (ML) where A is the set of discrete actions of TDS^V 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(Sign 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(Inductive Learning (ML)) X S(n):→ (n+4 weeks) $\begin{array}{l}\int e^x\mathrm{rx}\end{array}$

n:Time series to forecast

p:Price signals of TDS^V 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?

TDS^V Stock Forecast (Buy or Sell) for (n+4 weeks)

Sample Set: Neural Network
Stock/Index: TDS^V Telephone and Data Systems Inc. Depositary Shares Each Representing a 1/1000th Interest in a 6.000% Series VV Cumulative Redeemable Perpetual Preferred Stock
Time series to forecast n: 24 Apr 2023 for (n+4 weeks)

According to price forecasts for (n+4 weeks) 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 Telephone and Data Systems Inc. Depositary Shares Each Representing a 1/1000th Interest in a 6.000% Series VV Cumulative Redeemable Perpetual Preferred Stock

1. Compared to a business model whose objective is to hold financial assets to collect contractual cash flows, this business model will typically involve greater frequency and value of sales. This is because selling financial assets is integral to achieving the business model's objective instead of being only incidental to it. However, there is no threshold for the frequency or value of sales that must occur in this business model because both collecting contractual cash flows and selling financial assets are integral to achieving its objective.
2. Interest Rate Benchmark Reform, which amended IFRS 9, IAS 39 and IFRS 7, issued in September 2019, added Section 6.8 and amended paragraph 7.2.26. An entity shall apply these amendments for annual periods beginning on or after 1 January 2020. Earlier application is permitted. If an entity applies these amendments for an earlier period, it shall disclose that fact.
3. An alternative benchmark rate designated as a non-contractually specified risk component that is not separately identifiable (see paragraphs 6.3.7(a) and B6.3.8) at the date it is designated shall be deemed to have met that requirement at that date, if, and only if, the entity reasonably expects the alternative benchmark rate will be separately identifiable within 24 months. The 24-month period applies to each alternative benchmark rate separately and starts from the date the entity designates the alternative benchmark rate as a non-contractually specified risk component for the first time (ie the 24- month period applies on a rate-by-rate basis).
4. Paragraph 4.1.1(a) requires an entity to classify financial assets on the basis of the entity's business model for managing the financial assets, unless paragraph 4.1.5 applies. An entity assesses whether its financial assets meet the condition in paragraph 4.1.2(a) or the condition in paragraph 4.1.2A(a) on the basis of the business model as determined by the entity's key management personnel (as defined in IAS 24 Related Party Disclosures).

*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

Telephone and Data Systems Inc. Depositary Shares Each Representing a 1/1000th Interest in a 6.000% Series VV Cumulative Redeemable Perpetual Preferred Stock is assigned short-term Ba1 & long-term Ba1 estimated rating. Telephone and Data Systems Inc. Depositary Shares Each Representing a 1/1000th Interest in a 6.000% Series VV Cumulative Redeemable Perpetual Preferred Stock prediction model is evaluated with Inductive Learning (ML) and Sign Test^1,2,3,4 and it is concluded that the TDS^V stock is predictable in the short/long term. According to price forecasts for (n+4 weeks) period, the dominant strategy among neural network is: Hold

TDS^V Telephone and Data Systems Inc. Depositary Shares Each Representing a 1/1000th Interest in a 6.000% Series VV Cumulative Redeemable Perpetual Preferred Stock Financial Analysis*

Rating	Short-Term	Long-Term Senior
Outlook*	Ba1	Ba1
Income Statement	Baa2	Baa2
Balance Sheet	B2	B2
Leverage Ratios	Caa2	B3
Cash Flow	C	Baa2
Rates of Return and Profitability	C	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: 90 out of 100 with 636 signals.

References

1. Bessler, D. A. S. W. Fuller (1993), "Cointegration between U.S. wheat markets," Journal of Regional Science, 33, 481–501.
2. J. Filar, L. Kallenberg, and H. Lee. Variance-penalized Markov decision processes. Mathematics of Opera- tions Research, 14(1):147–161, 1989
3. Chernozhukov V, Chetverikov D, Demirer M, Duflo E, Hansen C, et al. 2018a. Double/debiased machine learning for treatment and structural parameters. Econom. J. 21:C1–68
4. Y. Le Tallec. Robust, risk-sensitive, and data-driven control of Markov decision processes. PhD thesis, Massachusetts Institute of Technology, 2007.
5. Z. Wang, T. Schaul, M. Hessel, H. van Hasselt, M. Lanctot, and N. de Freitas. Dueling network architectures for deep reinforcement learning. In Proceedings of the International Conference on Machine Learning (ICML), pages 1995–2003, 2016.
6. ZXhang, Y.X., Haxo, Y.M. and Mat, Y.X., 2023. How is the price of gold determined? (No. Stock Analysis). AC Investment Research.
7. J. Ott. A Markov decision model for a surveillance application and risk-sensitive Markov decision processes. PhD thesis, Karlsruhe Institute of Technology, 2010.

Frequently Asked Questions

Q: What is the prediction methodology for TDS^V stock?
A: TDS^V stock prediction methodology: We evaluate the prediction models Inductive Learning (ML) and Sign Test
Q: Is TDS^V stock a buy or sell?
A: The dominant strategy among neural network is to Hold TDS^V Stock.
Q: Is Telephone and Data Systems Inc. Depositary Shares Each Representing a 1/1000th Interest in a 6.000% Series VV Cumulative Redeemable Perpetual Preferred Stock stock a good investment?
A: The consensus rating for Telephone and Data Systems Inc. Depositary Shares Each Representing a 1/1000th Interest in a 6.000% Series VV Cumulative Redeemable Perpetual Preferred Stock is Hold and is assigned short-term Ba1 & long-term Ba1 estimated rating.
Q: What is the consensus rating of TDS^V stock?
A: The consensus rating for TDS^V is Hold.
Q: What is the prediction period for TDS^V stock?
A: The prediction period for TDS^V is (n+4 weeks)

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