CMRE^E Costamare Inc. 8.875% Series E Cumulative Redeemable Perpetual Preferred Stock par value $0.0001

Outlook: Costamare Inc. 8.875% Series E Cumulative Redeemable Perpetual Preferred Stock par value $0.0001 assigned short-term Ba3 & long-term B2 forecasted stock rating.
Dominant Strategy : Hold
Time series to forecast n: 07 Dec 2022 for (n+8 weeks)
Methodology : Statistical Inference (ML)

Abstract

Prediction of future movement of stock prices has been a subject matter of many research work. There is a gamut of literature of technical analysis of stock prices where the objective is to identify patterns in stock price movements and derive profit from it. Improving the prediction accuracy remains the single most challenge in this area of research. We propose a hybrid approach for stock price movement prediction using machine learning, deep learning, and natural language processing. (Khan, W., Ghazanfar, M.A., Azam, M.A., Karami, A., Alyoubi, K.H. and Alfakeeh, A.S., 2020. Stock market prediction using machine learning classifiers and social media, news. Journal of Ambient Intelligence and Humanized Computing, pp.1-24.) We evaluate Costamare Inc. 8.875% Series E Cumulative Redeemable Perpetual Preferred Stock par value $0.0001 prediction models with Statistical Inference (ML) and Linear Regression^1,2,3,4 and conclude that the CMRE^E stock is predictable in the short/long term. According to price forecasts for (n+8 weeks) period: The dominant strategy among neural network is to Hold CMRE^E stock.

Key Points

1. What are the most successful trading algorithms?
2. Is now good time to invest?
3. Investment Risk

CMRE^E Target Price Prediction Modeling Methodology

We consider Costamare Inc. 8.875% Series E Cumulative Redeemable Perpetual Preferred Stock par value $0.0001 Decision Process with Statistical Inference (ML) where A is the set of discrete actions of CMRE^E 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(Linear Regression)^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(Statistical Inference (ML)) X S(n):→ (n+8 weeks) $\sum _{i=1}^n\left(s_i\right)$

n:Time series to forecast

p:Price signals of CMRE^E 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?

CMRE^E Stock Forecast (Buy or Sell) for (n+8 weeks)

Sample Set: Neural Network
Stock/Index: CMRE^E Costamare Inc. 8.875% Series E Cumulative Redeemable Perpetual Preferred Stock par value $0.0001
Time series to forecast n: 07 Dec 2022 for (n+8 weeks)

According to price forecasts for (n+8 weeks) period: The dominant strategy among neural network is to Hold CMRE^E stock.

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 Costamare Inc. 8.875% Series E Cumulative Redeemable Perpetual Preferred Stock par value $0.0001

1. 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.
2. For hedges other than hedges of foreign currency risk, when an entity designates a non-derivative financial asset or a non-derivative financial liability measured at fair value through profit or loss as a hedging instrument, it may only designate the non-derivative financial instrument in its entirety or a proportion of it.
3. For the purpose of applying the requirement in paragraph 6.5.12 in order to determine whether the hedged future cash flows are expected to occur, 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.
4. Annual Improvements to IFRS Standards 2018–2020, issued in May 2020, added paragraphs 7.2.35 and B3.3.6A and amended paragraph B3.3.6. An entity shall apply that amendment for annual reporting periods beginning on or after 1 January 2022. Earlier application is permitted. If an entity applies the amendment for an earlier period, it shall disclose that fact.

*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

Costamare Inc. 8.875% Series E Cumulative Redeemable Perpetual Preferred Stock par value $0.0001 assigned short-term Ba3 & long-term B2 forecasted stock rating. We evaluate the prediction models Statistical Inference (ML) with Linear Regression^1,2,3,4 and conclude that the CMRE^E stock is predictable in the short/long term. According to price forecasts for (n+8 weeks) period: The dominant strategy among neural network is to Hold CMRE^E stock.

Financial State Forecast for CMRE^E Costamare Inc. 8.875% Series E Cumulative Redeemable Perpetual Preferred Stock par value $0.0001 Options & Futures

Rating	Short-Term	Long-Term Senior
Outlook*	Ba3	B2
Operational Risk	81	35
Market Risk	47	53
Technical Analysis	87	62
Fundamental Analysis	84	46
Risk Unsystematic	35	68

Prediction Confidence Score

Trust metric by Neural Network: 86 out of 100 with 514 signals.

References

1. O. Bardou, N. Frikha, and G. Pag`es. Computing VaR and CVaR using stochastic approximation and adaptive unconstrained importance sampling. Monte Carlo Methods and Applications, 15(3):173–210, 2009.
2. A. Y. Ng, D. Harada, and S. J. Russell. Policy invariance under reward transformations: Theory and application to reward shaping. In Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27 - 30, 1999, pages 278–287, 1999.
3. J. N. Foerster, Y. M. Assael, N. de Freitas, and S. Whiteson. Learning to communicate with deep multi-agent reinforcement learning. In Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain, pages 2137–2145, 2016.
4. Schapire RE, Freund Y. 2012. Boosting: Foundations and Algorithms. Cambridge, MA: MIT Press
5. Çetinkaya, A., Zhang, Y.Z., Hao, Y.M. and Ma, X.Y., Trading Signals (WTS Stock Forecast). AC Investment Research Journal, 101(3).
6. Nie X, Wager S. 2019. Quasi-oracle estimation of heterogeneous treatment effects. arXiv:1712.04912 [stat.ML]
7. L. Prashanth and M. Ghavamzadeh. Actor-critic algorithms for risk-sensitive MDPs. In Proceedings of Advances in Neural Information Processing Systems 26, pages 252–260, 2013.

Frequently Asked Questions

Q: What is the prediction methodology for CMRE^E stock?
A: CMRE^E stock prediction methodology: We evaluate the prediction models Statistical Inference (ML) and Linear Regression
Q: Is CMRE^E stock a buy or sell?
A: The dominant strategy among neural network is to Hold CMRE^E Stock.
Q: Is Costamare Inc. 8.875% Series E Cumulative Redeemable Perpetual Preferred Stock par value $0.0001 stock a good investment?
A: The consensus rating for Costamare Inc. 8.875% Series E Cumulative Redeemable Perpetual Preferred Stock par value $0.0001 is Hold and assigned short-term Ba3 & long-term B2 forecasted stock rating.
Q: What is the consensus rating of CMRE^E stock?
A: The consensus rating for CMRE^E is Hold.
Q: What is the prediction period for CMRE^E stock?
A: The prediction period for CMRE^E is (n+8 weeks)

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