AUC Score :
Short-Term Revised1 :
Dominant Strategy : Hold
Time series to forecast n:
Methodology : Transfer Learning (ML)
Hypothesis Testing : Factor
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
Scorpio Tankers Inc. 7.00% Senior Notes due 2025 prediction model is evaluated with Transfer Learning (ML) and Factor1,2,3,4 and it is concluded that the SBBA stock is predictable in the short/long term. Transfer learning is a machine learning (ML) method where a model developed for one task is reused as the starting point for a model on a second task. This can be useful when the second task is similar to the first task, or when there is limited data available for the second task. According to price forecasts for 16 Weeks period, the dominant strategy among neural network is: Hold
Key Points
- What is statistical models in machine learning?
- How accurate is machine learning in stock market?
- Can machine learning predict?
SBBA Target Price Prediction Modeling Methodology
We consider Scorpio Tankers Inc. 7.00% Senior Notes due 2025 Decision Process with Transfer Learning (ML) where A is the set of discrete actions of SBBA 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(Factor)5,6,7= X R(Transfer Learning (ML)) X S(n):→ 16 Weeks
n:Time series to forecast
p:Price signals of SBBA stock
j:Nash equilibria (Neural Network)
k:Dominated move
a:Best response for target price
Transfer Learning (ML)
Transfer learning is a machine learning (ML) method where a model developed for one task is reused as the starting point for a model on a second task. This can be useful when the second task is similar to the first task, or when there is limited data available for the second task.Factor
In statistics, a factor is a variable that can influence the value of another variable. Factors can be categorical or continuous. Categorical factors have a limited number of possible values, such as gender (male or female) or blood type (A, B, AB, or O). Continuous factors can have an infinite number of possible values, such as height or weight. Factors can be used to explain the variation in a dependent variable. For example, a study might find that there is a relationship between gender and height. In this case, gender would be the independent variable, height would be the dependent variable, and the factor would be gender.
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?
SBBA Stock Forecast (Buy or Sell)
Sample Set: Neural NetworkStock/Index: SBBA Scorpio Tankers Inc. 7.00% Senior Notes due 2025
Time series to forecast: 16 Weeks
According to price forecasts, the dominant strategy among neural network is: Hold
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 Transfer Learning (ML) based SBBA Stock Prediction Model
- An entity shall apply Prepayment Features with Negative Compensation (Amendments to IFRS 9) retrospectively in accordance with IAS 8, except as specified in paragraphs 7.2.30–7.2.34
- A single hedging instrument may be designated as a hedging instrument of more than one type of risk, provided that there is a specific designation of the hedging instrument and of the different risk positions as hedged items. Those hedged items can be in different hedging relationships.
- IFRS 7 defines credit risk as 'the risk that one party to a financial instrument will cause a financial loss for the other party by failing to discharge an obligation'. The requirement in paragraph 5.7.7(a) relates to the risk that the issuer will fail to perform on that particular liability. It does not necessarily relate to the creditworthiness of the issuer. For example, if an entity issues a collateralised liability and a non-collateralised liability that are otherwise identical, the credit risk of those two liabilities will be different, even though they are issued by the same entity. The credit risk on the collateralised liability will be less than the credit risk of the non-collateralised liability. The credit risk for a collateralised liability may be close to zero.
- An entity must look through until it can identify the underlying pool of instruments that are creating (instead of passing through) the cash flows. This is the underlying pool of financial instruments.
*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.
SBBA Scorpio Tankers Inc. 7.00% Senior Notes due 2025 Financial Analysis*
Rating | Short-Term | Long-Term Senior |
---|---|---|
Outlook* | B1 | Ba1 |
Income Statement | Ba3 | Baa2 |
Balance Sheet | C | B2 |
Leverage Ratios | B3 | Baa2 |
Cash Flow | B1 | Baa2 |
Rates of Return and Profitability | Baa2 | B1 |
*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?
Conclusions
Scorpio Tankers Inc. 7.00% Senior Notes due 2025 is assigned short-term B1 & long-term Ba1 estimated rating. Scorpio Tankers Inc. 7.00% Senior Notes due 2025 prediction model is evaluated with Transfer Learning (ML) and Factor1,2,3,4 and it is concluded that the SBBA stock is predictable in the short/long term. According to price forecasts for 16 Weeks period, the dominant strategy among neural network is: Hold
Prediction Confidence Score
References
- Barkan O. 2016. Bayesian neural word embedding. arXiv:1603.06571 [math.ST]
- Athey S, Mobius MM, Pál J. 2017c. The impact of aggregators on internet news consumption. Unpublished manuscript, Grad. School Bus., Stanford Univ., Stanford, CA
- Keane MP. 2013. Panel data discrete choice models of consumer demand. In The Oxford Handbook of Panel Data, ed. BH Baltagi, pp. 54–102. Oxford, UK: Oxford Univ. Press
- Athey S, Tibshirani J, Wager S. 2016b. Generalized random forests. arXiv:1610.01271 [stat.ME]
- Bell RM, Koren Y. 2007. Lessons from the Netflix prize challenge. ACM SIGKDD Explor. Newsl. 9:75–79
- Hastie T, Tibshirani R, Wainwright M. 2015. Statistical Learning with Sparsity: The Lasso and Generalizations. New York: CRC Press
- Bai J, Ng S. 2002. Determining the number of factors in approximate factor models. Econometrica 70:191–221
Frequently Asked Questions
Q: What is the prediction methodology for SBBA stock?A: SBBA stock prediction methodology: We evaluate the prediction models Transfer Learning (ML) and Factor
Q: Is SBBA stock a buy or sell?
A: The dominant strategy among neural network is to Hold SBBA Stock.
Q: Is Scorpio Tankers Inc. 7.00% Senior Notes due 2025 stock a good investment?
A: The consensus rating for Scorpio Tankers Inc. 7.00% Senior Notes due 2025 is Hold and is assigned short-term B1 & long-term Ba1 estimated rating.
Q: What is the consensus rating of SBBA stock?
A: The consensus rating for SBBA is Hold.
Q: What is the prediction period for SBBA stock?
A: The prediction period for SBBA is 16 Weeks
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