Dominant Strategy : Hold
Time series to forecast n: 06 Jun 2023 for 8 Weeks
Methodology : Modular Neural Network (Market Direction Analysis)
Abstract
GLOBAL VALUE FUND LIMITED prediction model is evaluated with Modular Neural Network (Market Direction Analysis) and Independent T-Test1,2,3,4 and it is concluded that the GVF stock is predictable in the short/long term. According to price forecasts for 8 Weeks period, the dominant strategy among neural network is: HoldKey Points
- How accurate is machine learning in stock market?
- Game Theory
- What are the most successful trading algorithms?
GVF Target Price Prediction Modeling Methodology
We consider GLOBAL VALUE FUND LIMITED Decision Process with Modular Neural Network (Market Direction Analysis) where A is the set of discrete actions of GVF 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= X R(Modular Neural Network (Market Direction Analysis)) X S(n):→ 8 Weeks
n:Time series to forecast
p:Price signals of GVF 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?
GVF Stock Forecast (Buy or Sell) for 8 Weeks
Sample Set: Neural NetworkStock/Index: GVF GLOBAL VALUE FUND LIMITED
Time series to forecast n: 06 Jun 2023 for 8 Weeks
According to price forecasts for 8 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 GLOBAL VALUE FUND LIMITED
- Hedging relationships that qualified for hedge accounting in accordance with IAS 39 that also qualify for hedge accounting in accordance with the criteria of this Standard (see paragraph 6.4.1), after taking into account any rebalancing of the hedging relationship on transition (see paragraph 7.2.25(b)), shall be regarded as continuing hedging relationships.
- A similar example of a non-financial item is a specific type of crude oil from a particular oil field that is priced off the relevant benchmark crude oil. If an entity sells that crude oil under a contract using a contractual pricing formula that sets the price per barrel at the benchmark crude oil price minus CU10 with a floor of CU15, the entity can designate as the hedged item the entire cash flow variability under the sales contract that is attributable to the change in the benchmark crude oil price. However, the entity cannot designate a component that is equal to the full change in the benchmark crude oil price. Hence, as long as the forward price (for each delivery) does not fall below CU25, the hedged item has the same cash flow variability as a crude oil sale at the benchmark crude oil price (or with a positive spread). However, if the forward price for any delivery falls below CU25, the hedged item has a lower cash flow variability than a crude oil sale at the benchmark crude oil price (or with a positive spread).
- The definition of a derivative in this Standard includes contracts that are settled gross by delivery of the underlying item (eg a forward contract to purchase a fixed rate debt instrument). An entity may have a contract to buy or sell a non-financial item that can be settled net in cash or another financial instrument or by exchanging financial instruments (eg a contract to buy or sell a commodity at a fixed price at a future date). Such a contract is within the scope of this Standard unless it was entered into and continues to be held for the purpose of delivery of a non-financial item in accordance with the entity's expected purchase, sale or usage requirements. However, this Standard applies to such contracts for an entity's expected purchase, sale or usage requirements if the entity makes a designation in accordance with paragraph 2.5 (see paragraphs 2.4–2.7).
- Although the objective of an entity's business model may be to hold financial assets in order to collect contractual cash flows, the entity need not hold all of those instruments until maturity. Thus an entity's business model can be to hold financial assets to collect contractual cash flows even when sales of financial assets occur or are expected to occur in the future.
*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
GLOBAL VALUE FUND LIMITED is assigned short-term Ba1 & long-term Ba1 estimated rating. GLOBAL VALUE FUND LIMITED prediction model is evaluated with Modular Neural Network (Market Direction Analysis) and Independent T-Test1,2,3,4 and it is concluded that the GVF stock is predictable in the short/long term. According to price forecasts for 8 Weeks period, the dominant strategy among neural network is: Hold
GVF GLOBAL VALUE FUND LIMITED Financial Analysis*
Rating | Short-Term | Long-Term Senior |
---|---|---|
Outlook* | Ba1 | Ba1 |
Income Statement | C | Caa2 |
Balance Sheet | Baa2 | B2 |
Leverage Ratios | Baa2 | Baa2 |
Cash Flow | Ba2 | Ba3 |
Rates of Return and Profitability | B3 | Ba3 |
*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

References
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- Athey S, Mobius MM, Pál J. 2017c. The impact of aggregators on internet news consumption. Unpublished manuscript, Grad. School Bus., Stanford Univ., Stanford, CA
- Ruiz FJ, Athey S, Blei DM. 2017. SHOPPER: a probabilistic model of consumer choice with substitutes and complements. arXiv:1711.03560 [stat.ML]
- Alpaydin E. 2009. Introduction to Machine Learning. Cambridge, MA: MIT Press
- Matzkin RL. 1994. Restrictions of economic theory in nonparametric methods. In Handbook of Econometrics, Vol. 4, ed. R Engle, D McFadden, pp. 2523–58. Amsterdam: Elsevier
- V. Borkar and R. Jain. Risk-constrained Markov decision processes. IEEE Transaction on Automatic Control, 2014
Frequently Asked Questions
Q: What is the prediction methodology for GVF stock?A: GVF stock prediction methodology: We evaluate the prediction models Modular Neural Network (Market Direction Analysis) and Independent T-Test
Q: Is GVF stock a buy or sell?
A: The dominant strategy among neural network is to Hold GVF Stock.
Q: Is GLOBAL VALUE FUND LIMITED stock a good investment?
A: The consensus rating for GLOBAL VALUE FUND LIMITED is Hold and is assigned short-term Ba1 & long-term Ba1 estimated rating.
Q: What is the consensus rating of GVF stock?
A: The consensus rating for GVF is Hold.
Q: What is the prediction period for GVF stock?
A: The prediction period for GVF is 8 Weeks
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