In recent years there has been a significant growth of interest in the incorporation of historical series of variables related to stock prediction into mathematical models or computational algorithms in order to generate predictions or indications about expected price movements. We evaluate Taiwan Weighted Index prediction models with Modular Neural Network (Market Direction Analysis) and Factor1,2,3,4 and conclude that the Taiwan Weighted Index stock is predictable in the short/long term. According to price forecasts for (n+1 year) period: The dominant strategy among neural network is to Sell Taiwan Weighted Index stock.
Keywords: Taiwan Weighted Index, Taiwan Weighted Index, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.
Key Points
- Prediction Modeling
- Which neural network is best for prediction?
- Decision Making
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Taiwan Weighted Index Target Price Prediction Modeling Methodology
The main objective of this research is to predict the market performance on day closing using different machine learning techniques. The prediction model uses different attributes as an input and predicts market as Positive & Negative. We consider Taiwan Weighted Index Stock Decision Process with Factor where A is the set of discrete actions of Taiwan Weighted Index 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(Modular Neural Network (Market Direction Analysis)) X S(n):→ (n+1 year)
n:Time series to forecast
p:Price signals of Taiwan Weighted Index stock
j:Nash equilibria
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?
Taiwan Weighted Index Stock Forecast (Buy or Sell) for (n+1 year)
Sample Set: Neural Network
Stock/Index: Taiwan Weighted Index Taiwan Weighted Index
Time series to forecast n: 09 Nov 2022 for (n+1 year)
According to price forecasts for (n+1 year) period: The dominant strategy among neural network is to Sell Taiwan Weighted Index 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 Taiwan Weighted Index
- When a group of items that constitute a net position is designated as a hedged item, an entity shall designate the overall group of items that includes the items that can make up the net position. An entity is not permitted to designate a non-specific abstract amount of a net position. For example, an entity has a group of firm sale commitments in nine months' time for FC100 and a group of firm purchase commitments in 18 months' time for FC120. The entity cannot designate an abstract amount of a net position up to FC20. Instead, it must designate a gross amount of purchases and a gross amount of sales that together give rise to the hedged net position. An entity shall designate gross positions that give rise to the net position so that the entity is able to comply with the requirements for the accounting for qualifying hedging relationships.
- 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.
- If a variable-rate financial liability bears interest of (for example) three-month LIBOR minus 20 basis points (with a floor at zero basis points), an entity can designate as the hedged item the change in the cash flows of that entire liability (ie three-month LIBOR minus 20 basis points—including the floor) that is attributable to changes in LIBOR. Hence, as long as the three-month LIBOR forward curve for the remaining life of that liability does not fall below 20 basis points, the hedged item has the same cash flow variability as a liability that bears interest at three-month LIBOR with a zero or positive spread. However, if the three-month LIBOR forward curve for the remaining life of that liability (or a part of it) falls below 20 basis points, the hedged item has a lower cash flow variability than a liability that bears interest at threemonth LIBOR with a zero or positive spread.
- Amounts presented in other comprehensive income shall not be subsequently transferred to profit or loss. However, the entity may transfer the cumulative gain or loss within equity.
*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
Taiwan Weighted Index assigned short-term B1 & long-term Ba3 forecasted stock rating. We evaluate the prediction models Modular Neural Network (Market Direction Analysis) with Factor1,2,3,4 and conclude that the Taiwan Weighted Index stock is predictable in the short/long term. According to price forecasts for (n+1 year) period: The dominant strategy among neural network is to Sell Taiwan Weighted Index stock.
Financial State Forecast for Taiwan Weighted Index Taiwan Weighted Index Stock Options & Futures
Rating | Short-Term | Long-Term Senior |
---|---|---|
Outlook* | B1 | Ba3 |
Operational Risk | 79 | 58 |
Market Risk | 57 | 79 |
Technical Analysis | 38 | 35 |
Fundamental Analysis | 78 | 64 |
Risk Unsystematic | 57 | 83 |
Prediction Confidence Score
References
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- Barrett, C. B. (1997), "Heteroscedastic price forecasting for food security management in developing countries," Oxford Development Studies, 25, 225–236.
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- Hartigan JA, Wong MA. 1979. Algorithm as 136: a k-means clustering algorithm. J. R. Stat. Soc. Ser. C 28:100–8
- Firth JR. 1957. A synopsis of linguistic theory 1930–1955. In Studies in Linguistic Analysis (Special Volume of the Philological Society), ed. JR Firth, pp. 1–32. Oxford, UK: Blackwell
- 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 Taiwan Weighted Index stock?A: Taiwan Weighted Index stock prediction methodology: We evaluate the prediction models Modular Neural Network (Market Direction Analysis) and Factor
Q: Is Taiwan Weighted Index stock a buy or sell?
A: The dominant strategy among neural network is to Sell Taiwan Weighted Index Stock.
Q: Is Taiwan Weighted Index stock a good investment?
A: The consensus rating for Taiwan Weighted Index is Sell and assigned short-term B1 & long-term Ba3 forecasted stock rating.
Q: What is the consensus rating of Taiwan Weighted Index stock?
A: The consensus rating for Taiwan Weighted Index is Sell.
Q: What is the prediction period for Taiwan Weighted Index stock?
A: The prediction period for Taiwan Weighted Index is (n+1 year)