The research reported in the paper focuses on the stock market prediction problem, the main aim being the development of a methodology to forecast the stock closing price. The methodology is based on some novel variable selection methods and an analysis of neural network and support vector machines based prediction models. Also, a hybrid approach which combines the use of the variables derived from technical and fundamental analysis of stock market indicators in order to improve prediction results of the proposed approaches is reported in this paper. ** We evaluate VINACAPITAL VIETNAM OPPORTUNITY FUND LD prediction models with Modular Neural Network (Market News Sentiment Analysis) and Pearson Correlation ^{1,2,3,4} and conclude that the LON:VOF stock is predictable in the short/long term. **

**According to price forecasts for (n+4 weeks) period: The dominant strategy among neural network is to Hold LON:VOF stock.**

**LON:VOF, VINACAPITAL VIETNAM OPPORTUNITY FUND LD, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.**

*Keywords:*## Key Points

- Market Risk
- Can statistics predict the future?
- Investment Risk

## LON:VOF Target Price Prediction Modeling Methodology

The study of financial markets has been addressed in many works during the last years. Different methods have been used in order to capture the non-linear behavior which is characteristic of these complex systems. The development of profitable strategies has been associated with the predictive character of the market movement, and special attention has been devoted to forecast the trends of financial markets. We consider VINACAPITAL VIETNAM OPPORTUNITY FUND LD Stock Decision Process with Pearson Correlation where A is the set of discrete actions of LON:VOF 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(Pearson Correlation)

^{5,6,7}= $\begin{array}{cccc}{p}_{\mathrm{a}1}& {p}_{\mathrm{a}2}& \dots & {p}_{1n}\\ & \vdots \\ {p}_{j1}& {p}_{j2}& \dots & {p}_{jn}\\ & \vdots \\ {p}_{k1}& {p}_{k2}& \dots & {p}_{kn}\\ & \vdots \\ {p}_{n1}& {p}_{n2}& \dots & {p}_{nn}\end{array}$ X R(Modular Neural Network (Market News Sentiment Analysis)) X S(n):→ (n+4 weeks) $\sum _{i=1}^{n}\left({s}_{i}\right)$

n:Time series to forecast

p:Price signals of LON:VOF 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?

## LON:VOF Stock Forecast (Buy or Sell) for (n+4 weeks)

**Sample Set:**Neural Network

**Stock/Index:**LON:VOF VINACAPITAL VIETNAM OPPORTUNITY FUND LD

**Time series to forecast n: 15 Oct 2022**for (n+4 weeks)

**According to price forecasts for (n+4 weeks) period: The dominant strategy among neural network is to Hold LON:VOF 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%**

## Conclusions

VINACAPITAL VIETNAM OPPORTUNITY FUND LD assigned short-term B1 & long-term Ba3 forecasted stock rating.** We evaluate the prediction models Modular Neural Network (Market News Sentiment Analysis) with Pearson Correlation ^{1,2,3,4} and conclude that the LON:VOF stock is predictable in the short/long term.**

**According to price forecasts for (n+4 weeks) period: The dominant strategy among neural network is to Hold LON:VOF stock.**

### Financial State Forecast for LON:VOF Stock Options & Futures

Rating | Short-Term | Long-Term Senior |
---|---|---|

Outlook* | B1 | Ba3 |

Operational Risk | 82 | 81 |

Market Risk | 37 | 66 |

Technical Analysis | 65 | 42 |

Fundamental Analysis | 72 | 77 |

Risk Unsystematic | 38 | 50 |

### Prediction Confidence Score

## References

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## Frequently Asked Questions

Q: What is the prediction methodology for LON:VOF stock?A: LON:VOF stock prediction methodology: We evaluate the prediction models Modular Neural Network (Market News Sentiment Analysis) and Pearson Correlation

Q: Is LON:VOF stock a buy or sell?

A: The dominant strategy among neural network is to Hold LON:VOF Stock.

Q: Is VINACAPITAL VIETNAM OPPORTUNITY FUND LD stock a good investment?

A: The consensus rating for VINACAPITAL VIETNAM OPPORTUNITY FUND LD is Hold and assigned short-term B1 & long-term Ba3 forecasted stock rating.

Q: What is the consensus rating of LON:VOF stock?

A: The consensus rating for LON:VOF is Hold.

Q: What is the prediction period for LON:VOF stock?

A: The prediction period for LON:VOF is (n+4 weeks)