## Abstract

**We evaluate Hang Seng Index prediction models with Deductive Inference (ML) and Beta ^{1,2,3,4} and conclude that the Hang Seng 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 Hold Hang Seng Index stock.**

**Hang Seng Index, Hang Seng Index, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.**

*Keywords:*## Key Points

- What are buy sell or hold recommendations?
- Is Target price a good indicator?
- Can neural networks predict stock market?

## Hang Seng Index Target Price Prediction Modeling Methodology

We consider Hang Seng Index Stock Decision Process with Beta where A is the set of discrete actions of Hang Seng 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 Î³ ∈ [0, 1] is a move factor for expectation.^{1,2,3,4}

F(Beta)

^{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(Deductive Inference (ML)) X S(n):→ (n+1 year) $R=\left(\begin{array}{ccc}1& 0& 0\\ 0& 1& 0\\ 0& 0& 1\end{array}\right)$

n:Time series to forecast

p:Price signals of Hang Seng 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?

## Hang Seng Index Stock Forecast (Buy or Sell) for (n+1 year)

**Sample Set:**Neural Network

**Stock/Index:**Hang Seng Index Hang Seng Index

**Time series to forecast n: 05 Sep 2022**for (n+1 year)

**According to price forecasts for (n+1 year) period: The dominant strategy among neural network is to Hold Hang Seng 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%**

## Conclusions

Hang Seng Index assigned short-term Baa2 & long-term Ba1 forecasted stock rating.** We evaluate the prediction models Deductive Inference (ML) with Beta ^{1,2,3,4} and conclude that the Hang Seng 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 Hold Hang Seng Index stock.**

### Financial State Forecast for Hang Seng Index Stock Options & Futures

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

Outlook* | Baa2 | Ba1 |

Operational Risk | 80 | 59 |

Market Risk | 89 | 71 |

Technical Analysis | 88 | 88 |

Fundamental Analysis | 69 | 75 |

Risk Unsystematic | 65 | 66 |

### Prediction Confidence Score

## References

- A. Tamar, Y. Glassner, and S. Mannor. Policy gradients beyond expectations: Conditional value-at-risk. In AAAI, 2015
- 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.
- Jiang N, Li L. 2016. Doubly robust off-policy value evaluation for reinforcement learning. In Proceedings of the 33rd International Conference on Machine Learning, pp. 652–61. La Jolla, CA: Int. Mach. Learn. Soc.
- Barkan O. 2016. Bayesian neural word embedding. arXiv:1603.06571 [math.ST]
- Belloni A, Chernozhukov V, Hansen C. 2014. High-dimensional methods and inference on structural and treatment effects. J. Econ. Perspect. 28:29–50
- R. Sutton, D. McAllester, S. Singh, and Y. Mansour. Policy gradient methods for reinforcement learning with function approximation. In Proceedings of Advances in Neural Information Processing Systems 12, pages 1057–1063, 2000
- Bastani H, Bayati M. 2015. Online decision-making with high-dimensional covariates. Work. Pap., Univ. Penn./ Stanford Grad. School Bus., Philadelphia/Stanford, CA

## Frequently Asked Questions

Q: What is the prediction methodology for Hang Seng Index stock?A: Hang Seng Index stock prediction methodology: We evaluate the prediction models Deductive Inference (ML) and Beta

Q: Is Hang Seng Index stock a buy or sell?

A: The dominant strategy among neural network is to Hold Hang Seng Index Stock.

Q: Is Hang Seng Index stock a good investment?

A: The consensus rating for Hang Seng Index is Hold and assigned short-term Baa2 & long-term Ba1 forecasted stock rating.

Q: What is the consensus rating of Hang Seng Index stock?

A: The consensus rating for Hang Seng Index is Hold.

Q: What is the prediction period for Hang Seng Index stock?

A: The prediction period for Hang Seng Index is (n+1 year)