**Outlook:**Vipshop Holdings Limited American Depositary Shares each representing two ordinary shares assigned short-term Ba2 & long-term Ba2 forecasted stock rating.

**Dominant Strategy :**Buy

**Time series to forecast n: 07 Dec 2022**for (n+4 weeks)

**Methodology :**Statistical Inference (ML)

## Abstract

Impact of many factors on the stock prices makes the stock prediction a difficult and highly complicated task. In this paper, machine learning techniques have been applied for the stock price prediction in order to overcome such difficulties. In the implemented work, five models have been developed and their performances are compared in predicting the stock market trends.(Li, X., Xie, H., Wang, R., Cai, Y., Cao, J., Wang, F., Min, H. and Deng, X., 2016. Empirical analysis: stock market prediction via extreme learning machine. Neural Computing and Applications, 27(1), pp.67-78.)** We evaluate Vipshop Holdings Limited American Depositary Shares each representing two ordinary shares prediction models with Statistical Inference (ML) and Chi-Square ^{1,2,3,4} and conclude that the VIPS 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 Buy VIPS stock.**

## Key Points

- What statistical methods are used to analyze data?
- What is statistical models in machine learning?
- Can machine learning predict?

## VIPS Target Price Prediction Modeling Methodology

We consider Vipshop Holdings Limited American Depositary Shares each representing two ordinary shares Decision Process with Statistical Inference (ML) where A is the set of discrete actions of VIPS 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(Chi-Square)

^{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(Statistical Inference (ML)) X S(n):→ (n+4 weeks) $\overrightarrow{R}=\left({r}_{1},{r}_{2},{r}_{3}\right)$

n:Time series to forecast

p:Price signals of VIPS 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?

## VIPS Stock Forecast (Buy or Sell) for (n+4 weeks)

**Sample Set:**Neural Network

**Stock/Index:**VIPS Vipshop Holdings Limited American Depositary Shares each representing two ordinary shares

**Time series to forecast n: 07 Dec 2022**for (n+4 weeks)

**According to price forecasts for (n+4 weeks) period: The dominant strategy among neural network is to Buy VIPS 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 Vipshop Holdings Limited American Depositary Shares each representing two ordinary shares

- For loan commitments, an entity considers changes in the risk of a default occurring on the loan to which a loan commitment relates. For financial guarantee contracts, an entity considers the changes in the risk that the specified debtor will default on the contract.
- An entity can rebut this presumption. However, it can do so only when it has reasonable and supportable information available that demonstrates that even if contractual payments become more than 30 days past due, this does not represent a significant increase in the credit risk of a financial instrument. For example when non-payment was an administrative oversight, instead of resulting from financial difficulty of the borrower, or the entity has access to historical evidence that demonstrates that there is no correlation between significant increases in the risk of a default occurring and financial assets on which payments are more than 30 days past due, but that evidence does identify such a correlation when payments are more than 60 days past due.
- If, at the date of initial application, it is impracticable (as defined in IAS 8) for an entity to assess a modified time value of money element in accordance with paragraphs B4.1.9B–B4.1.9D on the basis of the facts and circumstances that existed at the initial recognition of the financial asset, an entity shall assess the contractual cash flow characteristics of that financial asset on the basis of the facts and circumstances that existed at the initial recognition of the financial asset without taking into account the requirements related to the modification of the time value of money element in paragraphs B4.1.9B–B4.1.9D. (See also paragraph 42R of IFRS 7.)
- A net position is eligible for hedge accounting only if an entity hedges on a net basis for risk management purposes. Whether an entity hedges in this way is a matter of fact (not merely of assertion or documentation). Hence, an entity cannot apply hedge accounting on a net basis solely to achieve a particular accounting outcome if that would not reflect its risk management approach. Net position hedging must form part of an established risk management strategy. Normally this would be approved by key management personnel as defined in IAS 24.

*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

Vipshop Holdings Limited American Depositary Shares each representing two ordinary shares assigned short-term Ba2 & long-term Ba2 forecasted stock rating.** We evaluate the prediction models Statistical Inference (ML) with Chi-Square ^{1,2,3,4} and conclude that the VIPS 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 Buy VIPS stock.**

### Financial State Forecast for VIPS Vipshop Holdings Limited American Depositary Shares each representing two ordinary shares Options & Futures

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

Outlook* | Ba2 | Ba2 |

Operational Risk | 83 | 54 |

Market Risk | 80 | 82 |

Technical Analysis | 63 | 73 |

Fundamental Analysis | 49 | 68 |

Risk Unsystematic | 68 | 57 |

### Prediction Confidence Score

## References

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- Çetinkaya, A., Zhang, Y.Z., Hao, Y.M. and Ma, X.Y., MO Stock Price Prediction. AC Investment Research Journal, 101(3).
- J. Z. Leibo, V. Zambaldi, M. Lanctot, J. Marecki, and T. Graepel. Multi-agent Reinforcement Learning in Sequential Social Dilemmas. In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017), Sao Paulo, Brazil, 2017
- D. Bertsekas and J. Tsitsiklis. Neuro-dynamic programming. Athena Scientific, 1996.

## Frequently Asked Questions

Q: What is the prediction methodology for VIPS stock?A: VIPS stock prediction methodology: We evaluate the prediction models Statistical Inference (ML) and Chi-Square

Q: Is VIPS stock a buy or sell?

A: The dominant strategy among neural network is to Buy VIPS Stock.

Q: Is Vipshop Holdings Limited American Depositary Shares each representing two ordinary shares stock a good investment?

A: The consensus rating for Vipshop Holdings Limited American Depositary Shares each representing two ordinary shares is Buy and assigned short-term Ba2 & long-term Ba2 forecasted stock rating.

Q: What is the consensus rating of VIPS stock?

A: The consensus rating for VIPS is Buy.

Q: What is the prediction period for VIPS stock?

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