**Outlook:**ZK International Group Co. Ltd Ordinary Share is assigned short-term B1 & long-term B1 estimated rating.

**AUC Score :**

**Short-Term Revised* :**

**Dominant Strategy :**Speculative Trend

**Time series to forecast n:** for 6 Month

**Methodology :**Multi-Instance Learning (ML)

**Hypothesis Testing :**Pearson Correlation

**Surveillance :**Major exchange and OTC

## Abstract

ZK International Group Co. Ltd Ordinary Share prediction model is evaluated with Multi-Instance Learning (ML) and Pearson Correlation^{1,2,3,4}and it is concluded that the ZKIN stock is predictable in the short/long term. Multi-instance learning (MIL) is a machine learning (ML) problem where a dataset consists of multiple instances, and each instance is associated with a single label. The goal of MIL is to learn a model that can predict the label of a new instance based on the labels of the instances that it is similar to. MIL is a challenging problem because the instances in a dataset are not labeled individually. This means that the model cannot simply learn a mapping from the features of an instance to its label. Instead, the model must learn a way to combine the features of multiple instances to predict the label of a new instance.

**According to price forecasts for 6 Month period, the dominant strategy among neural network is: Speculative Trend**

***Revision**

We revised our short-term strategy to

## Key Points

- Buy, Sell and Hold Signals
- Prediction Modeling
- Market Risk

## ZKIN Target Price Prediction Modeling Methodology

We consider ZK International Group Co. Ltd Ordinary Share Decision Process with Multi-Instance Learning (ML) where A is the set of discrete actions of ZKIN 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(Multi-Instance Learning (ML)) X S(n):→ 6 Month $\sum _{i=1}^{n}\left({a}_{i}\right)$

n:Time series to forecast

p:Price signals of ZKIN stock

j:Nash equilibria (Neural Network)

k:Dominated move

a:Best response for target price

### Multi-Instance Learning (ML)

Multi-instance learning (MIL) is a machine learning (ML) problem where a dataset consists of multiple instances, and each instance is associated with a single label. The goal of MIL is to learn a model that can predict the label of a new instance based on the labels of the instances that it is similar to. MIL is a challenging problem because the instances in a dataset are not labeled individually. This means that the model cannot simply learn a mapping from the features of an instance to its label. Instead, the model must learn a way to combine the features of multiple instances to predict the label of a new instance.### Pearson Correlation

Pearson correlation, also known as Pearson's product-moment correlation, is a measure of the linear relationship between two variables. It is a statistical measure that assesses the strength and direction of a linear relationship between two variables. The sign of the correlation coefficient indicates the direction of the relationship, while the magnitude of the correlation coefficient indicates the strength of the relationship. A correlation coefficient of 0.9 indicates a strong positive correlation, while a correlation coefficient of 0.2 indicates a weak positive correlation.

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?

## ZKIN Stock Forecast (Buy or Sell) for 6 Month

**Sample Set:**Neural Network

**Stock/Index:**ZKIN ZK International Group Co. Ltd Ordinary Share

**Time series to forecast:**6 Month

**According to price forecasts for 6 Month period, the dominant strategy among neural network is: Speculative Trend**

**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 ZK International Group Co. Ltd Ordinary Share

- For purchased or originated credit-impaired financial assets, expected credit losses shall be discounted using the credit-adjusted effective interest rate determined at initial recognition.
- An entity is not required to restate prior periods to reflect the application of these amendments. The entity may restate prior periods only if it is possible to do so without the use of hindsight. If an entity restates prior periods, the restated financial statements must reflect all the requirements in this Standard for the affected financial instruments. If an entity does not restate prior periods, the entity shall recognise any difference between the previous carrying amount and the carrying amount at the beginning of the annual reporting period that includes the date of initial application of these amendments in the opening retained earnings (or other component of equity, as appropriate) of the annual reporting period that includes the date of initial application of these amendments.
- When assessing a modified time value of money element, an entity must consider factors that could affect future contractual cash flows. For example, if an entity is assessing a bond with a five-year term and the variable interest rate is reset every six months to a five-year rate, the entity cannot conclude that the contractual cash flows are solely payments of principal and interest on the principal amount outstanding simply because the interest rate curve at the time of the assessment is such that the difference between a five-year interest rate and a six-month interest rate is not significant. Instead, the entity must also consider whether the relationship between the five-year interest rate and the six-month interest rate could change over the life of the instrument such that the contractual (undiscounted) cash flows over the life of the instrument could be significantly different from the (undiscounted) benchmark cash flows. However, an entity must consider only reasonably possible scenarios instead of every possible scenario. If an entity concludes that the contractual (undiscounted) cash flows could be significantly different from the (undiscounted) benchmark cash flows, the financial asset does not meet the condition in paragraphs 4.1.2(b) and 4.1.2A(b) and therefore cannot be measured at amortised cost or fair value through other comprehensive income.
- To the extent that a transfer of a financial asset does not qualify for derecognition, the transferor's contractual rights or obligations related to the transfer are not accounted for separately as derivatives if recognising both the derivative and either the transferred asset or the liability arising from the transfer would result in recognising the same rights or obligations twice. For example, a call option retained by the transferor may prevent a transfer of financial assets from being accounted for as a sale. In that case, the call option is not separately recognised as a derivative asset.

*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

ZK International Group Co. Ltd Ordinary Share is assigned short-term B1 & long-term B1 estimated rating. ZK International Group Co. Ltd Ordinary Share prediction model is evaluated with Multi-Instance Learning (ML) and Pearson Correlation^{1,2,3,4} and it is concluded that the ZKIN stock is predictable in the short/long term. ** According to price forecasts for 6 Month period, the dominant strategy among neural network is: Speculative Trend**

### ZKIN ZK International Group Co. Ltd Ordinary Share Financial Analysis*

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

Outlook* | B1 | B1 |

Income Statement | Caa2 | Baa2 |

Balance Sheet | Baa2 | B1 |

Leverage Ratios | B3 | Baa2 |

Cash Flow | Ba2 | Caa2 |

Rates of Return and Profitability | Ba1 | C |

*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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- Bessler, D. A. S. W. Fuller (1993), "Cointegration between U.S. wheat markets," Journal of Regional Science, 33, 481–501.
- Tibshirani R, Hastie T. 1987. Local likelihood estimation. J. Am. Stat. Assoc. 82:559–67
- Ashley, R. (1983), "On the usefulness of macroeconomic forecasts as inputs to forecasting models," Journal of Forecasting, 2, 211–223.
- ZXhang, Y.X., Haxo, Y.M. and Mat, Y.X., 2023. Can Neural Networks Predict Stock Market? (No. Stock Analysis). AC Investment Research.
- Mikolov T, Yih W, Zweig G. 2013c. Linguistic regularities in continuous space word representations. In Pro- ceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 746–51. New York: Assoc. Comput. Linguist.
- M. Ono, M. Pavone, Y. Kuwata, and J. Balaram. Chance-constrained dynamic programming with application to risk-aware robotic space exploration. Autonomous Robots, 39(4):555–571, 2015

## Frequently Asked Questions

Q: What is the prediction methodology for ZKIN stock?A: ZKIN stock prediction methodology: We evaluate the prediction models Multi-Instance Learning (ML) and Pearson Correlation

Q: Is ZKIN stock a buy or sell?

A: The dominant strategy among neural network is to Speculative Trend ZKIN Stock.

Q: Is ZK International Group Co. Ltd Ordinary Share stock a good investment?

A: The consensus rating for ZK International Group Co. Ltd Ordinary Share is Speculative Trend and is assigned short-term B1 & long-term B1 estimated rating.

Q: What is the consensus rating of ZKIN stock?

A: The consensus rating for ZKIN is Speculative Trend.

Q: What is the prediction period for ZKIN stock?

A: The prediction period for ZKIN is 6 Month

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