JKS JinkoSolar Holding Company Limited American Depositary Shares (each representing 4 Common Shares) (Forecast)

Outlook: JinkoSolar Holding Company Limited American Depositary Shares (each representing 4 Common Shares) assigned short-term Ba1 & long-term Ba1 estimated rating.
Dominant Strategy : Buy
Time series to forecast n: 23 Dec 2022 for (n+4 weeks)
Methodology : Deductive Inference (ML)

Abstract

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. (Qiu, M. and Song, Y., 2016. Predicting the direction of stock market index movement using an optimized artificial neural network model. PloS one, 11(5), p.e0155133.) We evaluate JinkoSolar Holding Company Limited American Depositary Shares (each representing 4 Common Shares) prediction models with Deductive Inference (ML) and Multiple Regression^1,2,3,4 and conclude that the JKS stock is predictable in the short/long term. According to price forecasts for (n+4 weeks) period, the dominant strategy among neural network is: Buy

Key Points

1. Operational Risk
2. What is a prediction confidence?
3. Technical Analysis with Algorithmic Trading

JKS Target Price Prediction Modeling Methodology

We consider JinkoSolar Holding Company Limited American Depositary Shares (each representing 4 Common Shares) Decision Process with Deductive Inference (ML) where A is the set of discrete actions of JKS 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(Multiple Regression)^5,6,7= $\begin{array}{cccc}{p}_{\mathrm{a}1}& p_{\mathrm{a}2}& \dots & p_{1n}\\ & ⋮\\ p_{j1}& p_{j2}& \dots & p_{jn}\\ & ⋮\\ p_{k1}& p_{k2}& \dots & p_{kn}\\ & ⋮\\ p_{n1}& p_{n2}& \dots & p_{nn}\end{array}$ X R(Deductive Inference (ML)) X S(n):→ (n+4 weeks) $\begin{array}{l}\int e^x\mathrm{rx}\end{array}$

n:Time series to forecast

p:Price signals of JKS 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?

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

Sample Set: Neural Network
Stock/Index: JKS JinkoSolar Holding Company Limited American Depositary Shares (each representing 4 Common Shares)
Time series to forecast n: 23 Dec 2022 for (n+4 weeks)

According to price forecasts for (n+4 weeks) period, the dominant strategy among neural network is: Buy

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 JinkoSolar Holding Company Limited American Depositary Shares (each representing 4 Common Shares)

1. An entity shall apply the impairment requirements in Section 5.5 retrospectively in accordance with IAS 8 subject to paragraphs 7.2.15 and 7.2.18–7.2.20.
2. An entity shall apply Annual Improvements to IFRS Standards 2018–2020 to financial liabilities that are modified or exchanged on or after the beginning of the annual reporting period in which the entity first applies the amendment.
3. If an entity has applied paragraph 7.2.6 then at the date of initial application the entity shall recognise any difference between the fair value of the entire hybrid contract at the date of initial application and the sum of the fair values of the components of the hybrid contract at the date of initial application in the opening retained earnings (or other component of equity, as appropriate) of the reporting period that includes the date of initial application.
4. Rebalancing refers to the adjustments made to the designated quantities of the hedged item or the hedging instrument of an already existing hedging relationship for the purpose of maintaining a hedge ratio that complies with the hedge effectiveness requirements. Changes to designated quantities of a hedged item or of a hedging instrument for a different purpose do not constitute rebalancing for the purpose of this Standard

*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

JinkoSolar Holding Company Limited American Depositary Shares (each representing 4 Common Shares) assigned short-term Ba1 & long-term Ba1 estimated rating. We evaluate the prediction models Deductive Inference (ML) with Multiple Regression^1,2,3,4 and conclude that the JKS stock is predictable in the short/long term. According to price forecasts for (n+4 weeks) period, the dominant strategy among neural network is: Buy

JKS JinkoSolar Holding Company Limited American Depositary Shares (each representing 4 Common Shares) Financial Analysis*

Rating	Short-Term	Long-Term Senior
Outlook*	Ba1	Ba1
Income Statement	Caa2	Ba3
Balance Sheet	Caa2	B2
Leverage Ratios	Baa2	Baa2
Cash Flow	Ba3	B2
Rates of Return and Profitability	C	B1

*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

Trust metric by Neural Network: 74 out of 100 with 742 signals.

References

1. Artis, M. J. W. Zhang (1990), "BVAR forecasts for the G-7," International Journal of Forecasting, 6, 349–362.
2. Bai J. 2003. Inferential theory for factor models of large dimensions. Econometrica 71:135–71
3. Athey S. 2017. Beyond prediction: using big data for policy problems. Science 355:483–85
4. Hartford J, Lewis G, Taddy M. 2016. Counterfactual prediction with deep instrumental variables networks. arXiv:1612.09596 [stat.AP]
5. Angrist JD, Pischke JS. 2008. Mostly Harmless Econometrics: An Empiricist's Companion. Princeton, NJ: Princeton Univ. Press
6. Imbens GW, Rubin DB. 2015. Causal Inference in Statistics, Social, and Biomedical Sciences. Cambridge, UK: Cambridge Univ. Press
7. Armstrong, J. S. M. C. Grohman (1972), "A comparative study of methods for long-range market forecasting," Management Science, 19, 211–221.

Frequently Asked Questions

Q: What is the prediction methodology for JKS stock?
A: JKS stock prediction methodology: We evaluate the prediction models Deductive Inference (ML) and Multiple Regression
Q: Is JKS stock a buy or sell?
A: The dominant strategy among neural network is to Buy JKS Stock.
Q: Is JinkoSolar Holding Company Limited American Depositary Shares (each representing 4 Common Shares) stock a good investment?
A: The consensus rating for JinkoSolar Holding Company Limited American Depositary Shares (each representing 4 Common Shares) is Buy and assigned short-term Ba1 & long-term Ba1 estimated rating.
Q: What is the consensus rating of JKS stock?
A: The consensus rating for JKS is Buy.
Q: What is the prediction period for JKS stock?
A: The prediction period for JKS is (n+4 weeks)

Premium

• Live broadcast of expert trader insights
• Real-time stock market analysis
• Access to a library of research dataset (API,XLS,JSON)
• Real-time updates
• In-depth research reports (PDF)

Login