Abstract
We evaluate Kinross Gold Corporation prediction models with Ring Oscillators and Multiple Regression1,2,3,4 and conclude that the K stock is predictable in the short/long term. According to price forecasts for (n+8 weeks) period: The dominant strategy among neural network is to Sell K stock.
Keywords: K, Kinross Gold Corporation, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.
Key Points
- Nash Equilibria
- Can machine learning predict?
- Trading Signals

K Target Price Prediction Modeling Methodology
We consider Kinross Gold Corporation Stock Decision Process with Multiple Regression where A is the set of discrete actions of K 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= X R(Ring Oscillators) X S(n):→ (n+8 weeks)
n:Time series to forecast
p:Price signals of K 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?
K Stock Forecast (Buy or Sell) for (n+8 weeks)
Sample Set: Neural NetworkStock/Index: K Kinross Gold Corporation
Time series to forecast n: 01 Sep 2022 for (n+8 weeks)
According to price forecasts for (n+8 weeks) period: The dominant strategy among neural network is to Sell K 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
Kinross Gold Corporation assigned short-term Ba3 & long-term B3 forecasted stock rating. We evaluate the prediction models Ring Oscillators with Multiple Regression1,2,3,4 and conclude that the K stock is predictable in the short/long term. According to price forecasts for (n+8 weeks) period: The dominant strategy among neural network is to Sell K stock.
Financial State Forecast for K Stock Options & Futures
Rating | Short-Term | Long-Term Senior |
---|---|---|
Outlook* | Ba3 | B3 |
Operational Risk | 81 | 35 |
Market Risk | 43 | 53 |
Technical Analysis | 48 | 59 |
Fundamental Analysis | 66 | 59 |
Risk Unsystematic | 84 | 31 |
Prediction Confidence Score
References
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- S. Bhatnagar, H. Prasad, and L. Prashanth. Stochastic recursive algorithms for optimization, volume 434. Springer, 2013
- Mnih A, Kavukcuoglu K. 2013. Learning word embeddings efficiently with noise-contrastive estimation. In Advances in Neural Information Processing Systems, Vol. 26, ed. Z Ghahramani, M Welling, C Cortes, ND Lawrence, KQ Weinberger, pp. 2265–73. San Diego, CA: Neural Inf. Process. Syst. Found.
- O. Bardou, N. Frikha, and G. Pag`es. Computing VaR and CVaR using stochastic approximation and adaptive unconstrained importance sampling. Monte Carlo Methods and Applications, 15(3):173–210, 2009.
- Chamberlain G. 2000. Econometrics and decision theory. J. Econom. 95:255–83
- Hastie T, Tibshirani R, Friedman J. 2009. The Elements of Statistical Learning. Berlin: Springer
- J. Filar, D. Krass, and K. Ross. Percentile performance criteria for limiting average Markov decision pro- cesses. IEEE Transaction of Automatic Control, 40(1):2–10, 1995.
Frequently Asked Questions
Q: What is the prediction methodology for K stock?A: K stock prediction methodology: We evaluate the prediction models Ring Oscillators and Multiple Regression
Q: Is K stock a buy or sell?
A: The dominant strategy among neural network is to Sell K Stock.
Q: Is Kinross Gold Corporation stock a good investment?
A: The consensus rating for Kinross Gold Corporation is Sell and assigned short-term Ba3 & long-term B3 forecasted stock rating.
Q: What is the consensus rating of K stock?
A: The consensus rating for K is Sell.
Q: What is the prediction period for K stock?
A: The prediction period for K is (n+8 weeks)