## Abstract

**We evaluate Kinross Gold Corporation prediction models with Ring Oscillators and Multiple Regression ^{1,2,3,4} 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.**

**K, Kinross Gold Corporation, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.**

*Keywords:*## 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 Î³ ∈ [0, 1] is a move factor for expectation.^{1,2,3,4}

F(Multiple Regression)

^{5,6,7}= $\begin{array}{cccc}{p}_{\mathrm{a}1}& {p}_{\mathrm{a}2}& \dots & {p}_{1n}\\ & \vdots \\ {p}_{j1}& {p}_{j2}& \dots & {p}_{jn}\\ & \vdots \\ {p}_{k1}& {p}_{k2}& \dots & {p}_{kn}\\ & \vdots \\ {p}_{n1}& {p}_{n2}& \dots & {p}_{nn}\end{array}$ X R(Ring Oscillators) X S(n):→ (n+8 weeks) $\begin{array}{l}\int {r}^{s}\mathrm{rs}\end{array}$

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 Network

**Stock/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 Regression ^{1,2,3,4} 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

- Mazumder R, Hastie T, Tibshirani R. 2010. Spectral regularization algorithms for learning large incomplete matrices. J. Mach. Learn. Res. 11:2287–322
- 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)