Buy, Sell, or Hold?  (K Stock Forecast)

Weitzman, Martin L.; Nakamoto, Satoshi; ZXhang, Yoshua X; Haxo, Yann M; Mat , Ying X

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.

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=

\begin{matrix} p_{a 1} & p_{a 2} & \dots & p_{1 n} \\ ⋮ \\ p_{j 1} & p_{j 2} & \dots & p_{j n} \\ ⋮ \\ p_{k 1} & p_{k 2} & \dots & p_{k n} \\ ⋮ \\ p_{n 1} & p_{n 2} & \dots & p_{n n} \end{matrix}

X R(Ring Oscillators) X S(n):→ (n+8 weeks)

\begin{array}{l} \int r^{s} 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

Trust metric by Neural Network: 80 out of 100 with 826 signals.

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)

Buy, Sell, or Hold? (K Stock Forecast)