## Abstract

**We evaluate CURTIS BANKS GROUP PLC prediction models with Statistical Inference (ML) and Spearman Correlation ^{1,2,3,4} and conclude that the LON:CBP stock is predictable in the short/long term. **

**According to price forecasts for (n+3 month) period: The dominant strategy among neural network is to Sell LON:CBP stock.**

**LON:CBP, CURTIS BANKS GROUP PLC, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.**

*Keywords:*## Key Points

- What statistical methods are used to analyze data?
- Stock Forecast Based On a Predictive Algorithm
- What are the most successful trading algorithms?

## LON:CBP Target Price Prediction Modeling Methodology

We consider CURTIS BANKS GROUP PLC Stock Decision Process with Spearman Correlation where A is the set of discrete actions of LON:CBP 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(Spearman 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(Statistical Inference (ML)) X S(n):→ (n+3 month) $\sum _{i=1}^{n}\left({a}_{i}\right)$

n:Time series to forecast

p:Price signals of LON:CBP 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?

## LON:CBP Stock Forecast (Buy or Sell) for (n+3 month)

**Sample Set:**Neural Network

**Stock/Index:**LON:CBP CURTIS BANKS GROUP PLC

**Time series to forecast n: 09 Sep 2022**for (n+3 month)

**According to price forecasts for (n+3 month) period: The dominant strategy among neural network is to Sell LON:CBP 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

CURTIS BANKS GROUP PLC assigned short-term Ba3 & long-term Ba3 forecasted stock rating.** We evaluate the prediction models Statistical Inference (ML) with Spearman Correlation ^{1,2,3,4} and conclude that the LON:CBP stock is predictable in the short/long term.**

**According to price forecasts for (n+3 month) period: The dominant strategy among neural network is to Sell LON:CBP stock.**

### Financial State Forecast for LON:CBP Stock Options & Futures

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

Outlook* | Ba3 | Ba3 |

Operational Risk | 89 | 51 |

Market Risk | 72 | 71 |

Technical Analysis | 65 | 68 |

Fundamental Analysis | 38 | 87 |

Risk Unsystematic | 52 | 33 |

### Prediction Confidence Score

## References

- A. Y. Ng, D. Harada, and S. J. Russell. Policy invariance under reward transformations: Theory and application to reward shaping. In Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27 - 30, 1999, pages 278–287, 1999.
- Krizhevsky A, Sutskever I, Hinton GE. 2012. Imagenet classification with deep convolutional neural networks. In Advances in Neural Information Processing Systems, Vol. 25, ed. Z Ghahramani, M Welling, C Cortes, ND Lawrence, KQ Weinberger, pp. 1097–105. San Diego, CA: Neural Inf. Process. Syst. Found.
- Chow, G. C. (1960), "Tests of equality between sets of coefficients in two linear regressions," Econometrica, 28, 591–605.
- Clements, M. P. D. F. Hendry (1997), "An empirical study of seasonal unit roots in forecasting," International Journal of Forecasting, 13, 341–355.
- Thomas P, Brunskill E. 2016. Data-efficient off-policy policy evaluation for reinforcement learning. In Pro- ceedings of the International Conference on Machine Learning, pp. 2139–48. La Jolla, CA: Int. Mach. Learn. Soc.
- Athey S, Bayati M, Doudchenko N, Imbens G, Khosravi K. 2017a. Matrix completion methods for causal panel data models. arXiv:1710.10251 [math.ST]
- Clements, M. P. D. F. Hendry (1995), "Forecasting in cointegrated systems," Journal of Applied Econometrics, 10, 127–146.

## Frequently Asked Questions

Q: What is the prediction methodology for LON:CBP stock?A: LON:CBP stock prediction methodology: We evaluate the prediction models Statistical Inference (ML) and Spearman Correlation

Q: Is LON:CBP stock a buy or sell?

A: The dominant strategy among neural network is to Sell LON:CBP Stock.

Q: Is CURTIS BANKS GROUP PLC stock a good investment?

A: The consensus rating for CURTIS BANKS GROUP PLC is Sell and assigned short-term Ba3 & long-term Ba3 forecasted stock rating.

Q: What is the consensus rating of LON:CBP stock?

A: The consensus rating for LON:CBP is Sell.

Q: What is the prediction period for LON:CBP stock?

A: The prediction period for LON:CBP is (n+3 month)