## Abstract

**We evaluate Matador Resources prediction models with Statistical Inference (ML) and Wilcoxon Rank-Sum Test ^{1,2,3,4} and conclude that the MTDR 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 Hold MTDR stock.**

**MTDR, Matador Resources, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.**

*Keywords:*## Key Points

- How do predictive algorithms actually work?
- Can we predict stock market using machine learning?
- Technical Analysis with Algorithmic Trading

## MTDR Target Price Prediction Modeling Methodology

We consider Matador Resources Stock Decision Process with Wilcoxon Rank-Sum Test where A is the set of discrete actions of MTDR 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(Wilcoxon Rank-Sum Test)

^{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) $\overrightarrow{R}=\left({r}_{1},{r}_{2},{r}_{3}\right)$

n:Time series to forecast

p:Price signals of MTDR 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?

## MTDR Stock Forecast (Buy or Sell) for (n+3 month)

**Sample Set:**Neural Network

**Stock/Index:**MTDR Matador Resources

**Time series to forecast n: 05 Sep 2022**for (n+3 month)

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

Matador Resources assigned short-term B1 & long-term Baa2 forecasted stock rating.** We evaluate the prediction models Statistical Inference (ML) with Wilcoxon Rank-Sum Test ^{1,2,3,4} and conclude that the MTDR 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 Hold MTDR stock.**

### Financial State Forecast for MTDR Stock Options & Futures

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

Outlook* | B1 | Baa2 |

Operational Risk | 63 | 66 |

Market Risk | 62 | 71 |

Technical Analysis | 63 | 84 |

Fundamental Analysis | 76 | 87 |

Risk Unsystematic | 39 | 80 |

### Prediction Confidence Score

## References

- Bottomley, P. R. Fildes (1998), "The role of prices in models of innovation diffusion," Journal of Forecasting, 17, 539–555.
- Bessler, D. A. S. W. Fuller (1993), "Cointegration between U.S. wheat markets," Journal of Regional Science, 33, 481–501.
- Clements, M. P. D. F. Hendry (1996), "Intercept corrections and structural change," Journal of Applied Econometrics, 11, 475–494.
- S. Proper and K. Tumer. Modeling difference rewards for multiagent learning (extended abstract). In Proceedings of the Eleventh International Joint Conference on Autonomous Agents and Multiagent Systems, Valencia, Spain, June 2012
- A. Tamar, D. Di Castro, and S. Mannor. Policy gradients with variance related risk criteria. In Proceedings of the Twenty-Ninth International Conference on Machine Learning, pages 387–396, 2012.
- Breusch, T. S. (1978), "Testing for autocorrelation in dynamic linear models," Australian Economic Papers, 17, 334–355.
- Mazumder R, Hastie T, Tibshirani R. 2010. Spectral regularization algorithms for learning large incomplete matrices. J. Mach. Learn. Res. 11:2287–322

## Frequently Asked Questions

Q: What is the prediction methodology for MTDR stock?A: MTDR stock prediction methodology: We evaluate the prediction models Statistical Inference (ML) and Wilcoxon Rank-Sum Test

Q: Is MTDR stock a buy or sell?

A: The dominant strategy among neural network is to Hold MTDR Stock.

Q: Is Matador Resources stock a good investment?

A: The consensus rating for Matador Resources is Hold and assigned short-term B1 & long-term Baa2 forecasted stock rating.

Q: What is the consensus rating of MTDR stock?

A: The consensus rating for MTDR is Hold.

Q: What is the prediction period for MTDR stock?

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