## Abstract

**We evaluate H&R Block prediction models with Exponential Moving Average (EMA) and ElasticNet Regression ^{1,2,3,4} and conclude that the HRB stock is predictable in the short/long term. **

**According to price forecasts for (n+1 year) period: The dominant strategy among neural network is to Sell HRB stock.**

**HRB, H&R Block, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.**

*Keywords:*## Key Points

- Investment Risk
- How useful are statistical predictions?
- What is the use of Markov decision process?

## HRB Target Price Prediction Modeling Methodology

We consider H&R Block Stock Decision Process with ElasticNet Regression where A is the set of discrete actions of HRB 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(ElasticNet 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(Exponential Moving Average (EMA)) X S(n):→ (n+1 year) $\sum _{i=1}^{n}\left({a}_{i}\right)$

n:Time series to forecast

p:Price signals of HRB 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?

## HRB Stock Forecast (Buy or Sell) for (n+1 year)

**Sample Set:**Neural Network

**Stock/Index:**HRB H&R Block

**Time series to forecast n: 01 Sep 2022**for (n+1 year)

**According to price forecasts for (n+1 year) period: The dominant strategy among neural network is to Sell HRB 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

H&R Block assigned short-term Ba1 & long-term Ba3 forecasted stock rating.** We evaluate the prediction models Exponential Moving Average (EMA) with ElasticNet Regression ^{1,2,3,4} and conclude that the HRB stock is predictable in the short/long term.**

**According to price forecasts for (n+1 year) period: The dominant strategy among neural network is to Sell HRB stock.**

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

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

Outlook* | Ba1 | Ba3 |

Operational Risk | 87 | 65 |

Market Risk | 32 | 68 |

Technical Analysis | 73 | 55 |

Fundamental Analysis | 82 | 71 |

Risk Unsystematic | 84 | 64 |

### Prediction Confidence Score

## References

- Rumelhart DE, Hinton GE, Williams RJ. 1986. Learning representations by back-propagating errors. Nature 323:533–36
- Chow, G. C. (1960), "Tests of equality between sets of coefficients in two linear regressions," Econometrica, 28, 591–605.
- Ruiz FJ, Athey S, Blei DM. 2017. SHOPPER: a probabilistic model of consumer choice with substitutes and complements. arXiv:1711.03560 [stat.ML]
- Mikolov T, Yih W, Zweig G. 2013c. Linguistic regularities in continuous space word representations. In Pro- ceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 746–51. New York: Assoc. Comput. Linguist.
- 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.
- D. Bertsekas. Min common/max crossing duality: A geometric view of conjugacy in convex optimization. Lab. for Information and Decision Systems, MIT, Tech. Rep. Report LIDS-P-2796, 2009
- K. Boda, J. Filar, Y. Lin, and L. Spanjers. Stochastic target hitting time and the problem of early retirement. Automatic Control, IEEE Transactions on, 49(3):409–419, 2004

## Frequently Asked Questions

Q: What is the prediction methodology for HRB stock?A: HRB stock prediction methodology: We evaluate the prediction models Exponential Moving Average (EMA) and ElasticNet Regression

Q: Is HRB stock a buy or sell?

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

Q: Is H&R Block stock a good investment?

A: The consensus rating for H&R Block is Sell and assigned short-term Ba1 & long-term Ba3 forecasted stock rating.

Q: What is the consensus rating of HRB stock?

A: The consensus rating for HRB is Sell.

Q: What is the prediction period for HRB stock?

A: The prediction period for HRB is (n+1 year)