**Outlook:**ASSURA PLC is assigned short-term Ba1 & long-term Ba1 estimated rating.

**Dominant Strategy :**Sell

**Time series to forecast n: 16 Jan 2023**for (n+8 weeks)

**Methodology :**Statistical Inference (ML)

## Abstract

ASSURA PLC prediction model is evaluated with Statistical Inference (ML) and Multiple Regression^{1,2,3,4}and it is concluded that the LON:AGR stock is predictable in the short/long term.

**According to price forecasts for (n+8 weeks) period, the dominant strategy among neural network is: Sell**

## Key Points

- What is prediction in deep learning?
- Understanding Buy, Sell, and Hold Ratings
- What is the use of Markov decision process?

## LON:AGR Target Price Prediction Modeling Methodology

We consider ASSURA PLC Decision Process with Statistical Inference (ML) where A is the set of discrete actions of LON:AGR 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}= $\begin{array}{cccc}{p}_{\mathrm{a}1}& {p}_{\mathrm{a}2}& \dots & {p}_{1n}\\ & \vdots \\ {p}_{j1}& {p}_{j2}& \dots & {p}_{jn}\\ & \vdots \\ {p}_{k1}& {p}_{k2}& \dots & {p}_{kn}\\ & \vdots \\ {p}_{n1}& {p}_{n2}& \dots & {p}_{nn}\end{array}$ X R(Statistical Inference (ML)) X S(n):→ (n+8 weeks) $\sum _{i=1}^{n}\left({r}_{i}\right)$

n:Time series to forecast

p:Price signals of LON:AGR stock

j:Nash equilibria (Neural Network)

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:AGR Stock Forecast (Buy or Sell) for (n+8 weeks)

**Sample Set:**Neural Network

**Stock/Index:**LON:AGR ASSURA PLC

**Time series to forecast n: 16 Jan 2023**for (n+8 weeks)

**According to price forecasts for (n+8 weeks) period, the dominant strategy among neural network is: Sell**

**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 (Grey to Black): *Technical Analysis%**

## IFRS Reconciliation Adjustments for ASSURA PLC

- An entity shall apply Annual Improvements to IFRS Standards 2018–2020 to financial liabilities that are modified or exchanged on or after the beginning of the annual reporting period in which the entity first applies the amendment.
- In addition to those hedging relationships specified in paragraph 6.9.1, an entity shall apply the requirements in paragraphs 6.9.11 and 6.9.12 to new hedging relationships in which an alternative benchmark rate is designated as a non-contractually specified risk component (see paragraphs 6.3.7(a) and B6.3.8) when, because of interest rate benchmark reform, that risk component is not separately identifiable at the date it is designated.
- If an entity originates a loan that bears an off-market interest rate (eg 5 per cent when the market rate for similar loans is 8 per cent), and receives an upfront fee as compensation, the entity recognises the loan at its fair value, ie net of the fee it receives.
- The following are examples of when the objective of the entity's business model may be achieved by both collecting contractual cash flows and selling financial assets. This list of examples is not exhaustive. Furthermore, the examples are not intended to describe all the factors that may be relevant to the assessment of the entity's business model nor specify the relative importance of the factors.

*International Financial Reporting Standards (IFRS) adjustment process involves reviewing the company's financial statements and identifying any differences between the company's current accounting practices and the requirements of the IFRS. If there are any such differences, neural network makes adjustments to financial statements to bring them into compliance with the IFRS.

## Conclusions

ASSURA PLC is assigned short-term Ba1 & long-term Ba1 estimated rating. ASSURA PLC prediction model is evaluated with Statistical Inference (ML) and Multiple Regression^{1,2,3,4} and it is concluded that the LON:AGR stock is predictable in the short/long term. ** According to price forecasts for (n+8 weeks) period, the dominant strategy among neural network is: Sell**

### LON:AGR ASSURA PLC Financial Analysis*

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

Outlook* | Ba1 | Ba1 |

Income Statement | B2 | Baa2 |

Balance Sheet | B2 | Baa2 |

Leverage Ratios | C | C |

Cash Flow | Caa2 | Ba3 |

Rates of Return and Profitability | Baa2 | C |

*Financial analysis is the process of evaluating a company's financial performance and position by neural network. It involves reviewing the company's financial statements, including the balance sheet, income statement, and cash flow statement, as well as other financial reports and documents.

How does neural network examine financial reports and understand financial state of the company?

### Prediction Confidence Score

## References

- Çetinkaya, A., Zhang, Y.Z., Hao, Y.M. and Ma, X.Y., MO Stock Price Prediction. AC Investment Research Journal, 101(3).
- White H. 1992. Artificial Neural Networks: Approximation and Learning Theory. Oxford, UK: Blackwell
- Barkan O. 2016. Bayesian neural word embedding. arXiv:1603.06571 [math.ST]
- Bastani H, Bayati M. 2015. Online decision-making with high-dimensional covariates. Work. Pap., Univ. Penn./ Stanford Grad. School Bus., Philadelphia/Stanford, CA
- V. Borkar. Q-learning for risk-sensitive control. Mathematics of Operations Research, 27:294–311, 2002.
- Kallus N. 2017. Balanced policy evaluation and learning. arXiv:1705.07384 [stat.ML]
- Wu X, Kumar V, Quinlan JR, Ghosh J, Yang Q, et al. 2008. Top 10 algorithms in data mining. Knowl. Inform. Syst. 14:1–37

## Frequently Asked Questions

Q: What is the prediction methodology for LON:AGR stock?A: LON:AGR stock prediction methodology: We evaluate the prediction models Statistical Inference (ML) and Multiple Regression

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

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

Q: Is ASSURA PLC stock a good investment?

A: The consensus rating for ASSURA PLC is Sell and is assigned short-term Ba1 & long-term Ba1 estimated rating.

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

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

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

A: The prediction period for LON:AGR is (n+8 weeks)

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