## Summary

Neural networks, as an intelligent data mining method, have been used in many different challenging pattern recognition problems such as stock market prediction. However, there is no formal method to determine the optimal neural network for prediction purpose in the literature. In this paper, two kinds of neural networks, a feed forward multi layer Perceptron (MLP) and an Elman recurrent network, are used to predict a company's stock value based on its stock share value history.** We evaluate Natco Pharma Limited prediction models with Deductive Inference (ML) and Logistic Regression ^{1,2,3,4} and conclude that the NSE NATCOPHARM stock is predictable in the short/long term. **

**According to price forecasts for (n+6 month) period: The dominant strategy among neural network is to Hold NSE NATCOPHARM stock.**

## Key Points

- What is statistical models in machine learning?
- What is statistical models in machine learning?
- Can neural networks predict stock market?

## NSE NATCOPHARM Target Price Prediction Modeling Methodology

We consider Natco Pharma Limited Stock Decision Process with Deductive Inference (ML) where A is the set of discrete actions of NSE NATCOPHARM 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(Logistic 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(Deductive Inference (ML)) X S(n):→ (n+6 month) $\sum _{i=1}^{n}\left({s}_{i}\right)$

n:Time series to forecast

p:Price signals of NSE NATCOPHARM 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?

## NSE NATCOPHARM Stock Forecast (Buy or Sell) for (n+6 month)

**Sample Set:**Neural Network

**Stock/Index:**NSE NATCOPHARM Natco Pharma Limited

**Time series to forecast n: 19 Nov 2022**for (n+6 month)

**According to price forecasts for (n+6 month) period: The dominant strategy among neural network is to Hold NSE NATCOPHARM 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%**

## Adjusted IFRS* Prediction Methods for Natco Pharma Limited

- When defining default for the purposes of determining the risk of a default occurring, an entity shall apply a default definition that is consistent with the definition used for internal credit risk management purposes for the relevant financial instrument and consider qualitative indicators (for example, financial covenants) when appropriate. However, there is a rebuttable presumption that default does not occur later than when a financial asset is 90 days past due unless an entity has reasonable and supportable information to demonstrate that a more lagging default criterion is more appropriate. The definition of default used for these purposes shall be applied consistently to all financial instruments unless information becomes available that demonstrates that another default definition is more appropriate for a particular financial instrument.
- In the reporting period that includes the date of initial application of these amendments, an entity is not required to present the quantitative information required by paragraph 28(f) of IAS 8.
- If an entity measures a hybrid contract at fair value in accordance with paragraphs 4.1.2A, 4.1.4 or 4.1.5 but the fair value of the hybrid contract had not been measured in comparative reporting periods, the fair value of the hybrid contract in the comparative reporting periods shall be the sum of the fair values of the components (ie the non-derivative host and the embedded derivative) at the end of each comparative reporting period if the entity restates prior periods (see paragraph 7.2.15).
- When an entity designates a financial liability as at fair value through profit or loss, it must determine whether presenting in other comprehensive income the effects of changes in the liability's credit risk would create or enlarge an accounting mismatch in profit or loss. An accounting mismatch would be created or enlarged if presenting the effects of changes in the liability's credit risk in other comprehensive income would result in a greater mismatch in profit or loss than if those amounts were presented in profit or loss

*International Financial Reporting Standards (IFRS) are a set of accounting rules for the financial statements of public companies that are intended to make them consistent, transparent, and easily comparable around the world.

## Conclusions

Natco Pharma Limited assigned short-term B3 & long-term B1 forecasted stock rating.** We evaluate the prediction models Deductive Inference (ML) with Logistic Regression ^{1,2,3,4} and conclude that the NSE NATCOPHARM stock is predictable in the short/long term.**

**According to price forecasts for (n+6 month) period: The dominant strategy among neural network is to Hold NSE NATCOPHARM stock.**

### Financial State Forecast for NSE NATCOPHARM Natco Pharma Limited Stock Options & Futures

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

Outlook* | B3 | B1 |

Operational Risk | 52 | 73 |

Market Risk | 66 | 31 |

Technical Analysis | 34 | 72 |

Fundamental Analysis | 57 | 57 |

Risk Unsystematic | 46 | 50 |

### Prediction Confidence Score

## References

- Athey S, Bayati M, Imbens G, Zhaonan Q. 2019. Ensemble methods for causal effects in panel data settings. NBER Work. Pap. 25675
- Alpaydin E. 2009. Introduction to Machine Learning. Cambridge, MA: MIT Press
- P. Marbach. Simulated-Based Methods for Markov Decision Processes. PhD thesis, Massachusetts Institute of Technology, 1998
- Belsley, D. A. (1988), "Modelling and forecast reliability," International Journal of Forecasting, 4, 427–447.
- 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.
- E. Altman. Constrained Markov decision processes, volume 7. CRC Press, 1999
- R. Howard and J. Matheson. Risk sensitive Markov decision processes. Management Science, 18(7):356– 369, 1972

## Frequently Asked Questions

Q: What is the prediction methodology for NSE NATCOPHARM stock?A: NSE NATCOPHARM stock prediction methodology: We evaluate the prediction models Deductive Inference (ML) and Logistic Regression

Q: Is NSE NATCOPHARM stock a buy or sell?

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

Q: Is Natco Pharma Limited stock a good investment?

A: The consensus rating for Natco Pharma Limited is Hold and assigned short-term B3 & long-term B1 forecasted stock rating.

Q: What is the consensus rating of NSE NATCOPHARM stock?

A: The consensus rating for NSE NATCOPHARM is Hold.

Q: What is the prediction period for NSE NATCOPHARM stock?

A: The prediction period for NSE NATCOPHARM is (n+6 month)