## Abstract

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**Outlook:**Forum Merger IV Corporation Warrant assigned short-term Ba2 & long-term Ba2 forecasted stock rating.

**Signal:**Hold

**Time series to forecast n: 06 Dec 2022**for (n+4 weeks)

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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.(Torres P, E.P., Hernández-Álvarez, M., Torres Hernández, E.A. and Yoo, S.G., 2019, February. Stock market data prediction using machine learning techniques. In International conference on information technology & systems (pp. 539-547). Springer, Cham.)** We evaluate Forum Merger IV Corporation Warrant prediction models with Modular Neural Network (DNN Layer) and Chi-Square ^{1,2,3,4} and conclude that the FMIVW stock is predictable in the short/long term. **

**According to price forecasts for (n+4 weeks) period: The dominant strategy among neural network is to Hold FMIVW stock.**

## Key Points

- What are main components of Markov decision process?
- Is now good time to invest?
- Why do we need predictive models?

## FMIVW Target Price Prediction Modeling Methodology

We consider Forum Merger IV Corporation Warrant Decision Process with Modular Neural Network (DNN Layer) where A is the set of discrete actions of FMIVW 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(Chi-Square)

^{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(Modular Neural Network (DNN Layer)) X S(n):→ (n+4 weeks) $R=\left(\begin{array}{ccc}1& 0& 0\\ 0& 1& 0\\ 0& 0& 1\end{array}\right)$

n:Time series to forecast

p:Price signals of FMIVW 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?

## FMIVW Stock Forecast (Buy or Sell) for (n+4 weeks)

**Sample Set:**Neural Network

**Stock/Index:**FMIVW Forum Merger IV Corporation Warrant

**Time series to forecast n: 06 Dec 2022**for (n+4 weeks)

**According to price forecasts for (n+4 weeks) period: The dominant strategy among neural network is to Hold FMIVW 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 Forum Merger IV Corporation Warrant

- Lifetime expected credit losses are generally expected to be recognised before a financial instrument becomes past due. Typically, credit risk increases significantly before a financial instrument becomes past due or other lagging borrower-specific factors (for example, a modification or restructuring) are observed. Consequently when reasonable and supportable information that is more forward-looking than past due information is available without undue cost or effort, it must be used to assess changes in credit risk.
- Leverage is a contractual cash flow characteristic of some financial assets. Leverage increases the variability of the contractual cash flows with the result that they do not have the economic characteristics of interest. Stand-alone option, forward and swap contracts are examples of financial assets that include such leverage. Thus, such contracts do not meet the condition in paragraphs 4.1.2(b) and 4.1.2A(b) and cannot be subsequently measured at amortised cost or fair value through other comprehensive income.
- For hedges other than hedges of foreign currency risk, when an entity designates a non-derivative financial asset or a non-derivative financial liability measured at fair value through profit or loss as a hedging instrument, it may only designate the non-derivative financial instrument in its entirety or a proportion of it.
- All investments in equity instruments and contracts on those instruments must be measured at fair value. However, in limited circumstances, cost may be an appropriate estimate of fair value. That may be the case if insufficient more recent information is available to measure fair value, or if there is a wide range of possible fair value measurements and cost represents the best estimate of fair value within that range.

*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

Forum Merger IV Corporation Warrant assigned short-term Ba2 & long-term Ba2 forecasted stock rating.** We evaluate the prediction models Modular Neural Network (DNN Layer) with Chi-Square ^{1,2,3,4} and conclude that the FMIVW stock is predictable in the short/long term.**

**According to price forecasts for (n+4 weeks) period: The dominant strategy among neural network is to Hold FMIVW stock.**

### Financial State Forecast for FMIVW Forum Merger IV Corporation Warrant Options & Futures

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

Outlook* | Ba2 | Ba2 |

Operational Risk | 70 | 62 |

Market Risk | 45 | 51 |

Technical Analysis | 66 | 80 |

Fundamental Analysis | 71 | 61 |

Risk Unsystematic | 86 | 79 |

### Prediction Confidence Score

## References

- J. Filar, D. Krass, and K. Ross. Percentile performance criteria for limiting average Markov decision pro- cesses. IEEE Transaction of Automatic Control, 40(1):2–10, 1995.
- Chen, C. L. Liu (1993), "Joint estimation of model parameters and outlier effects in time series," Journal of the American Statistical Association, 88, 284–297.
- Doudchenko N, Imbens GW. 2016. Balancing, regression, difference-in-differences and synthetic control methods: a synthesis. NBER Work. Pap. 22791
- R. Sutton, D. McAllester, S. Singh, and Y. Mansour. Policy gradient methods for reinforcement learning with function approximation. In Proceedings of Advances in Neural Information Processing Systems 12, pages 1057–1063, 2000
- P. Milgrom and I. Segal. Envelope theorems for arbitrary choice sets. Econometrica, 70(2):583–601, 2002
- Bickel P, Klaassen C, Ritov Y, Wellner J. 1998. Efficient and Adaptive Estimation for Semiparametric Models. Berlin: Springer
- Abadir, K. M., K. Hadri E. Tzavalis (1999), "The influence of VAR dimensions on estimator biases," Econometrica, 67, 163–181.

## Frequently Asked Questions

Q: What is the prediction methodology for FMIVW stock?A: FMIVW stock prediction methodology: We evaluate the prediction models Modular Neural Network (DNN Layer) and Chi-Square

Q: Is FMIVW stock a buy or sell?

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

Q: Is Forum Merger IV Corporation Warrant stock a good investment?

A: The consensus rating for Forum Merger IV Corporation Warrant is Hold and assigned short-term Ba2 & long-term Ba2 forecasted stock rating.

Q: What is the consensus rating of FMIVW stock?

A: The consensus rating for FMIVW is Hold.

Q: What is the prediction period for FMIVW stock?

A: The prediction period for FMIVW is (n+4 weeks)