**Outlook:**Intercontinental Exchange Inc. Common Stock assigned short-term Caa2 & long-term Caa1 forecasted stock rating.

**Dominant Strategy :**Sell

**Time series to forecast n: 07 Dec 2022**for (n+3 month)

**Methodology :**Inductive Learning (ML)

## Abstract

Development of linguistic technologies and penetration of social media provide powerful possibilities to investigate users' moods and psychological states of people. In this paper we discussed possibility to improve accuracy of stock market indicators predictions by using data about psychological states of Twitter users. For analysis of psychological states we used lexicon-based approach.(Dase, R.K. and Pawar, D.D., 2010. Application of Artificial Neural Network for stock market predictions: A review of literature. International Journal of Machine Intelligence, 2(2), pp.14-17.)** We evaluate Intercontinental Exchange Inc. Common Stock prediction models with Inductive Learning (ML) and Multiple Regression ^{1,2,3,4} and conclude that the ICE 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 Sell ICE stock.**

## Key Points

- Operational Risk
- Investment Risk
- Trading Interaction

## ICE Target Price Prediction Modeling Methodology

We consider Intercontinental Exchange Inc. Common Stock Decision Process with Inductive Learning (ML) where A is the set of discrete actions of ICE 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(Inductive Learning (ML)) X S(n):→ (n+3 month) $\begin{array}{l}\int {e}^{x}\mathrm{rx}\end{array}$

n:Time series to forecast

p:Price signals of ICE 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?

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

**Sample Set:**Neural Network

**Stock/Index:**ICE Intercontinental Exchange Inc. Common Stock

**Time series to forecast n: 07 Dec 2022**for (n+3 month)

**According to price forecasts for (n+3 month) period: The dominant strategy among neural network is to Sell ICE 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 Intercontinental Exchange Inc. Common Stock

- An entity that first applies IFRS 17 as amended in June 2020 at the same time it first applies this Standard shall apply paragraphs 7.2.1–7.2.28 instead of paragraphs 7.2.38–7.2.42.
- Annual Improvements to IFRSs 2010–2012 Cycle, issued in December 2013, amended paragraphs 4.2.1 and 5.7.5 as a consequential amendment derived from the amendment to IFRS 3. An entity shall apply that amendment prospectively to business combinations to which the amendment to IFRS 3 applies.
- For example, an entity may use this condition to designate financial liabilities as at fair value through profit or loss if it meets the principle in paragraph 4.2.2(b) and the entity has financial assets and financial liabilities that share one or more risks and those risks are managed and evaluated on a fair value basis in accordance with a documented policy of asset and liability management. An example could be an entity that has issued 'structured products' containing multiple embedded derivatives and manages the resulting risks on a fair value basis using a mix of derivative and non-derivative financial instruments
- 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.

*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

Intercontinental Exchange Inc. Common Stock assigned short-term Caa2 & long-term Caa1 forecasted stock rating.** We evaluate the prediction models Inductive Learning (ML) with Multiple Regression ^{1,2,3,4} and conclude that the ICE 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 Sell ICE stock.**

### Financial State Forecast for ICE Intercontinental Exchange Inc. Common Stock Options & Futures

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

Outlook* | Caa2 | Caa1 |

Operational Risk | 78 | 58 |

Market Risk | 35 | 33 |

Technical Analysis | 30 | 40 |

Fundamental Analysis | 37 | 30 |

Risk Unsystematic | 42 | 31 |

### Prediction Confidence Score

## References

- Bottomley, P. R. Fildes (1998), "The role of prices in models of innovation diffusion," Journal of Forecasting, 17, 539–555.
- Hastie T, Tibshirani R, Friedman J. 2009. The Elements of Statistical Learning. Berlin: Springer
- D. White. Mean, variance, and probabilistic criteria in finite Markov decision processes: A review. Journal of Optimization Theory and Applications, 56(1):1–29, 1988.
- E. Altman, K. Avrachenkov, and R. N ́u ̃nez-Queija. Perturbation analysis for denumerable Markov chains with application to queueing models. Advances in Applied Probability, pages 839–853, 2004
- Hastie T, Tibshirani R, Tibshirani RJ. 2017. Extended comparisons of best subset selection, forward stepwise selection, and the lasso. arXiv:1707.08692 [stat.ME]
- Varian HR. 2014. Big data: new tricks for econometrics. J. Econ. Perspect. 28:3–28
- Imai K, Ratkovic M. 2013. Estimating treatment effect heterogeneity in randomized program evaluation. Ann. Appl. Stat. 7:443–70

## Frequently Asked Questions

Q: What is the prediction methodology for ICE stock?A: ICE stock prediction methodology: We evaluate the prediction models Inductive Learning (ML) and Multiple Regression

Q: Is ICE stock a buy or sell?

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

Q: Is Intercontinental Exchange Inc. Common Stock stock a good investment?

A: The consensus rating for Intercontinental Exchange Inc. Common Stock is Sell and assigned short-term Caa2 & long-term Caa1 forecasted stock rating.

Q: What is the consensus rating of ICE stock?

A: The consensus rating for ICE is Sell.

Q: What is the prediction period for ICE stock?

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