## Abstract

**We evaluate Take-Two Interactive prediction models with Inductive Learning (ML) and Logistic Regression ^{1,2,3,4} and conclude that the TTWO 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 TTWO stock.**

**TTWO, Take-Two Interactive, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.**

*Keywords:*## Key Points

- How do predictive algorithms actually work?
- What are the most successful trading algorithms?
- What are buy sell or hold recommendations?

## TTWO Target Price Prediction Modeling Methodology

We consider Take-Two Interactive Stock Decision Process with Logistic Regression where A is the set of discrete actions of TTWO 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(Inductive Learning (ML)) X S(n):→ (n+1 year) $R=\left(\begin{array}{ccc}1& 0& 0\\ 0& 1& 0\\ 0& 0& 1\end{array}\right)$

n:Time series to forecast

p:Price signals of TTWO 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?

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

**Sample Set:**Neural Network

**Stock/Index:**TTWO Take-Two Interactive

**Time series to forecast n: 05 Sep 2022**for (n+1 year)

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

Take-Two Interactive assigned short-term B1 & long-term Baa2 forecasted stock rating.** We evaluate the prediction models Inductive Learning (ML) with Logistic Regression ^{1,2,3,4} and conclude that the TTWO 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 TTWO stock.**

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

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

Outlook* | B1 | Baa2 |

Operational Risk | 65 | 80 |

Market Risk | 52 | 70 |

Technical Analysis | 50 | 88 |

Fundamental Analysis | 59 | 90 |

Risk Unsystematic | 74 | 87 |

### Prediction Confidence Score

## References

- Chernozhukov V, Escanciano JC, Ichimura H, Newey WK. 2016b. Locally robust semiparametric estimation. arXiv:1608.00033 [math.ST]
- Banerjee, A., J. J. Dolado, J. W. Galbraith, D. F. Hendry (1993), Co-integration, Error-correction, and the Econometric Analysis of Non-stationary Data. Oxford: Oxford University Press.
- Banerjee, A., J. J. Dolado, J. W. Galbraith, D. F. Hendry (1993), Co-integration, Error-correction, and the Econometric Analysis of Non-stationary Data. Oxford: Oxford University Press.
- S. Bhatnagar, R. Sutton, M. Ghavamzadeh, and M. Lee. Natural actor-critic algorithms. Automatica, 45(11): 2471–2482, 2009
- Byron, R. P. O. Ashenfelter (1995), "Predicting the quality of an unborn grange," Economic Record, 71, 40–53.
- Chernozhukov V, Newey W, Robins J. 2018c. Double/de-biased machine learning using regularized Riesz representers. arXiv:1802.08667 [stat.ML]
- Robins J, Rotnitzky A. 1995. Semiparametric efficiency in multivariate regression models with missing data. J. Am. Stat. Assoc. 90:122–29

## Frequently Asked Questions

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

Q: Is TTWO stock a buy or sell?

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

Q: Is Take-Two Interactive stock a good investment?

A: The consensus rating for Take-Two Interactive is Sell and assigned short-term B1 & long-term Baa2 forecasted stock rating.

Q: What is the consensus rating of TTWO stock?

A: The consensus rating for TTWO is Sell.

Q: What is the prediction period for TTWO stock?

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

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