Abstract
We evaluate Ventas prediction models with Royer Oscillators and Logistic Regression1,2,3,4 and conclude that the VTR stock is predictable in the short/long term. According to price forecasts for (n+16 weeks) period: The dominant strategy among neural network is to Hold VTR stock.
Keywords: VTR, Ventas, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.
Key Points
- How accurate is machine learning in stock market?
- Market Risk
- How useful are statistical predictions?

VTR Target Price Prediction Modeling Methodology
We consider Ventas Stock Decision Process with Logistic Regression where A is the set of discrete actions of VTR 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= X R(Royer Oscillators) X S(n):→ (n+16 weeks)
n:Time series to forecast
p:Price signals of VTR 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?
VTR Stock Forecast (Buy or Sell) for (n+16 weeks)
Sample Set: Neural NetworkStock/Index: VTR Ventas
Time series to forecast n: 31 Aug 2022 for (n+16 weeks)
According to price forecasts for (n+16 weeks) period: The dominant strategy among neural network is to Hold VTR 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
Ventas assigned short-term Caa2 & long-term B3 forecasted stock rating. We evaluate the prediction models Royer Oscillators with Logistic Regression1,2,3,4 and conclude that the VTR stock is predictable in the short/long term. According to price forecasts for (n+16 weeks) period: The dominant strategy among neural network is to Hold VTR stock.
Financial State Forecast for VTR Stock Options & Futures
Rating | Short-Term | Long-Term Senior |
---|---|---|
Outlook* | Caa2 | B3 |
Operational Risk | 61 | 35 |
Market Risk | 44 | 43 |
Technical Analysis | 42 | 44 |
Fundamental Analysis | 37 | 59 |
Risk Unsystematic | 34 | 56 |
Prediction Confidence Score
References
- Jacobs B, Donkers B, Fok D. 2014. Product Recommendations Based on Latent Purchase Motivations. Rotterdam, Neth.: ERIM
- Athey S, Blei D, Donnelly R, Ruiz F. 2017b. Counterfactual inference for consumer choice across many prod- uct categories. AEA Pap. Proc. 108:64–67
- Mnih A, Teh YW. 2012. A fast and simple algorithm for training neural probabilistic language models. In Proceedings of the 29th International Conference on Machine Learning, pp. 419–26. La Jolla, CA: Int. Mach. Learn. Soc.
- Clements, M. P. D. F. Hendry (1995), "Forecasting in cointegrated systems," Journal of Applied Econometrics, 10, 127–146.
- R. Williams. Simple statistical gradient-following algorithms for connectionist reinforcement learning. Ma- chine learning, 8(3-4):229–256, 1992
- Zou H, Hastie T. 2005. Regularization and variable selection via the elastic net. J. R. Stat. Soc. B 67:301–20
- Imbens G, Wooldridge J. 2009. Recent developments in the econometrics of program evaluation. J. Econ. Lit. 47:5–86
Frequently Asked Questions
Q: What is the prediction methodology for VTR stock?A: VTR stock prediction methodology: We evaluate the prediction models Royer Oscillators and Logistic Regression
Q: Is VTR stock a buy or sell?
A: The dominant strategy among neural network is to Hold VTR Stock.
Q: Is Ventas stock a good investment?
A: The consensus rating for Ventas is Hold and assigned short-term Caa2 & long-term B3 forecasted stock rating.
Q: What is the consensus rating of VTR stock?
A: The consensus rating for VTR is Hold.
Q: What is the prediction period for VTR stock?
A: The prediction period for VTR is (n+16 weeks)