CAE Stock Forecast - 4 Period Moving Average
| CAE Stock | CAD 32.60 0.11 0.34% |
The 4 Period Moving Average forecasted value of CAE Inc on the next trading day is expected to be 32.58 with a mean absolute deviation of 0.60 and the sum of the absolute errors of 34.13. CAE Stock Forecast is based on your current time horizon. Although CAE's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of CAE's systematic risk associated with finding meaningful patterns of CAE fundamentals over time.
CAE |
CAE 4 Period Moving Average Price Forecast For the 29th of November
Given 90 days horizon, the 4 Period Moving Average forecasted value of CAE Inc on the next trading day is expected to be 32.58 with a mean absolute deviation of 0.60, mean absolute percentage error of 0.81, and the sum of the absolute errors of 34.13.Please note that although there have been many attempts to predict CAE Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that CAE's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
CAE Stock Forecast Pattern
| Backtest CAE | CAE Price Prediction | Buy or Sell Advice |
CAE Forecasted Value
In the context of forecasting CAE's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. CAE's downside and upside margins for the forecasting period are 30.46 and 34.71, respectively. We have considered CAE's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of CAE stock data series using in forecasting. Note that when a statistical model is used to represent CAE stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 110.5528 |
| Bias | Arithmetic mean of the errors | -0.3682 |
| MAD | Mean absolute deviation | 0.5987 |
| MAPE | Mean absolute percentage error | 0.0217 |
| SAE | Sum of the absolute errors | 34.1275 |
Predictive Modules for CAE
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CAE Inc. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Other Forecasting Options for CAE
For every potential investor in CAE, whether a beginner or expert, CAE's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. CAE Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in CAE. Basic forecasting techniques help filter out the noise by identifying CAE's price trends.CAE Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with CAE stock to make a market-neutral strategy. Peer analysis of CAE could also be used in its relative valuation, which is a method of valuing CAE by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
CAE Inc Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of CAE's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of CAE's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
CAE Market Strength Events
Market strength indicators help investors to evaluate how CAE stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading CAE shares will generate the highest return on investment. By undertsting and applying CAE stock market strength indicators, traders can identify CAE Inc entry and exit signals to maximize returns.
| Accumulation Distribution | 3593.39 | |||
| Daily Balance Of Power | (0.22) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 32.83 | |||
| Day Typical Price | 32.75 | |||
| Price Action Indicator | (0.28) | |||
| Period Momentum Indicator | (0.11) |
CAE Risk Indicators
The analysis of CAE's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in CAE's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cae stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 1.31 | |||
| Semi Deviation | 1.26 | |||
| Standard Deviation | 2.1 | |||
| Variance | 4.4 | |||
| Downside Variance | 3.25 | |||
| Semi Variance | 1.58 | |||
| Expected Short fall | (1.44) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
When determining whether CAE Inc is a strong investment it is important to analyze CAE's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact CAE's future performance. For an informed investment choice regarding CAE Stock, refer to the following important reports: Check out Historical Fundamental Analysis of CAE to cross-verify your projections. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.