ALLEGROEU Stock Forecast - Simple Regression

AL0 Stock  EUR 6.53  0.13  2.03%   
The Simple Regression forecasted value of ALLEGROEU ZY 01 on the next trading day is expected to be 6.54 with a mean absolute deviation of 0.29 and the sum of the absolute errors of 17.87. ALLEGROEU Stock Forecast is based on your current time horizon.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through ALLEGROEU price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

ALLEGROEU Simple Regression Price Forecast For the 12th of December 2024

Given 90 days horizon, the Simple Regression forecasted value of ALLEGROEU ZY 01 on the next trading day is expected to be 6.54 with a mean absolute deviation of 0.29, mean absolute percentage error of 0.12, and the sum of the absolute errors of 17.87.
Please note that although there have been many attempts to predict ALLEGROEU 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 ALLEGROEU's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

ALLEGROEU Stock Forecast Pattern

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of ALLEGROEU stock data series using in forecasting. Note that when a statistical model is used to represent ALLEGROEU 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.
AICAkaike Information Criteria115.9854
BiasArithmetic mean of the errors None
MADMean absolute deviation0.293
MAPEMean absolute percentage error0.0399
SAESum of the absolute errors17.8702
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as ALLEGROEU ZY 01 historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for ALLEGROEU

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ALLEGROEU ZY 01. 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.
Hype
Prediction
LowEstimatedHigh
6.536.536.53
Details
Intrinsic
Valuation
LowRealHigh
5.886.986.98
Details

ALLEGROEU 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 ALLEGROEU stock to make a market-neutral strategy. Peer analysis of ALLEGROEU could also be used in its relative valuation, which is a method of valuing ALLEGROEU by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

ALLEGROEU Market Strength Events

Market strength indicators help investors to evaluate how ALLEGROEU stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading ALLEGROEU shares will generate the highest return on investment. By undertsting and applying ALLEGROEU stock market strength indicators, traders can identify ALLEGROEU ZY 01 entry and exit signals to maximize returns.

Thematic Opportunities

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Additional Tools for ALLEGROEU Stock Analysis

When running ALLEGROEU's price analysis, check to measure ALLEGROEU's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy ALLEGROEU is operating at the current time. Most of ALLEGROEU's value examination focuses on studying past and present price action to predict the probability of ALLEGROEU's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ALLEGROEU's price. Additionally, you may evaluate how the addition of ALLEGROEU to your portfolios can decrease your overall portfolio volatility.