Mapfre SA Pink Sheet Forecast - Simple Regression

MPFRFDelisted Stock  USD 3.60  0.00  0.00%   
The Simple Regression forecasted value of Mapfre SA on the next trading day is expected to be 3.60 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. Mapfre Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Mapfre SA's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 14th of January 2026 the relative strength index (rsi) of Mapfre SA's share price is below 20 . This indicates that the pink sheet is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of Mapfre SA's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Mapfre SA and does not consider all of the tangible or intangible factors available from Mapfre SA's fundamental data. We analyze noise-free headlines and recent hype associated with Mapfre SA, which may create opportunities for some arbitrage if properly timed.
Using Mapfre SA hype-based prediction, you can estimate the value of Mapfre SA from the perspective of Mapfre SA response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Mapfre SA on the next trading day is expected to be 3.60 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.

Mapfre SA after-hype prediction price

    
  USD 3.6  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in persons.

Mapfre SA Additional Predictive Modules

Most predictive techniques to examine Mapfre price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Mapfre using various technical indicators. When you analyze Mapfre charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Simple Regression model is a single variable regression model that attempts to put a straight line through Mapfre SA 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.

Mapfre SA Simple Regression Price Forecast For the 15th of January 2026

Given 90 days horizon, the Simple Regression forecasted value of Mapfre SA on the next trading day is expected to be 3.60 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.
Please note that although there have been many attempts to predict Mapfre Pink Sheet 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 Mapfre SA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Mapfre SA Pink Sheet Forecast Pattern

Backtest Mapfre SAMapfre SA Price PredictionBuy or Sell Advice 

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 Mapfre SA pink sheet data series using in forecasting. Note that when a statistical model is used to represent Mapfre SA pink sheet, 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 Criteria52.7927
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
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 Mapfre SA 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 Mapfre SA

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Mapfre SA. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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
3.603.603.60
Details
Intrinsic
Valuation
LowRealHigh
3.063.063.96
Details

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

Mapfre SA Market Strength Events

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

Currently Active Assets on Macroaxis

Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in persons.
You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.

Other Consideration for investing in Mapfre Pink Sheet

If you are still planning to invest in Mapfre SA check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Mapfre SA's history and understand the potential risks before investing.
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