Fineco AM Fund Forecast - Simple Regression

0P0001OSMJ   127.21  0.12  0.09%   
The Simple Regression forecasted value of Fineco AM Pasv on the next trading day is expected to be 134.37 with a mean absolute deviation of 2.41 and the sum of the absolute errors of 147.07. Investors can use prediction functions to forecast Fineco AM's fund prices and determine the direction of Fineco AM Pasv's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Fineco AM 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.

Fineco AM Simple Regression Price Forecast For the 17th of March 2025

Given 90 days horizon, the Simple Regression forecasted value of Fineco AM Pasv on the next trading day is expected to be 134.37 with a mean absolute deviation of 2.41, mean absolute percentage error of 8.75, and the sum of the absolute errors of 147.07.
Please note that although there have been many attempts to predict Fineco Fund 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 Fineco AM's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Fineco AM Fund Forecast Pattern

Fineco AM Forecasted Value

In the context of forecasting Fineco AM's Fund 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. Fineco AM's downside and upside margins for the forecasting period are 133.79 and 134.94, respectively. We have considered Fineco AM'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.
Market Value
127.21
133.79
Downside
134.37
Expected Value
134.94
Upside

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 Fineco AM fund data series using in forecasting. Note that when a statistical model is used to represent Fineco AM fund, 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 Criteria120.279
BiasArithmetic mean of the errors None
MADMean absolute deviation2.4109
MAPEMean absolute percentage error0.0178
SAESum of the absolute errors147.0677
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 Fineco AM Pasv 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 Fineco AM

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Fineco AM Pasv. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund 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 Fineco AM

For every potential investor in Fineco, whether a beginner or expert, Fineco AM's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Fineco Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Fineco. Basic forecasting techniques help filter out the noise by identifying Fineco AM's price trends.

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

Fineco AM Pasv Technical and Predictive Analytics

The fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Fineco AM'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 Fineco AM's current price.

Fineco AM Market Strength Events

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

Fineco AM Risk Indicators

The analysis of Fineco AM'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 Fineco AM's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fineco fund 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.
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.

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