FF South Fund Forecast - Simple Regression

IPGS Fund  EUR 33.61  0.37  1.11%   
The Simple Regression forecasted value of FF South on the next trading day is expected to be 34.88 with a mean absolute deviation of 1.01 and the sum of the absolute errors of 61.59. IPGS Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast FF South stock prices and determine the direction of FF South's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of FF South's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through FF South 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.

FF South Simple Regression Price Forecast For the 25th of November

Given 90 days horizon, the Simple Regression forecasted value of FF South on the next trading day is expected to be 34.88 with a mean absolute deviation of 1.01, mean absolute percentage error of 1.42, and the sum of the absolute errors of 61.59.
Please note that although there have been many attempts to predict IPGS 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 FF South's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

FF South Fund Forecast Pattern

FF South Forecasted Value

In the context of forecasting FF South'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. FF South's downside and upside margins for the forecasting period are 33.60 and 36.16, respectively. We have considered FF South'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
33.61
34.88
Expected Value
36.16
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 FF South fund data series using in forecasting. Note that when a statistical model is used to represent FF South 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 Criteria118.4637
BiasArithmetic mean of the errors None
MADMean absolute deviation1.0097
MAPEMean absolute percentage error0.0306
SAESum of the absolute errors61.5944
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 FF South 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 FF South

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as FF South. 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.
Hype
Prediction
LowEstimatedHigh
32.3333.6134.89
Details
Intrinsic
Valuation
LowRealHigh
32.1133.3934.67
Details
Bollinger
Band Projection (param)
LowMiddleHigh
33.1433.4933.84
Details

Other Forecasting Options for FF South

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

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

FF South 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 FF South'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 FF South's current price.

FF South Market Strength Events

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

FF South Risk Indicators

The analysis of FF South'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 FF South's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ipgs 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Other Information on Investing in IPGS Fund

FF South financial ratios help investors to determine whether IPGS Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in IPGS with respect to the benefits of owning FF South security.
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