Fa529 If Mutual Fund Forecast - Simple Exponential Smoothing

FIPEX Fund  USD 19.11  0.04  0.21%   
The Simple Exponential Smoothing forecasted value of Fa529 If Pt on the next trading day is expected to be 19.11 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.46. Fa529 Mutual Fund Forecast is based on your current time horizon.
  
Fa529 If simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Fa529 If Pt are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Fa529 If Pt prices get older.

Fa529 If Simple Exponential Smoothing Price Forecast For the 23rd of December

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Fa529 If Pt on the next trading day is expected to be 19.11 with a mean absolute deviation of 0.04, mean absolute percentage error of 0, and the sum of the absolute errors of 2.46.
Please note that although there have been many attempts to predict Fa529 Mutual 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 Fa529 If's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Fa529 If Mutual Fund Forecast Pattern

Fa529 If Forecasted Value

In the context of forecasting Fa529 If's Mutual 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. Fa529 If's downside and upside margins for the forecasting period are 18.85 and 19.37, respectively. We have considered Fa529 If'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
19.11
19.11
Expected Value
19.37
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Fa529 If mutual fund data series using in forecasting. Note that when a statistical model is used to represent Fa529 If mutual 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 Criteria110.3873
BiasArithmetic mean of the errors 0.0103
MADMean absolute deviation0.041
MAPEMean absolute percentage error0.0021
SAESum of the absolute errors2.46
This simple exponential smoothing model begins by setting Fa529 If Pt forecast for the second period equal to the observation of the first period. In other words, recent Fa529 If observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Fa529 If

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Fa529 If Pt. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fa529 If's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
18.8519.1119.37
Details
Intrinsic
Valuation
LowRealHigh
18.9319.1919.45
Details

Other Forecasting Options for Fa529 If

For every potential investor in Fa529, whether a beginner or expert, Fa529 If's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Fa529 Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Fa529. Basic forecasting techniques help filter out the noise by identifying Fa529 If's price trends.

Fa529 If 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 Fa529 If mutual fund to make a market-neutral strategy. Peer analysis of Fa529 If could also be used in its relative valuation, which is a method of valuing Fa529 If by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Fa529 If Pt Technical and Predictive Analytics

The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Fa529 If'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 Fa529 If's current price.

Fa529 If Market Strength Events

Market strength indicators help investors to evaluate how Fa529 If mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Fa529 If shares will generate the highest return on investment. By undertsting and applying Fa529 If mutual fund market strength indicators, traders can identify Fa529 If Pt entry and exit signals to maximize returns.

Fa529 If Risk Indicators

The analysis of Fa529 If'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 Fa529 If's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fa529 mutual 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 Fa529 Mutual Fund

Fa529 If financial ratios help investors to determine whether Fa529 Mutual 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 Fa529 with respect to the benefits of owning Fa529 If security.
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