Income Fund Mutual Fund Forecast - Simple Exponential Smoothing

FOIPX Fund  USD 9.18  0.04  0.43%   
The Simple Exponential Smoothing forecasted value of Income Fund Institutional on the next trading day is expected to be 9.18 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.32. Income Mutual Fund Forecast is based on your current time horizon.
  
Income Fund 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 Income Fund Institutional are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Income Fund Institutional prices get older.

Income Fund Simple Exponential Smoothing Price Forecast For the 14th of December 2024

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Income Fund Institutional on the next trading day is expected to be 9.18 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0009, and the sum of the absolute errors of 1.32.
Please note that although there have been many attempts to predict Income 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 Income Fund's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Income Fund Mutual Fund Forecast Pattern

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Income Fund Forecasted Value

In the context of forecasting Income Fund'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. Income Fund's downside and upside margins for the forecasting period are 8.87 and 9.49, respectively. We have considered Income Fund'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
9.18
9.18
Expected Value
9.49
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 Income Fund mutual fund data series using in forecasting. Note that when a statistical model is used to represent Income Fund 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 Criteria109.2294
BiasArithmetic mean of the errors 0.004
MADMean absolute deviation0.022
MAPEMean absolute percentage error0.0024
SAESum of the absolute errors1.32
This simple exponential smoothing model begins by setting Income Fund Institutional forecast for the second period equal to the observation of the first period. In other words, recent Income Fund observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Income Fund

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Income Fund Institutional. 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.
Hype
Prediction
LowEstimatedHigh
8.869.189.50
Details
Intrinsic
Valuation
LowRealHigh
8.709.029.34
Details

Other Forecasting Options for Income Fund

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

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

Income Fund Institutional 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 Income Fund'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 Income Fund's current price.

Income Fund Market Strength Events

Market strength indicators help investors to evaluate how Income Fund 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 Income Fund shares will generate the highest return on investment. By undertsting and applying Income Fund mutual fund market strength indicators, traders can identify Income Fund Institutional entry and exit signals to maximize returns.

Income Fund Risk Indicators

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

Income Fund financial ratios help investors to determine whether Income 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 Income with respect to the benefits of owning Income Fund security.
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