Mfs Intermediate Fund Forecast - Simple Exponential Smoothing

CIF Fund  USD 1.78  0.01  0.56%   
The Simple Exponential Smoothing forecasted value of Mfs Intermediate High on the next trading day is expected to be 1.78 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.39. Mfs Fund Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Mfs Intermediate's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Mfs Intermediate 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 Mfs Intermediate High are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Mfs Intermediate High prices get older.

Mfs Intermediate Simple Exponential Smoothing Price Forecast For the 13th of December 2024

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Mfs Intermediate High on the next trading day is expected to be 1.78 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.000077, and the sum of the absolute errors of 0.39.
Please note that although there have been many attempts to predict Mfs 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 Mfs Intermediate's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Mfs Intermediate Fund Forecast Pattern

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Mfs Intermediate Forecasted Value

In the context of forecasting Mfs Intermediate'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. Mfs Intermediate's downside and upside margins for the forecasting period are 1.27 and 2.29, respectively. We have considered Mfs Intermediate'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
1.78
1.78
Expected Value
2.29
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 Mfs Intermediate fund data series using in forecasting. Note that when a statistical model is used to represent Mfs Intermediate 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 Criteria108.6394
BiasArithmetic mean of the errors -8.0E-4
MADMean absolute deviation0.0064
MAPEMean absolute percentage error0.0037
SAESum of the absolute errors0.39
This simple exponential smoothing model begins by setting Mfs Intermediate High forecast for the second period equal to the observation of the first period. In other words, recent Mfs Intermediate observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Mfs Intermediate

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Mfs Intermediate High. 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
1.271.782.29
Details
Intrinsic
Valuation
LowRealHigh
1.261.772.28
Details

Other Forecasting Options for Mfs Intermediate

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

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

Mfs Intermediate High 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 Mfs Intermediate'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 Mfs Intermediate's current price.

Mfs Intermediate Market Strength Events

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

Mfs Intermediate Risk Indicators

The analysis of Mfs Intermediate'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 Mfs Intermediate's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting mfs 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.

Currently Active Assets on Macroaxis

Other Information on Investing in Mfs Fund

Mfs Intermediate financial ratios help investors to determine whether Mfs 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 Mfs with respect to the benefits of owning Mfs Intermediate security.
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