Mfs Prudent Mutual Fund Forecast - Double Exponential Smoothing

FPPUX Fund  USD 12.25  0.00  0.00%   
The Double Exponential Smoothing forecasted value of Mfs Prudent Investor on the next trading day is expected to be 12.25 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. Mfs Mutual Fund Forecast is based on your current time horizon.
  
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Mfs Prudent works best with periods where there are trends or seasonality.

Mfs Prudent Double Exponential Smoothing Price Forecast For the 5th of October

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Mfs Prudent Investor on the next trading day is expected to be 12.25 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.
Please note that although there have been many attempts to predict Mfs 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 Mfs Prudent's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Mfs Prudent Mutual Fund Forecast Pattern

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Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Mfs Prudent mutual fund data series using in forecasting. Note that when a statistical model is used to represent Mfs Prudent 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 CriteriaHuge
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
When Mfs Prudent Investor prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Mfs Prudent Investor trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Mfs Prudent observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Mfs Prudent

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 Prudent Investor. 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 Mfs Prudent'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
12.2512.2512.25
Details
Intrinsic
Valuation
LowRealHigh
12.2512.2512.25
Details
Bollinger
Band Projection (param)
LowMiddleHigh
12.2512.2512.25
Details

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

Mfs Prudent Market Strength Events

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

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 Mfs Mutual Fund

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