Mfs Prudent Mutual Fund Forecast - Polynomial Regression

FPPJX Fund  USD 11.67  0.04  0.34%   
The Polynomial Regression forecasted value of Mfs Prudent Investor on the next trading day is expected to be 11.74 with a mean absolute deviation of  0.04  and the sum of the absolute errors of 2.29. Mfs Mutual Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Mfs Prudent stock prices and determine the direction of Mfs Prudent Investor's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Mfs Prudent's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Mfs Prudent to cross-verify your projections.
  
Most investors in Mfs Prudent cannot accurately predict what will happen the next trading day because, historically, fund markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Mfs Prudent's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Mfs Prudent's price structures and extracts relationships that further increase the generated results' accuracy.
Mfs Prudent polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Mfs Prudent Investor as well as the accuracy indicators are determined from the period prices.

Mfs Prudent Polynomial Regression Price Forecast For the 29th of March

Given 90 days horizon, the Polynomial Regression forecasted value of Mfs Prudent Investor on the next trading day is expected to be 11.74 with a mean absolute deviation of 0.04, mean absolute percentage error of 0, and the sum of the absolute errors of 2.29.
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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Mfs Prudent Forecasted Value

In the context of forecasting Mfs Prudent'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. Mfs Prudent's downside and upside margins for the forecasting period are 11.34 and 12.13, respectively. We have considered Mfs Prudent'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
11.67
11.74
Expected Value
12.13
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression 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 Criteria113.8382
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0369
MAPEMean absolute percentage error0.0032
SAESum of the absolute errors2.2882
A single variable polynomial regression model attempts to put a curve through the Mfs Prudent historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

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
11.2711.6612.05
Details
Intrinsic
Valuation
LowRealHigh
11.1111.5011.89
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Mfs Prudent. Your research has to be compared to or analyzed against Mfs Prudent's peers to derive any actionable benefits. When done correctly, Mfs Prudent's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Mfs Prudent Investor.

Other Forecasting Options for Mfs Prudent

For every potential investor in Mfs, whether a beginner or expert, Mfs Prudent's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Mfs Mutual 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 Prudent's price trends.

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 Investor 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 Mfs Prudent'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 Prudent's current price.

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.

Mfs Prudent Risk Indicators

The analysis of Mfs Prudent'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 Prudent's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting mfs 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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Mfs Prudent in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Mfs Prudent's short interest history, or implied volatility extrapolated from Mfs Prudent options trading.

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Check out Historical Fundamental Analysis of Mfs Prudent to cross-verify your projections.
You can also try the Share Portfolio module to track or share privately all of your investments from the convenience of any device.

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When running Mfs Prudent's price analysis, check to measure Mfs Prudent's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Mfs Prudent is operating at the current time. Most of Mfs Prudent's value examination focuses on studying past and present price action to predict the probability of Mfs Prudent's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Mfs Prudent's price. Additionally, you may evaluate how the addition of Mfs Prudent to your portfolios can decrease your overall portfolio volatility.
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Please note, there is a significant difference between Mfs Prudent's value and its price as these two are different measures arrived at by different means. Investors typically determine if Mfs Prudent is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Mfs Prudent's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.