MFS High Stock Forecast - Triple Exponential Smoothing

CXE Stock  USD 3.80  0.01  0.26%   
The Triple Exponential Smoothing forecasted value of MFS High Income on the next trading day is expected to be 3.80 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.24. MFS Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast MFS High stock prices and determine the direction of MFS High Income's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of MFS High's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
As of November 22, 2024, Payables Turnover is expected to decline to 0.60. In addition to that, Receivables Turnover is expected to decline to 1.60. As of November 22, 2024, Common Stock Shares Outstanding is expected to decline to about 24.8 M. The current year's Net Loss is expected to grow to about (29.3 M).
Triple exponential smoothing for MFS High - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When MFS High 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 trend in MFS High price movement. However, neither of these exponential smoothing models address any seasonality of MFS High Income.

MFS High Triple Exponential Smoothing Price Forecast For the 23rd of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of MFS High Income on the next trading day is expected to be 3.80 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0007, and the sum of the absolute errors of 1.24.
Please note that although there have been many attempts to predict MFS Stock 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 High's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

MFS High Stock Forecast Pattern

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MFS High Forecasted Value

In the context of forecasting MFS High's Stock 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 High's downside and upside margins for the forecasting period are 3.13 and 4.47, respectively. We have considered MFS High'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
3.80
3.80
Expected Value
4.47
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of MFS High stock data series using in forecasting. Note that when a statistical model is used to represent MFS High stock, 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 0.0045
MADMean absolute deviation0.021
MAPEMean absolute percentage error0.0054
SAESum of the absolute errors1.2406
As with simple exponential smoothing, in triple exponential smoothing models past MFS High observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older MFS High Income observations.

Predictive Modules for MFS High

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 High Income. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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 High'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
3.123.794.46
Details
Intrinsic
Valuation
LowRealHigh
3.163.834.50
Details

Other Forecasting Options for MFS High

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

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

MFS High Income Technical and Predictive Analytics

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

MFS High Market Strength Events

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

MFS High Risk Indicators

The analysis of MFS High'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 High's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting mfs stock 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.
When determining whether MFS High Income is a strong investment it is important to analyze MFS High's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact MFS High's future performance. For an informed investment choice regarding MFS Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of MFS High to cross-verify your projections.
You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
Is Asset Management & Custody Banks space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of MFS High. If investors know MFS will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about MFS High listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
1.694
Dividend Share
0.161
Earnings Share
0.18
Revenue Per Share
0.32
Quarterly Revenue Growth
(0.03)
The market value of MFS High Income is measured differently than its book value, which is the value of MFS that is recorded on the company's balance sheet. Investors also form their own opinion of MFS High's value that differs from its market value or its book value, called intrinsic value, which is MFS High's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because MFS High's market value can be influenced by many factors that don't directly affect MFS High's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between MFS High's value and its price as these two are different measures arrived at by different means. Investors typically determine if MFS High is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, MFS High'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.