Total Return Mutual Fund Forecast - Triple Exponential Smoothing

MBFAX Fund  USD 11.16  0.02  0.18%   
The Triple Exponential Smoothing forecasted value of Total Return Bond on the next trading day is expected to be 11.15 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.86. Total Mutual Fund Forecast is based on your current time horizon.
  
Triple exponential smoothing for Total Return - 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 Total Return 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 Total Return price movement. However, neither of these exponential smoothing models address any seasonality of Total Return Bond.

Total Return Triple Exponential Smoothing Price Forecast For the 30th of December

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Total Return Bond on the next trading day is expected to be 11.15 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 1.86.
Please note that although there have been many attempts to predict Total 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 Total Return's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Total Return Mutual Fund Forecast Pattern

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Total Return Forecasted Value

In the context of forecasting Total Return'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. Total Return's downside and upside margins for the forecasting period are 10.83 and 11.47, respectively. We have considered Total Return'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
11.16
11.15
Expected Value
11.47
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 Total Return mutual fund data series using in forecasting. Note that when a statistical model is used to represent Total Return 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 -0.0046
MADMean absolute deviation0.0315
MAPEMean absolute percentage error0.0028
SAESum of the absolute errors1.8602
As with simple exponential smoothing, in triple exponential smoothing models past Total Return 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 Total Return Bond observations.

Predictive Modules for Total Return

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Total Return Bond. 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
10.8411.1611.48
Details
Intrinsic
Valuation
LowRealHigh
10.8911.2111.53
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Total Return. Your research has to be compared to or analyzed against Total Return's peers to derive any actionable benefits. When done correctly, Total Return'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 Total Return Bond.

Other Forecasting Options for Total Return

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

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

Total Return Bond 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 Total Return'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 Total Return's current price.

Total Return Market Strength Events

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

Total Return Risk Indicators

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

Total Return financial ratios help investors to determine whether Total 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 Total with respect to the benefits of owning Total Return security.
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