Eaton Vance Fund Forecast - 8 Period Moving Average

ETG Fund  USD 18.96  0.02  0.11%   
The 8 Period Moving Average forecasted value of Eaton Vance Tax on the next trading day is expected to be 18.92 with a mean absolute deviation of 0.19 and the sum of the absolute errors of 10.00. Eaton Fund Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Eaton Vance's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
An 8-period moving average forecast model for Eaton Vance is based on an artificially constructed time series of Eaton Vance daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Eaton Vance 8 Period Moving Average Price Forecast For the 24th of November

Given 90 days horizon, the 8 Period Moving Average forecasted value of Eaton Vance Tax on the next trading day is expected to be 18.92 with a mean absolute deviation of 0.19, mean absolute percentage error of 0.05, and the sum of the absolute errors of 10.00.
Please note that although there have been many attempts to predict Eaton 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 Eaton Vance's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Eaton Vance Fund Forecast Pattern

Backtest Eaton VanceEaton Vance Price PredictionBuy or Sell Advice 

Eaton Vance Forecasted Value

In the context of forecasting Eaton Vance'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. Eaton Vance's downside and upside margins for the forecasting period are 18.14 and 19.71, respectively. We have considered Eaton Vance'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
18.96
18.92
Expected Value
19.71
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Eaton Vance fund data series using in forecasting. Note that when a statistical model is used to represent Eaton Vance 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 Criteria102.3424
BiasArithmetic mean of the errors -0.0651
MADMean absolute deviation0.1852
MAPEMean absolute percentage error0.0098
SAESum of the absolute errors10.0013
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Eaton Vance Tax 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Eaton Vance

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Eaton Vance Tax. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Eaton Vance'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
18.1618.9519.74
Details
Intrinsic
Valuation
LowRealHigh
18.0918.8819.67
Details
Bollinger
Band Projection (param)
LowMiddleHigh
18.5818.9719.36
Details

Other Forecasting Options for Eaton Vance

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

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

Eaton Vance Tax 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 Eaton Vance'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 Eaton Vance's current price.

Eaton Vance Market Strength Events

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

Eaton Vance Risk Indicators

The analysis of Eaton Vance'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 Eaton Vance's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting eaton 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 Eaton Fund

Eaton Vance financial ratios help investors to determine whether Eaton 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 Eaton with respect to the benefits of owning Eaton Vance security.
Competition Analyzer
Analyze and compare many basic indicators for a group of related or unrelated entities
AI Portfolio Architect
Use AI to generate optimal portfolios and find profitable investment opportunities
ETF Categories
List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments