Fuller Thaler Mutual Fund Forecast - Double Exponential Smoothing

Fuller Thaler Additional Predictive Modules

Most predictive techniques to examine Fuller price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Fuller using various technical indicators. When you analyze Fuller charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur. 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 Fuller Thaler works best with periods where there are trends or seasonality.

Fuller Thaler Double Exponential Smoothing Price Forecast For the 23rd of January

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Fuller Thaler Behavioral on the next trading day is expected to be 52.48 with a mean absolute deviation of 0.34, mean absolute percentage error of 0.19, and the sum of the absolute errors of 20.28.

Fuller Thaler 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 Fuller Thaler mutual fund data series using in forecasting. Note that when a statistical model is used to represent Fuller Thaler 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. When Fuller Thaler Behavioral 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 Fuller Thaler Behavioral 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 Fuller Thaler observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Fuller Thaler

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Fuller Thaler Behavioral. 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 Low Estimated High 0.00 0.00 0.87 Details

Intrinsic Valuation Low Real High 0.31 6.19 7.06 Details

Bollinger Band Projection (param) Low Middle High 49.23 50.83 52.43 Details

Please note, it is not enough to conduct a financial or market analysis of a single entity such as Fuller Thaler. Your research has to be compared to or analyzed against Fuller Thaler's peers to derive any actionable benefits. When done correctly, Fuller Thaler'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 Fuller Thaler Behavioral.

Fuller Thaler After-Hype Price Prediction Density Analysis

Fuller Thaler Estimiated After-Hype Price Volatility

Fuller Thaler Mutual Fund Price Prediction Analysis

Fuller Thaler Hype Timeline

Fuller Thaler Behavioral is currently traded for 52.35. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Fuller is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at 0.1%. %. The volatility of related hype on Fuller Thaler is about 17400.0%, with the expected price after the next announcement by competition of 52.35. The company has price-to-book (P/B) ratio of 1.97. Some equities with similar Price to Book (P/B) outperform the market in the long run. Fuller Thaler Behavioral last dividend was issued on the 31st of December 1970. Assuming the 90 days horizon the next forecasted press release will be in a few days. Check out Historical Fundamental Analysis of Fuller Thaler to cross-verify your projections.

Fuller Thaler Related Hype Analysis

Other Forecasting Options for Fuller Thaler

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

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