Franklin Universal Etf Forecast - Simple Exponential Smoothing

FT Etf  USD 7.53  0.07  0.92%   
The Simple Exponential Smoothing forecasted value of Franklin Universal Closed on the next trading day is expected to be 7.53 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.30. Franklin Etf Forecast is based on your current time horizon.
  
Franklin Universal simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Franklin Universal Closed are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Franklin Universal Closed prices get older.

Franklin Universal Simple Exponential Smoothing Price Forecast For the 14th of December 2024

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Franklin Universal Closed on the next trading day is expected to be 7.53 with a mean absolute deviation of 0.04, mean absolute percentage error of 0, and the sum of the absolute errors of 2.30.
Please note that although there have been many attempts to predict Franklin Etf 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 Franklin Universal's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Franklin Universal Etf Forecast Pattern

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Franklin Universal Forecasted Value

In the context of forecasting Franklin Universal's Etf 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. Franklin Universal's downside and upside margins for the forecasting period are 6.89 and 8.17, respectively. We have considered Franklin Universal'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
7.53
7.53
Expected Value
8.17
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Franklin Universal etf data series using in forecasting. Note that when a statistical model is used to represent Franklin Universal etf, 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 Criteria112.0235
BiasArithmetic mean of the errors -0.0023
MADMean absolute deviation0.0377
MAPEMean absolute percentage error0.005
SAESum of the absolute errors2.3
This simple exponential smoothing model begins by setting Franklin Universal Closed forecast for the second period equal to the observation of the first period. In other words, recent Franklin Universal observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Franklin Universal

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Franklin Universal Closed. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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 Franklin Universal'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
6.897.538.17
Details
Intrinsic
Valuation
LowRealHigh
6.907.548.18
Details

Other Forecasting Options for Franklin Universal

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

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 Risk & Return  Correlation

Franklin Universal Closed Technical and Predictive Analytics

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

Franklin Universal Market Strength Events

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

Franklin Universal Risk Indicators

The analysis of Franklin Universal'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 Franklin Universal's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting franklin etf 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.

Thematic Opportunities

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Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Other Information on Investing in Franklin Etf

Franklin Universal financial ratios help investors to determine whether Franklin Etf 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 Franklin with respect to the benefits of owning Franklin Universal security.