TOUCHSTONE PREMIUM Mutual Fund Forward View - Double Exponential Smoothing

TPYYX Fund  USD 7.63  0.09  1.19%   
This reference page presents Double Exponential Smoothing forecast data for Touchstone Premium Yield. The projected values and error metrics are presented below as reference information.
The Double Exponential Smoothing forecasted value of Touchstone Premium Yield on the next trading day is expected to be 7.60 with a mean absolute deviation of 0.09 and the sum of the absolute errors of 5.27.When Touchstone Premium Yield 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 Touchstone Premium Yield 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 TOUCHSTONE PREMIUM observations are given relatively more weight in forecasting than the older observations. This Double Exponential Smoothing forecast data for Touchstone Premium Yield is sourced from the most recent available trading data and is intended solely as reference information.
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 TOUCHSTONE PREMIUM works best with periods where there are trends or seasonality.

Double Exponential Smoothing Price Forecast For the 27th of March

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Touchstone Premium Yield on the next trading day is expected to be 7.60 with a mean absolute deviation of 0.09 , mean absolute percentage error of 0.01 , and the sum of the absolute errors of 5.27 .
Please note that although there have been many attempts to predict TOUCHSTONE Mutual Fund prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that TOUCHSTONE PREMIUM's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Mutual Fund Forecast Pattern

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Forecasted Value

For the next trading day, Macroaxis evaluates TOUCHSTONE PREMIUM's predictive range by looking for statistically meaningful downside and upside boundaries. At the moment, the model places downside around 6.31 and upside around 8.89 for the forecasting period.
Market Value
7.63
7.60
Expected Value
8.89
Upside

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 TOUCHSTONE PREMIUM mutual fund data series using in forecasting. Note that when a statistical model is used to represent TOUCHSTONE PREMIUM 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 -0.0125
MADMean absolute deviation0.0878
MAPEMean absolute percentage error0.0107
SAESum of the absolute errors5.27
When Touchstone Premium Yield 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 Touchstone Premium Yield 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 TOUCHSTONE PREMIUM observations are given relatively more weight in forecasting than the older observations.

Other Forecasting Options for TOUCHSTONE PREMIUM

TOUCHSTONE PREMIUM's daily price returns can be decomposed into trend, seasonal, and residual components. Divergence between short-term and long-term averages in TOUCHSTONE often signals an upcoming reversal or acceleration.

TOUCHSTONE PREMIUM Related Equities

Sizing up TOUCHSTONE PREMIUM against these stocks within the Foreign Large Growth space shows how it compares on key financial measures. Return on equity across these peers shows how well each firm turns capital into profit. When TOUCHSTONE PREMIUM breaks from its peer group on a key metric, it often signals a firm-level change worth exploring.
 Risk & Return  Correlation

TOUCHSTONE PREMIUM Market Strength Events

Market strength indicators help investors evaluate how TOUCHSTONE PREMIUM mutual fund reacts to evolving market conditions. These indicators help determine optimal entry and exit points for trading Touchstone Premium Yield.

TOUCHSTONE PREMIUM Risk Indicators

The analysis of TOUCHSTONE PREMIUM's basic risk indicators is one of the essential steps in accurately forecasting its future price. Understanding the risk involved in holding TOUCHSTONE PREMIUM's allows investors to make informed decisions about their exposure.
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.

Story Coverage note for TOUCHSTONE PREMIUM

A coverage review of Touchstone Premium Yield shows when the security is attracting above-average attention from contributors and market observers. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.

Other Macroaxis Stories

Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.