Global X Etf Forward View - Triple Exponential Smoothing

HMP Etf  CAD 9.69  0.03  0.31%   
Global X Active's Triple Exponential Smoothing reference page covers the model's projected value and error measures from recent price data. The forecast output and associated deviation metrics are shown for informational use.
The Triple Exponential Smoothing forecasted value of Global X Active on the next trading day is expected to be 9.67 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.89.As with simple exponential smoothing, in triple exponential smoothing models past Global X 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 Global X Active observations. All Triple Exponential Smoothing forecast figures shown for Global X Active are reference data reflecting model output based on available historical prices.
Triple exponential smoothing for Global X - 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 Global X 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 Global X price movement. However, neither of these exponential smoothing models address any seasonality of Global X Active.

Triple Exponential Smoothing Price Forecast For the 25th of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Global X Active on the next trading day is expected to be 9.67 with a mean absolute deviation of 0.01 , mean absolute percentage error of 0.0003 , and the sum of the absolute errors of 0.89 .
Please note that although there have been many attempts to predict Global Etf 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 Global X's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Etf Forecast Pattern

Backtest Global X  Global X Price Prediction  Research Analysis  

Forecasted Value

Forecasting Global X Active for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Market Value
9.69
9.67
Expected Value
9.86
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 Global X etf data series using in forecasting. Note that when a statistical model is used to represent Global X 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 CriteriaHuge
BiasArithmetic mean of the errors -6.0E-4
MADMean absolute deviation0.0148
MAPEMean absolute percentage error0.0015
SAESum of the absolute errors0.8863
As with simple exponential smoothing, in triple exponential smoothing models past Global X 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 Global X Active observations.

Other Forecasting Options for Global X

Bollinger Bands applied to Global Etf price data measure how far Global has deviated from its recent average relative to its own volatility. This distinction drives the choice of forecasting model applied to Global X's price data.

Global X Related Equities

Global X's market space within the Canadian Short Term Fixed Income space is best grasped by looking at the firms listed below. Looking at Global X's pricing multiples next to these peers shows if the stock trades at a premium or discount. How Global X ranks within this group can shift over time as the competitive picture changes.
 Risk & Return  Correlation

Global X Market Strength Events

For investors tracking Global X Active, market strength indicators offer quantitative evaluation of etf behavior. These indicators add context to timing decisions around Global X Active positions.

Global X Risk Indicators

Analyzing Global X's basic risk indicators provides investors with a structured view of the risk-return trade-off for global etf. By identifying the level of risk embedded in Global X's investment, investors can make informed decisions about position sizing.
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 Global X

A coverage review of Global X Active shows when the security is attracting above-average attention from contributors and market observers. A disciplined read of coverage separates durable relevance from temporary noise.

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.

More Resources for Global Etf Analysis

Other Information on Investing in Global Etf

Global X financial ratios describe how key financial values relate to each other. All information reflects the latest available financial data and is presented for reference purposes.