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Triple exponential smoothing for equity instruments - 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 equity instruments 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 equity instruments price movement. However, neither of these exponential smoothing models address any seasonality of ###3###.
As with simple exponential smoothing, in triple exponential smoothing models past equity instruments 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 price observations.
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Thematic investing can help investors turn one market idea into a broader portfolio concept with clearer diversification and optimization choices. This approach is most valuable when investors want to align conviction with portfolio construction instead of simply adding another ticker.Thematic Opportunities
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Go to your portfolio centerThe information on this page should be treated as a complementary input when building or adjusting a diversified portfolio. The stronger workflow is to validate these signals with other models before acting. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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