Enterprise Products Stock Forward View - Double Exponential Smoothing
| EPD Stock | USD 37.49 0.04 0.11% |
This Double Exponential Smoothing reference page for Enterprise Products Partners presents model-generated forecast data based on historical daily prices. The output values and deviation metrics are provided for informational reference.
The Double Exponential Smoothing forecasted value of Enterprise Products Partners on the next trading day is expected to be 37.57 with a mean absolute deviation of 0.27 and the sum of the absolute errors of 16.12.When Enterprise Products Partners 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 Enterprise Products Partners 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 Enterprise Products observations are given relatively more weight in forecasting than the older observations. All Double Exponential Smoothing forecast figures shown for Enterprise Products Partners are reference data reflecting model output based on available historical prices. Double Exponential Smoothing Price Forecast For the 21st of March
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Enterprise Products Partners on the next trading day is expected to be 37.57 with a mean absolute deviation of 0.27 , mean absolute percentage error of 0.17 , and the sum of the absolute errors of 16.12 .Please note that although there have been many attempts to predict Enterprise Stock 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 Enterprise Products' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest Enterprise Products | Enterprise Products Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for Enterprise Products Partners uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
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 Enterprise Products stock data series using in forecasting. Note that when a statistical model is used to represent Enterprise Products stock, 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.| AIC | Akaike Information Criteria | Huge |
| Bias | Arithmetic mean of the errors | -0.0236 |
| MAD | Mean absolute deviation | 0.2732 |
| MAPE | Mean absolute percentage error | 0.0078 |
| SAE | Sum of the absolute errors | 16.1214 |
Other Forecasting Options for Enterprise Products
Price movement is the most fundamental factor that determines whether Enterprise is a viable investment for any investor. Enterprise Stock price charts are often noisy, making it difficult to identify meaningful patterns without analytical tools.Enterprise Products Related Equities
The following equities are related to Enterprise Products within the Energy space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Enterprise Products against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
| Risk & Return | Correlation |
Enterprise Products Market Strength Events
Assessing the market strength of Enterprise Products stock provides investors with a clearer picture of how the security reacts to evolving market dynamics. These indicators can be used to identify periods when trading Enterprise Products Partners is most likely to be profitable.
Enterprise Products Risk Indicators
The analysis of Enterprise Products' basic risk metrics provides a foundation for forecasting its future price and managing investment risk. Identifying the magnitude of risk in Enterprise Products' provides context to choose between accepting or hedging their exposure.
| Mean Deviation | 0.7656 | |||
| Semi Deviation | 0.5832 | |||
| Standard Deviation | 1.16 | |||
| Variance | 1.35 | |||
| Downside Variance | 0.8698 | |||
| Semi Variance | 0.3402 | |||
| Expected Short fall | -0.87 |
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 Enterprise Products
Story coverage around Enterprise Products Partners often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. A disciplined read of coverage separates durable relevance from temporary noise.
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Enterprise Products Short Properties
Reviewing short-oriented indicators for Enterprise Products Partners is useful because long and short participants often create very different signals for timing and volatility. Used correctly, these measures can help investors decide when hedging or timing discipline may matter more than conviction alone.
| Common Stock Shares Outstanding | 2.2 B | |
| Cash And Short Term Investments | 1.7 B |