Enterprise Products Stock Forecast - Naive Prediction

EPD Stock  USD 29.05  0.01  0.03%   
The Naive Prediction forecasted value of Enterprise Products Partners on the next trading day is expected to be 28.98 with a mean absolute deviation of  0.18  and the sum of the absolute errors of 11.33. Enterprise Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Enterprise Products stock prices and determine the direction of Enterprise Products Partners's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Enterprise Products' historical fundamentals, such as revenue growth or operating cash flow patterns. Although Enterprise Products' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Enterprise Products' systematic risk associated with finding meaningful patterns of Enterprise Products fundamentals over time.
Check out Historical Fundamental Analysis of Enterprise Products to cross-verify your projections.
  
At present, Enterprise Products' Receivables Turnover is projected to slightly decrease based on the last few years of reporting. The current year's Asset Turnover is expected to grow to 1.00, whereas Inventory Turnover is forecasted to decline to 12.19. . The current year's Net Income Applicable To Common Shares is expected to grow to about 6.6 B, whereas Common Stock Shares Outstanding is forecasted to decline to about 1.5 B.

Open Interest Against 2024-03-28 Enterprise Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Enterprise Products' spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Enterprise Products' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Enterprise Products stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Enterprise Products' open interest, investors have to compare it to Enterprise Products' spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Enterprise Products is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Enterprise. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Most investors in Enterprise Products cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Enterprise Products' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Enterprise Products' price structures and extracts relationships that further increase the generated results' accuracy.
A naive forecasting model for Enterprise Products is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Enterprise Products Partners value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Enterprise Products Naive Prediction Price Forecast For the 29th of March

Given 90 days horizon, the Naive Prediction forecasted value of Enterprise Products Partners on the next trading day is expected to be 28.98 with a mean absolute deviation of 0.18, mean absolute percentage error of 0.06, and the sum of the absolute errors of 11.33.
Please note that although there have been many attempts to predict Enterprise Stock 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 Enterprise Products' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Enterprise Products Stock Forecast Pattern

Backtest Enterprise ProductsEnterprise Products Price PredictionBuy or Sell Advice 

Enterprise Products Forecasted Value

In the context of forecasting Enterprise Products' Stock 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. Enterprise Products' downside and upside margins for the forecasting period are 28.36 and 29.60, respectively. We have considered Enterprise Products' 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
29.05
28.98
Expected Value
29.60
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction 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.
AICAkaike Information Criteria117.0616
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1828
MAPEMean absolute percentage error0.0068
SAESum of the absolute errors11.3312
This model is not at all useful as a medium-long range forecasting tool of Enterprise Products Partners. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Enterprise Products. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Enterprise Products

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Enterprise Products. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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 Enterprise Products' 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
28.4329.0529.67
Details
Intrinsic
Valuation
LowRealHigh
27.6428.2531.96
Details
Bollinger
Band Projection (param)
LowMiddleHigh
28.9229.0229.12
Details
22 Analysts
Consensus
LowTargetHigh
28.9731.8435.34
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Enterprise Products. Your research has to be compared to or analyzed against Enterprise Products' peers to derive any actionable benefits. When done correctly, Enterprise Products' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Enterprise Products.

Other Forecasting Options for Enterprise Products

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

Enterprise Products Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Enterprise Products stock to make a market-neutral strategy. Peer analysis of Enterprise Products could also be used in its relative valuation, which is a method of valuing Enterprise Products by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Enterprise Products Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Enterprise Products' 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 Enterprise Products' current price.

Enterprise Products Market Strength Events

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

Enterprise Products Risk Indicators

The analysis of Enterprise Products' 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 Enterprise Products' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting enterprise stock 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.

Pair Trading with Enterprise Products

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Enterprise Products position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Enterprise Products will appreciate offsetting losses from the drop in the long position's value.

Moving together with Enterprise Stock

  0.9AM Antero Midstream Partners Financial Report 24th of April 2024 PairCorr
  0.97ET Energy Transfer LP Financial Report 7th of May 2024 PairCorr
  0.78NS NuStar Energy LP Financial Report 2nd of May 2024 PairCorr

Moving against Enterprise Stock

  0.72FLNG FLEX LNG Financial Report 21st of May 2024 PairCorr
  0.6EURN Euronav NV Financial Report 9th of May 2024 PairCorr
  0.58GEL Genesis Energy LPPairCorr
  0.58LNG Cheniere Energy Financial Report 7th of May 2024 PairCorr
  0.51LPG Dorian LPG Financial Report 22nd of May 2024 PairCorr
The ability to find closely correlated positions to Enterprise Products could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Enterprise Products when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Enterprise Products - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Enterprise Products Partners to buy it.
The correlation of Enterprise Products is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Enterprise Products moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Enterprise Products moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Enterprise Products can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
When determining whether Enterprise Products is a strong investment it is important to analyze Enterprise Products' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Enterprise Products' future performance. For an informed investment choice regarding Enterprise Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Enterprise Products to cross-verify your projections.
You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.

Complementary Tools for Enterprise Stock analysis

When running Enterprise Products' price analysis, check to measure Enterprise Products' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Enterprise Products is operating at the current time. Most of Enterprise Products' value examination focuses on studying past and present price action to predict the probability of Enterprise Products' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Enterprise Products' price. Additionally, you may evaluate how the addition of Enterprise Products to your portfolios can decrease your overall portfolio volatility.
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Is Enterprise Products' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Enterprise Products. If investors know Enterprise will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Enterprise Products listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
0.096
Dividend Share
2.005
Earnings Share
2.52
Revenue Per Share
22.889
Quarterly Revenue Growth
0.071
The market value of Enterprise Products is measured differently than its book value, which is the value of Enterprise that is recorded on the company's balance sheet. Investors also form their own opinion of Enterprise Products' value that differs from its market value or its book value, called intrinsic value, which is Enterprise Products' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Enterprise Products' market value can be influenced by many factors that don't directly affect Enterprise Products' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Enterprise Products' value and its price as these two are different measures arrived at by different means. Investors typically determine if Enterprise Products is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Enterprise Products' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.