Enterprise Products Stock Forecast - Polynomial Regression

EPD
 Stock
  

USD 24.45  0.30  1.21%   

Enterprise Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Enterprise Products historical stock prices and determine the direction of Enterprise Products Partners's future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of Enterprise Products historical fundamentals such as revenue growth or operating cash flow patterns.
Continue to Historical Fundamental Analysis of Enterprise Products to cross-verify your projections.
  

Open Interest Agains t 2022-12-02 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 Enterprise Products' options reflect these daily shifts, investors could use the patterns of these changes to develop long and short trading strategies Enterprise Products stock based on available contracts left at the end of a trading day.
Please note, 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.
Enterprise Products polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Enterprise Products Partners as well as the accuracy indicators are determined from the period prices.

Enterprise Products Polynomial Regression Price Forecast For the 29th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Enterprise Products Partners on the next trading day is expected to be 24.28 with a mean absolute deviation of 0.36, mean absolute percentage error of 0.27, and the sum of the absolute errors of 21.96.
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 22.93 and 25.62, 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 24.45
24.28
Expected Value
25.62
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression 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 Criteria116.7984
BiasArithmetic mean of the errors None
MADMean absolute deviation0.36
MAPEMean absolute percentage error0.0147
SAESum of the absolute errors21.96
A single variable polynomial regression model attempts to put a curve through the Enterprise Products historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

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 or bond 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, frequently view 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. Please use the tools below to analyze the current value of Enterprise Products in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
23.4024.7526.10
Details
Intrinsic
Valuation
LowReal ValueHigh
22.2826.2627.61
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
24.5224.8125.11
Details
11 Analysts
Consensus
LowTarget PriceHigh
24.0027.9231.00
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 towards 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.
Plains All AmericanAmn Healthcare ServicesTwist Bioscience CorpFreedom Holding CorpGx Nasdaq-100 CoveredFranklin Mutual EuropeanBhp BillitonNatural Hlth TrdUSA Value FactorBetapro Canadian GoldAramark Holdings CorpLong-Term Govt BondSeagate Technology HldgsVistra Energy CorpExxon Mobil Corp
 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 helping accuretelly forecast 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 funamental techniques of forecasting Enterprise Products stock price, 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 stock investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Enterprise Products Investors Sentiment

The influence of Enterprise Products' investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Enterprise. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock markets does not have a solid backing from leading economists and market statisticians.
Investor biases related to Enterprise Products' public news can be used to forecast risks associated with investment in Enterprise. The trend in average sentiment can be used to explain how an investor holding Enterprise can time the market purely based on public headlines and social activities around Enterprise Products Partners. Please note that most equiteis that are difficult to arbitrage are affected by market sentiment the most.
Enterprise Products' market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Enterprise Products' and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Enterprise Products' news discussions. The higher the estimated score, the more favorable is the investor's outlook on Enterprise Products.

Enterprise Products Implied Volatility

    
  17.62  
Enterprise Products' implied volatility exposes the market's sentiment of Enterprise Products Partners stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Enterprise Products' implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Enterprise Products stock will not fluctuate a lot when Enterprise Products' options are near their expiration.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Enterprise Products in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Enterprise Products' short interest history, or implied volatility extrapolated from Enterprise Products options trading.

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 Products

+0.76KMIKinder Morgan Potential GrowthPairCorr
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 equities. 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
Continue to Historical Fundamental Analysis of Enterprise Products to cross-verify your projections. You can also try Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.

Complementary Tools for 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 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 YOY
0.18
Market Capitalization
53.8 B
Quarterly Revenue Growth YOY
0.43
Return On Assets
0.0573
Return On Equity
0.2
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 Enterprise Products value 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.