Alerian Energy Infrastructure Etf Market Value
| ENFR Etf | USD 32.96 0.42 1.29% |
| Symbol | Alerian |
The market value of Alerian Energy Infra is measured differently than its book value, which is the value of Alerian that is recorded on the company's balance sheet. Investors also form their own opinion of Alerian Energy's value that differs from its market value or its book value, called intrinsic value, which is Alerian Energy's 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 Alerian Energy's market value can be influenced by many factors that don't directly affect Alerian Energy's 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 Alerian Energy's value and its price as these two are different measures arrived at by different means. Investors typically determine if Alerian Energy is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Alerian Energy's 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.
Alerian Energy 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Alerian Energy's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Alerian Energy.
| 04/13/2023 |
| 02/01/2025 |
If you would invest 0.00 in Alerian Energy on April 13, 2023 and sell it all today you would earn a total of 0.00 from holding Alerian Energy Infrastructure or generate 0.0% return on investment in Alerian Energy over 660 days. Alerian Energy is related to or competes with Global X, Tortoise North, First Trust, Global X, and Barclays ETN. The underlying index is a composite of North American energy infrastructure companies engaged in midstream activities in... More
Alerian Energy Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Alerian Energy's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Alerian Energy Infrastructure upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.4 | |||
| Information Ratio | 0.0894 | |||
| Maximum Drawdown | 6.59 | |||
| Value At Risk | (2.23) | |||
| Potential Upside | 1.83 |
Alerian Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alerian Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alerian Energy's standard deviation. In reality, there are many statistical measures that can use Alerian Energy historical prices to predict the future Alerian Energy's volatility.| Risk Adjusted Performance | 0.1316 | |||
| Jensen Alpha | 0.1597 | |||
| Total Risk Alpha | 0.078 | |||
| Sortino Ratio | 0.079 | |||
| Treynor Ratio | 0.6331 |
Alerian Energy Infra Backtested Returns
Currently, Alerian Energy Infrastructure is very steady. Alerian Energy Infra secures Sharpe Ratio (or Efficiency) of 0.13, which signifies that the etf had a 0.13 % return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for Alerian Energy Infrastructure, which you can use to evaluate the volatility of the entity. Please confirm Alerian Energy's mean deviation of 0.9474, and Risk Adjusted Performance of 0.1316 to double-check if the risk estimate we provide is consistent with the expected return of 0.17%. The etf shows a Beta (market volatility) of 0.28, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Alerian Energy's returns are expected to increase less than the market. However, during the bear market, the loss of holding Alerian Energy is expected to be smaller as well.
Auto-correlation | 0.90 |
Excellent predictability
Alerian Energy Infrastructure has excellent predictability. Overlapping area represents the amount of predictability between Alerian Energy time series from 13th of April 2023 to 8th of March 2024 and 8th of March 2024 to 1st of February 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Alerian Energy Infra price movement. The serial correlation of 0.9 indicates that approximately 90.0% of current Alerian Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.9 | |
| Spearman Rank Test | 0.92 | |
| Residual Average | 0.0 | |
| Price Variance | 8.55 |
Alerian Energy Infra lagged returns against current returns
Autocorrelation, which is Alerian Energy etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Alerian Energy's etf expected returns. We can calculate the autocorrelation of Alerian Energy returns to help us make a trade decision. For example, suppose you find that Alerian Energy has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Alerian Energy regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Alerian Energy etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alerian Energy etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Alerian Energy etf over time.
Current vs Lagged Prices |
| Timeline |
Alerian Energy Lagged Returns
When evaluating Alerian Energy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Alerian Energy etf have on its future price. Alerian Energy autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Alerian Energy autocorrelation shows the relationship between Alerian Energy etf current value and its past values and can show if there is a momentum factor associated with investing in Alerian Energy Infrastructure.
Regressed Prices |
| Timeline |
Pair Trading with Alerian Energy
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 Alerian Energy 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 Alerian Energy will appreciate offsetting losses from the drop in the long position's value.Moving together with Alerian Etf
| 0.97 | EMLP | First Trust North | PairCorr |
| 0.92 | MLPA | Global X MLP | PairCorr |
| 0.95 | MLPX | Global X MLP | PairCorr |
| 0.99 | TPYP | Tortoise North American | PairCorr |
Moving against Alerian Etf
| 0.8 | BITI | ProShares Trust | PairCorr |
| 0.68 | GREI | Goldman Sachs Future | PairCorr |
| 0.36 | JNJ | Johnson Johnson | PairCorr |
The ability to find closely correlated positions to Alerian Energy could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Alerian Energy 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 Alerian Energy - 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 Alerian Energy Infrastructure to buy it.
The correlation of Alerian Energy 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 Alerian Energy moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Alerian Energy Infra 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 Alerian Energy 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.Check out Alerian Energy Correlation, Alerian Energy Volatility and Alerian Energy Alpha and Beta module to complement your research on Alerian Energy. You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
Alerian Energy technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.