Energy Revenue Amer Stock Market Value
| ERAO Stock | USD 0.04 0.01 14.39% |
| Symbol | Energy |
Energy Revenue '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 Energy Revenue's pink sheet 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 Energy Revenue.
| 12/12/2022 |
| 12/01/2024 |
If you would invest 0.00 in Energy Revenue on December 12, 2022 and sell it all today you would earn a total of 0.00 from holding Energy Revenue Amer or generate 0.0% return on investment in Energy Revenue over 720 days. Energy Revenue is related to or competes with Permian Resources, Devon Energy, EOG Resources, Coterra Energy, Diamondback Energy, and ConocoPhillips. Energy Revenue America, Inc. engages in the exploration, development, production, and marketing of natural gas More
Energy Revenue 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 Energy Revenue's pink sheet 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 Energy Revenue Amer upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 22.2 | |||
| Information Ratio | 0.1212 | |||
| Maximum Drawdown | 203.59 | |||
| Value At Risk | (26.04) | |||
| Potential Upside | 32.26 |
Energy Revenue Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Energy Revenue's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Energy Revenue's standard deviation. In reality, there are many statistical measures that can use Energy Revenue historical prices to predict the future Energy Revenue's volatility.| Risk Adjusted Performance | 0.1064 | |||
| Jensen Alpha | 2.89 | |||
| Total Risk Alpha | (1.05) | |||
| Sortino Ratio | 0.1408 | |||
| Treynor Ratio | 1.13 |
Energy Revenue Amer Backtested Returns
Energy Revenue is out of control given 3 months investment horizon. Energy Revenue Amer secures Sharpe Ratio (or Efficiency) of 0.13, which denotes the company had a 0.13% return per unit of risk over the last 3 months. We were able to analyze thirty different technical indicators, which can help you to evaluate if expected returns of 3.37% are justified by taking the suggested risk. Use Energy Revenue Coefficient Of Variation of 790.18, downside deviation of 22.2, and Mean Deviation of 11.91 to evaluate company specific risk that cannot be diversified away. Energy Revenue holds a performance score of 10 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 2.87, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Energy Revenue will likely underperform. Use Energy Revenue downside variance, day median price, and the relationship between the treynor ratio and kurtosis , to analyze future returns on Energy Revenue.
Auto-correlation | -0.02 |
Very weak reverse predictability
Energy Revenue Amer has very weak reverse predictability. Overlapping area represents the amount of predictability between Energy Revenue time series from 12th of December 2022 to 7th of December 2023 and 7th of December 2023 to 1st of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Energy Revenue Amer price movement. The serial correlation of -0.02 indicates that only 2.0% of current Energy Revenue price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.02 | |
| Spearman Rank Test | -0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Energy Revenue Amer lagged returns against current returns
Autocorrelation, which is Energy Revenue pink sheet'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 Energy Revenue's pink sheet expected returns. We can calculate the autocorrelation of Energy Revenue returns to help us make a trade decision. For example, suppose you find that Energy Revenue has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Energy Revenue 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 Energy Revenue pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Energy Revenue pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Energy Revenue pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Energy Revenue Lagged Returns
When evaluating Energy Revenue's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Energy Revenue pink sheet have on its future price. Energy Revenue 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, Energy Revenue autocorrelation shows the relationship between Energy Revenue pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Energy Revenue Amer.
Regressed Prices |
| Timeline |
Pair Trading with Energy Revenue
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 Energy Revenue 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 Energy Revenue will appreciate offsetting losses from the drop in the long position's value.Moving against Energy Pink Sheet
| 0.59 | KO | Coca Cola Aggressive Push | PairCorr |
| 0.46 | PG | Procter Gamble Sell-off Trend | PairCorr |
| 0.43 | JNJ | Johnson Johnson Sell-off Trend | PairCorr |
| 0.39 | BA | Boeing Fiscal Year End 29th of January 2025 | PairCorr |
| 0.33 | OXY | Occidental Petroleum | PairCorr |
The ability to find closely correlated positions to Energy Revenue could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Energy Revenue 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 Energy Revenue - 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 Energy Revenue Amer to buy it.
The correlation of Energy Revenue 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 Energy Revenue moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Energy Revenue Amer 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 Energy Revenue 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.Other Information on Investing in Energy Pink Sheet
Energy Revenue financial ratios help investors to determine whether Energy Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Energy with respect to the benefits of owning Energy Revenue security.