Carbon Energy Stock Market Value
| CRBO Stock | USD 0.0006 0.0001 20.00% |
| Symbol | Carbon |
Carbon 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 Carbon Energy'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 Carbon Energy.
| 01/13/2025 |
| 01/08/2026 |
If you would invest 0.00 in Carbon Energy on January 13, 2025 and sell it all today you would earn a total of 0.00 from holding Carbon Energy or generate 0.0% return on investment in Carbon Energy over 360 days. Carbon Energy Corporation, an independent oil and natural gas company, engages in the acquisition, exploration, developm... More
Carbon 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 Carbon Energy'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 Carbon Energy upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 124.8 |
Carbon Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Carbon Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Carbon Energy's standard deviation. In reality, there are many statistical measures that can use Carbon Energy historical prices to predict the future Carbon Energy's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (1.00) | |||
| Total Risk Alpha | (1.95) | |||
| Treynor Ratio | (0.33) |
Carbon Energy Backtested Returns
Carbon Energy secures Sharpe Ratio (or Efficiency) of -0.0655, which signifies that the company had a -0.0655 % return per unit of risk over the last 3 months. Carbon Energy exposes nineteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Carbon Energy's Standard Deviation of 12.97, mean deviation of 3.0, and Risk Adjusted Performance of (0.04) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 2.53, which signifies 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, Carbon Energy will likely underperform. At this point, Carbon Energy has a negative expected return of -0.87%. Please make sure to confirm Carbon Energy's information ratio, kurtosis, as well as the relationship between the Kurtosis and day typical price , to decide if Carbon Energy performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.40 |
Average predictability
Carbon Energy has average predictability. Overlapping area represents the amount of predictability between Carbon Energy time series from 13th of January 2025 to 12th of July 2025 and 12th of July 2025 to 8th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Carbon Energy price movement. The serial correlation of 0.4 indicates that just about 40.0% of current Carbon Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.4 | |
| Spearman Rank Test | 0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Carbon Energy lagged returns against current returns
Autocorrelation, which is Carbon Energy 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 Carbon Energy's pink sheet expected returns. We can calculate the autocorrelation of Carbon Energy returns to help us make a trade decision. For example, suppose you find that Carbon Energy 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 |
Carbon 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 Carbon Energy pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Carbon Energy pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Carbon Energy pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Carbon Energy Lagged Returns
When evaluating Carbon Energy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Carbon Energy pink sheet have on its future price. Carbon 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, Carbon Energy autocorrelation shows the relationship between Carbon Energy pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Carbon Energy.
Regressed Prices |
| Timeline |
Pair Trading with Carbon 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 Carbon 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 Carbon Energy will appreciate offsetting losses from the drop in the long position's value.Moving together with Carbon Pink Sheet
Moving against Carbon Pink Sheet
| 0.89 | WMT | Walmart Common Stock | PairCorr |
| 0.81 | AA | Alcoa Corp | PairCorr |
| 0.78 | MCHB | Mechanics Bank Symbol Change | PairCorr |
| 0.76 | MRK | Merck Company Sell-off Trend | PairCorr |
| 0.69 | JPM | JPMorgan Chase Earnings Call This Week | PairCorr |
The ability to find closely correlated positions to Carbon 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 Carbon 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 Carbon 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 Carbon Energy to buy it.
The correlation of Carbon 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 Carbon Energy moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Carbon Energy 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 Carbon 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.Other Information on Investing in Carbon Pink Sheet
Carbon Energy financial ratios help investors to determine whether Carbon 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 Carbon with respect to the benefits of owning Carbon Energy security.