Sahara Energy Stock Market Value
| SAHRF Stock | USD 0.01 0.00 0.00% |
| Symbol | Sahara |
Sahara 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 Sahara 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 Sahara Energy.
| 05/04/2023 |
| 11/24/2024 |
If you would invest 0.00 in Sahara Energy on May 4, 2023 and sell it all today you would earn a total of 0.00 from holding Sahara Energy or generate 0.0% return on investment in Sahara Energy over 570 days. Sahara Energy is related to or competes with Petroleo Brasileiro, Equinor ASA, Eni SPA, YPF Sociedad, Ecopetrol, BP PLC, and Shell PLC. Capitan Investment Ltd. engages in real estate development business in the United States More
Sahara 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 Sahara 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 Sahara Energy upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1204 | |||
| Maximum Drawdown | 400.0 |
Sahara Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sahara Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sahara Energy's standard deviation. In reality, there are many statistical measures that can use Sahara Energy historical prices to predict the future Sahara Energy's volatility.| Risk Adjusted Performance | 0.1042 | |||
| Jensen Alpha | 7.17 | |||
| Total Risk Alpha | (1.70) | |||
| Treynor Ratio | (0.65) |
Sahara Energy Backtested Returns
Sahara Energy is out of control given 3 months investment horizon. Sahara Energy owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.12, which indicates the firm had a 0.12% return per unit of risk over the last 3 months. We were able to interpolate data for seventeen different technical indicators, which can help you to evaluate if expected returns of 6.15% are justified by taking the suggested risk. Use Sahara Energy Coefficient Of Variation of 812.4, risk adjusted performance of 0.1042, and Variance of 2424.24 to evaluate company specific risk that cannot be diversified away. Sahara Energy holds a performance score of 9 on a scale of zero to a hundred. The entity has a beta of -9.26, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Sahara Energy are expected to decrease by larger amounts. On the other hand, during market turmoil, Sahara Energy is expected to outperform it. Use Sahara Energy standard deviation, maximum drawdown, as well as the relationship between the Maximum Drawdown and day median price , to analyze future returns on Sahara Energy.
Auto-correlation | 0.71 |
Good predictability
Sahara Energy has good predictability. Overlapping area represents the amount of predictability between Sahara Energy time series from 4th of May 2023 to 13th of February 2024 and 13th of February 2024 to 24th of November 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 Sahara Energy price movement. The serial correlation of 0.71 indicates that around 71.0% of current Sahara Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.71 | |
| Spearman Rank Test | 0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Sahara Energy lagged returns against current returns
Autocorrelation, which is Sahara 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 Sahara Energy's pink sheet expected returns. We can calculate the autocorrelation of Sahara Energy returns to help us make a trade decision. For example, suppose you find that Sahara 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 |
Sahara 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 Sahara Energy pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sahara 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 Sahara Energy pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Sahara Energy Lagged Returns
When evaluating Sahara Energy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sahara Energy pink sheet have on its future price. Sahara 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, Sahara Energy autocorrelation shows the relationship between Sahara Energy pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Sahara Energy.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Sahara Pink Sheet
Sahara Energy financial ratios help investors to determine whether Sahara 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 Sahara with respect to the benefits of owning Sahara Energy security.