Sky Petroleum Stock Market Value
SKPI Stock | USD 0.07 0.06 600.00% |
Symbol | Sky |
Sky Petroleum '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 Sky Petroleum'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 Sky Petroleum.
11/16/2024 |
| 12/16/2024 |
If you would invest 0.00 in Sky Petroleum on November 16, 2024 and sell it all today you would earn a total of 0.00 from holding Sky Petroleum or generate 0.0% return on investment in Sky Petroleum over 30 days. Sky Petroleum is related to or competes with Pantheon Resources. Sky Petroleum, Inc. acquires, explores, develops, and produces oil and natural gas properties of others under arrangemen... More
Sky Petroleum 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 Sky Petroleum'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 Sky Petroleum upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | 0.1103 | |||
Maximum Drawdown | 600.0 |
Sky Petroleum Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sky Petroleum's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sky Petroleum's standard deviation. In reality, there are many statistical measures that can use Sky Petroleum historical prices to predict the future Sky Petroleum's volatility.Risk Adjusted Performance | 0.0908 | |||
Jensen Alpha | 8.76 | |||
Total Risk Alpha | (0.95) | |||
Treynor Ratio | (1.80) |
Sky Petroleum Backtested Returns
Sky Petroleum is out of control given 3 months investment horizon. Sky Petroleum owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.11, which indicates the firm had a 0.11% return per unit of risk over the last 3 months. We were able to interpolate data for nineteen different technical indicators, which can help you to evaluate if expected returns of 8.48% are justified by taking the suggested risk. Use Sky Petroleum Coefficient Of Variation of 895.74, risk adjusted performance of 0.0908, and Variance of 5591.16 to evaluate company specific risk that cannot be diversified away. Sky Petroleum holds a performance score of 8 on a scale of zero to a hundred. The entity has a beta of -4.63, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Sky Petroleum are expected to decrease by larger amounts. On the other hand, during market turmoil, Sky Petroleum is expected to outperform it. Use Sky Petroleum information ratio, as well as the relationship between the daily balance of power and period momentum indicator , to analyze future returns on Sky Petroleum.
Auto-correlation | 0.28 |
Poor predictability
Sky Petroleum has poor predictability. Overlapping area represents the amount of predictability between Sky Petroleum time series from 16th of November 2024 to 1st of December 2024 and 1st of December 2024 to 16th 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 Sky Petroleum price movement. The serial correlation of 0.28 indicates that nearly 28.0% of current Sky Petroleum price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.28 | |
Spearman Rank Test | 0.5 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Sky Petroleum lagged returns against current returns
Autocorrelation, which is Sky Petroleum 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 Sky Petroleum's pink sheet expected returns. We can calculate the autocorrelation of Sky Petroleum returns to help us make a trade decision. For example, suppose you find that Sky Petroleum 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 |
Sky Petroleum 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 Sky Petroleum pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sky Petroleum pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sky Petroleum pink sheet over time.
Current vs Lagged Prices |
Timeline |
Sky Petroleum Lagged Returns
When evaluating Sky Petroleum's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sky Petroleum pink sheet have on its future price. Sky Petroleum 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, Sky Petroleum autocorrelation shows the relationship between Sky Petroleum pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Sky Petroleum.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Sky Pink Sheet
Sky Petroleum financial ratios help investors to determine whether Sky 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 Sky with respect to the benefits of owning Sky Petroleum security.