Sky Petroleum Financials

SKPI Stock  USD 0.0002  0.00  0.00%   
We advise to exercise Sky Petroleum fundamental analysis to find out if markets are presently mispricing the firm. In other words this technique allows you to confirm available indicators of Sky Petroleum as well as the relationship between them. We were able to interpolate data for twenty-three available drivers for Sky Petroleum, which can be compared to its competition. The stock experiences a normal downward fluctuation but is a risky buy. Check odds of Sky Petroleum to be traded at $2.0E-4 in 90 days.
  

Sky Petroleum Stock Summary

Sky Petroleum competes with Pantheon Resources. Sky Petroleum, Inc. acquires, explores, develops, and produces oil and natural gas properties of others under arrangements in which the company finances the costs in exchange for interests in the oil or natural gas revenue generated by the properties. Sky Petroleum, Inc. was founded in 2002 and is based in Frisco, Texas. Sky Petroleum operates under Oil Gas EP classification in the United States and is traded on OTC Exchange.
InstrumentUSA Pink Sheet View All
ExchangePINK Exchange
Business Address5605 FM 423,
SectorEnergy
IndustryOil & Gas E&P
BenchmarkDow Jones Industrial
Websitewww.skypetroleum.com
Phone469 333 7104
CurrencyUSD - US Dollar

Sky Petroleum Key Financial Ratios

Sky Petroleum's financial ratios allow both analysts and investors to convert raw data from Sky Petroleum's financial statements into concise, actionable information that can be used to evaluate the performance of Sky Petroleum over time and compare it to other companies across industries.

Sky Financial Ratios Relationships

Comparative valuation techniques use various fundamental indicators to help in determining Sky Petroleum's current stock value. Our valuation model uses many indicators to compare Sky Petroleum value to that of its competitors to determine the firm's financial worth. You can analyze the relationship between different fundamental ratios across Sky Petroleum competition to find correlations between indicators driving Sky Petroleum's intrinsic value. More Info.
Sky Petroleum is rated fifth in return on asset category among its peers. It also is rated fifth in current valuation category among its peers . Comparative valuation analysis is a catch-all model that can be used if you cannot value Sky Petroleum by discounting back its dividends or cash flows. This model doesn't attempt to find an intrinsic value for Sky Petroleum's Pink Sheet. Still, instead, it compares the stock's price multiples to a benchmark or nearest competition to determine if the stock is relatively undervalued or overvalued.

Sky Petroleum Systematic Risk

Sky Petroleum's systematic risk plays a vital role in portfolio allocation when considering its stock to be added to a well-diversified portfolio. Sky Petroleum volatility which cannot be eliminated through diversification, requires returns over the risk-free rate. Over the long run, a well-diversified portfolio provides returns that match its exposure to systematic risk. In this case, investors face a trade-off between expected returns and systematic risk and, therefore, can only reduce a portfolio's exposure to systematic risk by sacrificing expected returns on the portfolio.
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was one with a total number of output elements of sixty. The Beta measures systematic risk based on how returns on Sky Petroleum correlated with the market. If Beta is less than 0 Sky Petroleum generally moves in the opposite direction as compared to the market. If Sky Petroleum Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Sky Petroleum is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Sky Petroleum is generally in the same direction as the market. If Beta > 1 Sky Petroleum moves generally in the same direction as, but more than the movement of the benchmark.

Sky Petroleum January 8, 2025 Opportunity Range

Along with financial statement analysis, the daily predictive indicators of Sky Petroleum help investors to analyze its daily demand and supply, volume, patterns, and price swings to determine the real value of Sky Petroleum. We use our internally-developed statistical techniques to arrive at the intrinsic value of Sky Petroleum based on widely used predictive technical indicators. In general, we focus on analyzing Sky Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Sky Petroleum's daily price indicators and compare them against related drivers.

Complementary Tools for Sky Pink Sheet analysis

When running Sky Petroleum's price analysis, check to measure Sky Petroleum's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Sky Petroleum is operating at the current time. Most of Sky Petroleum's value examination focuses on studying past and present price action to predict the probability of Sky Petroleum's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sky Petroleum's price. Additionally, you may evaluate how the addition of Sky Petroleum to your portfolios can decrease your overall portfolio volatility.
Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas
Price Transformation
Use Price Transformation models to analyze the depth of different equity instruments across global markets
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
Aroon Oscillator
Analyze current equity momentum using Aroon Oscillator and other momentum ratios
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm