Power Resource Exploration Stock Market Value
| PREXF Stock | USD 0.0002 0.00 0.00% |
| Symbol | Power |
Power Resource Explo Price To Book Ratio
Is Stock space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Power Resource. If investors know Power will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Power Resource listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Power Resource Explo is measured differently than its book value, which is the value of Power that is recorded on the company's balance sheet. Investors also form their own opinion of Power Resource's value that differs from its market value or its book value, called intrinsic value, which is Power Resource's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Power Resource's market value can be influenced by many factors that don't directly affect Power Resource's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Power Resource's value and its price as these two are different measures arrived at by different means. Investors typically determine if Power Resource is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Power Resource's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Power Resource '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 Power Resource's stock 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 Power Resource.
| 05/17/2025 |
| 08/15/2025 |
If you would invest 0.00 in Power Resource on May 17, 2025 and sell it all today you would earn a total of 0.00 from holding Power Resource Exploration or generate 0.0% return on investment in Power Resource over 90 days. Power Resource Exploration Inc., an oil and gas exploration stage company, engages in the acquisition, exploration, and ... More
Power Resource 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 Power Resource's stock 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 Power Resource Exploration upside and downside potential and time the market with a certain degree of confidence.
Power Resource Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Power Resource's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Power Resource's standard deviation. In reality, there are many statistical measures that can use Power Resource historical prices to predict the future Power Resource's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Power Resource's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Power Resource Explo Backtested Returns
We have found three technical indicators for Power Resource Explo, which you can use to evaluate the volatility of the company. The company holds a Beta of 0.0, which implies not very significant fluctuations relative to the market. the returns on MARKET and Power Resource are completely uncorrelated.
Auto-correlation | 1.00 |
Perfect predictability
Power Resource Exploration has perfect predictability. Overlapping area represents the amount of predictability between Power Resource time series from 17th of May 2025 to 1st of July 2025 and 1st of July 2025 to 15th of August 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Power Resource Explo price movement. The serial correlation of 1.0 indicates that 100.0% of current Power Resource price fluctuation can be explain by its past prices.
| Correlation Coefficient | 1.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Power Resource Explo lagged returns against current returns
Autocorrelation, which is Power Resource stock'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 Power Resource's stock expected returns. We can calculate the autocorrelation of Power Resource returns to help us make a trade decision. For example, suppose you find that Power Resource has exhibited high autocorrelation historically, and you observe that the stock 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 |
Power Resource 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 Power Resource stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Power Resource stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Power Resource stock over time.
Current vs Lagged Prices |
| Timeline |
Power Resource Lagged Returns
When evaluating Power Resource's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Power Resource stock have on its future price. Power Resource 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, Power Resource autocorrelation shows the relationship between Power Resource stock current value and its past values and can show if there is a momentum factor associated with investing in Power Resource Exploration.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Power Resource Explo is a strong investment it is important to analyze Power Resource's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Power Resource's future performance. For an informed investment choice regarding Power Stock, refer to the following important reports:Check out Power Resource Correlation, Power Resource Volatility and Power Resource Alpha and Beta module to complement your research on Power Resource. You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
Power Resource technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.