Camrova Resources Stock Market Value
| BAJFF Stock | USD 0.0001 0.00 0.00% |
| Symbol | Camrova |
Camrova Resources '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 Camrova Resources' 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 Camrova Resources.
| 05/16/2024 |
| 12/12/2024 |
If you would invest 0.00 in Camrova Resources on May 16, 2024 and sell it all today you would earn a total of 0.00 from holding Camrova Resources or generate 0.0% return on investment in Camrova Resources over 210 days. Camrova Resources is related to or competes with Acme United, Ainsworth Game, Skechers USA, NetEase, Beauty Health, and Estee Lauder. Camrova Resources Inc., a mining company, engages in the acquisition, exploration, and development of resource propertie... More
Camrova Resources 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 Camrova Resources' 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 Camrova Resources upside and downside potential and time the market with a certain degree of confidence.
Camrova Resources Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Camrova Resources' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Camrova Resources' standard deviation. In reality, there are many statistical measures that can use Camrova Resources historical prices to predict the future Camrova Resources' volatility.Camrova Resources Backtested Returns
Camrova Resources secures Sharpe Ratio (or Efficiency) of 0.11, which signifies that the company had a 0.11% return per unit of risk over the last 3 months. We were able to analyze and collect data for three different technical indicators, which can help you to evaluate if expected returns of 14.29% are justified by taking the suggested risk. The firm shows a Beta (market volatility) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and Camrova Resources are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Camrova Resources has no correlation between past and present. Overlapping area represents the amount of predictability between Camrova Resources time series from 16th of May 2024 to 29th of August 2024 and 29th of August 2024 to 12th 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 Camrova Resources price movement. The serial correlation of 0.0 indicates that just 0.0% of current Camrova Resources price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.99 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Camrova Resources lagged returns against current returns
Autocorrelation, which is Camrova Resources 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 Camrova Resources' pink sheet expected returns. We can calculate the autocorrelation of Camrova Resources returns to help us make a trade decision. For example, suppose you find that Camrova Resources 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 |
Camrova Resources 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 Camrova Resources pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Camrova Resources pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Camrova Resources pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Camrova Resources Lagged Returns
When evaluating Camrova Resources' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Camrova Resources pink sheet have on its future price. Camrova Resources 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, Camrova Resources autocorrelation shows the relationship between Camrova Resources pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Camrova Resources.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Camrova Pink Sheet
Camrova Resources financial ratios help investors to determine whether Camrova 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 Camrova with respect to the benefits of owning Camrova Resources security.