Bcm Resources Stock Market Value
| BCMRF Stock | USD 0.03 0.01 16.67% |
| Symbol | BCM |
BCM 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 BCM 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 BCM Resources.
| 08/28/2024 |
| 11/26/2024 |
If you would invest 0.00 in BCM Resources on August 28, 2024 and sell it all today you would earn a total of 0.00 from holding BCM Resources or generate 0.0% return on investment in BCM Resources over 90 days. BCM Resources is related to or competes with Mundoro Capital. BCM Resources Corporation engages in the acquisition, exploration, development, and mining of mineral properties in Cana... More
BCM 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 BCM 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 BCM Resources upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 78.09 | |||
| Value At Risk | (17.53) | |||
| Potential Upside | 20.0 |
BCM Resources Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BCM Resources' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BCM Resources' standard deviation. In reality, there are many statistical measures that can use BCM Resources historical prices to predict the future BCM Resources' volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.67) | |||
| Total Risk Alpha | (1.94) | |||
| Treynor Ratio | (0.14) |
BCM Resources Backtested Returns
BCM Resources secures Sharpe Ratio (or Efficiency) of -0.0149, which signifies that the company had a -0.0149% return per unit of return volatility over the last 3 months. BCM Resources exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm BCM Resources' Standard Deviation of 10.13, variance of 102.69, and Mean Deviation of 4.2 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 2.58, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, BCM Resources will likely underperform. At this point, BCM Resources has a negative expected return of -0.15%. Please make sure to confirm BCM Resources' total risk alpha, as well as the relationship between the kurtosis and day typical price , to decide if BCM Resources performance from the past will be repeated in the future.
Auto-correlation | -0.39 |
Poor reverse predictability
BCM Resources has poor reverse predictability. Overlapping area represents the amount of predictability between BCM Resources time series from 28th of August 2024 to 12th of October 2024 and 12th of October 2024 to 26th 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 BCM Resources price movement. The serial correlation of -0.39 indicates that just about 39.0% of current BCM Resources price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.39 | |
| Spearman Rank Test | -0.36 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
BCM Resources lagged returns against current returns
Autocorrelation, which is BCM 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 BCM Resources' pink sheet expected returns. We can calculate the autocorrelation of BCM Resources returns to help us make a trade decision. For example, suppose you find that BCM 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 |
BCM 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 BCM Resources pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if BCM 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 BCM Resources pink sheet over time.
Current vs Lagged Prices |
| Timeline |
BCM Resources Lagged Returns
When evaluating BCM Resources' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of BCM Resources pink sheet have on its future price. BCM 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, BCM Resources autocorrelation shows the relationship between BCM Resources pink sheet current value and its past values and can show if there is a momentum factor associated with investing in BCM Resources.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in BCM Pink Sheet
BCM Resources financial ratios help investors to determine whether BCM 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 BCM with respect to the benefits of owning BCM Resources security.