Gcm Resources Plc Stock Market Value
| GCLMF Stock | USD 0.01 0.00 0.00% |
| Symbol | GCM |
GCM 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 GCM 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 GCM Resources.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in GCM Resources on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding GCM Resources Plc or generate 0.0% return on investment in GCM Resources over 90 days. GCM Resources is related to or competes with NACCO Industries, Alliance Resource, Hallador Energy, Indo Tambangraya, Peabody Energy, and Natural Resource. GCM Resources Plc, together with its subsidiaries, operates as a resource exploration and development company More
GCM 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 GCM 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 GCM Resources Plc upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 91.67 |
GCM Resources Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GCM Resources' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GCM Resources' standard deviation. In reality, there are many statistical measures that can use GCM Resources historical prices to predict the future GCM Resources' volatility.| Risk Adjusted Performance | (0.1) | |||
| Jensen Alpha | (1.22) | |||
| Total Risk Alpha | 0.0143 | |||
| Treynor Ratio | (0.86) |
GCM Resources Plc Backtested Returns
GCM Resources Plc holds Efficiency (Sharpe) Ratio of -0.13, which attests that the company had a -0.13 % return per unit of risk over the last 3 months. GCM Resources Plc exposes sixteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out GCM Resources' coefficient of variation of (812.40), and Standard Deviation of 11.28 to validate the risk estimate we provide. The firm retains a Market Volatility (i.e., Beta) of 1.63, which attests to 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, GCM Resources will likely underperform. At this point, GCM Resources Plc has a negative expected return of -1.53%. Please make sure to check out GCM Resources' variance, skewness, as well as the relationship between the Skewness and day typical price , to decide if GCM Resources Plc performance from the past will be repeated in the future.
Auto-correlation | 0.00 |
No correlation between past and present
GCM Resources Plc has no correlation between past and present. Overlapping area represents the amount of predictability between GCM Resources time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th of March 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 GCM Resources Plc price movement. The serial correlation of 0.0 indicates that just 0.0% of current GCM Resources price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | -0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
GCM Resources Plc lagged returns against current returns
Autocorrelation, which is GCM 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 GCM Resources' pink sheet expected returns. We can calculate the autocorrelation of GCM Resources returns to help us make a trade decision. For example, suppose you find that GCM 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 |
GCM 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 GCM Resources pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GCM 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 GCM Resources pink sheet over time.
Current vs Lagged Prices |
| Timeline |
GCM Resources Lagged Returns
When evaluating GCM Resources' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GCM Resources pink sheet have on its future price. GCM 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, GCM Resources autocorrelation shows the relationship between GCM Resources pink sheet current value and its past values and can show if there is a momentum factor associated with investing in GCM Resources Plc.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in GCM Pink Sheet
GCM Resources financial ratios help investors to determine whether GCM 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 GCM with respect to the benefits of owning GCM Resources security.