Geomega Resources Stock Market Value
| GMA Stock | CAD 0.38 0.02 5.00% |
| Symbol | Geomega |
Geomega Resources Price To Book Ratio
Geomega 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 Geomega Resources' 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 Geomega Resources.
| 12/12/2025 |
| 01/11/2026 |
If you would invest 0.00 in Geomega Resources on December 12, 2025 and sell it all today you would earn a total of 0.00 from holding Geomega Resources or generate 0.0% return on investment in Geomega Resources over 30 days. Geomega Resources is related to or competes with West High, Midland Exploration, Pan Global, Namibia Critical, Arianne Phosphate, Lithium South, and Century Lithium. GoMgA Resources Inc. engages in the acquisition, exploration, and evaluation of mining properties in Canada More
Geomega 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 Geomega Resources' 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 Geomega Resources upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 6.29 | |||
| Information Ratio | 0.0346 | |||
| Maximum Drawdown | 43.99 | |||
| Value At Risk | (8.70) | |||
| Potential Upside | 10.71 |
Geomega Resources Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Geomega Resources' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Geomega Resources' standard deviation. In reality, there are many statistical measures that can use Geomega Resources historical prices to predict the future Geomega Resources' volatility.| Risk Adjusted Performance | 0.0457 | |||
| Jensen Alpha | 0.2102 | |||
| Total Risk Alpha | (0.41) | |||
| Sortino Ratio | 0.0344 | |||
| Treynor Ratio | 0.2805 |
Geomega Resources Backtested Returns
Geomega Resources holds Efficiency (Sharpe) Ratio of -0.0329, which attests that the entity had a -0.0329 % return per unit of risk over the last 3 months. Geomega Resources exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Geomega Resources' Market Risk Adjusted Performance of 0.2905, downside deviation of 6.29, and Risk Adjusted Performance of 0.0457 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 1.07, which attests to a somewhat significant risk relative to the market. Geomega Resources returns are very sensitive to returns on the market. As the market goes up or down, Geomega Resources is expected to follow. At this point, Geomega Resources has a negative expected return of -0.17%. Please make sure to check out Geomega Resources' semi variance, rate of daily change, and the relationship between the value at risk and kurtosis , to decide if Geomega Resources performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.29 |
Weak reverse predictability
Geomega Resources has weak reverse predictability. Overlapping area represents the amount of predictability between Geomega Resources time series from 12th of December 2025 to 27th of December 2025 and 27th of December 2025 to 11th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Geomega Resources price movement. The serial correlation of -0.29 indicates that nearly 29.0% of current Geomega Resources price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.29 | |
| Spearman Rank Test | 0.09 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Geomega Resources lagged returns against current returns
Autocorrelation, which is Geomega Resources 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 Geomega Resources' stock expected returns. We can calculate the autocorrelation of Geomega Resources returns to help us make a trade decision. For example, suppose you find that Geomega Resources 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 |
Geomega 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 Geomega Resources stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Geomega Resources stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Geomega Resources stock over time.
Current vs Lagged Prices |
| Timeline |
Geomega Resources Lagged Returns
When evaluating Geomega Resources' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Geomega Resources stock have on its future price. Geomega 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, Geomega Resources autocorrelation shows the relationship between Geomega Resources stock current value and its past values and can show if there is a momentum factor associated with investing in Geomega Resources.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Geomega Stock Analysis
When running Geomega Resources' price analysis, check to measure Geomega Resources' 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 Geomega Resources is operating at the current time. Most of Geomega Resources' value examination focuses on studying past and present price action to predict the probability of Geomega Resources' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Geomega Resources' price. Additionally, you may evaluate how the addition of Geomega Resources to your portfolios can decrease your overall portfolio volatility.