Sarama Resources Stock Market Value
| SRMMF Stock | USD 0 0.02 92.38% |
| Symbol | Sarama |
Sarama 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 Sarama 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 Sarama Resources.
| 12/30/2024 |
| 02/28/2025 |
If you would invest 0.00 in Sarama Resources on December 30, 2024 and sell it all today you would earn a total of 0.00 from holding Sarama Resources or generate 0.0% return on investment in Sarama Resources over 60 days. Sarama Resources is related to or competes with Rupert Resources, Cerrado Gold, Cassiar Gold, Robex Resources, Coeur Mining, Equinox Gold, and B2Gold Corp. Sarama Resources Ltd, an exploration stage company, engages in the sourcing, exploration, and development of gold deposi... More
Sarama 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 Sarama 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 Sarama Resources upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.1) | |||
| Maximum Drawdown | 117.38 | |||
| Value At Risk | (10.50) | |||
| Potential Upside | 4.17 |
Sarama Resources Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sarama Resources' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sarama Resources' standard deviation. In reality, there are many statistical measures that can use Sarama Resources historical prices to predict the future Sarama Resources' volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (1.34) | |||
| Total Risk Alpha | (0.89) | |||
| Treynor Ratio | 0.55 |
Sarama Resources Backtested Returns
Sarama Resources owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.1, which indicates the firm had a -0.1 % return per unit of risk over the last 3 months. Sarama Resources exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Sarama Resources' Variance of 160.7, coefficient of variation of (995.28), and Risk Adjusted Performance of (0.06) to confirm the risk estimate we provide. The entity has a beta of -2.33, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Sarama Resources are expected to decrease by larger amounts. On the other hand, during market turmoil, Sarama Resources is expected to outperform it. At this point, Sarama Resources has a negative expected return of -1.27%. Please make sure to validate Sarama Resources' treynor ratio, kurtosis, as well as the relationship between the Kurtosis and day typical price , to decide if Sarama Resources performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.06 |
Very weak reverse predictability
Sarama Resources has very weak reverse predictability. Overlapping area represents the amount of predictability between Sarama Resources time series from 30th of December 2024 to 29th of January 2025 and 29th of January 2025 to 28th of February 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 Sarama Resources price movement. The serial correlation of -0.06 indicates that barely 6.0% of current Sarama Resources price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.06 | |
| Spearman Rank Test | -0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Sarama Resources lagged returns against current returns
Autocorrelation, which is Sarama 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 Sarama Resources' pink sheet expected returns. We can calculate the autocorrelation of Sarama Resources returns to help us make a trade decision. For example, suppose you find that Sarama 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 |
Sarama 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 Sarama Resources pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sarama 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 Sarama Resources pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Sarama Resources Lagged Returns
When evaluating Sarama Resources' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sarama Resources pink sheet have on its future price. Sarama 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, Sarama Resources autocorrelation shows the relationship between Sarama Resources pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Sarama Resources.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Sarama Pink Sheet
Sarama Resources financial ratios help investors to determine whether Sarama 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 Sarama with respect to the benefits of owning Sarama Resources security.