Silver Sands Resources Stock Market Value
| SSRSF Stock | USD 0.08 0.01 8.57% |
| Symbol | Silver |
Silver Sands '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 Silver Sands' 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 Silver Sands.
| 12/14/2025 |
| 01/13/2026 |
If you would invest 0.00 in Silver Sands on December 14, 2025 and sell it all today you would earn a total of 0.00 from holding Silver Sands Resources or generate 0.0% return on investment in Silver Sands over 30 days. Silver Sands Resources Corp. engages in the acquisition and exploration of mineral resource properties in Canada More
Silver Sands 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 Silver Sands' 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 Silver Sands Resources upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 17.45 | |||
| Information Ratio | 0.0822 | |||
| Maximum Drawdown | 71.65 | |||
| Value At Risk | (19.61) | |||
| Potential Upside | 20.0 |
Silver Sands Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Silver Sands' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Silver Sands' standard deviation. In reality, there are many statistical measures that can use Silver Sands historical prices to predict the future Silver Sands' volatility.| Risk Adjusted Performance | 0.076 | |||
| Jensen Alpha | 1.18 | |||
| Total Risk Alpha | (0.37) | |||
| Sortino Ratio | 0.0619 | |||
| Treynor Ratio | (9.67) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Silver Sands' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Silver Sands Resources Backtested Returns
Silver Sands is out of control given 3 months investment horizon. Silver Sands Resources owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0882, which indicates the firm had a 0.0882 % return per unit of risk over the last 3 months. We are able to interpolate and collect twenty-seven different technical indicators, which can help you to evaluate if expected returns of 1.17% are justified by taking the suggested risk. Use Silver Sands Resources Risk Adjusted Performance of 0.076, coefficient of variation of 1116.88, and Semi Deviation of 7.97 to evaluate company specific risk that cannot be diversified away. Silver Sands holds a performance score of 7 on a scale of zero to a hundred. The entity has a beta of -0.12, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Silver Sands are expected to decrease at a much lower rate. During the bear market, Silver Sands is likely to outperform the market. Use Silver Sands Resources maximum drawdown, as well as the relationship between the expected short fall and day median price , to analyze future returns on Silver Sands Resources.
Auto-correlation | -0.35 |
Poor reverse predictability
Silver Sands Resources has poor reverse predictability. Overlapping area represents the amount of predictability between Silver Sands time series from 14th of December 2025 to 29th of December 2025 and 29th of December 2025 to 13th 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 Silver Sands Resources price movement. The serial correlation of -0.35 indicates that nearly 35.0% of current Silver Sands price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.35 | |
| Spearman Rank Test | -0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Silver Sands Resources lagged returns against current returns
Autocorrelation, which is Silver Sands 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 Silver Sands' pink sheet expected returns. We can calculate the autocorrelation of Silver Sands returns to help us make a trade decision. For example, suppose you find that Silver Sands 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 |
Silver Sands 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 Silver Sands pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Silver Sands pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Silver Sands pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Silver Sands Lagged Returns
When evaluating Silver Sands' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Silver Sands pink sheet have on its future price. Silver Sands 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, Silver Sands autocorrelation shows the relationship between Silver Sands pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Silver Sands Resources.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Silver Pink Sheet
Silver Sands financial ratios help investors to determine whether Silver 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 Silver with respect to the benefits of owning Silver Sands security.