Silver Mountain Resources Stock Market Value
| AGMR Stock | 4.05 0.01 0.25% |
| Symbol | Silver |
Silver Mountain Resources Price To Book Ratio
Silver Mountain '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 Mountain's 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 Silver Mountain.
| 12/03/2025 |
| 01/02/2026 |
If you would invest 0.00 in Silver Mountain on December 3, 2025 and sell it all today you would earn a total of 0.00 from holding Silver Mountain Resources or generate 0.0% return on investment in Silver Mountain over 30 days. Silver Mountain is related to or competes with Thunder Mountain, P2 Gold, Astra Exploration, Silver Viper, Eastern Platinum, and Sonoro Gold. Silver Mountain is entity of Canada. It is traded as Stock on V exchange. More
Silver Mountain 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 Mountain's 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 Silver Mountain Resources upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.94 | |||
| Information Ratio | 0.0853 | |||
| Maximum Drawdown | 32.1 | |||
| Value At Risk | (8.86) | |||
| Potential Upside | 12.28 |
Silver Mountain Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Silver Mountain's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Silver Mountain's standard deviation. In reality, there are many statistical measures that can use Silver Mountain historical prices to predict the future Silver Mountain's volatility.| Risk Adjusted Performance | 0.0753 | |||
| Jensen Alpha | 0.536 | |||
| Total Risk Alpha | 0.1575 | |||
| Sortino Ratio | 0.0951 | |||
| Treynor Ratio | 0.3835 |
Silver Mountain Resources Backtested Returns
Silver Mountain appears to be very risky, given 3 months investment horizon. Silver Mountain Resources owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0745, which indicates the firm had a 0.0745 % return per unit of risk over the last 3 months. By inspecting Silver Mountain's technical indicators, you can evaluate if the expected return of 0.5% is justified by implied risk. Please review Silver Mountain's Risk Adjusted Performance of 0.0753, semi deviation of 5.7, and Coefficient Of Variation of 1062.36 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Silver Mountain holds a performance score of 5. The entity has a beta of 1.6, which indicates 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, Silver Mountain will likely underperform. Please check Silver Mountain's coefficient of variation, jensen alpha, sortino ratio, as well as the relationship between the information ratio and total risk alpha , to make a quick decision on whether Silver Mountain's existing price patterns will revert.
Auto-correlation | 0.64 |
Good predictability
Silver Mountain Resources has good predictability. Overlapping area represents the amount of predictability between Silver Mountain time series from 3rd of December 2025 to 18th of December 2025 and 18th of December 2025 to 2nd 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 Mountain Resources price movement. The serial correlation of 0.64 indicates that roughly 64.0% of current Silver Mountain price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.64 | |
| Spearman Rank Test | 0.75 | |
| Residual Average | 0.0 | |
| Price Variance | 0.14 |
Silver Mountain Resources lagged returns against current returns
Autocorrelation, which is Silver Mountain 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 Silver Mountain's stock expected returns. We can calculate the autocorrelation of Silver Mountain returns to help us make a trade decision. For example, suppose you find that Silver Mountain 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 |
Silver Mountain 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 Mountain stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Silver Mountain stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Silver Mountain stock over time.
Current vs Lagged Prices |
| Timeline |
Silver Mountain Lagged Returns
When evaluating Silver Mountain's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Silver Mountain stock have on its future price. Silver Mountain 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 Mountain autocorrelation shows the relationship between Silver Mountain stock current value and its past values and can show if there is a momentum factor associated with investing in Silver Mountain Resources.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Silver Stock Analysis
When running Silver Mountain's price analysis, check to measure Silver Mountain's 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 Silver Mountain is operating at the current time. Most of Silver Mountain's value examination focuses on studying past and present price action to predict the probability of Silver Mountain's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Silver Mountain's price. Additionally, you may evaluate how the addition of Silver Mountain to your portfolios can decrease your overall portfolio volatility.