Silver Mines Limited Stock Market Value
| SLVMF Stock | USD 0.12 0.03 20.00% |
| Symbol | Silver |
Silver Mines '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 Mines' 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 Mines.
| 03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Silver Mines on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding Silver Mines Limited or generate 0.0% return on investment in Silver Mines over 30 days. Silver Mines is related to or competes with Pan American, First Majestic, MAG Silver, Silvercorp Metals, Dolly Varden, and Andean Precious. Silver Mines Limited primarily engages in the acquisition, exploration, and development of silver projects in Australia More
Silver Mines 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 Mines' 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 Mines Limited upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 35.28 | |||
| Information Ratio | 0.135 | |||
| Maximum Drawdown | 163.6 | |||
| Value At Risk | (31.64) | |||
| Potential Upside | 32.98 |
Silver Mines Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Silver Mines' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Silver Mines' standard deviation. In reality, there are many statistical measures that can use Silver Mines historical prices to predict the future Silver Mines' volatility.| Risk Adjusted Performance | 0.0951 | |||
| Jensen Alpha | 3.4 | |||
| Total Risk Alpha | 0.2278 | |||
| Sortino Ratio | 0.0908 | |||
| Treynor Ratio | (2.14) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Silver Mines' 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 Mines Limited Backtested Returns
Silver Mines is out of control given 3 months investment horizon. Silver Mines Limited owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.13, which indicates the firm had a 0.13% return per unit of risk over the last 3 months. We have collected data for twenty-eight different technical indicators, which can help you to evaluate if expected returns of 3.13% are justified by taking the suggested risk. Use Silver Mines Limited Risk Adjusted Performance of 0.0951, semi deviation of 11.51, and Coefficient Of Variation of 720.93 to evaluate company specific risk that cannot be diversified away. Silver Mines holds a performance score of 10 on a scale of zero to a hundred. The entity has a beta of -1.53, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Silver Mines are expected to decrease by larger amounts. On the other hand, during market turmoil, Silver Mines is expected to outperform it. Use Silver Mines Limited treynor ratio and the relationship between the downside variance and day median price , to analyze future returns on Silver Mines Limited.
Auto-correlation | 0.65 |
Good predictability
Silver Mines Limited has good predictability. Overlapping area represents the amount of predictability between Silver Mines time series from 24th of March 2024 to 8th of April 2024 and 8th of April 2024 to 23rd of April 2024. 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 Mines Limited price movement. The serial correlation of 0.65 indicates that roughly 65.0% of current Silver Mines price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.65 | |
| Spearman Rank Test | 0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Silver Mines Limited lagged returns against current returns
Autocorrelation, which is Silver Mines 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 Mines' pink sheet expected returns. We can calculate the autocorrelation of Silver Mines returns to help us make a trade decision. For example, suppose you find that Silver Mines 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 Mines 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 Mines pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Silver Mines 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 Mines pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Silver Mines Lagged Returns
When evaluating Silver Mines' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Silver Mines pink sheet have on its future price. Silver Mines 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 Mines autocorrelation shows the relationship between Silver Mines pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Silver Mines Limited.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Silver Mines in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Silver Mines' short interest history, or implied volatility extrapolated from Silver Mines options trading.
Currently Active Assets on Macroaxis
Check out Silver Mines Correlation, Silver Mines Volatility and Silver Mines Alpha and Beta module to complement your research on Silver Mines. You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
Complementary Tools for Silver Pink Sheet analysis
When running Silver Mines' price analysis, check to measure Silver Mines' 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 Mines is operating at the current time. Most of Silver Mines' value examination focuses on studying past and present price action to predict the probability of Silver Mines' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Silver Mines' price. Additionally, you may evaluate how the addition of Silver Mines to your portfolios can decrease your overall portfolio volatility.
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Silver Mines technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.