Silver Mines (Australia) Market Value
| SVL Stock | 0.1 0 3.00% |
| 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' 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 Mines.
| 06/08/2023 |
| 11/29/2024 |
If you would invest 0.00 in Silver Mines on June 8, 2023 and sell it all today you would earn a total of 0.00 from holding Silver Mines or generate 0.0% return on investment in Silver Mines over 540 days. Silver Mines is related to or competes with Northern Star, Evolution Mining, Bluescope Steel, and De Grey. Silver Mines is entity of Australia. It is traded as Stock on AU exchange. 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' 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 Mines upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 7.8 | |||
| Information Ratio | 0.0179 | |||
| Maximum Drawdown | 33.38 | |||
| Value At Risk | (12.73) | |||
| Potential Upside | 11.11 |
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 | 0.036 | |||
| Jensen Alpha | 0.456 | |||
| Total Risk Alpha | (0.84) | |||
| Sortino Ratio | 0.0164 | |||
| Treynor Ratio | (0.13) |
Silver Mines Backtested Returns
Silver Mines appears to be out of control, given 3 months investment horizon. Silver Mines owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.029, which indicates the firm had a 0.029% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Silver Mines, which you can use to evaluate the volatility of the company. Please review Silver Mines' Coefficient Of Variation of 2829.75, risk adjusted performance of 0.036, and Semi Deviation of 6.07 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Silver Mines holds a performance score of 2. The entity has a beta of -1.84, 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. Please check Silver Mines' sortino ratio, maximum drawdown, and the relationship between the total risk alpha and treynor ratio , to make a quick decision on whether Silver Mines' existing price patterns will revert.
Auto-correlation | 0.61 |
Good predictability
Silver Mines has good predictability. Overlapping area represents the amount of predictability between Silver Mines time series from 8th of June 2023 to 4th of March 2024 and 4th of March 2024 to 29th of November 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 price movement. The serial correlation of 0.61 indicates that roughly 61.0% of current Silver Mines price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.61 | |
| Spearman Rank Test | 0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Silver Mines lagged returns against current returns
Autocorrelation, which is Silver Mines 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 Mines' stock 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 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 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 stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Silver Mines stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Silver Mines stock 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 stock 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 stock current value and its past values and can show if there is a momentum factor associated with investing in Silver Mines.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Silver Stock 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.