Silvercorp Metals Stock Market Value
| SVM Stock | CAD 6.09 0.25 3.94% |
| Symbol | Silvercorp |
Silvercorp Metals Price To Book Ratio
Silvercorp Metals '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 Silvercorp Metals' 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 Silvercorp Metals.
| 04/21/2025 |
| 07/20/2025 |
If you would invest 0.00 in Silvercorp Metals on April 21, 2025 and sell it all today you would earn a total of 0.00 from holding Silvercorp Metals or generate 0.0% return on investment in Silvercorp Metals over 90 days. Silvercorp Metals is related to or competes with Silvercorp Metals, MAG Silver, Dolly Varden, Aya Gold, Endeavour Silver, Fortuna Silver, and Pan American. Silvercorp Metals Inc., together with its subsidiaries, engages in the acquisition, exploration, development, and mining... More
Silvercorp Metals 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 Silvercorp Metals' 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 Silvercorp Metals upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.29 | |||
| Information Ratio | 0.038 | |||
| Maximum Drawdown | 18.03 | |||
| Value At Risk | (5.31) | |||
| Potential Upside | 6.35 |
Silvercorp Metals Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Silvercorp Metals' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Silvercorp Metals' standard deviation. In reality, there are many statistical measures that can use Silvercorp Metals historical prices to predict the future Silvercorp Metals' volatility.| Risk Adjusted Performance | 0.081 | |||
| Jensen Alpha | 0.1295 | |||
| Total Risk Alpha | (0.22) | |||
| Sortino Ratio | 0.0397 | |||
| Treynor Ratio | 0.259 |
Silvercorp Metals Backtested Returns
Silvercorp Metals appears to be moderately volatile, given 3 months investment horizon. Silvercorp Metals owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0828, which indicates the firm had a 0.0828 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Silvercorp Metals, which you can use to evaluate the volatility of the company. Please review Silvercorp Metals' Coefficient Of Variation of 1266.15, semi deviation of 3.0, and Risk Adjusted Performance of 0.081 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Silvercorp Metals holds a performance score of 6. The entity has a beta of 1.01, which indicates a somewhat significant risk relative to the market. Silvercorp Metals returns are very sensitive to returns on the market. As the market goes up or down, Silvercorp Metals is expected to follow. Please check Silvercorp Metals' treynor ratio, kurtosis, period momentum indicator, as well as the relationship between the downside variance and day median price , to make a quick decision on whether Silvercorp Metals' existing price patterns will revert.
Auto-correlation | 0.38 |
Below average predictability
Silvercorp Metals has below average predictability. Overlapping area represents the amount of predictability between Silvercorp Metals time series from 21st of April 2025 to 5th of June 2025 and 5th of June 2025 to 20th of July 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 Silvercorp Metals price movement. The serial correlation of 0.38 indicates that just about 38.0% of current Silvercorp Metals price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.38 | |
| Spearman Rank Test | 0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 0.17 |
Silvercorp Metals lagged returns against current returns
Autocorrelation, which is Silvercorp Metals 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 Silvercorp Metals' stock expected returns. We can calculate the autocorrelation of Silvercorp Metals returns to help us make a trade decision. For example, suppose you find that Silvercorp Metals 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 |
Silvercorp Metals 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 Silvercorp Metals stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Silvercorp Metals stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Silvercorp Metals stock over time.
Current vs Lagged Prices |
| Timeline |
Silvercorp Metals Lagged Returns
When evaluating Silvercorp Metals' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Silvercorp Metals stock have on its future price. Silvercorp Metals 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, Silvercorp Metals autocorrelation shows the relationship between Silvercorp Metals stock current value and its past values and can show if there is a momentum factor associated with investing in Silvercorp Metals.
Regressed Prices |
| Timeline |
Pair Trading with Silvercorp Metals
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Silvercorp Metals position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Silvercorp Metals will appreciate offsetting losses from the drop in the long position's value.Moving together with Silvercorp Stock
| 0.9 | AG | First Majestic Silver | PairCorr |
| 0.86 | IE | Ivanhoe Energy | PairCorr |
| 0.75 | FDY | Faraday Copper Corp | PairCorr |
Moving against Silvercorp Stock
| 0.86 | BRK | Berkshire Hathaway CDR | PairCorr |
| 0.73 | FDR | Flinders Resources Earnings Call This Week | PairCorr |
| 0.42 | INFM | Infinico Metals Corp | PairCorr |
The ability to find closely correlated positions to Silvercorp Metals could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Silvercorp Metals when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Silvercorp Metals - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Silvercorp Metals to buy it.
The correlation of Silvercorp Metals is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Silvercorp Metals moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Silvercorp Metals moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Silvercorp Metals can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Silvercorp Metals Correlation, Silvercorp Metals Volatility and Silvercorp Metals Alpha and Beta module to complement your research on Silvercorp Metals. To learn how to invest in Silvercorp Stock, please use our How to Invest in Silvercorp Metals guide.You can also try the Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
Silvercorp Metals technical stock 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, stock market cycles, or different charting patterns.