Sprott Silver Miners Etf Market Value
| SLVR Etf | USD 30.15 0.04 0.13% |
| Symbol | Sprott |
The market value of Sprott Silver Miners is measured differently than its book value, which is the value of Sprott that is recorded on the company's balance sheet. Investors also form their own opinion of Sprott Silver's value that differs from its market value or its book value, called intrinsic value, which is Sprott Silver's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Sprott Silver's market value can be influenced by many factors that don't directly affect Sprott Silver's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Sprott Silver's value and its price as these two are different measures arrived at by different means. Investors typically determine if Sprott Silver is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Sprott Silver's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Sprott Silver '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 Sprott Silver's etf 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 Sprott Silver.
| 05/06/2025 |
| 08/04/2025 |
If you would invest 0.00 in Sprott Silver on May 6, 2025 and sell it all today you would earn a total of 0.00 from holding Sprott Silver Miners or generate 0.0% return on investment in Sprott Silver over 90 days. Sprott Silver is related to or competes with RiverNorth Managed, RiverNorth Flexible, Rivernorth Opportunistic, NXG NextGen, RiverNorth Flexible, and Nuveen Dynamic. The company focuses on effecting a merger, capital stock exchange, asset acquisition, stock purchase, reorganization, or... More
Sprott Silver 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 Sprott Silver's etf 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 Sprott Silver Miners upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.21 | |||
| Information Ratio | 0.1199 | |||
| Maximum Drawdown | 10.82 | |||
| Value At Risk | (3.48) | |||
| Potential Upside | 4.64 |
Sprott Silver Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sprott Silver's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sprott Silver's standard deviation. In reality, there are many statistical measures that can use Sprott Silver historical prices to predict the future Sprott Silver's volatility.| Risk Adjusted Performance | 0.1378 | |||
| Jensen Alpha | 0.458 | |||
| Total Risk Alpha | 0.0756 | |||
| Sortino Ratio | 0.1323 | |||
| Treynor Ratio | (0.66) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Sprott Silver's 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.
Sprott Silver Miners Backtested Returns
Sprott Silver appears to be very steady, given 3 months investment horizon. Sprott Silver Miners owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.16, which indicates the etf had a 0.16 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Sprott Silver Miners, which you can use to evaluate the volatility of the etf. Please review Sprott Silver's Coefficient Of Variation of 600.87, risk adjusted performance of 0.1378, and Semi Deviation of 1.87 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of -0.6, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Sprott Silver are expected to decrease at a much lower rate. During the bear market, Sprott Silver is likely to outperform the market.
Auto-correlation | 0.49 |
Average predictability
Sprott Silver Miners has average predictability. Overlapping area represents the amount of predictability between Sprott Silver time series from 6th of May 2025 to 20th of June 2025 and 20th of June 2025 to 4th of August 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 Sprott Silver Miners price movement. The serial correlation of 0.49 indicates that about 49.0% of current Sprott Silver price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.49 | |
| Spearman Rank Test | 0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 2.12 |
Sprott Silver Miners lagged returns against current returns
Autocorrelation, which is Sprott Silver etf'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 Sprott Silver's etf expected returns. We can calculate the autocorrelation of Sprott Silver returns to help us make a trade decision. For example, suppose you find that Sprott Silver has exhibited high autocorrelation historically, and you observe that the etf 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 |
Sprott Silver 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 Sprott Silver etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sprott Silver etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sprott Silver etf over time.
Current vs Lagged Prices |
| Timeline |
Sprott Silver Lagged Returns
When evaluating Sprott Silver's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sprott Silver etf have on its future price. Sprott Silver 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, Sprott Silver autocorrelation shows the relationship between Sprott Silver etf current value and its past values and can show if there is a momentum factor associated with investing in Sprott Silver Miners.
Regressed Prices |
| Timeline |
Pair Trading with Sprott Silver
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 Sprott Silver 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 Sprott Silver will appreciate offsetting losses from the drop in the long position's value.Moving together with Sprott Etf
Moving against Sprott Etf
The ability to find closely correlated positions to Sprott Silver could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Sprott Silver 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 Sprott Silver - 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 Sprott Silver Miners to buy it.
The correlation of Sprott Silver 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 Sprott Silver moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Sprott Silver Miners 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 Sprott Silver 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 Sprott Silver Correlation, Sprott Silver Volatility and Sprott Silver Alpha and Beta module to complement your research on Sprott Silver. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Sprott Silver technical etf 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, etf market cycles, or different charting patterns.