Sprott Inc Stock Market Value
| SII Stock | CAD 61.23 0.95 1.58% |
| Symbol | Sprott |
Sprott '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'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 Sprott.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Sprott on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding Sprott Inc or generate 0.0% return on investment in Sprott over 90 days. Sprott is related to or competes with Sandstorm Gold, Seabridge Gold, Osisko Gold, and Altius Minerals. Sprott Inc. is a publicly owned asset management holding company More
Sprott 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'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 Sprott Inc upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0495 | |||
| Maximum Drawdown | 8.81 | |||
| Value At Risk | (3.08) | |||
| Potential Upside | 2.7 |
Sprott Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sprott's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sprott's standard deviation. In reality, there are many statistical measures that can use Sprott historical prices to predict the future Sprott's volatility.| Jensen Alpha | 0.0648 | |||
| Total Risk Alpha | 0.2038 | |||
| Treynor Ratio | (0.03) |
Sprott Inc Backtested Returns
Sprott Inc owns Efficiency Ratio (i.e., Sharpe Ratio) of close to zero, which indicates the firm had a close to zero % return per unit of risk over the last 3 months. Sprott Inc exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Sprott's variance of 3.21, and Coefficient Of Variation of (17,093) to confirm the risk estimate we provide. The entity has a beta of 0.78, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Sprott's returns are expected to increase less than the market. However, during the bear market, the loss of holding Sprott is expected to be smaller as well. At this point, Sprott Inc has a negative expected return of -0.0103%. Please make sure to validate Sprott's kurtosis, as well as the relationship between the day median price and period momentum indicator , to decide if Sprott Inc performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.04 |
Very weak reverse predictability
Sprott Inc has very weak reverse predictability. Overlapping area represents the amount of predictability between Sprott time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 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 Inc price movement. The serial correlation of -0.04 indicates that only as little as 4.0% of current Sprott price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.04 | |
| Spearman Rank Test | 0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 0.93 |
Sprott Inc lagged returns against current returns
Autocorrelation, which is Sprott 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 Sprott's stock expected returns. We can calculate the autocorrelation of Sprott returns to help us make a trade decision. For example, suppose you find that Sprott 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 |
Sprott 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 stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sprott stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sprott stock over time.
Current vs Lagged Prices |
| Timeline |
Sprott Lagged Returns
When evaluating Sprott's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sprott stock have on its future price. Sprott 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 autocorrelation shows the relationship between Sprott stock current value and its past values and can show if there is a momentum factor associated with investing in Sprott Inc.
Regressed Prices |
| Timeline |
Pair Trading with Sprott
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 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 will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Sprott 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 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 - 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 Inc to buy it.
The correlation of Sprott 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 moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Sprott Inc 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 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 Correlation, Sprott Volatility and Sprott Alpha and Beta module to complement your research on Sprott. You can also try the CEOs Directory module to screen CEOs from public companies around the world.
Sprott 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.