Ssr Mining Stock Market Value
| SSRM Stock | CAD 8.27 0.12 1.43% |
| Symbol | SSR |
SSR Mining Price To Book Ratio
SSR Mining '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 SSR Mining'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 SSR Mining.
| 10/23/2024 |
| 11/22/2024 |
If you would invest 0.00 in SSR Mining on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding SSR Mining or generate 0.0% return on investment in SSR Mining over 30 days. SSR Mining is related to or competes with Pan American, MAG Silver, Osisko Gold, Sandstorm Gold, and Endeavour Mining. SSR Mining Inc., together with its subsidiaries, engages in the acquisition, exploration, development, and operation of ... More
SSR Mining 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 SSR Mining'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 SSR Mining upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.48 | |||
| Information Ratio | 0.0393 | |||
| Maximum Drawdown | 23.54 | |||
| Value At Risk | (4.80) | |||
| Potential Upside | 5.48 |
SSR Mining Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SSR Mining's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SSR Mining's standard deviation. In reality, there are many statistical measures that can use SSR Mining historical prices to predict the future SSR Mining's volatility.| Risk Adjusted Performance | 0.0608 | |||
| Jensen Alpha | 0.1924 | |||
| Total Risk Alpha | (0.23) | |||
| Sortino Ratio | 0.0412 | |||
| Treynor Ratio | 0.4812 |
SSR Mining Backtested Returns
SSR Mining appears to be slightly risky, given 3 months investment horizon. SSR Mining owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0647, which indicates the firm had a 0.0647% return per unit of standard deviation over the last 3 months. We have found twenty-eight technical indicators for SSR Mining, which you can use to evaluate the volatility of the company. Please review SSR Mining's risk adjusted performance of 0.0608, and Coefficient Of Variation of 1441.77 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, SSR Mining holds a performance score of 5. The entity has a beta of 0.5, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SSR Mining's returns are expected to increase less than the market. However, during the bear market, the loss of holding SSR Mining is expected to be smaller as well. Please check SSR Mining's sortino ratio, maximum drawdown, potential upside, as well as the relationship between the treynor ratio and value at risk , to make a quick decision on whether SSR Mining's existing price patterns will revert.
Auto-correlation | -0.64 |
Very good reverse predictability
SSR Mining has very good reverse predictability. Overlapping area represents the amount of predictability between SSR Mining time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 to 22nd 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 SSR Mining price movement. The serial correlation of -0.64 indicates that roughly 64.0% of current SSR Mining price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.64 | |
| Spearman Rank Test | -0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
SSR Mining lagged returns against current returns
Autocorrelation, which is SSR Mining 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 SSR Mining's stock expected returns. We can calculate the autocorrelation of SSR Mining returns to help us make a trade decision. For example, suppose you find that SSR Mining 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 |
SSR Mining 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 SSR Mining stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SSR Mining stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SSR Mining stock over time.
Current vs Lagged Prices |
| Timeline |
SSR Mining Lagged Returns
When evaluating SSR Mining's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SSR Mining stock have on its future price. SSR Mining 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, SSR Mining autocorrelation shows the relationship between SSR Mining stock current value and its past values and can show if there is a momentum factor associated with investing in SSR Mining.
Regressed Prices |
| Timeline |
Pair Trading with SSR Mining
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 SSR Mining 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 SSR Mining will appreciate offsetting losses from the drop in the long position's value.Moving together with SSR Stock
| 0.91 | AG | First Majestic Silver | PairCorr |
| 0.73 | IE | Ivanhoe Energy | PairCorr |
| 0.67 | FDY | Faraday Copper Corp | PairCorr |
Moving against SSR Stock
The ability to find closely correlated positions to SSR Mining could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SSR Mining 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 SSR Mining - 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 SSR Mining to buy it.
The correlation of SSR Mining 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 SSR Mining moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SSR Mining 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 SSR Mining 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 SSR Mining Correlation, SSR Mining Volatility and SSR Mining Alpha and Beta module to complement your research on SSR Mining. To learn how to invest in SSR Stock, please use our How to Invest in SSR Mining guide.You can also try the Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.
SSR Mining 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.