Ssr Mining Stock Market Value
| SSRM Stock | USD 6.95 0.08 1.16% |
| Symbol | SSR |
SSR Mining Price To Book Ratio
Is Metals & Mining space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of SSR Mining. If investors know SSR will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about SSR Mining listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.29) | Earnings Share (2.38) | Revenue Per Share 5.423 | Quarterly Revenue Growth (0.33) | Return On Assets (0.02) |
The market value of SSR Mining is measured differently than its book value, which is the value of SSR that is recorded on the company's balance sheet. Investors also form their own opinion of SSR Mining's value that differs from its market value or its book value, called intrinsic value, which is SSR Mining'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 SSR Mining's market value can be influenced by many factors that don't directly affect SSR Mining'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 SSR Mining's value and its price as these two are different measures arrived at by different means. Investors typically determine if SSR Mining is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SSR Mining'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.
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.
| 11/23/2024 |
| 12/23/2024 |
If you would invest 0.00 in SSR Mining on November 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 Centerra Gold, Gold Fields, Eldorado Gold, Osisko Gold, Royal Gold, Sandstorm Gold, and DRDGOLD Limited. 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 | 3.49 | |||
| Information Ratio | 0.0791 | |||
| Maximum Drawdown | 21.22 | |||
| Value At Risk | (4.86) | |||
| Potential Upside | 7.22 |
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 | 0.0772 | |||
| Jensen Alpha | 0.319 | |||
| Total Risk Alpha | 0.2227 | |||
| Sortino Ratio | 0.0889 | |||
| Treynor Ratio | 0.5468 |
SSR Mining Backtested Returns
SSR Mining appears to be somewhat reliable, given 3 months investment horizon. SSR Mining owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0794, which indicates the firm had a 0.0794% return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for SSR Mining, which you can use to evaluate the volatility of the company. Please review SSR Mining's coefficient of variation of 1144.96, and Risk Adjusted Performance of 0.0772 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 6. The entity has a beta of 0.61, 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 potential upside, as well as the relationship between the kurtosis and day typical price , to make a quick decision on whether SSR Mining's existing price patterns will revert.
Auto-correlation | -0.61 |
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 November 2024 to 8th of December 2024 and 8th of December 2024 to 23rd of December 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 -0.61 indicates that roughly 61.0% of current SSR Mining price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.61 | |
| Spearman Rank Test | -0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 0.14 |
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 |
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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.