Sigma Lithium Resources Stock Market Value
| SGML Stock | 18.99 0.43 2.21% |
| Symbol | Sigma |
Sigma Lithium Resources Price To Book Ratio
Sigma Lithium '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 Sigma Lithium'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 Sigma Lithium.
| 11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in Sigma Lithium on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding Sigma Lithium Resources or generate 0.0% return on investment in Sigma Lithium over 30 days. Sigma Lithium is related to or competes with Standard Lithium, Frontier Lithium, and InZinc Mining. Sigma Lithium is entity of Canada. It is traded as Stock on V exchange. More
Sigma Lithium 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 Sigma Lithium'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 Sigma Lithium Resources upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.46 | |||
| Information Ratio | 0.1051 | |||
| Maximum Drawdown | 19.21 | |||
| Value At Risk | (4.77) | |||
| Potential Upside | 7.49 |
Sigma Lithium Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sigma Lithium's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sigma Lithium's standard deviation. In reality, there are many statistical measures that can use Sigma Lithium historical prices to predict the future Sigma Lithium's volatility.| Risk Adjusted Performance | 0.1139 | |||
| Jensen Alpha | 0.5459 | |||
| Total Risk Alpha | (0.13) | |||
| Sortino Ratio | 0.1256 | |||
| Treynor Ratio | 4.31 |
Sigma Lithium Resources Backtested Returns
Sigma Lithium appears to be not too volatile, given 3 months investment horizon. Sigma Lithium Resources owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.17, which indicates the firm had a 0.17% return per unit of risk over the last 3 months. By inspecting Sigma Lithium's technical indicators, you can evaluate if the expected return of 0.65% is justified by implied risk. Please review Sigma Lithium's Coefficient Of Variation of 722.84, semi deviation of 3.03, and Risk Adjusted Performance of 0.1139 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Sigma Lithium holds a performance score of 13. The entity has a beta of 0.13, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Sigma Lithium's returns are expected to increase less than the market. However, during the bear market, the loss of holding Sigma Lithium is expected to be smaller as well. Please check Sigma Lithium's coefficient of variation, jensen alpha, sortino ratio, as well as the relationship between the standard deviation and total risk alpha , to make a quick decision on whether Sigma Lithium's existing price patterns will revert.
Auto-correlation | -0.26 |
Weak reverse predictability
Sigma Lithium Resources has weak reverse predictability. Overlapping area represents the amount of predictability between Sigma Lithium time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st 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 Sigma Lithium Resources price movement. The serial correlation of -0.26 indicates that nearly 26.0% of current Sigma Lithium price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.26 | |
| Spearman Rank Test | 0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 0.22 |
Sigma Lithium Resources lagged returns against current returns
Autocorrelation, which is Sigma Lithium 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 Sigma Lithium's stock expected returns. We can calculate the autocorrelation of Sigma Lithium returns to help us make a trade decision. For example, suppose you find that Sigma Lithium 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 |
Sigma Lithium 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 Sigma Lithium stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sigma Lithium stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sigma Lithium stock over time.
Current vs Lagged Prices |
| Timeline |
Sigma Lithium Lagged Returns
When evaluating Sigma Lithium's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sigma Lithium stock have on its future price. Sigma Lithium 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, Sigma Lithium autocorrelation shows the relationship between Sigma Lithium stock current value and its past values and can show if there is a momentum factor associated with investing in Sigma Lithium Resources.
Regressed Prices |
| Timeline |
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Additional Tools for Sigma Stock Analysis
When running Sigma Lithium's price analysis, check to measure Sigma Lithium's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Sigma Lithium is operating at the current time. Most of Sigma Lithium's value examination focuses on studying past and present price action to predict the probability of Sigma Lithium's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sigma Lithium's price. Additionally, you may evaluate how the addition of Sigma Lithium to your portfolios can decrease your overall portfolio volatility.