Sienna Resources Stock Market Value
| SNNAF Stock | USD 0.03 0 9.19% |
| Symbol | Sienna |
Sienna Resources '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 Sienna Resources' pink sheet 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 Sienna Resources.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Sienna Resources on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding Sienna Resources or generate 0.0% return on investment in Sienna Resources over 90 days. Sienna Resources is related to or competes with Cantex Mine, Amarc Resources, and Mundoro Capital. Sienna Resources Inc. engages in the identification, acquisition, and exploration of mineral properties in Canada, Swede... More
Sienna Resources 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 Sienna Resources' pink sheet 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 Sienna Resources upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 6.66 | |||
| Information Ratio | 0.1184 | |||
| Maximum Drawdown | 43.43 | |||
| Value At Risk | (9.38) | |||
| Potential Upside | 18.86 |
Sienna Resources Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sienna Resources' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sienna Resources' standard deviation. In reality, there are many statistical measures that can use Sienna Resources historical prices to predict the future Sienna Resources' volatility.| Risk Adjusted Performance | 0.0957 | |||
| Jensen Alpha | 0.9747 | |||
| Total Risk Alpha | 2.28 | |||
| Sortino Ratio | 0.1503 | |||
| Treynor Ratio | 1.06 |
Sienna Resources Backtested Returns
Sienna Resources appears to be out of control, given 3 months investment horizon. Sienna Resources owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.12, which indicates the firm had a 0.12 % return per unit of risk over the last 3 months. By inspecting Sienna Resources' technical indicators, you can evaluate if the expected return of 0.93% is justified by implied risk. Please review Sienna Resources' Semi Deviation of 5.42, coefficient of variation of 973.21, and Risk Adjusted Performance of 0.0957 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Sienna Resources holds a performance score of 9. The entity has a beta of 0.81, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Sienna Resources' returns are expected to increase less than the market. However, during the bear market, the loss of holding Sienna Resources is expected to be smaller as well. Please check Sienna Resources' information ratio, value at risk, kurtosis, as well as the relationship between the sortino ratio and semi variance , to make a quick decision on whether Sienna Resources' existing price patterns will revert.
Auto-correlation | -0.76 |
Almost perfect reverse predictability
Sienna Resources has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Sienna Resources 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 Sienna Resources price movement. The serial correlation of -0.76 indicates that around 76.0% of current Sienna Resources price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.76 | |
| Spearman Rank Test | -0.78 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Sienna Resources lagged returns against current returns
Autocorrelation, which is Sienna Resources pink sheet'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 Sienna Resources' pink sheet expected returns. We can calculate the autocorrelation of Sienna Resources returns to help us make a trade decision. For example, suppose you find that Sienna Resources has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Sienna Resources 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 Sienna Resources pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sienna Resources pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sienna Resources pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Sienna Resources Lagged Returns
When evaluating Sienna Resources' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sienna Resources pink sheet have on its future price. Sienna Resources 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, Sienna Resources autocorrelation shows the relationship between Sienna Resources pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Sienna Resources.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Sienna Pink Sheet
Sienna Resources financial ratios help investors to determine whether Sienna Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Sienna with respect to the benefits of owning Sienna Resources security.