Search Minerals Stock Market Value
| SHCMF Stock | USD 0.03 0.02 187.50% |
| Symbol | Search |
Search Minerals '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 Search Minerals' otc 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 Search Minerals.
| 10/24/2024 |
| 11/23/2024 |
If you would invest 0.00 in Search Minerals on October 24, 2024 and sell it all today you would earn a total of 0.00 from holding Search Minerals or generate 0.0% return on investment in Search Minerals over 30 days. Search Minerals is related to or competes with Amarc Resources, Aftermath Silver, and Aurelia Metals. Search Minerals Inc. engages in the acquisition, evaluation, and exploration of mineral resource properties in Canada More
Search Minerals 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 Search Minerals' otc 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 Search Minerals upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 36.76 | |||
| Information Ratio | 0.1184 | |||
| Maximum Drawdown | 566.04 | |||
| Value At Risk | (18.92) | |||
| Potential Upside | 32.14 |
Search Minerals Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Search Minerals' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Search Minerals' standard deviation. In reality, there are many statistical measures that can use Search Minerals historical prices to predict the future Search Minerals' volatility.| Risk Adjusted Performance | 0.1022 | |||
| Jensen Alpha | 2.58 | |||
| Total Risk Alpha | (2.54) | |||
| Sortino Ratio | 0.22 | |||
| Treynor Ratio | 0.1761 |
Search Minerals Backtested Returns
Search Minerals is out of control given 3 months investment horizon. Search Minerals owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.13, which indicates the firm had a 0.13% return per unit of risk over the last 3 months. We have collected data for twenty-eight different technical indicators, which can help you to evaluate if expected returns of 9.67% are justified by taking the suggested risk. Use Search Minerals Coefficient Of Variation of 830.81, semi deviation of 13.0, and Risk Adjusted Performance of 0.1022 to evaluate company specific risk that cannot be diversified away. Search Minerals holds a performance score of 10 on a scale of zero to a hundred. The entity has a beta of 46.61, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Search Minerals will likely underperform. Use Search Minerals information ratio, downside variance, day typical price, as well as the relationship between the treynor ratio and kurtosis , to analyze future returns on Search Minerals.
Auto-correlation | 0.15 |
Insignificant predictability
Search Minerals has insignificant predictability. Overlapping area represents the amount of predictability between Search Minerals time series from 24th of October 2024 to 8th of November 2024 and 8th of November 2024 to 23rd 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 Search Minerals price movement. The serial correlation of 0.15 indicates that less than 15.0% of current Search Minerals price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.15 | |
| Spearman Rank Test | -0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Search Minerals lagged returns against current returns
Autocorrelation, which is Search Minerals otc 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 Search Minerals' otc stock expected returns. We can calculate the autocorrelation of Search Minerals returns to help us make a trade decision. For example, suppose you find that Search Minerals has exhibited high autocorrelation historically, and you observe that the otc 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 |
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Search Minerals 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 Search Minerals otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Search Minerals otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Search Minerals otc stock over time.
Current vs Lagged Prices |
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Search Minerals Lagged Returns
When evaluating Search Minerals' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Search Minerals otc stock have on its future price. Search Minerals 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, Search Minerals autocorrelation shows the relationship between Search Minerals otc stock current value and its past values and can show if there is a momentum factor associated with investing in Search Minerals.
Regressed Prices |
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Currently Active Assets on Macroaxis
Other Information on Investing in Search OTC Stock
Search Minerals financial ratios help investors to determine whether Search OTC Stock 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 Search with respect to the benefits of owning Search Minerals security.