Silver Buckle Mines Stock Market Value
| SBUM Stock | USD 0.04 0.04 49.37% |
| Symbol | Silver |
Silver Buckle '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 Silver Buckle's 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 Silver Buckle.
| 05/08/2023 |
| 11/28/2024 |
If you would invest 0.00 in Silver Buckle on May 8, 2023 and sell it all today you would earn a total of 0.00 from holding Silver Buckle Mines or generate 0.0% return on investment in Silver Buckle over 570 days. Silver Buckle is related to or competes with Teuton Resources, and Industrias Penoles. Silver Buckle Mines, Inc. intends to acquire or merge with an operating business More
Silver Buckle 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 Silver Buckle's 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 Silver Buckle Mines upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 43.78 | |||
| Information Ratio | 0.0683 | |||
| Maximum Drawdown | 243.62 | |||
| Value At Risk | (47.69) | |||
| Potential Upside | 42.86 |
Silver Buckle Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Silver Buckle's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Silver Buckle's standard deviation. In reality, there are many statistical measures that can use Silver Buckle historical prices to predict the future Silver Buckle's volatility.| Risk Adjusted Performance | 0.0651 | |||
| Jensen Alpha | 2.23 | |||
| Total Risk Alpha | (2.75) | |||
| Sortino Ratio | 0.0502 | |||
| Treynor Ratio | 3.33 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Silver Buckle's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Silver Buckle Mines Backtested Returns
Silver Buckle is out of control given 3 months investment horizon. Silver Buckle Mines owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0741, which indicates the firm had a 0.0741% return per unit of risk over the last 3 months. We are able to break down and analyze data for twenty-eight different technical indicators, which can help you to evaluate if expected returns of 2.44% are justified by taking the suggested risk. Use Silver Buckle Mines Coefficient Of Variation of 1381.7, semi deviation of 16.19, and Risk Adjusted Performance of 0.0651 to evaluate company specific risk that cannot be diversified away. Silver Buckle holds a performance score of 5 on a scale of zero to a hundred. The entity has a beta of 0.7, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Silver Buckle's returns are expected to increase less than the market. However, during the bear market, the loss of holding Silver Buckle is expected to be smaller as well. Use Silver Buckle Mines maximum drawdown, as well as the relationship between the expected short fall and day median price , to analyze future returns on Silver Buckle Mines.
Auto-correlation | 0.15 |
Insignificant predictability
Silver Buckle Mines has insignificant predictability. Overlapping area represents the amount of predictability between Silver Buckle time series from 8th of May 2023 to 17th of February 2024 and 17th of February 2024 to 28th 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 Silver Buckle Mines price movement. The serial correlation of 0.15 indicates that less than 15.0% of current Silver Buckle price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.15 | |
| Spearman Rank Test | -0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Silver Buckle Mines lagged returns against current returns
Autocorrelation, which is Silver Buckle 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 Silver Buckle's pink sheet expected returns. We can calculate the autocorrelation of Silver Buckle returns to help us make a trade decision. For example, suppose you find that Silver Buckle 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 |
Silver Buckle 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 Silver Buckle pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Silver Buckle pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Silver Buckle pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Silver Buckle Lagged Returns
When evaluating Silver Buckle's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Silver Buckle pink sheet have on its future price. Silver Buckle 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, Silver Buckle autocorrelation shows the relationship between Silver Buckle pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Silver Buckle Mines.
Regressed Prices |
| Timeline |
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Silver Buckle financial ratios help investors to determine whether Silver 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 Silver with respect to the benefits of owning Silver Buckle security.