Schmitt Industries Stock Market Value
| SMIT Stock | USD 0.02 0 11.50% |
| Symbol | Schmitt |
Schmitt Industries '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 Schmitt Industries' 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 Schmitt Industries.
| 12/10/2025 |
| 01/09/2026 |
If you would invest 0.00 in Schmitt Industries on December 10, 2025 and sell it all today you would earn a total of 0.00 from holding Schmitt Industries or generate 0.0% return on investment in Schmitt Industries over 30 days. Schmitt Industries, Inc., together with its subsidiaries, designs, manufactures, and sells test and measurement products... More
Schmitt Industries 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 Schmitt Industries' 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 Schmitt Industries upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0564 | |||
| Maximum Drawdown | 44.83 |
Schmitt Industries Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Schmitt Industries' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Schmitt Industries' standard deviation. In reality, there are many statistical measures that can use Schmitt Industries historical prices to predict the future Schmitt Industries' volatility.| Risk Adjusted Performance | 0.0643 | |||
| Jensen Alpha | 0.3203 | |||
| Total Risk Alpha | (0.12) | |||
| Treynor Ratio | 6.35 |
Schmitt Industries Backtested Returns
Schmitt Industries appears to be out of control, given 3 months investment horizon. Schmitt Industries owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0771, which indicates the firm had a 0.0771 % return per unit of risk over the last 3 months. We have found twenty technical indicators for Schmitt Industries, which you can use to evaluate the volatility of the company. Please review Schmitt Industries' Coefficient Of Variation of 1327.86, variance of 19.68, and Risk Adjusted Performance of 0.0643 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Schmitt Industries holds a performance score of 6. The entity has a beta of 0.051, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Schmitt Industries' returns are expected to increase less than the market. However, during the bear market, the loss of holding Schmitt Industries is expected to be smaller as well. Please check Schmitt Industries' standard deviation, kurtosis, as well as the relationship between the Kurtosis and period momentum indicator , to make a quick decision on whether Schmitt Industries' existing price patterns will revert.
Auto-correlation | 0.00 |
No correlation between past and present
Schmitt Industries has no correlation between past and present. Overlapping area represents the amount of predictability between Schmitt Industries time series from 10th of December 2025 to 25th of December 2025 and 25th of December 2025 to 9th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Schmitt Industries price movement. The serial correlation of 0.0 indicates that just 0.0% of current Schmitt Industries price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.66 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Schmitt Industries lagged returns against current returns
Autocorrelation, which is Schmitt Industries 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 Schmitt Industries' pink sheet expected returns. We can calculate the autocorrelation of Schmitt Industries returns to help us make a trade decision. For example, suppose you find that Schmitt Industries 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 |
Schmitt Industries 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 Schmitt Industries pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Schmitt Industries pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Schmitt Industries pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Schmitt Industries Lagged Returns
When evaluating Schmitt Industries' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Schmitt Industries pink sheet have on its future price. Schmitt Industries 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, Schmitt Industries autocorrelation shows the relationship between Schmitt Industries pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Schmitt Industries.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Schmitt Pink Sheet Analysis
When running Schmitt Industries' price analysis, check to measure Schmitt Industries' 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 Schmitt Industries is operating at the current time. Most of Schmitt Industries' value examination focuses on studying past and present price action to predict the probability of Schmitt Industries' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Schmitt Industries' price. Additionally, you may evaluate how the addition of Schmitt Industries to your portfolios can decrease your overall portfolio volatility.