Apparel Manufacturing Associates Stock Market Value
| APPM Stock | USD 0.0001 0.00 0.00% |
| Symbol | Apparel |
Apparel Manufacturing '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 Apparel Manufacturing'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 Apparel Manufacturing.
| 06/28/2025 |
| 12/25/2025 |
If you would invest 0.00 in Apparel Manufacturing on June 28, 2025 and sell it all today you would earn a total of 0.00 from holding Apparel Manufacturing Associates or generate 0.0% return on investment in Apparel Manufacturing over 180 days. Apparel Manufacturing Associates, Inc. is based in Bloomfield, Connecticut More
Apparel Manufacturing 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 Apparel Manufacturing'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 Apparel Manufacturing Associates upside and downside potential and time the market with a certain degree of confidence.
Apparel Manufacturing Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Apparel Manufacturing's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Apparel Manufacturing's standard deviation. In reality, there are many statistical measures that can use Apparel Manufacturing historical prices to predict the future Apparel Manufacturing's volatility.Apparel Manufacturing Backtested Returns
We have found three technical indicators for Apparel Manufacturing Associates, which you can use to evaluate the volatility of the firm. The firm shows a Beta (market volatility) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and Apparel Manufacturing are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Apparel Manufacturing Associates has no correlation between past and present. Overlapping area represents the amount of predictability between Apparel Manufacturing time series from 28th of June 2025 to 26th of September 2025 and 26th of September 2025 to 25th of December 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 Apparel Manufacturing price movement. The serial correlation of 0.0 indicates that just 0.0% of current Apparel Manufacturing price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Apparel Manufacturing lagged returns against current returns
Autocorrelation, which is Apparel Manufacturing 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 Apparel Manufacturing's pink sheet expected returns. We can calculate the autocorrelation of Apparel Manufacturing returns to help us make a trade decision. For example, suppose you find that Apparel Manufacturing 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 |
Apparel Manufacturing 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 Apparel Manufacturing pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Apparel Manufacturing pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Apparel Manufacturing pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Apparel Manufacturing Lagged Returns
When evaluating Apparel Manufacturing's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Apparel Manufacturing pink sheet have on its future price. Apparel Manufacturing 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, Apparel Manufacturing autocorrelation shows the relationship between Apparel Manufacturing pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Apparel Manufacturing Associates.
Regressed Prices |
| Timeline |
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Apparel Manufacturing financial ratios help investors to determine whether Apparel 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 Apparel with respect to the benefits of owning Apparel Manufacturing security.