Airboss Of America Stock Market Value
| ABSSF Stock | USD 2.72 0.09 3.20% |
| Symbol | AirBoss |
AirBoss Of '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 AirBoss Of's 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 AirBoss Of.
| 12/13/2022 |
| 12/02/2024 |
If you would invest 0.00 in AirBoss Of on December 13, 2022 and sell it all today you would earn a total of 0.00 from holding AirBoss of America or generate 0.0% return on investment in AirBoss Of over 720 days. AirBoss Of is related to or competes with Akzo Nobel, Avoca LLC, AGC, Arkema SA, Arkema SA, and IsraelLtd. AirBoss of America Corp., together with its subsidiaries, develops, manufactures, and markets rubber-based products for ... More
AirBoss Of 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 AirBoss Of's 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 AirBoss of America upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 16.91 | |||
| Value At Risk | (5.76) | |||
| Potential Upside | 5.71 |
AirBoss Of Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AirBoss Of's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AirBoss Of's standard deviation. In reality, there are many statistical measures that can use AirBoss Of historical prices to predict the future AirBoss Of's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.64) | |||
| Treynor Ratio | (0.29) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AirBoss Of'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.
AirBoss of America Backtested Returns
AirBoss of America secures Sharpe Ratio (or Efficiency) of -0.12, which signifies that the company had a -0.12% return per unit of risk over the last 3 months. AirBoss of America exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm AirBoss Of's Risk Adjusted Performance of (0.02), standard deviation of 3.07, and Mean Deviation of 1.98 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.44, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, AirBoss Of's returns are expected to increase less than the market. However, during the bear market, the loss of holding AirBoss Of is expected to be smaller as well. At this point, AirBoss of America has a negative expected return of -0.33%. Please make sure to confirm AirBoss Of's potential upside, as well as the relationship between the daily balance of power and market facilitation index , to decide if AirBoss of America performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.42 |
Average predictability
AirBoss of America has average predictability. Overlapping area represents the amount of predictability between AirBoss Of time series from 13th of December 2022 to 8th of December 2023 and 8th of December 2023 to 2nd of December 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 AirBoss of America price movement. The serial correlation of 0.42 indicates that just about 42.0% of current AirBoss Of price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.42 | |
| Spearman Rank Test | 0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 0.2 |
AirBoss of America lagged returns against current returns
Autocorrelation, which is AirBoss Of 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 AirBoss Of's otc stock expected returns. We can calculate the autocorrelation of AirBoss Of returns to help us make a trade decision. For example, suppose you find that AirBoss Of 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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AirBoss Of 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 AirBoss Of otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AirBoss Of otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AirBoss Of otc stock over time.
Current vs Lagged Prices |
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AirBoss Of Lagged Returns
When evaluating AirBoss Of's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AirBoss Of otc stock have on its future price. AirBoss Of 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, AirBoss Of autocorrelation shows the relationship between AirBoss Of otc stock current value and its past values and can show if there is a momentum factor associated with investing in AirBoss of America.
Regressed Prices |
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Currently Active Assets on Macroaxis
Other Information on Investing in AirBoss OTC Stock
AirBoss Of financial ratios help investors to determine whether AirBoss 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 AirBoss with respect to the benefits of owning AirBoss Of security.