Airboss Of America Stock Market Value
| BOS Stock | CAD 4.95 0.06 1.20% |
| Symbol | AirBoss |
AirBoss of America Price To Book Ratio
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 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.
| 04/22/2025 |
| 07/21/2025 |
If you would invest 0.00 in AirBoss Of on April 22, 2025 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 90 days. AirBoss Of is related to or competes with Autocanada, Martinrea International, Stella Jones, Ag Growth, and Interfor Corp. AirBoss of America Corp., through its subsidiaries, designs, develops, manufactures, and sells rubber compounds and spec... 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 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.
| Downside Deviation | 2.58 | |||
| Information Ratio | 0.1105 | |||
| Maximum Drawdown | 19.43 | |||
| Value At Risk | (3.68) | |||
| Potential Upside | 4.49 |
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 | 0.1535 | |||
| Jensen Alpha | 0.3243 | |||
| Total Risk Alpha | 0.0412 | |||
| Sortino Ratio | 0.1298 | |||
| Treynor Ratio | 0.4303 |
AirBoss of America Backtested Returns
AirBoss Of appears to be slightly risky, given 3 months investment horizon. AirBoss of America secures Sharpe Ratio (or Efficiency) of 0.15, which signifies that the company had a 0.15 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for AirBoss of America, which you can use to evaluate the volatility of the firm. Please makes use of AirBoss Of's Downside Deviation of 2.58, mean deviation of 2.24, and Risk Adjusted Performance of 0.1535 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, AirBoss Of holds a performance score of 11. The firm shows a Beta (market volatility) of 1.08, which signifies a somewhat significant risk relative to the market. AirBoss Of returns are very sensitive to returns on the market. As the market goes up or down, AirBoss Of is expected to follow. Please check AirBoss Of's downside variance, and the relationship between the treynor ratio and kurtosis , to make a quick decision on whether AirBoss Of's price patterns will revert.
Auto-correlation | 0.21 |
Weak predictability
AirBoss of America has weak predictability. Overlapping area represents the amount of predictability between AirBoss Of time series from 22nd of April 2025 to 6th of June 2025 and 6th of June 2025 to 21st of July 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 AirBoss of America price movement. The serial correlation of 0.21 indicates that over 21.0% of current AirBoss Of price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.21 | |
| Spearman Rank Test | 0.02 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
AirBoss of America lagged returns against current returns
Autocorrelation, which is AirBoss Of 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 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 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 |
| Timeline |
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 stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AirBoss Of 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 stock over time.
Current vs Lagged Prices |
| Timeline |
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 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 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 |
| Timeline |
Pair Trading with AirBoss Of
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if AirBoss Of position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in AirBoss Of will appreciate offsetting losses from the drop in the long position's value.Moving together with AirBoss Stock
Moving against AirBoss Stock
| 0.74 | HPQ | HPQ Silicon Resources | PairCorr |
| 0.66 | FDR | Flinders Resources Earnings Call This Week | PairCorr |
| 0.65 | INFM | Infinico Metals Corp | PairCorr |
| 0.65 | DFR | Diamond Fields Resources | PairCorr |
| 0.57 | TCO | Transatlantic Mining Corp | PairCorr |
The ability to find closely correlated positions to AirBoss Of could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AirBoss Of when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back AirBoss Of - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling AirBoss of America to buy it.
The correlation of AirBoss Of is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as AirBoss Of moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AirBoss of America moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for AirBoss Of can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in AirBoss Stock
AirBoss Of financial ratios help investors to determine whether AirBoss 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.