Automotive Properties Real Stock Market Value
| APR-UN Stock | CAD 10.18 0.12 1.17% |
| Symbol | Automotive |
Automotive Properties Price To Book Ratio
Automotive Properties '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 Automotive Properties' 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 Automotive Properties.
| 01/30/2025 |
| 03/01/2025 |
If you would invest 0.00 in Automotive Properties on January 30, 2025 and sell it all today you would earn a total of 0.00 from holding Automotive Properties Real or generate 0.0% return on investment in Automotive Properties over 30 days. Automotive Properties is related to or competes with Inovalis Real, Dream Industrial, BTB Real, and True North. Automotive Properties REIT is an unincorporated, open-ended real estate investment trust focused on owning and acquiring... More
Automotive Properties 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 Automotive Properties' 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 Automotive Properties Real upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 7.26 | |||
| Value At Risk | (2.39) | |||
| Potential Upside | 1.81 |
Automotive Properties Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Automotive Properties' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Automotive Properties' standard deviation. In reality, there are many statistical measures that can use Automotive Properties historical prices to predict the future Automotive Properties' volatility.| Risk Adjusted Performance | (0.13) | |||
| Jensen Alpha | (0.26) | |||
| Total Risk Alpha | (0.22) | |||
| Treynor Ratio | (1.12) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Automotive Properties' 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.
Automotive Properties Backtested Returns
Automotive Properties secures Sharpe Ratio (or Efficiency) of -0.16, which signifies that the company had a -0.16 % return per unit of risk over the last 3 months. Automotive Properties Real exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Automotive Properties' Risk Adjusted Performance of (0.13), standard deviation of 1.36, and Mean Deviation of 0.9951 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.23, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Automotive Properties' returns are expected to increase less than the market. However, during the bear market, the loss of holding Automotive Properties is expected to be smaller as well. At this point, Automotive Properties has a negative expected return of -0.22%. Please make sure to confirm Automotive Properties' skewness, as well as the relationship between the rate of daily change and period momentum indicator , to decide if Automotive Properties performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.06 |
Virtually no predictability
Automotive Properties Real has virtually no predictability. Overlapping area represents the amount of predictability between Automotive Properties time series from 30th of January 2025 to 14th of February 2025 and 14th of February 2025 to 1st of March 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 Automotive Properties price movement. The serial correlation of 0.06 indicates that barely 6.0% of current Automotive Properties price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.06 | |
| Spearman Rank Test | -0.52 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Automotive Properties lagged returns against current returns
Autocorrelation, which is Automotive Properties 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 Automotive Properties' stock expected returns. We can calculate the autocorrelation of Automotive Properties returns to help us make a trade decision. For example, suppose you find that Automotive Properties 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 |
Automotive Properties 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 Automotive Properties stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Automotive Properties stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Automotive Properties stock over time.
Current vs Lagged Prices |
| Timeline |
Automotive Properties Lagged Returns
When evaluating Automotive Properties' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Automotive Properties stock have on its future price. Automotive Properties 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, Automotive Properties autocorrelation shows the relationship between Automotive Properties stock current value and its past values and can show if there is a momentum factor associated with investing in Automotive Properties Real.
Regressed Prices |
| Timeline |
Pair Trading with Automotive Properties
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 Automotive Properties 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 Automotive Properties will appreciate offsetting losses from the drop in the long position's value.Moving together with Automotive Stock
Moving against Automotive Stock
| 0.86 | ECN | ECN Capital Corp | PairCorr |
| 0.58 | LOU | Lucero Energy Corp | PairCorr |
| 0.57 | CAE | CAE Inc | PairCorr |
| 0.57 | SOU | Southern Energy Corp | PairCorr |
| 0.53 | ASM | Avino Silver Gold | PairCorr |
The ability to find closely correlated positions to Automotive Properties could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Automotive Properties 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 Automotive Properties - 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 Automotive Properties Real to buy it.
The correlation of Automotive Properties 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 Automotive Properties moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Automotive Properties 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 Automotive Properties 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 Automotive Stock
Automotive Properties financial ratios help investors to determine whether Automotive 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 Automotive with respect to the benefits of owning Automotive Properties security.