Automotive Properties Real Stock Probability of Future Stock Price Finishing Under 11.37
| APR-UN Stock | CAD 11.34 0.27 2.33% |
Automotive |
Automotive Properties Target Price Odds to finish below 11.37
The tendency of Automotive Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to stay under C$ 11.37 after 90 days |
| 11.34 | 90 days | 11.37 | about 5.75 |
Based on a normal probability distribution, the odds of Automotive Properties to stay under C$ 11.37 after 90 days from now is about 5.75 (This Automotive Properties Real probability density function shows the probability of Automotive Stock to fall within a particular range of prices over 90 days) . Probability of Automotive Properties price to stay between its current price of C$ 11.34 and C$ 11.37 at the end of the 90-day period is near 1 .
Assuming the 90 days trading horizon Automotive Properties Real has a beta of -0.0582. This suggests as returns on the benchmark increase, returns on holding Automotive Properties are expected to decrease at a much lower rate. During a bear market, however, Automotive Properties Real is likely to outperform the market. Additionally Automotive Properties Real has an alpha of 0.0418, implying that it can generate a 0.0418 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Automotive Properties Price Density |
| Price |
Predictive Modules for Automotive Properties
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Automotive Properties. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.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 Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Automotive Properties is not an exception. The market had few large corrections towards the Automotive Properties' value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Automotive Properties Real, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Automotive Properties within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.04 | |
β | Beta against Dow Jones | -0.06 | |
σ | Overall volatility | 0.44 | |
Ir | Information ratio | -0.07 |
Automotive Properties Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Automotive Properties for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Automotive Properties can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Automotive Properties has high likelihood to experience some financial distress in the next 2 years | |
| Automotive Properties has high financial leverage indicating that it may have difficulties to generate enough cash to satisfy its financial obligations | |
| About 33.0% of the company shares are held by company insiders | |
| Latest headline from news.google.com: Automotive Properties Real Estate Investment Trust Reports Earnings Results for the Third Quarter and Nine Months Ended September 30, 2024 - Marketscreener.com |
Automotive Properties Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Automotive Stock often depends not only on the future outlook of the current and potential Automotive Properties' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Automotive Properties' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 50 M | |
| Cash And Short Term Investments | 298 K |
Automotive Properties Technical Analysis
Automotive Properties' future price can be derived by breaking down and analyzing its technical indicators over time. Automotive Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Automotive Properties Real. In general, you should focus on analyzing Automotive Stock price patterns and their correlations with different microeconomic environments and drivers.
Automotive Properties Predictive Forecast Models
Automotive Properties' time-series forecasting models is one of many Automotive Properties' stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Automotive Properties' historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.
Things to note about Automotive Properties
Checking the ongoing alerts about Automotive Properties for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Automotive Properties help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Automotive Properties has high likelihood to experience some financial distress in the next 2 years | |
| Automotive Properties has high financial leverage indicating that it may have difficulties to generate enough cash to satisfy its financial obligations | |
| About 33.0% of the company shares are held by company insiders | |
| Latest headline from news.google.com: Automotive Properties Real Estate Investment Trust Reports Earnings Results for the Third Quarter and Nine Months Ended September 30, 2024 - Marketscreener.com |
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.