Automotive Operating Profit Margin from 2010 to 2024

APR-UN Stock  CAD 11.16  0.06  0.54%   
Automotive Properties' Operating Profit Margin is decreasing over the years with slightly volatile fluctuation. Operating Profit Margin is expected to dwindle to 0.75. From 2010 to 2024 Automotive Properties Operating Profit Margin quarterly data regression line had arithmetic mean of  0.70 and r-squared of  0.14. View All Fundamentals
 
Operating Profit Margin  
First Reported
2010-12-31
Previous Quarter
0.78559535
Current Value
0.75
Quarterly Volatility
0.25232257
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Automotive Properties financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Automotive Properties' main balance sheet or income statement drivers, such as Total Revenue of 49.7 M, Gross Profit of 42.3 M or Other Operating Expenses of 10 M, as well as many indicators such as Price To Sales Ratio of 5.43, Dividend Yield of 0.0875 or PTB Ratio of 0.93. Automotive financial statements analysis is a perfect complement when working with Automotive Properties Valuation or Volatility modules.
  
This module can also supplement various Automotive Properties Technical models . Check out the analysis of Automotive Properties Correlation against competitors.

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

  0.83TAU Thesis GoldPairCorr

Moving against Automotive Stock

  0.7LCS Brompton Lifeco Split SplitPairCorr
  0.6DGS Dividend Growth SplitPairCorr
  0.57DF Dividend 15 SplitPairCorr
  0.32ESI Ensign Energy ServicesPairCorr
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.
Pair CorrelationCorrelation Matching

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.