Correlation Between Automotive Properties and Slate Grocery
Can any of the company-specific risk be diversified away by investing in both Automotive Properties and Slate Grocery at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Automotive Properties and Slate Grocery into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Automotive Properties Real and Slate Grocery REIT, you can compare the effects of market volatilities on Automotive Properties and Slate Grocery and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Automotive Properties with a short position of Slate Grocery. Check out your portfolio center. Please also check ongoing floating volatility patterns of Automotive Properties and Slate Grocery.
Diversification Opportunities for Automotive Properties and Slate Grocery
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Automotive and Slate is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Automotive Properties Real and Slate Grocery REIT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Slate Grocery REIT and Automotive Properties is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Automotive Properties Real are associated (or correlated) with Slate Grocery. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Slate Grocery REIT has no effect on the direction of Automotive Properties i.e., Automotive Properties and Slate Grocery go up and down completely randomly.
Pair Corralation between Automotive Properties and Slate Grocery
Assuming the 90 days trading horizon Automotive Properties Real is expected to generate 0.91 times more return on investment than Slate Grocery. However, Automotive Properties Real is 1.1 times less risky than Slate Grocery. It trades about 0.26 of its potential returns per unit of risk. Slate Grocery REIT is currently generating about 0.12 per unit of risk. If you would invest 1,006 in Automotive Properties Real on April 23, 2025 and sell it today you would earn a total of 132.00 from holding Automotive Properties Real or generate 13.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Automotive Properties Real vs. Slate Grocery REIT
Performance |
Timeline |
Automotive Properties |
Slate Grocery REIT |
Automotive Properties and Slate Grocery Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Automotive Properties and Slate Grocery
The main advantage of trading using opposite Automotive Properties and Slate Grocery positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Automotive Properties position performs unexpectedly, Slate Grocery 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 Slate Grocery will offset losses from the drop in Slate Grocery's long position.Automotive Properties vs. Farmland Partners | Automotive Properties vs. Outfront Media | Automotive Properties vs. AFC Gamma | Automotive Properties vs. Inovalis Real Estate |
Slate Grocery vs. SmartCentres Real Estate | Slate Grocery vs. Choice Properties Real | Slate Grocery vs. CT Real Estate | Slate Grocery vs. Plaza Retail REIT |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
Other Complementary Tools
Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
Portfolio Dashboard Portfolio dashboard that provides centralized access to all your investments | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments |