Correlation Between Simon Property and Dine Brands
Can any of the company-specific risk be diversified away by investing in both Simon Property and Dine Brands 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 Simon Property and Dine Brands into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Simon Property Group and Dine Brands Global, you can compare the effects of market volatilities on Simon Property and Dine Brands 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 Simon Property with a short position of Dine Brands. Check out your portfolio center. Please also check ongoing floating volatility patterns of Simon Property and Dine Brands.
Diversification Opportunities for Simon Property and Dine Brands
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Simon and Dine is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Simon Property Group and Dine Brands Global in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dine Brands Global and Simon Property 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 Simon Property Group are associated (or correlated) with Dine Brands. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dine Brands Global has no effect on the direction of Simon Property i.e., Simon Property and Dine Brands go up and down completely randomly.
Pair Corralation between Simon Property and Dine Brands
Considering the 90-day investment horizon Simon Property is expected to generate 1.64 times less return on investment than Dine Brands. But when comparing it to its historical volatility, Simon Property Group is 3.67 times less risky than Dine Brands. It trades about 0.18 of its potential returns per unit of risk. Dine Brands Global is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 2,999 in Dine Brands Global on September 5, 2024 and sell it today you would earn a total of 459.00 from holding Dine Brands Global or generate 15.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Simon Property Group vs. Dine Brands Global
Performance |
Timeline |
Simon Property Group |
Dine Brands Global |
Simon Property and Dine Brands Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Simon Property and Dine Brands
The main advantage of trading using opposite Simon Property and Dine Brands positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Simon Property position performs unexpectedly, Dine Brands 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 Dine Brands will offset losses from the drop in Dine Brands' long position.Simon Property vs. Federal Realty Investment | Simon Property vs. Agree Realty | Simon Property vs. National Retail Properties | Simon Property vs. Kimco Realty |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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