Correlation Between Simon Property and Global Ship
Can any of the company-specific risk be diversified away by investing in both Simon Property and Global Ship 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 Global Ship 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 Global Ship Lease, you can compare the effects of market volatilities on Simon Property and Global Ship 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 Global Ship. Check out your portfolio center. Please also check ongoing floating volatility patterns of Simon Property and Global Ship.
Diversification Opportunities for Simon Property and Global Ship
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Simon and Global is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Simon Property Group and Global Ship Lease in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Global Ship Lease 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 Global Ship. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Global Ship Lease has no effect on the direction of Simon Property i.e., Simon Property and Global Ship go up and down completely randomly.
Pair Corralation between Simon Property and Global Ship
Considering the 90-day investment horizon Simon Property Group is expected to under-perform the Global Ship. In addition to that, Simon Property is 1.23 times more volatile than Global Ship Lease. It trades about -0.03 of its total potential returns per unit of risk. Global Ship Lease is currently generating about 0.06 per unit of volatility. If you would invest 2,669 in Global Ship Lease on September 12, 2024 and sell it today you would earn a total of 21.00 from holding Global Ship Lease or generate 0.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.45% |
Values | Daily Returns |
Simon Property Group vs. Global Ship Lease
Performance |
Timeline |
Simon Property Group |
Global Ship Lease |
Simon Property and Global Ship Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Simon Property and Global Ship
The main advantage of trading using opposite Simon Property and Global Ship positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Simon Property position performs unexpectedly, Global Ship 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 Global Ship will offset losses from the drop in Global Ship's long position.Simon Property vs. Federal Realty Investment | Simon Property vs. Agree Realty | Simon Property vs. National Retail Properties | Simon Property vs. Kimco Realty |
Global Ship vs. Safe Bulkers | Global Ship vs. Diana Shipping | Global Ship vs. Costamare | Global Ship vs. Safe Bulkers |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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