Correlation Between Aegon NV and Simon Property
Can any of the company-specific risk be diversified away by investing in both Aegon NV and Simon Property 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 Aegon NV and Simon Property into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aegon NV ADR and Simon Property Group, you can compare the effects of market volatilities on Aegon NV and Simon Property 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 Aegon NV with a short position of Simon Property. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aegon NV and Simon Property.
Diversification Opportunities for Aegon NV and Simon Property
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between Aegon and Simon is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding Aegon NV ADR and Simon Property Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Simon Property Group and Aegon NV 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 Aegon NV ADR are associated (or correlated) with Simon Property. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Simon Property Group has no effect on the direction of Aegon NV i.e., Aegon NV and Simon Property go up and down completely randomly.
Pair Corralation between Aegon NV and Simon Property
Considering the 90-day investment horizon Aegon NV is expected to generate 1.22 times less return on investment than Simon Property. In addition to that, Aegon NV is 1.17 times more volatile than Simon Property Group. It trades about 0.04 of its total potential returns per unit of risk. Simon Property Group is currently generating about 0.06 per unit of volatility. If you would invest 9,694 in Simon Property Group on February 26, 2024 and sell it today you would earn a total of 5,094 from holding Simon Property Group or generate 52.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Aegon NV ADR vs. Simon Property Group
Performance |
Timeline |
Aegon NV ADR |
Simon Property Group |
Aegon NV and Simon Property Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aegon NV and Simon Property
The main advantage of trading using opposite Aegon NV and Simon Property positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aegon NV position performs unexpectedly, Simon Property 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 Simon Property will offset losses from the drop in Simon Property's long position.Aegon NV vs. Hartford Financial Services | Aegon NV vs. Goosehead Insurance | Aegon NV vs. International General Insurance | Aegon NV vs. Enstar Group Limited |
Simon Property vs. Urban Edge Properties | Simon Property vs. Aquagold International | Simon Property vs. Morningstar Unconstrained Allocation | Simon Property vs. Thrivent High Yield |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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