Correlation Between SEI Investments and Getty Realty
Can any of the company-specific risk be diversified away by investing in both SEI Investments and Getty Realty 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 SEI Investments and Getty Realty into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SEI Investments and Getty Realty, you can compare the effects of market volatilities on SEI Investments and Getty Realty 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 SEI Investments with a short position of Getty Realty. Check out your portfolio center. Please also check ongoing floating volatility patterns of SEI Investments and Getty Realty.
Diversification Opportunities for SEI Investments and Getty Realty
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between SEI and Getty is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding SEI Investments and Getty Realty in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Getty Realty and SEI Investments 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 SEI Investments are associated (or correlated) with Getty Realty. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Getty Realty has no effect on the direction of SEI Investments i.e., SEI Investments and Getty Realty go up and down completely randomly.
Pair Corralation between SEI Investments and Getty Realty
Given the investment horizon of 90 days SEI Investments is expected to generate 1.31 times more return on investment than Getty Realty. However, SEI Investments is 1.31 times more volatile than Getty Realty. It trades about 0.22 of its potential returns per unit of risk. Getty Realty is currently generating about -0.07 per unit of risk. If you would invest 6,919 in SEI Investments on September 28, 2024 and sell it today you would earn a total of 1,395 from holding SEI Investments or generate 20.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SEI Investments vs. Getty Realty
Performance |
Timeline |
SEI Investments |
Getty Realty |
SEI Investments and Getty Realty Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SEI Investments and Getty Realty
The main advantage of trading using opposite SEI Investments and Getty Realty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SEI Investments position performs unexpectedly, Getty Realty 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 Getty Realty will offset losses from the drop in Getty Realty's long position.SEI Investments vs. Commerce Bancshares | SEI Investments vs. RLI Corp | SEI Investments vs. Westamerica Bancorporation | SEI Investments vs. Brown Brown |
Getty Realty vs. Rithm Property Trust | Getty Realty vs. Site Centers Corp | Getty Realty vs. Inventrust Properties Corp | Getty Realty vs. Netstreit Corp |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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