Correlation Between SEI Investments and Logan Ridge
Can any of the company-specific risk be diversified away by investing in both SEI Investments and Logan Ridge 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 Logan Ridge into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SEI Investments and Logan Ridge Finance, you can compare the effects of market volatilities on SEI Investments and Logan Ridge 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 Logan Ridge. Check out your portfolio center. Please also check ongoing floating volatility patterns of SEI Investments and Logan Ridge.
Diversification Opportunities for SEI Investments and Logan Ridge
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between SEI and Logan is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding SEI Investments and Logan Ridge Finance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Logan Ridge Finance 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 Logan Ridge. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Logan Ridge Finance has no effect on the direction of SEI Investments i.e., SEI Investments and Logan Ridge go up and down completely randomly.
Pair Corralation between SEI Investments and Logan Ridge
Given the investment horizon of 90 days SEI Investments is expected to generate 0.89 times more return on investment than Logan Ridge. However, SEI Investments is 1.12 times less risky than Logan Ridge. It trades about -0.07 of its potential returns per unit of risk. Logan Ridge Finance is currently generating about -0.1 per unit of risk. If you would invest 8,336 in SEI Investments on December 27, 2024 and sell it today you would lose (504.00) from holding SEI Investments or give up 6.05% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SEI Investments vs. Logan Ridge Finance
Performance |
Timeline |
SEI Investments |
Logan Ridge Finance |
SEI Investments and Logan Ridge Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SEI Investments and Logan Ridge
The main advantage of trading using opposite SEI Investments and Logan Ridge positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SEI Investments position performs unexpectedly, Logan Ridge 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 Logan Ridge will offset losses from the drop in Logan Ridge's long position.SEI Investments vs. Commerce Bancshares | SEI Investments vs. RLI Corp | SEI Investments vs. Westamerica Bancorporation | SEI Investments vs. Brown Brown |
Logan Ridge vs. Badger Infrastructure Solutions | Logan Ridge vs. Portman Ridge Finance | Logan Ridge vs. Inotiv Inc | Logan Ridge vs. Phenixfin |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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