Correlation Between Logan Ridge and United Overseas
Can any of the company-specific risk be diversified away by investing in both Logan Ridge and United Overseas 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 Logan Ridge and United Overseas into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Logan Ridge Finance and United Overseas Bank, you can compare the effects of market volatilities on Logan Ridge and United Overseas 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 Logan Ridge with a short position of United Overseas. Check out your portfolio center. Please also check ongoing floating volatility patterns of Logan Ridge and United Overseas.
Diversification Opportunities for Logan Ridge and United Overseas
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Logan and United is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Logan Ridge Finance and United Overseas Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United Overseas Bank and Logan Ridge 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 Logan Ridge Finance are associated (or correlated) with United Overseas. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United Overseas Bank has no effect on the direction of Logan Ridge i.e., Logan Ridge and United Overseas go up and down completely randomly.
Pair Corralation between Logan Ridge and United Overseas
Given the investment horizon of 90 days Logan Ridge is expected to generate 1.24 times less return on investment than United Overseas. But when comparing it to its historical volatility, Logan Ridge Finance is 1.3 times less risky than United Overseas. It trades about 0.2 of its potential returns per unit of risk. United Overseas Bank is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 4,894 in United Overseas Bank on September 3, 2024 and sell it today you would earn a total of 551.00 from holding United Overseas Bank or generate 11.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Logan Ridge Finance vs. United Overseas Bank
Performance |
Timeline |
Logan Ridge Finance |
United Overseas Bank |
Logan Ridge and United Overseas Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Logan Ridge and United Overseas
The main advantage of trading using opposite Logan Ridge and United Overseas positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Logan Ridge position performs unexpectedly, United Overseas 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 United Overseas will offset losses from the drop in United Overseas' long position.Logan Ridge vs. Badger Infrastructure Solutions | Logan Ridge vs. Portman Ridge Finance | Logan Ridge vs. Inotiv Inc | Logan Ridge vs. Phenixfin |
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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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