Correlation Between Oxford Square and Eagle Pointome
Can any of the company-specific risk be diversified away by investing in both Oxford Square and Eagle Pointome 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 Oxford Square and Eagle Pointome into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Oxford Square Capital and Eagle Pointome, you can compare the effects of market volatilities on Oxford Square and Eagle Pointome 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 Oxford Square with a short position of Eagle Pointome. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oxford Square and Eagle Pointome.
Diversification Opportunities for Oxford Square and Eagle Pointome
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Oxford and Eagle is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Oxford Square Capital and Eagle Pointome in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eagle Pointome and Oxford Square 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 Oxford Square Capital are associated (or correlated) with Eagle Pointome. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eagle Pointome has no effect on the direction of Oxford Square i.e., Oxford Square and Eagle Pointome go up and down completely randomly.
Pair Corralation between Oxford Square and Eagle Pointome
Given the investment horizon of 90 days Oxford Square Capital is expected to generate 1.18 times more return on investment than Eagle Pointome. However, Oxford Square is 1.18 times more volatile than Eagle Pointome. It trades about 0.12 of its potential returns per unit of risk. Eagle Pointome is currently generating about 0.03 per unit of risk. If you would invest 237.00 in Oxford Square Capital on December 27, 2024 and sell it today you would earn a total of 20.00 from holding Oxford Square Capital or generate 8.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Oxford Square Capital vs. Eagle Pointome
Performance |
Timeline |
Oxford Square Capital |
Eagle Pointome |
Oxford Square and Eagle Pointome Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oxford Square and Eagle Pointome
The main advantage of trading using opposite Oxford Square and Eagle Pointome positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oxford Square position performs unexpectedly, Eagle Pointome 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 Eagle Pointome will offset losses from the drop in Eagle Pointome's long position.Oxford Square vs. Eagle Point Credit | Oxford Square vs. Cornerstone Strategic Return | Oxford Square vs. Cornerstone Strategic Value | Oxford Square vs. Guggenheim Strategic Opportunities |
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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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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