Correlation Between Oxford Square and Goldman Sachs
Can any of the company-specific risk be diversified away by investing in both Oxford Square and Goldman Sachs 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 Goldman Sachs 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 Goldman Sachs BDC, you can compare the effects of market volatilities on Oxford Square and Goldman Sachs 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 Goldman Sachs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oxford Square and Goldman Sachs.
Diversification Opportunities for Oxford Square and Goldman Sachs
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between Oxford and Goldman is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding Oxford Square Capital and Goldman Sachs BDC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goldman Sachs BDC 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 Goldman Sachs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goldman Sachs BDC has no effect on the direction of Oxford Square i.e., Oxford Square and Goldman Sachs go up and down completely randomly.
Pair Corralation between Oxford Square and Goldman Sachs
Given the investment horizon of 90 days Oxford Square is expected to generate 43.0 times less return on investment than Goldman Sachs. But when comparing it to its historical volatility, Oxford Square Capital is 1.17 times less risky than Goldman Sachs. It trades about 0.0 of its potential returns per unit of risk. Goldman Sachs BDC is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 997.00 in Goldman Sachs BDC on May 7, 2025 and sell it today you would earn a total of 114.00 from holding Goldman Sachs BDC or generate 11.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Oxford Square Capital vs. Goldman Sachs BDC
Performance |
Timeline |
Oxford Square Capital |
Goldman Sachs BDC |
Oxford Square and Goldman Sachs Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oxford Square and Goldman Sachs
The main advantage of trading using opposite Oxford Square and Goldman Sachs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oxford Square position performs unexpectedly, Goldman Sachs 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 Goldman Sachs will offset losses from the drop in Goldman Sachs' 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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