Correlation Between Visa and Oxford Square
Can any of the company-specific risk be diversified away by investing in both Visa and Oxford Square 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 Visa and Oxford Square into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Visa Class A and Oxford Square Capital, you can compare the effects of market volatilities on Visa and Oxford Square 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 Visa with a short position of Oxford Square. Check out your portfolio center. Please also check ongoing floating volatility patterns of Visa and Oxford Square.
Diversification Opportunities for Visa and Oxford Square
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Visa and Oxford is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Visa Class A and Oxford Square Capital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oxford Square Capital and Visa 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 Visa Class A are associated (or correlated) with Oxford Square. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oxford Square Capital has no effect on the direction of Visa i.e., Visa and Oxford Square go up and down completely randomly.
Pair Corralation between Visa and Oxford Square
Taking into account the 90-day investment horizon Visa is expected to generate 1.09 times less return on investment than Oxford Square. But when comparing it to its historical volatility, Visa Class A is 1.07 times less risky than Oxford Square. It trades about 0.33 of its potential returns per unit of risk. Oxford Square Capital is currently generating about 0.34 of returns per unit of risk over similar time horizon. If you would invest 264.00 in Oxford Square Capital on December 1, 2024 and sell it today you would earn a total of 17.00 from holding Oxford Square Capital or generate 6.44% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Visa Class A vs. Oxford Square Capital
Performance |
| Timeline |
| Visa Class A |
| Oxford Square Capital |
Visa and Oxford Square Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Visa and Oxford Square
The main advantage of trading using opposite Visa and Oxford Square positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Visa position performs unexpectedly, Oxford Square 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 Oxford Square will offset losses from the drop in Oxford Square's long position.| Visa vs. American Express | Visa vs. PayPal Holdings | Visa vs. Capital One Financial | Visa vs. Upstart Holdings |
| Oxford Square vs. Eagle Point Credit | Oxford Square vs. Cornerstone Strategic Return | Oxford Square vs. Cornerstone Strategic Value | Oxford Square vs. Guggenheim Strategic Opportunities |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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