Correlation Between Oxford Square and National Rural
Can any of the company-specific risk be diversified away by investing in both Oxford Square and National Rural 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 National Rural 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 National Rural Utilities, you can compare the effects of market volatilities on Oxford Square and National Rural 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 National Rural. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oxford Square and National Rural.
Diversification Opportunities for Oxford Square and National Rural
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Oxford and National is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Oxford Square Capital and National Rural Utilities in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on National Rural Utilities 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 National Rural. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of National Rural Utilities has no effect on the direction of Oxford Square i.e., Oxford Square and National Rural go up and down completely randomly.
Pair Corralation between Oxford Square and National Rural
Assuming the 90 days horizon Oxford Square Capital is expected to generate 0.91 times more return on investment than National Rural. However, Oxford Square Capital is 1.1 times less risky than National Rural. It trades about 0.07 of its potential returns per unit of risk. National Rural Utilities is currently generating about 0.04 per unit of risk. If you would invest 2,016 in Oxford Square Capital on September 12, 2024 and sell it today you would earn a total of 328.00 from holding Oxford Square Capital or generate 16.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Oxford Square Capital vs. National Rural Utilities
Performance |
Timeline |
Oxford Square Capital |
National Rural Utilities |
Oxford Square and National Rural Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oxford Square and National Rural
The main advantage of trading using opposite Oxford Square and National Rural positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oxford Square position performs unexpectedly, National Rural 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 National Rural will offset losses from the drop in National Rural's long position.Oxford Square vs. Oxford Square Capital | Oxford Square vs. Oxford Lane Capital | Oxford Square vs. B Riley Financial | Oxford Square vs. Gladstone Investment |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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