Correlation Between Great Elm and Oxford Square
Can any of the company-specific risk be diversified away by investing in both Great Elm 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 Great Elm and Oxford Square into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Great Elm Capital and Oxford Square Capital, you can compare the effects of market volatilities on Great Elm 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 Great Elm with a short position of Oxford Square. Check out your portfolio center. Please also check ongoing floating volatility patterns of Great Elm and Oxford Square.
Diversification Opportunities for Great Elm and Oxford Square
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Great and Oxford is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Great Elm Capital 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 Great Elm 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 Great Elm Capital 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 Great Elm i.e., Great Elm and Oxford Square go up and down completely randomly.
Pair Corralation between Great Elm and Oxford Square
If you would invest 2,500 in Oxford Square Capital on August 29, 2024 and sell it today you would earn a total of 0.00 from holding Oxford Square Capital or generate 0.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Great Elm Capital vs. Oxford Square Capital
Performance |
| Timeline |
| Great Elm Capital |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
| Oxford Square Capital |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Great Elm and Oxford Square Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Great Elm and Oxford Square
The main advantage of trading using opposite Great Elm and Oxford Square positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Great Elm 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.The idea behind Great Elm Capital and Oxford Square Capital pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Oxford Square vs. Oxford Square Capital | Oxford Square vs. B Riley Financial | Oxford Square vs. B Riley Financial |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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