Correlation Between SoFi Technologies and Oxford Square
Can any of the company-specific risk be diversified away by investing in both SoFi Technologies 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 SoFi Technologies and Oxford Square into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SoFi Technologies and Oxford Square Capital, you can compare the effects of market volatilities on SoFi Technologies 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 SoFi Technologies with a short position of Oxford Square. Check out your portfolio center. Please also check ongoing floating volatility patterns of SoFi Technologies and Oxford Square.
Diversification Opportunities for SoFi Technologies and Oxford Square
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between SoFi and Oxford is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding SoFi Technologies 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 SoFi Technologies 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 SoFi Technologies 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 SoFi Technologies i.e., SoFi Technologies and Oxford Square go up and down completely randomly.
Pair Corralation between SoFi Technologies and Oxford Square
Given the investment horizon of 90 days SoFi Technologies is expected to generate 3.3 times more return on investment than Oxford Square. However, SoFi Technologies is 3.3 times more volatile than Oxford Square Capital. It trades about 0.37 of its potential returns per unit of risk. Oxford Square Capital is currently generating about -0.09 per unit of risk. If you would invest 746.00 in SoFi Technologies on September 12, 2024 and sell it today you would earn a total of 783.00 from holding SoFi Technologies or generate 104.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SoFi Technologies vs. Oxford Square Capital
Performance |
Timeline |
SoFi Technologies |
Oxford Square Capital |
SoFi Technologies and Oxford Square Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SoFi Technologies and Oxford Square
The main advantage of trading using opposite SoFi Technologies and Oxford Square positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SoFi Technologies 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.SoFi Technologies vs. Victory Integrity Smallmid Cap | SoFi Technologies vs. Hilton Worldwide Holdings | SoFi Technologies vs. NVIDIA | SoFi Technologies vs. JPMorgan Chase Co |
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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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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