Correlation Between Oxford Square and First Internet
Can any of the company-specific risk be diversified away by investing in both Oxford Square and First Internet 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 First Internet 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 First Internet Bancorp, you can compare the effects of market volatilities on Oxford Square and First Internet 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 First Internet. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oxford Square and First Internet.
Diversification Opportunities for Oxford Square and First Internet
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Oxford and First is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Oxford Square Capital and First Internet Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Internet Bancorp 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 First Internet. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Internet Bancorp has no effect on the direction of Oxford Square i.e., Oxford Square and First Internet go up and down completely randomly.
Pair Corralation between Oxford Square and First Internet
Assuming the 90 days horizon Oxford Square is expected to generate 2.42 times less return on investment than First Internet. But when comparing it to its historical volatility, Oxford Square Capital is 1.71 times less risky than First Internet. It trades about 0.1 of its potential returns per unit of risk. First Internet Bancorp is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 1,945 in First Internet Bancorp on August 27, 2024 and sell it today you would earn a total of 576.00 from holding First Internet Bancorp or generate 29.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Oxford Square Capital vs. First Internet Bancorp
Performance |
Timeline |
Oxford Square Capital |
First Internet Bancorp |
Oxford Square and First Internet Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oxford Square and First Internet
The main advantage of trading using opposite Oxford Square and First Internet positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oxford Square position performs unexpectedly, First Internet 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 First Internet will offset losses from the drop in First Internet's long position.Oxford Square vs. Brighthouse Financial | Oxford Square vs. American Financial Group | Oxford Square vs. CMS Energy Corp | Oxford Square vs. Reinsurance Group of |
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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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