Correlation Between NYSE Composite and Oxford Square
Can any of the company-specific risk be diversified away by investing in both NYSE Composite 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 NYSE Composite and Oxford Square into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Oxford Square Capital, you can compare the effects of market volatilities on NYSE Composite 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 NYSE Composite with a short position of Oxford Square. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Oxford Square.
Diversification Opportunities for NYSE Composite and Oxford Square
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between NYSE and Oxford is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite 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 NYSE Composite 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 NYSE Composite 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 NYSE Composite i.e., NYSE Composite and Oxford Square go up and down completely randomly.
Pair Corralation between NYSE Composite and Oxford Square
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.7 times more return on investment than Oxford Square. However, NYSE Composite is 1.42 times less risky than Oxford Square. It trades about 0.19 of its potential returns per unit of risk. Oxford Square Capital is currently generating about -0.42 per unit of risk. If you would invest 1,956,073 in NYSE Composite on August 25, 2024 and sell it today you would earn a total of 56,272 from holding NYSE Composite or generate 2.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. Oxford Square Capital
Performance |
Timeline |
NYSE Composite and Oxford Square Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Oxford Square Capital
Pair trading matchups for Oxford Square
Pair Trading with NYSE Composite and Oxford Square
The main advantage of trading using opposite NYSE Composite and Oxford Square positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite 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.NYSE Composite vs. Glacier Bancorp | NYSE Composite vs. LithiumBank Resources Corp | NYSE Composite vs. Stepstone Group | NYSE Composite vs. Pintec Technology 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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Other Complementary Tools
Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities |