Correlation Between North Square and Oak Ridge
Can any of the company-specific risk be diversified away by investing in both North Square and Oak Ridge 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 North Square and Oak Ridge into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between North Square Kennedy and Oak Ridge Dynamic, you can compare the effects of market volatilities on North Square and Oak Ridge 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 North Square with a short position of Oak Ridge. Check out your portfolio center. Please also check ongoing floating volatility patterns of North Square and Oak Ridge.
Diversification Opportunities for North Square and Oak Ridge
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between North and Oak is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding North Square Kennedy and Oak Ridge Dynamic in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oak Ridge Dynamic and North 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 North Square Kennedy are associated (or correlated) with Oak Ridge. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oak Ridge Dynamic has no effect on the direction of North Square i.e., North Square and Oak Ridge go up and down completely randomly.
Pair Corralation between North Square and Oak Ridge
Assuming the 90 days horizon North Square Kennedy is expected to generate 0.96 times more return on investment than Oak Ridge. However, North Square Kennedy is 1.05 times less risky than Oak Ridge. It trades about -0.03 of its potential returns per unit of risk. Oak Ridge Dynamic is currently generating about -0.08 per unit of risk. If you would invest 1,184 in North Square Kennedy on December 27, 2024 and sell it today you would lose (33.00) from holding North Square Kennedy or give up 2.79% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.36% |
Values | Daily Returns |
North Square Kennedy vs. Oak Ridge Dynamic
Performance |
Timeline |
North Square Kennedy |
Oak Ridge Dynamic |
North Square and Oak Ridge Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with North Square and Oak Ridge
The main advantage of trading using opposite North Square and Oak Ridge positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if North Square position performs unexpectedly, Oak Ridge 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 Oak Ridge will offset losses from the drop in Oak Ridge's long position.North Square vs. Goldman Sachs Short | North Square vs. Calvert Short Duration | North Square vs. Old Westbury Short Term | North Square vs. Transam Short Term Bond |
Oak Ridge vs. Advisory Research Strategic | Oak Ridge vs. Advisory Research All | Oak Ridge vs. Api Efficient Frontier | Oak Ridge vs. Oak Ridge Multi |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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