Correlation Between Northern Data and Continental
Can any of the company-specific risk be diversified away by investing in both Northern Data and Continental 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 Northern Data and Continental into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Northern Data AG and Camden Property Trust, you can compare the effects of market volatilities on Northern Data and Continental 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 Northern Data with a short position of Continental. Check out your portfolio center. Please also check ongoing floating volatility patterns of Northern Data and Continental.
Diversification Opportunities for Northern Data and Continental
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between Northern and Continental is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding Northern Data AG and Camden Property Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Camden Property Trust and Northern Data 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 Northern Data AG are associated (or correlated) with Continental. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Camden Property Trust has no effect on the direction of Northern Data i.e., Northern Data and Continental go up and down completely randomly.
Pair Corralation between Northern Data and Continental
Assuming the 90 days trading horizon Northern Data AG is expected to under-perform the Continental. In addition to that, Northern Data is 2.71 times more volatile than Camden Property Trust. It trades about -0.22 of its total potential returns per unit of risk. Camden Property Trust is currently generating about 0.03 per unit of volatility. If you would invest 11,000 in Camden Property Trust on December 26, 2024 and sell it today you would earn a total of 200.00 from holding Camden Property Trust or generate 1.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Northern Data AG vs. Camden Property Trust
Performance |
Timeline |
Northern Data AG |
Camden Property Trust |
Northern Data and Continental Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Northern Data and Continental
The main advantage of trading using opposite Northern Data and Continental positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Northern Data position performs unexpectedly, Continental 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 Continental will offset losses from the drop in Continental's long position.Northern Data vs. Pets at Home | Northern Data vs. PRINCIPAL FINANCIAL | Northern Data vs. CHIBA BANK | Northern Data vs. COREBRIDGE FINANCIAL INC |
Continental vs. OAKTRSPECLENDNEW | Continental vs. Erste Group Bank | Continental vs. CLEAN ENERGY FUELS | Continental vs. RESMINING UNSPADR10 |
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 Commodity Directory module to find actively traded commodities issued by global exchanges.
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