Correlation Between NEW MILLENNIUM and Northern Data
Can any of the company-specific risk be diversified away by investing in both NEW MILLENNIUM and Northern Data 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 NEW MILLENNIUM and Northern Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NEW MILLENNIUM IRON and Northern Data AG, you can compare the effects of market volatilities on NEW MILLENNIUM and Northern Data 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 NEW MILLENNIUM with a short position of Northern Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of NEW MILLENNIUM and Northern Data.
Diversification Opportunities for NEW MILLENNIUM and Northern Data
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between NEW and Northern is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding NEW MILLENNIUM IRON and Northern Data AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Northern Data AG and NEW MILLENNIUM 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 NEW MILLENNIUM IRON are associated (or correlated) with Northern Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Northern Data AG has no effect on the direction of NEW MILLENNIUM i.e., NEW MILLENNIUM and Northern Data go up and down completely randomly.
Pair Corralation between NEW MILLENNIUM and Northern Data
Assuming the 90 days trading horizon NEW MILLENNIUM IRON is expected to under-perform the Northern Data. But the stock apears to be less risky and, when comparing its historical volatility, NEW MILLENNIUM IRON is 1.87 times less risky than Northern Data. The stock trades about -0.09 of its potential returns per unit of risk. The Northern Data AG is currently generating about 0.3 of returns per unit of risk over similar time horizon. If you would invest 3,215 in Northern Data AG on October 11, 2024 and sell it today you would earn a total of 1,730 from holding Northern Data AG or generate 53.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
NEW MILLENNIUM IRON vs. Northern Data AG
Performance |
Timeline |
NEW MILLENNIUM IRON |
Northern Data AG |
NEW MILLENNIUM and Northern Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NEW MILLENNIUM and Northern Data
The main advantage of trading using opposite NEW MILLENNIUM and Northern Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NEW MILLENNIUM position performs unexpectedly, Northern Data 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 Northern Data will offset losses from the drop in Northern Data's long position.NEW MILLENNIUM vs. QINGCI GAMES INC | NEW MILLENNIUM vs. Boyd Gaming | NEW MILLENNIUM vs. UPDATE SOFTWARE | NEW MILLENNIUM vs. Align Technology |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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