Correlation Between Northern High and Northern Global
Can any of the company-specific risk be diversified away by investing in both Northern High and Northern Global 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 High and Northern Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Northern High Yield and Northern Global Real, you can compare the effects of market volatilities on Northern High and Northern Global 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 High with a short position of Northern Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Northern High and Northern Global.
Diversification Opportunities for Northern High and Northern Global
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Northern and Northern is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Northern High Yield and Northern Global Real in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Northern Global Real and Northern High 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 High Yield are associated (or correlated) with Northern Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Northern Global Real has no effect on the direction of Northern High i.e., Northern High and Northern Global go up and down completely randomly.
Pair Corralation between Northern High and Northern Global
Assuming the 90 days horizon Northern High is expected to generate 1.45 times less return on investment than Northern Global. But when comparing it to its historical volatility, Northern High Yield is 3.39 times less risky than Northern Global. It trades about 0.16 of its potential returns per unit of risk. Northern Global Real is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 860.00 in Northern Global Real on August 29, 2024 and sell it today you would earn a total of 174.00 from holding Northern Global Real or generate 20.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Northern High Yield vs. Northern Global Real
Performance |
Timeline |
Northern High Yield |
Northern Global Real |
Northern High and Northern Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Northern High and Northern Global
The main advantage of trading using opposite Northern High and Northern Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Northern High position performs unexpectedly, Northern Global 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 Global will offset losses from the drop in Northern Global's long position.Northern High vs. Northern Emerging Markets | Northern High vs. Northern Global Real | Northern High vs. Northern International Equity | Northern High vs. Northern Small Cap |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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