Correlation Between Kopernik Global and New Economy
Can any of the company-specific risk be diversified away by investing in both Kopernik Global and New Economy 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 Kopernik Global and New Economy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kopernik Global All Cap and New Economy Fund, you can compare the effects of market volatilities on Kopernik Global and New Economy 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 Kopernik Global with a short position of New Economy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kopernik Global and New Economy.
Diversification Opportunities for Kopernik Global and New Economy
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Kopernik and New is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Kopernik Global All Cap and New Economy Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on New Economy Fund and Kopernik Global 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 Kopernik Global All Cap are associated (or correlated) with New Economy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of New Economy Fund has no effect on the direction of Kopernik Global i.e., Kopernik Global and New Economy go up and down completely randomly.
Pair Corralation between Kopernik Global and New Economy
Assuming the 90 days horizon Kopernik Global All Cap is expected to under-perform the New Economy. But the mutual fund apears to be less risky and, when comparing its historical volatility, Kopernik Global All Cap is 1.12 times less risky than New Economy. The mutual fund trades about -0.03 of its potential returns per unit of risk. The New Economy Fund is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 6,314 in New Economy Fund on September 18, 2024 and sell it today you would earn a total of 621.00 from holding New Economy Fund or generate 9.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Kopernik Global All Cap vs. New Economy Fund
Performance |
Timeline |
Kopernik Global All |
New Economy Fund |
Kopernik Global and New Economy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kopernik Global and New Economy
The main advantage of trading using opposite Kopernik Global and New Economy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kopernik Global position performs unexpectedly, New Economy 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 New Economy will offset losses from the drop in New Economy's long position.Kopernik Global vs. Kopernik International Fund | Kopernik Global vs. Kopernik International | Kopernik Global vs. Vanguard High Yield Corporate | Kopernik Global vs. Investment Of America |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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