Correlation Between New Economy and Kopernik International
Can any of the company-specific risk be diversified away by investing in both New Economy and Kopernik International 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 Economy and Kopernik International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between New Economy Fund and Kopernik International Fund, you can compare the effects of market volatilities on New Economy and Kopernik International 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 Economy with a short position of Kopernik International. Check out your portfolio center. Please also check ongoing floating volatility patterns of New Economy and Kopernik International.
Diversification Opportunities for New Economy and Kopernik International
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between New and Kopernik is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding New Economy Fund and Kopernik International Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kopernik International and New Economy 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 Economy Fund are associated (or correlated) with Kopernik International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kopernik International has no effect on the direction of New Economy i.e., New Economy and Kopernik International go up and down completely randomly.
Pair Corralation between New Economy and Kopernik International
Assuming the 90 days horizon New Economy Fund is expected to generate 1.16 times more return on investment than Kopernik International. However, New Economy is 1.16 times more volatile than Kopernik International Fund. It trades about 0.15 of its potential returns per unit of risk. Kopernik International Fund is currently generating about -0.07 per unit of risk. If you would invest 6,337 in New Economy Fund on September 17, 2024 and sell it today you would earn a total of 514.00 from holding New Economy Fund or generate 8.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
New Economy Fund vs. Kopernik International Fund
Performance |
Timeline |
New Economy Fund |
Kopernik International |
New Economy and Kopernik International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with New Economy and Kopernik International
The main advantage of trading using opposite New Economy and Kopernik International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if New Economy position performs unexpectedly, Kopernik International 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 Kopernik International will offset losses from the drop in Kopernik International's long position.New Economy vs. Income Fund Of | New Economy vs. New World Fund | New Economy vs. American Mutual Fund | New Economy vs. American Mutual Fund |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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