Correlation Between Kinetics Global and Emerging Markets
Can any of the company-specific risk be diversified away by investing in both Kinetics Global and Emerging Markets 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 Kinetics Global and Emerging Markets into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kinetics Global Fund and Emerging Markets Fund, you can compare the effects of market volatilities on Kinetics Global and Emerging Markets 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 Kinetics Global with a short position of Emerging Markets. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kinetics Global and Emerging Markets.
Diversification Opportunities for Kinetics Global and Emerging Markets
-0.29 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Kinetics and Emerging is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding Kinetics Global Fund and Emerging Markets Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Emerging Markets and Kinetics 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 Kinetics Global Fund are associated (or correlated) with Emerging Markets. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Emerging Markets has no effect on the direction of Kinetics Global i.e., Kinetics Global and Emerging Markets go up and down completely randomly.
Pair Corralation between Kinetics Global and Emerging Markets
Assuming the 90 days horizon Kinetics Global Fund is expected to generate 1.47 times more return on investment than Emerging Markets. However, Kinetics Global is 1.47 times more volatile than Emerging Markets Fund. It trades about 0.29 of its potential returns per unit of risk. Emerging Markets Fund is currently generating about 0.06 per unit of risk. If you would invest 1,172 in Kinetics Global Fund on September 14, 2024 and sell it today you would earn a total of 359.00 from holding Kinetics Global Fund or generate 30.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Kinetics Global Fund vs. Emerging Markets Fund
Performance |
Timeline |
Kinetics Global |
Emerging Markets |
Kinetics Global and Emerging Markets Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kinetics Global and Emerging Markets
The main advantage of trading using opposite Kinetics Global and Emerging Markets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kinetics Global position performs unexpectedly, Emerging Markets 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 Emerging Markets will offset losses from the drop in Emerging Markets' long position.Kinetics Global vs. Nasdaq 100 Index Fund | Kinetics Global vs. Ab Value Fund | Kinetics Global vs. Volumetric Fund Volumetric | Kinetics Global vs. Auer Growth 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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