Correlation Between Kinetics Global and Power Dividend
Can any of the company-specific risk be diversified away by investing in both Kinetics Global and Power Dividend 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 Power Dividend 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 Power Dividend Index, you can compare the effects of market volatilities on Kinetics Global and Power Dividend 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 Power Dividend. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kinetics Global and Power Dividend.
Diversification Opportunities for Kinetics Global and Power Dividend
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Kinetics and Power is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Kinetics Global Fund and Power Dividend Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Power Dividend Index 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 Power Dividend. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Power Dividend Index has no effect on the direction of Kinetics Global i.e., Kinetics Global and Power Dividend go up and down completely randomly.
Pair Corralation between Kinetics Global and Power Dividend
Assuming the 90 days horizon Kinetics Global Fund is expected to generate 1.69 times more return on investment than Power Dividend. However, Kinetics Global is 1.69 times more volatile than Power Dividend Index. It trades about 0.12 of its potential returns per unit of risk. Power Dividend Index is currently generating about 0.04 per unit of risk. If you would invest 801.00 in Kinetics Global Fund on September 3, 2024 and sell it today you would earn a total of 845.00 from holding Kinetics Global Fund or generate 105.49% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Kinetics Global Fund vs. Power Dividend Index
Performance |
| Timeline |
| Kinetics Global |
| Power Dividend Index |
Kinetics Global and Power Dividend Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Kinetics Global and Power Dividend
The main advantage of trading using opposite Kinetics Global and Power Dividend positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kinetics Global position performs unexpectedly, Power Dividend 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 Power Dividend will offset losses from the drop in Power Dividend's long position.| Kinetics Global vs. Multisector Bond Sma | Kinetics Global vs. Blrc Sgy Mnp | Kinetics Global vs. Maryland Tax Free Bond | Kinetics Global vs. Ambrus Core Bond |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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