Correlation Between Power Floating and Power Income
Can any of the company-specific risk be diversified away by investing in both Power Floating and Power Income 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 Power Floating and Power Income into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Power Floating Rate and Power Income Fund, you can compare the effects of market volatilities on Power Floating and Power Income 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 Power Floating with a short position of Power Income. Check out your portfolio center. Please also check ongoing floating volatility patterns of Power Floating and Power Income.
Diversification Opportunities for Power Floating and Power Income
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Power and Power is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Power Floating Rate and Power Income Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Power Income and Power Floating 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 Power Floating Rate are associated (or correlated) with Power Income. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Power Income has no effect on the direction of Power Floating i.e., Power Floating and Power Income go up and down completely randomly.
Pair Corralation between Power Floating and Power Income
Assuming the 90 days horizon Power Floating Rate is expected to generate 0.43 times more return on investment than Power Income. However, Power Floating Rate is 2.32 times less risky than Power Income. It trades about 0.41 of its potential returns per unit of risk. Power Income Fund is currently generating about 0.02 per unit of risk. If you would invest 953.00 in Power Floating Rate on August 28, 2024 and sell it today you would earn a total of 17.00 from holding Power Floating Rate or generate 1.78% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Power Floating Rate vs. Power Income Fund
Performance |
| Timeline |
| Power Floating Rate |
| Power Income |
Power Floating and Power Income Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Power Floating and Power Income
The main advantage of trading using opposite Power Floating and Power Income positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Power Floating position performs unexpectedly, Power Income 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 Income will offset losses from the drop in Power Income's long position.| Power Floating vs. Power Income Fund | Power Floating vs. Power Momentum Index | Power Floating vs. Power Momentum Index | Power Floating vs. Power Momentum Index |
| Power Income vs. Power Income Fund | Power Income vs. Power Momentum Index | Power Income vs. Power Momentum Index | Power Income vs. Power Momentum Index |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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