Correlation Between Power Momentum and Power Floating
Can any of the company-specific risk be diversified away by investing in both Power Momentum and Power Floating 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 Momentum and Power Floating into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Power Momentum Index and Power Floating Rate, you can compare the effects of market volatilities on Power Momentum and Power Floating 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 Momentum with a short position of Power Floating. Check out your portfolio center. Please also check ongoing floating volatility patterns of Power Momentum and Power Floating.
Diversification Opportunities for Power Momentum and Power Floating
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Power and Power is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Power Momentum Index and Power Floating Rate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Power Floating Rate and Power Momentum 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 Momentum Index are associated (or correlated) with Power Floating. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Power Floating Rate has no effect on the direction of Power Momentum i.e., Power Momentum and Power Floating go up and down completely randomly.
Pair Corralation between Power Momentum and Power Floating
Assuming the 90 days horizon Power Momentum Index is expected to under-perform the Power Floating. In addition to that, Power Momentum is 12.04 times more volatile than Power Floating Rate. It trades about -0.17 of its total potential returns per unit of risk. Power Floating Rate is currently generating about 0.17 per unit of volatility. If you would invest 969.00 in Power Floating Rate on September 22, 2024 and sell it today you would earn a total of 3.00 from holding Power Floating Rate or generate 0.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Power Momentum Index vs. Power Floating Rate
Performance |
Timeline |
Power Momentum Index |
Power Floating Rate |
Power Momentum and Power Floating Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Power Momentum and Power Floating
The main advantage of trading using opposite Power Momentum and Power Floating positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Power Momentum position performs unexpectedly, Power Floating 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 Floating will offset losses from the drop in Power Floating's long position.Power Momentum vs. Icon Information Technology | Power Momentum vs. Hennessy Technology Fund | Power Momentum vs. Red Oak Technology | Power Momentum vs. Dreyfus Technology Growth |
Power Floating vs. Power Income Fund | Power Floating vs. Power Momentum Index | Power Floating vs. Power Momentum Index | Power Floating 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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