Correlation Between Power Momentum and Power Dividend
Can any of the company-specific risk be diversified away by investing in both Power Momentum 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 Power Momentum and Power Dividend 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 Dividend Index, you can compare the effects of market volatilities on Power Momentum 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 Power Momentum with a short position of Power Dividend. Check out your portfolio center. Please also check ongoing floating volatility patterns of Power Momentum and Power Dividend.
Diversification Opportunities for Power Momentum and Power Dividend
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Power and Power is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Power Momentum Index 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 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 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 Power Momentum i.e., Power Momentum and Power Dividend go up and down completely randomly.
Pair Corralation between Power Momentum and Power Dividend
Assuming the 90 days horizon Power Momentum Index is expected to generate 1.43 times more return on investment than Power Dividend. However, Power Momentum is 1.43 times more volatile than Power Dividend Index. It trades about -0.17 of its potential returns per unit of risk. Power Dividend Index is currently generating about -0.35 per unit of risk. If you would invest 1,409 in Power Momentum Index on September 22, 2024 and sell it today you would lose (55.00) from holding Power Momentum Index or give up 3.9% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Power Momentum Index vs. Power Dividend Index
Performance |
Timeline |
Power Momentum Index |
Power Dividend Index |
Power Momentum and Power Dividend Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Power Momentum and Power Dividend
The main advantage of trading using opposite Power Momentum and Power Dividend positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Power Momentum 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.Power Momentum vs. Icon Information Technology | Power Momentum vs. Hennessy Technology Fund | Power Momentum vs. Red Oak Technology | Power Momentum vs. Dreyfus Technology Growth |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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