Correlation Between Power Floating and Stock Index
Can any of the company-specific risk be diversified away by investing in both Power Floating and Stock Index 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 Stock Index 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 Stock Index Fund, you can compare the effects of market volatilities on Power Floating and Stock Index 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 Stock Index. Check out your portfolio center. Please also check ongoing floating volatility patterns of Power Floating and Stock Index.
Diversification Opportunities for Power Floating and Stock Index
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Power and Stock is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding Power Floating Rate and Stock Index Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stock Index Fund 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 Stock Index. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stock Index Fund has no effect on the direction of Power Floating i.e., Power Floating and Stock Index go up and down completely randomly.
Pair Corralation between Power Floating and Stock Index
Assuming the 90 days horizon Power Floating is expected to generate 2.54 times less return on investment than Stock Index. But when comparing it to its historical volatility, Power Floating Rate is 8.9 times less risky than Stock Index. It trades about 0.33 of its potential returns per unit of risk. Stock Index Fund is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 3,972 in Stock Index Fund on September 19, 2024 and sell it today you would earn a total of 400.00 from holding Stock Index Fund or generate 10.07% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 99.21% |
Values | Daily Returns |
Power Floating Rate vs. Stock Index Fund
Performance |
Timeline |
Power Floating Rate |
Stock Index Fund |
Power Floating and Stock Index Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Power Floating and Stock Index
The main advantage of trading using opposite Power Floating and Stock Index positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Power Floating position performs unexpectedly, Stock Index 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 Stock Index will offset losses from the drop in Stock Index's long position.Power Floating vs. Power Global Tactical | Power Floating vs. Herzfeld Caribbean Basin | Power Floating vs. Vanguard 500 Index | Power Floating vs. New Economy Fund |
Stock Index vs. Value Fund Value | Stock Index vs. Growth Fund Growth | Stock Index vs. International Equity Fund | Stock Index vs. Short Term Bond Fund |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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