Correlation Between Transamerica High and Floating Rate
Can any of the company-specific risk be diversified away by investing in both Transamerica High and Floating Rate 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 Transamerica High and Floating Rate into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Transamerica High Yield and Floating Rate Fund, you can compare the effects of market volatilities on Transamerica High and Floating Rate 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 Transamerica High with a short position of Floating Rate. Check out your portfolio center. Please also check ongoing floating volatility patterns of Transamerica High and Floating Rate.
Diversification Opportunities for Transamerica High and Floating Rate
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Transamerica and Floating is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Transamerica High Yield and Floating Rate Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Floating Rate and Transamerica High 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 Transamerica High Yield are associated (or correlated) with Floating Rate. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Floating Rate has no effect on the direction of Transamerica High i.e., Transamerica High and Floating Rate go up and down completely randomly.
Pair Corralation between Transamerica High and Floating Rate
Assuming the 90 days horizon Transamerica High Yield is expected to generate 1.66 times more return on investment than Floating Rate. However, Transamerica High is 1.66 times more volatile than Floating Rate Fund. It trades about 0.32 of its potential returns per unit of risk. Floating Rate Fund is currently generating about 0.27 per unit of risk. If you would invest 813.00 in Transamerica High Yield on October 25, 2024 and sell it today you would earn a total of 12.00 from holding Transamerica High Yield or generate 1.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Transamerica High Yield vs. Floating Rate Fund
Performance |
Timeline |
Transamerica High Yield |
Floating Rate |
Transamerica High and Floating Rate Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Transamerica High and Floating Rate
The main advantage of trading using opposite Transamerica High and Floating Rate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Transamerica High position performs unexpectedly, Floating Rate 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 Floating Rate will offset losses from the drop in Floating Rate's long position.Transamerica High vs. Goldman Sachs Technology | Transamerica High vs. Fidelity Advisor Technology | Transamerica High vs. Icon Information Technology | Transamerica High vs. Science Technology Fund |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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