Correlation Between Preferred Securities and Voya High
Can any of the company-specific risk be diversified away by investing in both Preferred Securities and Voya High 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 Preferred Securities and Voya High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Preferred Securities Fund and Voya High Yield, you can compare the effects of market volatilities on Preferred Securities and Voya High 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 Preferred Securities with a short position of Voya High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Preferred Securities and Voya High.
Diversification Opportunities for Preferred Securities and Voya High
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Preferred and Voya is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Preferred Securities Fund and Voya High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Voya High Yield and Preferred Securities 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 Preferred Securities Fund are associated (or correlated) with Voya High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Voya High Yield has no effect on the direction of Preferred Securities i.e., Preferred Securities and Voya High go up and down completely randomly.
Pair Corralation between Preferred Securities and Voya High
Assuming the 90 days horizon Preferred Securities is expected to generate 4.91 times less return on investment than Voya High. But when comparing it to its historical volatility, Preferred Securities Fund is 1.34 times less risky than Voya High. It trades about 0.04 of its potential returns per unit of risk. Voya High Yield is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 862.00 in Voya High Yield on October 24, 2024 and sell it today you would earn a total of 14.00 from holding Voya High Yield or generate 1.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Preferred Securities Fund vs. Voya High Yield
Performance |
Timeline |
Preferred Securities |
Voya High Yield |
Preferred Securities and Voya High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Preferred Securities and Voya High
The main advantage of trading using opposite Preferred Securities and Voya High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Preferred Securities position performs unexpectedly, Voya High 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 Voya High will offset losses from the drop in Voya High's long position.Preferred Securities vs. Sp Smallcap 600 | Preferred Securities vs. Tfa Alphagen Growth | Preferred Securities vs. Rational Defensive Growth | Preferred Securities vs. Lebenthal Lisanti Small |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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