Correlation Between Voya Intermediate and Vy(r) Columbia
Can any of the company-specific risk be diversified away by investing in both Voya Intermediate and Vy(r) Columbia 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 Voya Intermediate and Vy(r) Columbia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Voya Intermediate Bond and Vy Umbia Small, you can compare the effects of market volatilities on Voya Intermediate and Vy(r) Columbia 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 Voya Intermediate with a short position of Vy(r) Columbia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Voya Intermediate and Vy(r) Columbia.
Diversification Opportunities for Voya Intermediate and Vy(r) Columbia
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Voya and Vy(r) is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Voya Intermediate Bond and Vy Umbia Small in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vy Umbia Small and Voya Intermediate 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 Voya Intermediate Bond are associated (or correlated) with Vy(r) Columbia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vy Umbia Small has no effect on the direction of Voya Intermediate i.e., Voya Intermediate and Vy(r) Columbia go up and down completely randomly.
Pair Corralation between Voya Intermediate and Vy(r) Columbia
Assuming the 90 days horizon Voya Intermediate is expected to generate 8.94 times less return on investment than Vy(r) Columbia. But when comparing it to its historical volatility, Voya Intermediate Bond is 4.06 times less risky than Vy(r) Columbia. It trades about 0.1 of its potential returns per unit of risk. Vy Umbia Small is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 1,355 in Vy Umbia Small on April 22, 2025 and sell it today you would earn a total of 217.00 from holding Vy Umbia Small or generate 16.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Voya Intermediate Bond vs. Vy Umbia Small
Performance |
Timeline |
Voya Intermediate Bond |
Vy Umbia Small |
Voya Intermediate and Vy(r) Columbia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Voya Intermediate and Vy(r) Columbia
The main advantage of trading using opposite Voya Intermediate and Vy(r) Columbia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Voya Intermediate position performs unexpectedly, Vy(r) Columbia 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 Vy(r) Columbia will offset losses from the drop in Vy(r) Columbia's long position.Voya Intermediate vs. Fidelity Capital Income | Voya Intermediate vs. Payden High Income | Voya Intermediate vs. Neuberger Berman Income | Voya Intermediate vs. Dunham High Yield |
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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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