Correlation Between Us Government and Voya Vacs
Can any of the company-specific risk be diversified away by investing in both Us Government and Voya Vacs 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 Us Government and Voya Vacs into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Us Government Securities and Voya Vacs Index, you can compare the effects of market volatilities on Us Government and Voya Vacs 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 Us Government with a short position of Voya Vacs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Us Government and Voya Vacs.
Diversification Opportunities for Us Government and Voya Vacs
0.08 | Correlation Coefficient |
Significant diversification
The 3 months correlation between AMUSX and Voya is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding Us Government Securities and Voya Vacs Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Voya Vacs Index and Us Government 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 Us Government Securities are associated (or correlated) with Voya Vacs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Voya Vacs Index has no effect on the direction of Us Government i.e., Us Government and Voya Vacs go up and down completely randomly.
Pair Corralation between Us Government and Voya Vacs
Assuming the 90 days horizon Us Government Securities is expected to under-perform the Voya Vacs. But the mutual fund apears to be less risky and, when comparing its historical volatility, Us Government Securities is 2.92 times less risky than Voya Vacs. The mutual fund trades about -0.12 of its potential returns per unit of risk. The Voya Vacs Index is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 1,219 in Voya Vacs Index on October 6, 2024 and sell it today you would earn a total of 19.00 from holding Voya Vacs Index or generate 1.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Us Government Securities vs. Voya Vacs Index
Performance |
Timeline |
Us Government Securities |
Voya Vacs Index |
Us Government and Voya Vacs Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Us Government and Voya Vacs
The main advantage of trading using opposite Us Government and Voya Vacs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Us Government position performs unexpectedly, Voya Vacs 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 Vacs will offset losses from the drop in Voya Vacs' long position.Us Government vs. Vy Clarion Real | Us Government vs. John Hancock Variable | Us Government vs. Neuberger Berman Real | Us Government vs. Columbia Real Estate |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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