Correlation Between Voya Us and Transamerica Financial
Can any of the company-specific risk be diversified away by investing in both Voya Us and Transamerica Financial 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 Us and Transamerica Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Voya Stock Index and Transamerica Financial Life, you can compare the effects of market volatilities on Voya Us and Transamerica Financial 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 Us with a short position of Transamerica Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Voya Us and Transamerica Financial.
Diversification Opportunities for Voya Us and Transamerica Financial
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Voya and Transamerica is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Voya Stock Index and Transamerica Financial Life in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Transamerica Financial and Voya Us 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 Stock Index are associated (or correlated) with Transamerica Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Transamerica Financial has no effect on the direction of Voya Us i.e., Voya Us and Transamerica Financial go up and down completely randomly.
Pair Corralation between Voya Us and Transamerica Financial
Assuming the 90 days horizon Voya Stock Index is expected to under-perform the Transamerica Financial. In addition to that, Voya Us is 1.25 times more volatile than Transamerica Financial Life. It trades about -0.08 of its total potential returns per unit of risk. Transamerica Financial Life is currently generating about 0.04 per unit of volatility. If you would invest 1,059 in Transamerica Financial Life on December 23, 2024 and sell it today you would earn a total of 19.00 from holding Transamerica Financial Life or generate 1.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Voya Stock Index vs. Transamerica Financial Life
Performance |
Timeline |
Voya Stock Index |
Transamerica Financial |
Voya Us and Transamerica Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Voya Us and Transamerica Financial
The main advantage of trading using opposite Voya Us and Transamerica Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Voya Us position performs unexpectedly, Transamerica Financial 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 Transamerica Financial will offset losses from the drop in Transamerica Financial's long position.Voya Us vs. Prudential Emerging Markets | Voya Us vs. Inverse Nasdaq 100 Strategy | Voya Us vs. Saat Moderate Strategy | Voya Us vs. Seafarer Overseas Growth |
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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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