Correlation Between SCOR PK and Voya High
Can any of the company-specific risk be diversified away by investing in both SCOR PK 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 SCOR PK and Voya High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SCOR PK and Voya High Yield, you can compare the effects of market volatilities on SCOR PK 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 SCOR PK with a short position of Voya High. Check out your portfolio center. Please also check ongoing floating volatility patterns of SCOR PK and Voya High.
Diversification Opportunities for SCOR PK and Voya High
Very weak diversification
The 3 months correlation between SCOR and Voya is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding SCOR PK 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 SCOR PK 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 SCOR PK 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 SCOR PK i.e., SCOR PK and Voya High go up and down completely randomly.
Pair Corralation between SCOR PK and Voya High
Assuming the 90 days horizon SCOR PK is expected to generate 17.33 times more return on investment than Voya High. However, SCOR PK is 17.33 times more volatile than Voya High Yield. It trades about 0.12 of its potential returns per unit of risk. Voya High Yield is currently generating about 0.15 per unit of risk. If you would invest 216.00 in SCOR PK on September 12, 2024 and sell it today you would earn a total of 43.00 from holding SCOR PK or generate 19.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SCOR PK vs. Voya High Yield
Performance |
Timeline |
SCOR PK |
Voya High Yield |
SCOR PK and Voya High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SCOR PK and Voya High
The main advantage of trading using opposite SCOR PK and Voya High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SCOR PK 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.The idea behind SCOR PK and Voya High Yield pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Voya High vs. SCOR PK | Voya High vs. Morningstar Unconstrained Allocation | Voya High vs. Via Renewables | Voya High vs. Bondbloxx ETF Trust |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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