Correlation Between Great West and Snow Capital
Can any of the company-specific risk be diversified away by investing in both Great West and Snow Capital 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 Great West and Snow Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Great West Lifetime 2050 and Snow Capital Small, you can compare the effects of market volatilities on Great West and Snow Capital 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 Great West with a short position of Snow Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Great West and Snow Capital.
Diversification Opportunities for Great West and Snow Capital
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Great and Snow is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Great West Lifetime 2050 and Snow Capital Small in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Snow Capital Small and Great West 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 Great West Lifetime 2050 are associated (or correlated) with Snow Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Snow Capital Small has no effect on the direction of Great West i.e., Great West and Snow Capital go up and down completely randomly.
Pair Corralation between Great West and Snow Capital
Assuming the 90 days horizon Great West Lifetime 2050 is expected to generate 0.39 times more return on investment than Snow Capital. However, Great West Lifetime 2050 is 2.56 times less risky than Snow Capital. It trades about -0.06 of its potential returns per unit of risk. Snow Capital Small is currently generating about -0.03 per unit of risk. If you would invest 1,190 in Great West Lifetime 2050 on September 23, 2024 and sell it today you would lose (22.00) from holding Great West Lifetime 2050 or give up 1.85% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Great West Lifetime 2050 vs. Snow Capital Small
Performance |
Timeline |
Great West Lifetime |
Snow Capital Small |
Great West and Snow Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Great West and Snow Capital
The main advantage of trading using opposite Great West and Snow Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Great West position performs unexpectedly, Snow Capital 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 Snow Capital will offset losses from the drop in Snow Capital's long position.Great West vs. Great West Securefoundation Balanced | Great West vs. Great West Lifetime 2020 | Great West vs. Great West Lifetime 2020 | Great West vs. Great West Lifetime 2020 |
Snow Capital vs. Prudential Short Duration | Snow Capital vs. Siit Ultra Short | Snow Capital vs. Ab Select Longshort | Snow Capital vs. Lord Abbett Short |
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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