Correlation Between Mainstay Large and Mainstay Moderate
Can any of the company-specific risk be diversified away by investing in both Mainstay Large and Mainstay Moderate 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 Mainstay Large and Mainstay Moderate into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mainstay Large Cap and Mainstay Moderate Allocation, you can compare the effects of market volatilities on Mainstay Large and Mainstay Moderate 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 Mainstay Large with a short position of Mainstay Moderate. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mainstay Large and Mainstay Moderate.
Diversification Opportunities for Mainstay Large and Mainstay Moderate
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Mainstay and Mainstay is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Mainstay Large Cap and Mainstay Moderate Allocation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mainstay Moderate and Mainstay Large 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 Mainstay Large Cap are associated (or correlated) with Mainstay Moderate. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mainstay Moderate has no effect on the direction of Mainstay Large i.e., Mainstay Large and Mainstay Moderate go up and down completely randomly.
Pair Corralation between Mainstay Large and Mainstay Moderate
Assuming the 90 days horizon Mainstay Large Cap is expected to generate 0.91 times more return on investment than Mainstay Moderate. However, Mainstay Large Cap is 1.1 times less risky than Mainstay Moderate. It trades about -0.22 of its potential returns per unit of risk. Mainstay Moderate Allocation is currently generating about -0.34 per unit of risk. If you would invest 449.00 in Mainstay Large Cap on October 16, 2024 and sell it today you would lose (23.00) from holding Mainstay Large Cap or give up 5.12% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Mainstay Large Cap vs. Mainstay Moderate Allocation
Performance |
Timeline |
Mainstay Large Cap |
Mainstay Moderate |
Mainstay Large and Mainstay Moderate Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mainstay Large and Mainstay Moderate
The main advantage of trading using opposite Mainstay Large and Mainstay Moderate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mainstay Large position performs unexpectedly, Mainstay Moderate 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 Mainstay Moderate will offset losses from the drop in Mainstay Moderate's long position.Mainstay Large vs. Columbia Convertible Securities | Mainstay Large vs. Invesco Vertible Securities | Mainstay Large vs. Absolute Convertible Arbitrage | Mainstay Large vs. Advent Claymore Convertible |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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