Correlation Between Mainstay New and California Bond
Can any of the company-specific risk be diversified away by investing in both Mainstay New and California Bond 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 New and California Bond into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mainstay New York and California Bond Fund, you can compare the effects of market volatilities on Mainstay New and California Bond 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 New with a short position of California Bond. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mainstay New and California Bond.
Diversification Opportunities for Mainstay New and California Bond
0.98 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Mainstay and California is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding Mainstay New York and California Bond Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on California Bond and Mainstay New 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 New York are associated (or correlated) with California Bond. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of California Bond has no effect on the direction of Mainstay New i.e., Mainstay New and California Bond go up and down completely randomly.
Pair Corralation between Mainstay New and California Bond
Assuming the 90 days horizon Mainstay New York is expected to under-perform the California Bond. But the mutual fund apears to be less risky and, when comparing its historical volatility, Mainstay New York is 1.01 times less risky than California Bond. The mutual fund trades about -0.38 of its potential returns per unit of risk. The California Bond Fund is currently generating about -0.32 of returns per unit of risk over similar time horizon. If you would invest 1,053 in California Bond Fund on October 8, 2024 and sell it today you would lose (18.00) from holding California Bond Fund or give up 1.71% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Mainstay New York vs. California Bond Fund
Performance |
Timeline |
Mainstay New York |
California Bond |
Mainstay New and California Bond Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mainstay New and California Bond
The main advantage of trading using opposite Mainstay New and California Bond positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mainstay New position performs unexpectedly, California Bond 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 California Bond will offset losses from the drop in California Bond's long position.Mainstay New vs. Ultramid Cap Profund Ultramid Cap | Mainstay New vs. Fidelity Small Cap | Mainstay New vs. Applied Finance Explorer | Mainstay New vs. Ultrasmall Cap Profund Ultrasmall Cap |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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