Correlation Between Mainstay Large and Fundamental Large
Can any of the company-specific risk be diversified away by investing in both Mainstay Large and Fundamental Large 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 Fundamental Large 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 Fundamental Large Cap, you can compare the effects of market volatilities on Mainstay Large and Fundamental Large 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 Fundamental Large. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mainstay Large and Fundamental Large.
Diversification Opportunities for Mainstay Large and Fundamental Large
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Mainstay and Fundamental is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Mainstay Large Cap and Fundamental Large Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fundamental Large Cap 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 Fundamental Large. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fundamental Large Cap has no effect on the direction of Mainstay Large i.e., Mainstay Large and Fundamental Large go up and down completely randomly.
Pair Corralation between Mainstay Large and Fundamental Large
Assuming the 90 days horizon Mainstay Large Cap is expected to generate 1.45 times more return on investment than Fundamental Large. However, Mainstay Large is 1.45 times more volatile than Fundamental Large Cap. It trades about 0.05 of its potential returns per unit of risk. Fundamental Large Cap is currently generating about 0.05 per unit of risk. If you would invest 745.00 in Mainstay Large Cap on October 26, 2024 and sell it today you would earn a total of 235.00 from holding Mainstay Large Cap or generate 31.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Mainstay Large Cap vs. Fundamental Large Cap
Performance |
Timeline |
Mainstay Large Cap |
Fundamental Large Cap |
Mainstay Large and Fundamental Large Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mainstay Large and Fundamental Large
The main advantage of trading using opposite Mainstay Large and Fundamental Large positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mainstay Large position performs unexpectedly, Fundamental Large 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 Fundamental Large will offset losses from the drop in Fundamental Large's long position.Mainstay Large vs. Transamerica Intermediate Muni | Mainstay Large vs. Ab Municipal Bond | Mainstay Large vs. T Rowe Price | Mainstay Large vs. Intermediate Term Tax Free Bond |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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