Correlation Between Leggmason Partners and Dana Large
Can any of the company-specific risk be diversified away by investing in both Leggmason Partners and Dana 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 Leggmason Partners and Dana Large into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Leggmason Partners Institutional and Dana Large Cap, you can compare the effects of market volatilities on Leggmason Partners and Dana 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 Leggmason Partners with a short position of Dana Large. Check out your portfolio center. Please also check ongoing floating volatility patterns of Leggmason Partners and Dana Large.
Diversification Opportunities for Leggmason Partners and Dana Large
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Leggmason and Dana is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Leggmason Partners Institution and Dana Large Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dana Large Cap and Leggmason Partners 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 Leggmason Partners Institutional are associated (or correlated) with Dana Large. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dana Large Cap has no effect on the direction of Leggmason Partners i.e., Leggmason Partners and Dana Large go up and down completely randomly.
Pair Corralation between Leggmason Partners and Dana Large
Assuming the 90 days horizon Leggmason Partners Institutional is expected to generate 0.05 times more return on investment than Dana Large. However, Leggmason Partners Institutional is 21.5 times less risky than Dana Large. It trades about 0.09 of its potential returns per unit of risk. Dana Large Cap is currently generating about -0.04 per unit of risk. If you would invest 99.00 in Leggmason Partners Institutional on September 30, 2024 and sell it today you would earn a total of 1.00 from holding Leggmason Partners Institutional or generate 1.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Leggmason Partners Institution vs. Dana Large Cap
Performance |
Timeline |
Leggmason Partners |
Dana Large Cap |
Leggmason Partners and Dana Large Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Leggmason Partners and Dana Large
The main advantage of trading using opposite Leggmason Partners and Dana Large positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Leggmason Partners position performs unexpectedly, Dana 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 Dana Large will offset losses from the drop in Dana Large's long position.Leggmason Partners vs. Vanguard Total Stock | Leggmason Partners vs. Vanguard 500 Index | Leggmason Partners vs. Vanguard Total Stock | Leggmason Partners vs. Vanguard Total Stock |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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