Correlation Between Legg Mason and Oberweis China
Can any of the company-specific risk be diversified away by investing in both Legg Mason and Oberweis China 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 Legg Mason and Oberweis China into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Legg Mason Partners and Oberweis China Opportunities, you can compare the effects of market volatilities on Legg Mason and Oberweis China 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 Legg Mason with a short position of Oberweis China. Check out your portfolio center. Please also check ongoing floating volatility patterns of Legg Mason and Oberweis China.
Diversification Opportunities for Legg Mason and Oberweis China
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Legg and Oberweis is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Legg Mason Partners and Oberweis China Opportunities in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oberweis China Oppor and Legg Mason 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 Legg Mason Partners are associated (or correlated) with Oberweis China. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oberweis China Oppor has no effect on the direction of Legg Mason i.e., Legg Mason and Oberweis China go up and down completely randomly.
Pair Corralation between Legg Mason and Oberweis China
Assuming the 90 days trading horizon Legg Mason is expected to generate 9.14 times less return on investment than Oberweis China. But when comparing it to its historical volatility, Legg Mason Partners is 2.92 times less risky than Oberweis China. It trades about 0.04 of its potential returns per unit of risk. Oberweis China Opportunities is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 697.00 in Oberweis China Opportunities on December 30, 2024 and sell it today you would earn a total of 106.00 from holding Oberweis China Opportunities or generate 15.21% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Legg Mason Partners vs. Oberweis China Opportunities
Performance |
Timeline |
Legg Mason Partners |
Oberweis China Oppor |
Legg Mason and Oberweis China Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Legg Mason and Oberweis China
The main advantage of trading using opposite Legg Mason and Oberweis China positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Legg Mason position performs unexpectedly, Oberweis China 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 Oberweis China will offset losses from the drop in Oberweis China's long position.Legg Mason vs. Access Flex High | Legg Mason vs. Transamerica High Yield | Legg Mason vs. Virtus High Yield | Legg Mason vs. Pace High Yield |
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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 Valuation module to check real value of public entities based on technical and fundamental data.
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