Correlation Between Metropolitan West and Scharf Fund
Can any of the company-specific risk be diversified away by investing in both Metropolitan West and Scharf Fund 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 Metropolitan West and Scharf Fund into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Metropolitan West Total and Scharf Fund Retail, you can compare the effects of market volatilities on Metropolitan West and Scharf Fund 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 Metropolitan West with a short position of Scharf Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of Metropolitan West and Scharf Fund.
Diversification Opportunities for Metropolitan West and Scharf Fund
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Metropolitan and Scharf is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding Metropolitan West Total and Scharf Fund Retail in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Scharf Fund Retail and Metropolitan West 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 Metropolitan West Total are associated (or correlated) with Scharf Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Scharf Fund Retail has no effect on the direction of Metropolitan West i.e., Metropolitan West and Scharf Fund go up and down completely randomly.
Pair Corralation between Metropolitan West and Scharf Fund
Assuming the 90 days horizon Metropolitan West Total is expected to under-perform the Scharf Fund. But the mutual fund apears to be less risky and, when comparing its historical volatility, Metropolitan West Total is 1.69 times less risky than Scharf Fund. The mutual fund trades about -0.07 of its potential returns per unit of risk. The Scharf Fund Retail is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 5,459 in Scharf Fund Retail on September 4, 2024 and sell it today you would earn a total of 304.00 from holding Scharf Fund Retail or generate 5.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Metropolitan West Total vs. Scharf Fund Retail
Performance |
Timeline |
Metropolitan West Total |
Scharf Fund Retail |
Metropolitan West and Scharf Fund Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Metropolitan West and Scharf Fund
The main advantage of trading using opposite Metropolitan West and Scharf Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Metropolitan West position performs unexpectedly, Scharf Fund 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 Scharf Fund will offset losses from the drop in Scharf Fund's long position.Metropolitan West vs. Metropolitan West Alpha | Metropolitan West vs. Metropolitan West Unconstrained | Metropolitan West vs. Metropolitan West Porate | Metropolitan West vs. Metropolitan West Unconstrained |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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