Correlation Between Scharf Balanced and Scharf Fund
Can any of the company-specific risk be diversified away by investing in both Scharf Balanced 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 Scharf Balanced and Scharf Fund into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Scharf Balanced Opportunity and Scharf Fund Retail, you can compare the effects of market volatilities on Scharf Balanced 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 Scharf Balanced with a short position of Scharf Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of Scharf Balanced and Scharf Fund.
Diversification Opportunities for Scharf Balanced and Scharf Fund
-0.19 | Correlation Coefficient |
Good diversification
The 3 months correlation between Scharf and Scharf is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding Scharf Balanced Opportunity 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 Scharf Balanced 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 Scharf Balanced Opportunity 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 Scharf Balanced i.e., Scharf Balanced and Scharf Fund go up and down completely randomly.
Pair Corralation between Scharf Balanced and Scharf Fund
Assuming the 90 days horizon Scharf Balanced Opportunity is expected to generate 17.4 times more return on investment than Scharf Fund. However, Scharf Balanced is 17.4 times more volatile than Scharf Fund Retail. It trades about 0.12 of its potential returns per unit of risk. Scharf Fund Retail is currently generating about 0.13 per unit of risk. If you would invest 3,485 in Scharf Balanced Opportunity on December 29, 2024 and sell it today you would earn a total of 136.00 from holding Scharf Balanced Opportunity or generate 3.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.39% |
Values | Daily Returns |
Scharf Balanced Opportunity vs. Scharf Fund Retail
Performance |
Timeline |
Scharf Balanced Oppo |
Scharf Fund Retail |
Scharf Balanced and Scharf Fund Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Scharf Balanced and Scharf Fund
The main advantage of trading using opposite Scharf Balanced and Scharf Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Scharf Balanced 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.Scharf Balanced vs. Stringer Growth Fund | Scharf Balanced vs. Eip Growth And | Scharf Balanced vs. Eagle Growth Income | Scharf Balanced vs. Growth Allocation Fund |
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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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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