Correlation Between Scharf Fund and Quantified Evolution
Can any of the company-specific risk be diversified away by investing in both Scharf Fund and Quantified Evolution 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 Fund and Quantified Evolution into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Scharf Fund Retail and Quantified Evolution Plus, you can compare the effects of market volatilities on Scharf Fund and Quantified Evolution 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 Fund with a short position of Quantified Evolution. Check out your portfolio center. Please also check ongoing floating volatility patterns of Scharf Fund and Quantified Evolution.
Diversification Opportunities for Scharf Fund and Quantified Evolution
-0.07 | Correlation Coefficient |
Good diversification
The 3 months correlation between Scharf and Quantified is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding Scharf Fund Retail and Quantified Evolution Plus in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Quantified Evolution Plus and Scharf Fund 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 Fund Retail are associated (or correlated) with Quantified Evolution. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Quantified Evolution Plus has no effect on the direction of Scharf Fund i.e., Scharf Fund and Quantified Evolution go up and down completely randomly.
Pair Corralation between Scharf Fund and Quantified Evolution
Assuming the 90 days horizon Scharf Fund Retail is expected to under-perform the Quantified Evolution. But the mutual fund apears to be less risky and, when comparing its historical volatility, Scharf Fund Retail is 2.12 times less risky than Quantified Evolution. The mutual fund trades about -0.25 of its potential returns per unit of risk. The Quantified Evolution Plus is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 641.00 in Quantified Evolution Plus on December 1, 2024 and sell it today you would earn a total of 24.00 from holding Quantified Evolution Plus or generate 3.74% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Scharf Fund Retail vs. Quantified Evolution Plus
Performance |
Timeline |
Scharf Fund Retail |
Quantified Evolution Plus |
Scharf Fund and Quantified Evolution Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Scharf Fund and Quantified Evolution
The main advantage of trading using opposite Scharf Fund and Quantified Evolution positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Scharf Fund position performs unexpectedly, Quantified Evolution 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 Quantified Evolution will offset losses from the drop in Quantified Evolution's long position.Scharf Fund vs. Global Gold Fund | Scharf Fund vs. Gabelli Gold Fund | Scharf Fund vs. Gamco Global Gold | Scharf Fund vs. Europac Gold 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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