Correlation Between Scharf Fund and Greenspring Fund
Can any of the company-specific risk be diversified away by investing in both Scharf Fund and Greenspring 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 Fund and Greenspring Fund 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 Greenspring Fund Retail, you can compare the effects of market volatilities on Scharf Fund and Greenspring 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 Fund with a short position of Greenspring Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of Scharf Fund and Greenspring Fund.
Diversification Opportunities for Scharf Fund and Greenspring Fund
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Scharf and Greenspring is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Scharf Fund Retail and Greenspring Fund Retail in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Greenspring Fund Retail 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 Greenspring Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Greenspring Fund Retail has no effect on the direction of Scharf Fund i.e., Scharf Fund and Greenspring Fund go up and down completely randomly.
Pair Corralation between Scharf Fund and Greenspring Fund
Assuming the 90 days horizon Scharf Fund is expected to generate 1.56 times less return on investment than Greenspring Fund. But when comparing it to its historical volatility, Scharf Fund Retail is 1.24 times less risky than Greenspring Fund. It trades about 0.03 of its potential returns per unit of risk. Greenspring Fund Retail is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 2,211 in Greenspring Fund Retail on October 10, 2024 and sell it today you would earn a total of 315.00 from holding Greenspring Fund Retail or generate 14.25% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Scharf Fund Retail vs. Greenspring Fund Retail
Performance |
Timeline |
Scharf Fund Retail |
Greenspring Fund Retail |
Scharf Fund and Greenspring Fund Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Scharf Fund and Greenspring Fund
The main advantage of trading using opposite Scharf Fund and Greenspring Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Scharf Fund position performs unexpectedly, Greenspring 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 Greenspring Fund will offset losses from the drop in Greenspring Fund's long position.Scharf Fund vs. Cardinal Small Cap | Scharf Fund vs. Lebenthal Lisanti Small | Scharf Fund vs. Rbc Small Cap | Scharf Fund vs. Ab Small Cap |
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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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
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