Correlation Between Scharf Fund and Federated Short-term
Can any of the company-specific risk be diversified away by investing in both Scharf Fund and Federated Short-term 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 Federated Short-term 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 Federated Short Term Income, you can compare the effects of market volatilities on Scharf Fund and Federated Short-term 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 Federated Short-term. Check out your portfolio center. Please also check ongoing floating volatility patterns of Scharf Fund and Federated Short-term.
Diversification Opportunities for Scharf Fund and Federated Short-term
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Scharf and Federated is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Scharf Fund Retail and Federated Short Term Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Short Term 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 Federated Short-term. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Short Term has no effect on the direction of Scharf Fund i.e., Scharf Fund and Federated Short-term go up and down completely randomly.
Pair Corralation between Scharf Fund and Federated Short-term
Assuming the 90 days horizon Scharf Fund Retail is expected to under-perform the Federated Short-term. In addition to that, Scharf Fund is 10.92 times more volatile than Federated Short Term Income. It trades about -0.42 of its total potential returns per unit of risk. Federated Short Term Income is currently generating about -0.16 per unit of volatility. If you would invest 850.00 in Federated Short Term Income on October 3, 2024 and sell it today you would lose (3.00) from holding Federated Short Term Income or give up 0.35% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.45% |
Values | Daily Returns |
Scharf Fund Retail vs. Federated Short Term Income
Performance |
Timeline |
Scharf Fund Retail |
Federated Short Term |
Scharf Fund and Federated Short-term Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Scharf Fund and Federated Short-term
The main advantage of trading using opposite Scharf Fund and Federated Short-term positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Scharf Fund position performs unexpectedly, Federated Short-term 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 Federated Short-term will offset losses from the drop in Federated Short-term's long position.Scharf Fund vs. Blackrock Health Sciences | Scharf Fund vs. Health Biotchnology Portfolio | Scharf Fund vs. The Hartford Healthcare | Scharf Fund vs. Baron Health Care |
Federated Short-term vs. Federated Emerging Market | Federated Short-term vs. Federated Mdt All | Federated Short-term vs. Federated Mdt Balanced | Federated Short-term vs. Federated Global Allocation |
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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
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