Correlation Between PennantPark Investment and Scholastic
Can any of the company-specific risk be diversified away by investing in both PennantPark Investment and Scholastic 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 PennantPark Investment and Scholastic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PennantPark Investment and Scholastic, you can compare the effects of market volatilities on PennantPark Investment and Scholastic 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 PennantPark Investment with a short position of Scholastic. Check out your portfolio center. Please also check ongoing floating volatility patterns of PennantPark Investment and Scholastic.
Diversification Opportunities for PennantPark Investment and Scholastic
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between PennantPark and Scholastic is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding PennantPark Investment and Scholastic in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Scholastic and PennantPark Investment 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 PennantPark Investment are associated (or correlated) with Scholastic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Scholastic has no effect on the direction of PennantPark Investment i.e., PennantPark Investment and Scholastic go up and down completely randomly.
Pair Corralation between PennantPark Investment and Scholastic
Given the investment horizon of 90 days PennantPark Investment is expected to generate 3.11 times less return on investment than Scholastic. But when comparing it to its historical volatility, PennantPark Investment is 2.12 times less risky than Scholastic. It trades about 0.13 of its potential returns per unit of risk. Scholastic is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 2,379 in Scholastic on September 5, 2024 and sell it today you would earn a total of 251.00 from holding Scholastic or generate 10.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
PennantPark Investment vs. Scholastic
Performance |
Timeline |
PennantPark Investment |
Scholastic |
PennantPark Investment and Scholastic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PennantPark Investment and Scholastic
The main advantage of trading using opposite PennantPark Investment and Scholastic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PennantPark Investment position performs unexpectedly, Scholastic 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 Scholastic will offset losses from the drop in Scholastic's long position.PennantPark Investment vs. Sixth Street Specialty | PennantPark Investment vs. New Mountain Finance | PennantPark Investment vs. Carlyle Secured Lending | PennantPark Investment vs. BlackRock TCP Capital |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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