Correlation Between PennantPark Floating and NETGEAR
Can any of the company-specific risk be diversified away by investing in both PennantPark Floating and NETGEAR 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 Floating and NETGEAR into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PennantPark Floating Rate and NETGEAR, you can compare the effects of market volatilities on PennantPark Floating and NETGEAR 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 Floating with a short position of NETGEAR. Check out your portfolio center. Please also check ongoing floating volatility patterns of PennantPark Floating and NETGEAR.
Diversification Opportunities for PennantPark Floating and NETGEAR
-0.38 | Correlation Coefficient |
Very good diversification
The 3 months correlation between PennantPark and NETGEAR is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding PennantPark Floating Rate and NETGEAR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NETGEAR and PennantPark Floating 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 Floating Rate are associated (or correlated) with NETGEAR. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NETGEAR has no effect on the direction of PennantPark Floating i.e., PennantPark Floating and NETGEAR go up and down completely randomly.
Pair Corralation between PennantPark Floating and NETGEAR
Given the investment horizon of 90 days PennantPark Floating Rate is expected to generate 0.34 times more return on investment than NETGEAR. However, PennantPark Floating Rate is 2.95 times less risky than NETGEAR. It trades about 0.12 of its potential returns per unit of risk. NETGEAR is currently generating about -0.06 per unit of risk. If you would invest 1,056 in PennantPark Floating Rate on December 30, 2024 and sell it today you would earn a total of 72.00 from holding PennantPark Floating Rate or generate 6.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
PennantPark Floating Rate vs. NETGEAR
Performance |
Timeline |
PennantPark Floating Rate |
NETGEAR |
PennantPark Floating and NETGEAR Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PennantPark Floating and NETGEAR
The main advantage of trading using opposite PennantPark Floating and NETGEAR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PennantPark Floating position performs unexpectedly, NETGEAR 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 NETGEAR will offset losses from the drop in NETGEAR's long position.PennantPark Floating vs. Gladstone Investment | PennantPark Floating vs. Horizon Technology Finance | PennantPark Floating vs. Stellus Capital Investment | PennantPark Floating vs. Prospect Capital |
NETGEAR vs. KVH Industries | NETGEAR vs. Ituran Location and | NETGEAR vs. Aviat Networks | NETGEAR vs. Harmonic |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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