Correlation Between Hooker Furniture and PennantPark Floating
Can any of the company-specific risk be diversified away by investing in both Hooker Furniture and PennantPark Floating 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 Hooker Furniture and PennantPark Floating into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hooker Furniture and PennantPark Floating Rate, you can compare the effects of market volatilities on Hooker Furniture and PennantPark Floating 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 Hooker Furniture with a short position of PennantPark Floating. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hooker Furniture and PennantPark Floating.
Diversification Opportunities for Hooker Furniture and PennantPark Floating
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between Hooker and PennantPark is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Hooker Furniture and PennantPark Floating Rate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PennantPark Floating Rate and Hooker Furniture 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 Hooker Furniture are associated (or correlated) with PennantPark Floating. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PennantPark Floating Rate has no effect on the direction of Hooker Furniture i.e., Hooker Furniture and PennantPark Floating go up and down completely randomly.
Pair Corralation between Hooker Furniture and PennantPark Floating
Given the investment horizon of 90 days Hooker Furniture is expected to under-perform the PennantPark Floating. In addition to that, Hooker Furniture is 5.65 times more volatile than PennantPark Floating Rate. It trades about -0.35 of its total potential returns per unit of risk. PennantPark Floating Rate is currently generating about -0.18 per unit of volatility. If you would invest 1,092 in PennantPark Floating Rate on September 24, 2024 and sell it today you would lose (24.00) from holding PennantPark Floating Rate or give up 2.2% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Hooker Furniture vs. PennantPark Floating Rate
Performance |
Timeline |
Hooker Furniture |
PennantPark Floating Rate |
Hooker Furniture and PennantPark Floating Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hooker Furniture and PennantPark Floating
The main advantage of trading using opposite Hooker Furniture and PennantPark Floating positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hooker Furniture position performs unexpectedly, PennantPark Floating 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 PennantPark Floating will offset losses from the drop in PennantPark Floating's long position.Hooker Furniture vs. Natuzzi SpA | Hooker Furniture vs. Flexsteel Industries | Hooker Furniture vs. Hamilton Beach Brands |
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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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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