Correlation Between Hooker Furniture and Penn National
Can any of the company-specific risk be diversified away by investing in both Hooker Furniture and Penn National 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 Penn National into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hooker Furniture and Penn National Gaming, you can compare the effects of market volatilities on Hooker Furniture and Penn National 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 Penn National. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hooker Furniture and Penn National.
Diversification Opportunities for Hooker Furniture and Penn National
-0.03 | Correlation Coefficient |
Good diversification
The 3 months correlation between Hooker and Penn is -0.03. Overlapping area represents the amount of risk that can be diversified away by holding Hooker Furniture and Penn National Gaming in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Penn National Gaming 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 Penn National. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Penn National Gaming has no effect on the direction of Hooker Furniture i.e., Hooker Furniture and Penn National go up and down completely randomly.
Pair Corralation between Hooker Furniture and Penn National
Given the investment horizon of 90 days Hooker Furniture is expected to under-perform the Penn National. But the stock apears to be less risky and, when comparing its historical volatility, Hooker Furniture is 1.36 times less risky than Penn National. The stock trades about -0.2 of its potential returns per unit of risk. The Penn National Gaming is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest 1,845 in Penn National Gaming on December 18, 2024 and sell it today you would lose (119.00) from holding Penn National Gaming or give up 6.45% 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. Penn National Gaming
Performance |
Timeline |
Hooker Furniture |
Penn National Gaming |
Hooker Furniture and Penn National Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hooker Furniture and Penn National
The main advantage of trading using opposite Hooker Furniture and Penn National positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hooker Furniture position performs unexpectedly, Penn National 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 Penn National will offset losses from the drop in Penn National's long position.Hooker Furniture vs. Bassett Furniture Industries | 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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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