Correlation Between COMMERCIAL VEHICLE and Penn National
Can any of the company-specific risk be diversified away by investing in both COMMERCIAL VEHICLE 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 COMMERCIAL VEHICLE and Penn National into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between COMMERCIAL VEHICLE and Penn National Gaming, you can compare the effects of market volatilities on COMMERCIAL VEHICLE 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 COMMERCIAL VEHICLE with a short position of Penn National. Check out your portfolio center. Please also check ongoing floating volatility patterns of COMMERCIAL VEHICLE and Penn National.
Diversification Opportunities for COMMERCIAL VEHICLE and Penn National
-0.78 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between COMMERCIAL and Penn is -0.78. Overlapping area represents the amount of risk that can be diversified away by holding COMMERCIAL VEHICLE 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 COMMERCIAL VEHICLE 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 COMMERCIAL VEHICLE 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 COMMERCIAL VEHICLE i.e., COMMERCIAL VEHICLE and Penn National go up and down completely randomly.
Pair Corralation between COMMERCIAL VEHICLE and Penn National
Assuming the 90 days trading horizon COMMERCIAL VEHICLE is expected to under-perform the Penn National. In addition to that, COMMERCIAL VEHICLE is 1.67 times more volatile than Penn National Gaming. It trades about -0.07 of its total potential returns per unit of risk. Penn National Gaming is currently generating about 0.13 per unit of volatility. If you would invest 1,630 in Penn National Gaming on September 4, 2024 and sell it today you would earn a total of 354.00 from holding Penn National Gaming or generate 21.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.46% |
Values | Daily Returns |
COMMERCIAL VEHICLE vs. Penn National Gaming
Performance |
Timeline |
COMMERCIAL VEHICLE |
Penn National Gaming |
COMMERCIAL VEHICLE and Penn National Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with COMMERCIAL VEHICLE and Penn National
The main advantage of trading using opposite COMMERCIAL VEHICLE and Penn National positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if COMMERCIAL VEHICLE 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.COMMERCIAL VEHICLE vs. TOTAL GABON | COMMERCIAL VEHICLE vs. Walgreens Boots Alliance | COMMERCIAL VEHICLE vs. Peak Resources Limited |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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