Correlation Between Penn National and CELLULAR GOODS
Can any of the company-specific risk be diversified away by investing in both Penn National and CELLULAR GOODS 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 Penn National and CELLULAR GOODS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Penn National Gaming and CELLULAR GOODS LS, you can compare the effects of market volatilities on Penn National and CELLULAR GOODS 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 Penn National with a short position of CELLULAR GOODS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Penn National and CELLULAR GOODS.
Diversification Opportunities for Penn National and CELLULAR GOODS
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Penn and CELLULAR is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Penn National Gaming and CELLULAR GOODS LS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CELLULAR GOODS LS and Penn National 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 Penn National Gaming are associated (or correlated) with CELLULAR GOODS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CELLULAR GOODS LS has no effect on the direction of Penn National i.e., Penn National and CELLULAR GOODS go up and down completely randomly.
Pair Corralation between Penn National and CELLULAR GOODS
Given the investment horizon of 90 days Penn National Gaming is expected to under-perform the CELLULAR GOODS. But the stock apears to be less risky and, when comparing its historical volatility, Penn National Gaming is 14.5 times less risky than CELLULAR GOODS. The stock trades about -0.01 of its potential returns per unit of risk. The CELLULAR GOODS LS is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 0.05 in CELLULAR GOODS LS on December 21, 2024 and sell it today you would earn a total of 0.15 from holding CELLULAR GOODS LS or generate 300.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Penn National Gaming vs. CELLULAR GOODS LS
Performance |
Timeline |
Penn National Gaming |
CELLULAR GOODS LS |
Penn National and CELLULAR GOODS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Penn National and CELLULAR GOODS
The main advantage of trading using opposite Penn National and CELLULAR GOODS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Penn National position performs unexpectedly, CELLULAR GOODS 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 CELLULAR GOODS will offset losses from the drop in CELLULAR GOODS's long position.Penn National vs. DraftKings | Penn National vs. MGM Resorts International | Penn National vs. Caesars Entertainment | Penn National vs. Boyd Gaming |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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