Correlation Between Penn National and UPDATE SOFTWARE
Can any of the company-specific risk be diversified away by investing in both Penn National and UPDATE SOFTWARE 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 UPDATE SOFTWARE 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 UPDATE SOFTWARE, you can compare the effects of market volatilities on Penn National and UPDATE SOFTWARE 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 UPDATE SOFTWARE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Penn National and UPDATE SOFTWARE.
Diversification Opportunities for Penn National and UPDATE SOFTWARE
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Penn and UPDATE is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Penn National Gaming and UPDATE SOFTWARE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UPDATE SOFTWARE 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 UPDATE SOFTWARE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UPDATE SOFTWARE has no effect on the direction of Penn National i.e., Penn National and UPDATE SOFTWARE go up and down completely randomly.
Pair Corralation between Penn National and UPDATE SOFTWARE
Assuming the 90 days horizon Penn National Gaming is expected to generate 2.42 times more return on investment than UPDATE SOFTWARE. However, Penn National is 2.42 times more volatile than UPDATE SOFTWARE. It trades about -0.02 of its potential returns per unit of risk. UPDATE SOFTWARE is currently generating about -0.21 per unit of risk. If you would invest 1,900 in Penn National Gaming on October 8, 2024 and sell it today you would lose (36.00) from holding Penn National Gaming or give up 1.89% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Penn National Gaming vs. UPDATE SOFTWARE
Performance |
Timeline |
Penn National Gaming |
UPDATE SOFTWARE |
Penn National and UPDATE SOFTWARE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Penn National and UPDATE SOFTWARE
The main advantage of trading using opposite Penn National and UPDATE SOFTWARE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Penn National position performs unexpectedly, UPDATE SOFTWARE 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 UPDATE SOFTWARE will offset losses from the drop in UPDATE SOFTWARE's long position.Penn National vs. Entain Plc | Penn National vs. Boyd Gaming | Penn National vs. Superior Plus Corp | Penn National vs. NMI Holdings |
UPDATE SOFTWARE vs. Apple Inc | UPDATE SOFTWARE vs. Apple Inc | UPDATE SOFTWARE vs. Apple Inc | UPDATE SOFTWARE vs. Apple Inc |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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