Correlation Between Penn National and Samsung KODEX
Can any of the company-specific risk be diversified away by investing in both Penn National and Samsung KODEX 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 Samsung KODEX 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 Samsung KODEX Machinary, you can compare the effects of market volatilities on Penn National and Samsung KODEX 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 Samsung KODEX. Check out your portfolio center. Please also check ongoing floating volatility patterns of Penn National and Samsung KODEX.
Diversification Opportunities for Penn National and Samsung KODEX
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Penn and Samsung is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Penn National Gaming and Samsung KODEX Machinary in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung KODEX Machinary 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 Samsung KODEX. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung KODEX Machinary has no effect on the direction of Penn National i.e., Penn National and Samsung KODEX go up and down completely randomly.
Pair Corralation between Penn National and Samsung KODEX
Given the investment horizon of 90 days Penn National Gaming is expected to under-perform the Samsung KODEX. In addition to that, Penn National is 1.91 times more volatile than Samsung KODEX Machinary. It trades about -0.01 of its total potential returns per unit of risk. Samsung KODEX Machinary is currently generating about 0.12 per unit of volatility. If you would invest 696,500 in Samsung KODEX Machinary on December 22, 2024 and sell it today you would earn a total of 79,500 from holding Samsung KODEX Machinary or generate 11.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 96.67% |
Values | Daily Returns |
Penn National Gaming vs. Samsung KODEX Machinary
Performance |
Timeline |
Penn National Gaming |
Samsung KODEX Machinary |
Penn National and Samsung KODEX Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Penn National and Samsung KODEX
The main advantage of trading using opposite Penn National and Samsung KODEX positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Penn National position performs unexpectedly, Samsung KODEX 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 Samsung KODEX will offset losses from the drop in Samsung KODEX'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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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