Correlation Between PENN NATL and Genco Shipping
Can any of the company-specific risk be diversified away by investing in both PENN NATL and Genco Shipping 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 NATL and Genco Shipping into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PENN NATL GAMING and Genco Shipping Trading, you can compare the effects of market volatilities on PENN NATL and Genco Shipping 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 NATL with a short position of Genco Shipping. Check out your portfolio center. Please also check ongoing floating volatility patterns of PENN NATL and Genco Shipping.
Diversification Opportunities for PENN NATL and Genco Shipping
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between PENN and Genco is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding PENN NATL GAMING and Genco Shipping Trading in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Genco Shipping Trading and PENN NATL 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 NATL GAMING are associated (or correlated) with Genco Shipping. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Genco Shipping Trading has no effect on the direction of PENN NATL i.e., PENN NATL and Genco Shipping go up and down completely randomly.
Pair Corralation between PENN NATL and Genco Shipping
Assuming the 90 days trading horizon PENN NATL GAMING is expected to under-perform the Genco Shipping. In addition to that, PENN NATL is 1.29 times more volatile than Genco Shipping Trading. It trades about -0.04 of its total potential returns per unit of risk. Genco Shipping Trading is currently generating about -0.01 per unit of volatility. If you would invest 1,268 in Genco Shipping Trading on December 28, 2024 and sell it today you would lose (37.00) from holding Genco Shipping Trading or give up 2.92% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
PENN NATL GAMING vs. Genco Shipping Trading
Performance |
Timeline |
PENN NATL GAMING |
Genco Shipping Trading |
PENN NATL and Genco Shipping Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PENN NATL and Genco Shipping
The main advantage of trading using opposite PENN NATL and Genco Shipping positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PENN NATL position performs unexpectedly, Genco Shipping 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 Genco Shipping will offset losses from the drop in Genco Shipping's long position.PENN NATL vs. HOCHSCHILD MINING | PENN NATL vs. Media and Games | PENN NATL vs. BRAGG GAMING GRP | PENN NATL vs. MOVIE GAMES SA |
Genco Shipping vs. SINGAPORE AIRLINES | Genco Shipping vs. Zijin Mining Group | Genco Shipping vs. American Eagle Outfitters | Genco Shipping vs. Ringmetall SE |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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