Correlation Between PENN Entertainment, and Metalurgica Gerdau
Can any of the company-specific risk be diversified away by investing in both PENN Entertainment, and Metalurgica Gerdau 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 Entertainment, and Metalurgica Gerdau into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PENN Entertainment, and Metalurgica Gerdau SA, you can compare the effects of market volatilities on PENN Entertainment, and Metalurgica Gerdau 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 Entertainment, with a short position of Metalurgica Gerdau. Check out your portfolio center. Please also check ongoing floating volatility patterns of PENN Entertainment, and Metalurgica Gerdau.
Diversification Opportunities for PENN Entertainment, and Metalurgica Gerdau
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between PENN and Metalurgica is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding PENN Entertainment, and Metalurgica Gerdau SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Metalurgica Gerdau and PENN Entertainment, 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 Entertainment, are associated (or correlated) with Metalurgica Gerdau. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Metalurgica Gerdau has no effect on the direction of PENN Entertainment, i.e., PENN Entertainment, and Metalurgica Gerdau go up and down completely randomly.
Pair Corralation between PENN Entertainment, and Metalurgica Gerdau
Assuming the 90 days trading horizon PENN Entertainment, is expected to generate 0.24 times more return on investment than Metalurgica Gerdau. However, PENN Entertainment, is 4.17 times less risky than Metalurgica Gerdau. It trades about 0.15 of its potential returns per unit of risk. Metalurgica Gerdau SA is currently generating about -0.08 per unit of risk. If you would invest 1,179 in PENN Entertainment, on December 25, 2024 and sell it today you would earn a total of 46.00 from holding PENN Entertainment, or generate 3.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
PENN Entertainment, vs. Metalurgica Gerdau SA
Performance |
Timeline |
PENN Entertainment, |
Metalurgica Gerdau |
PENN Entertainment, and Metalurgica Gerdau Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PENN Entertainment, and Metalurgica Gerdau
The main advantage of trading using opposite PENN Entertainment, and Metalurgica Gerdau positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PENN Entertainment, position performs unexpectedly, Metalurgica Gerdau 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 Metalurgica Gerdau will offset losses from the drop in Metalurgica Gerdau's long position.PENN Entertainment, vs. Molson Coors Beverage | PENN Entertainment, vs. Micron Technology | PENN Entertainment, vs. Microchip Technology Incorporated | PENN Entertainment, vs. TC Traders Club |
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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 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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