Correlation Between Erste Group and Diversified Energy
Can any of the company-specific risk be diversified away by investing in both Erste Group and Diversified Energy 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 Erste Group and Diversified Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Erste Group Bank and Diversified Energy, you can compare the effects of market volatilities on Erste Group and Diversified Energy 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 Erste Group with a short position of Diversified Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Erste Group and Diversified Energy.
Diversification Opportunities for Erste Group and Diversified Energy
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Erste and Diversified is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Erste Group Bank and Diversified Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Diversified Energy and Erste Group 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 Erste Group Bank are associated (or correlated) with Diversified Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Diversified Energy has no effect on the direction of Erste Group i.e., Erste Group and Diversified Energy go up and down completely randomly.
Pair Corralation between Erste Group and Diversified Energy
Assuming the 90 days trading horizon Erste Group is expected to generate 3.84 times less return on investment than Diversified Energy. But when comparing it to its historical volatility, Erste Group Bank is 2.58 times less risky than Diversified Energy. It trades about 0.18 of its potential returns per unit of risk. Diversified Energy is currently generating about 0.27 of returns per unit of risk over similar time horizon. If you would invest 102,677 in Diversified Energy on October 8, 2024 and sell it today you would earn a total of 36,623 from holding Diversified Energy or generate 35.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Erste Group Bank vs. Diversified Energy
Performance |
Timeline |
Erste Group Bank |
Diversified Energy |
Erste Group and Diversified Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Erste Group and Diversified Energy
The main advantage of trading using opposite Erste Group and Diversified Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Erste Group position performs unexpectedly, Diversified Energy 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 Diversified Energy will offset losses from the drop in Diversified Energy's long position.Erste Group vs. Chrysalis Investments | Erste Group vs. Lindsell Train Investment | Erste Group vs. Mobius Investment Trust | Erste Group vs. Home Depot |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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