Correlation Between Diversified Energy and Applied Materials
Can any of the company-specific risk be diversified away by investing in both Diversified Energy and Applied Materials 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 Diversified Energy and Applied Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Diversified Energy and Applied Materials, you can compare the effects of market volatilities on Diversified Energy and Applied Materials 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 Diversified Energy with a short position of Applied Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of Diversified Energy and Applied Materials.
Diversification Opportunities for Diversified Energy and Applied Materials
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Diversified and Applied is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding Diversified Energy and Applied Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Applied Materials and Diversified Energy 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 Diversified Energy are associated (or correlated) with Applied Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Applied Materials has no effect on the direction of Diversified Energy i.e., Diversified Energy and Applied Materials go up and down completely randomly.
Pair Corralation between Diversified Energy and Applied Materials
Assuming the 90 days trading horizon Diversified Energy is expected to generate 1.1 times more return on investment than Applied Materials. However, Diversified Energy is 1.1 times more volatile than Applied Materials. It trades about 0.49 of its potential returns per unit of risk. Applied Materials is currently generating about -0.04 per unit of risk. If you would invest 93,479 in Diversified Energy on September 3, 2024 and sell it today you would earn a total of 34,321 from holding Diversified Energy or generate 36.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Diversified Energy vs. Applied Materials
Performance |
Timeline |
Diversified Energy |
Applied Materials |
Diversified Energy and Applied Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Diversified Energy and Applied Materials
The main advantage of trading using opposite Diversified Energy and Applied Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Diversified Energy position performs unexpectedly, Applied Materials 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 Applied Materials will offset losses from the drop in Applied Materials' long position.Diversified Energy vs. Charter Communications Cl | Diversified Energy vs. Cizzle Biotechnology Holdings | Diversified Energy vs. Aeorema Communications Plc | Diversified Energy vs. MTI Wireless Edge |
Applied Materials vs. SMA Solar Technology | Applied Materials vs. Arcticzymes Technologies ASA | Applied Materials vs. DXC Technology Co | Applied Materials vs. Waste Management |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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