Correlation Between Duke Energy and National Rural
Can any of the company-specific risk be diversified away by investing in both Duke Energy and National Rural 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 Duke Energy and National Rural into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Duke Energy Corp and National Rural Utilities, you can compare the effects of market volatilities on Duke Energy and National Rural 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 Duke Energy with a short position of National Rural. Check out your portfolio center. Please also check ongoing floating volatility patterns of Duke Energy and National Rural.
Diversification Opportunities for Duke Energy and National Rural
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Duke and National is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Duke Energy Corp and National Rural Utilities in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on National Rural Utilities and Duke 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 Duke Energy Corp are associated (or correlated) with National Rural. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of National Rural Utilities has no effect on the direction of Duke Energy i.e., Duke Energy and National Rural go up and down completely randomly.
Pair Corralation between Duke Energy and National Rural
Given the investment horizon of 90 days Duke Energy Corp is expected to generate 0.79 times more return on investment than National Rural. However, Duke Energy Corp is 1.26 times less risky than National Rural. It trades about 0.15 of its potential returns per unit of risk. National Rural Utilities is currently generating about 0.1 per unit of risk. If you would invest 2,363 in Duke Energy Corp on December 25, 2024 and sell it today you would earn a total of 116.00 from holding Duke Energy Corp or generate 4.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Duke Energy Corp vs. National Rural Utilities
Performance |
Timeline |
Duke Energy Corp |
National Rural Utilities |
Duke Energy and National Rural Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Duke Energy and National Rural
The main advantage of trading using opposite Duke Energy and National Rural positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Duke Energy position performs unexpectedly, National Rural 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 National Rural will offset losses from the drop in National Rural's long position.Duke Energy vs. Southern Co | Duke Energy vs. DTE Energy Co | Duke Energy vs. CMS Energy Corp | Duke Energy vs. CMS Energy Corp |
National Rural vs. CMS Energy Corp | National Rural vs. Southern Co | National Rural vs. Duke Energy Corp | National Rural vs. Southern Co |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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