Correlation Between ATT and Duke Energy
Can any of the company-specific risk be diversified away by investing in both ATT and Duke 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 ATT and Duke Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ATT Inc and Duke Energy Corp, you can compare the effects of market volatilities on ATT and Duke 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 ATT with a short position of Duke Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of ATT and Duke Energy.
Diversification Opportunities for ATT and Duke Energy
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between ATT and Duke is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding ATT Inc and Duke Energy Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Duke Energy Corp and ATT 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 ATT Inc are associated (or correlated) with Duke Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Duke Energy Corp has no effect on the direction of ATT i.e., ATT and Duke Energy go up and down completely randomly.
Pair Corralation between ATT and Duke Energy
Considering the 90-day investment horizon ATT Inc is expected to under-perform the Duke Energy. In addition to that, ATT is 1.25 times more volatile than Duke Energy Corp. It trades about -0.02 of its total potential returns per unit of risk. Duke Energy Corp is currently generating about -0.01 per unit of volatility. If you would invest 2,481 in Duke Energy Corp on September 4, 2024 and sell it today you would lose (8.00) from holding Duke Energy Corp or give up 0.32% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
ATT Inc vs. Duke Energy Corp
Performance |
Timeline |
ATT Inc |
Duke Energy Corp |
ATT and Duke Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ATT and Duke Energy
The main advantage of trading using opposite ATT and Duke Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ATT position performs unexpectedly, Duke 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 Duke Energy will offset losses from the drop in Duke Energy's long position.The idea behind ATT Inc and Duke Energy Corp pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Duke Energy vs. Southern Co | Duke Energy vs. DTE Energy Co | Duke Energy vs. CMS Energy Corp | Duke Energy vs. CMS Energy Corp |
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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