Correlation Between Haverty Furniture and Nextera Energy
Can any of the company-specific risk be diversified away by investing in both Haverty Furniture and Nextera 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 Haverty Furniture and Nextera Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Haverty Furniture Companies and Nextera Energy, you can compare the effects of market volatilities on Haverty Furniture and Nextera 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 Haverty Furniture with a short position of Nextera Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Haverty Furniture and Nextera Energy.
Diversification Opportunities for Haverty Furniture and Nextera Energy
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Haverty and Nextera is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Haverty Furniture Companies and Nextera Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nextera Energy and Haverty Furniture 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 Haverty Furniture Companies are associated (or correlated) with Nextera Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nextera Energy has no effect on the direction of Haverty Furniture i.e., Haverty Furniture and Nextera Energy go up and down completely randomly.
Pair Corralation between Haverty Furniture and Nextera Energy
Considering the 90-day investment horizon Haverty Furniture Companies is expected to under-perform the Nextera Energy. In addition to that, Haverty Furniture is 1.52 times more volatile than Nextera Energy. It trades about -0.06 of its total potential returns per unit of risk. Nextera Energy is currently generating about 0.08 per unit of volatility. If you would invest 5,439 in Nextera Energy on October 2, 2024 and sell it today you would earn a total of 1,731 from holding Nextera Energy or generate 31.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Haverty Furniture Companies vs. Nextera Energy
Performance |
Timeline |
Haverty Furniture |
Nextera Energy |
Haverty Furniture and Nextera Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Haverty Furniture and Nextera Energy
The main advantage of trading using opposite Haverty Furniture and Nextera Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Haverty Furniture position performs unexpectedly, Nextera 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 Nextera Energy will offset losses from the drop in Nextera Energy's long position.Haverty Furniture vs. Floor Decor Holdings | Haverty Furniture vs. Live Ventures | Haverty Furniture vs. Kirklands | Haverty Furniture vs. Arhaus Inc |
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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 Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.
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