Correlation Between F5 Networks and Dow Jones
Can any of the company-specific risk be diversified away by investing in both F5 Networks and Dow Jones 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 F5 Networks and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between F5 Networks and Dow Jones Industrial, you can compare the effects of market volatilities on F5 Networks and Dow Jones 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 F5 Networks with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of F5 Networks and Dow Jones.
Diversification Opportunities for F5 Networks and Dow Jones
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between 0IL6 and Dow is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding F5 Networks and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and F5 Networks 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 F5 Networks are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of F5 Networks i.e., F5 Networks and Dow Jones go up and down completely randomly.
Pair Corralation between F5 Networks and Dow Jones
Assuming the 90 days trading horizon F5 Networks is expected to generate 2.19 times more return on investment than Dow Jones. However, F5 Networks is 2.19 times more volatile than Dow Jones Industrial. It trades about 0.11 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.13 per unit of risk. If you would invest 16,896 in F5 Networks on September 2, 2024 and sell it today you would earn a total of 8,259 from holding F5 Networks or generate 48.88% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 98.02% |
| Values | Daily Returns |
F5 Networks vs. Dow Jones Industrial
Performance |
| Timeline |
F5 Networks and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
F5 Networks
Pair trading matchups for F5 Networks
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with F5 Networks and Dow Jones
The main advantage of trading using opposite F5 Networks and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if F5 Networks position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.| F5 Networks vs. Atresmedia | F5 Networks vs. Infrastrutture Wireless Italiane | F5 Networks vs. Cairo Communication SpA | F5 Networks vs. One Media iP |
| Dow Jones vs. Dream Finders Homes | Dow Jones vs. GEN Restaurant Group, | Dow Jones vs. National Beverage Corp | Dow Jones vs. BJs Restaurants |
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 Valuation module to check real value of public entities based on technical and fundamental data.
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