Correlation Between Hewlett Packard and Juniper Networks
Can any of the company-specific risk be diversified away by investing in both Hewlett Packard and Juniper Networks 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 Hewlett Packard and Juniper Networks into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hewlett Packard Enterprise and Juniper Networks, you can compare the effects of market volatilities on Hewlett Packard and Juniper Networks 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 Hewlett Packard with a short position of Juniper Networks. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hewlett Packard and Juniper Networks.
Diversification Opportunities for Hewlett Packard and Juniper Networks
-0.37 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Hewlett and Juniper is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding Hewlett Packard Enterprise and Juniper Networks in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Juniper Networks and Hewlett Packard 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 Hewlett Packard Enterprise are associated (or correlated) with Juniper Networks. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Juniper Networks has no effect on the direction of Hewlett Packard i.e., Hewlett Packard and Juniper Networks go up and down completely randomly.
Pair Corralation between Hewlett Packard and Juniper Networks
Considering the 90-day investment horizon Hewlett Packard Enterprise is expected to generate 3.07 times more return on investment than Juniper Networks. However, Hewlett Packard is 3.07 times more volatile than Juniper Networks. It trades about 0.08 of its potential returns per unit of risk. Juniper Networks is currently generating about -0.14 per unit of risk. If you would invest 1,892 in Hewlett Packard Enterprise on September 2, 2024 and sell it today you would earn a total of 230.00 from holding Hewlett Packard Enterprise or generate 12.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Hewlett Packard Enterprise vs. Juniper Networks
Performance |
Timeline |
Hewlett Packard Ente |
Juniper Networks |
Hewlett Packard and Juniper Networks Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hewlett Packard and Juniper Networks
The main advantage of trading using opposite Hewlett Packard and Juniper Networks positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hewlett Packard position performs unexpectedly, Juniper Networks 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 Juniper Networks will offset losses from the drop in Juniper Networks' long position.Hewlett Packard vs. Nokia Corp ADR | Hewlett Packard vs. Juniper Networks | Hewlett Packard vs. Ciena Corp | Hewlett Packard vs. Motorola Solutions |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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