Correlation Between Hewlett Packard and Celestica
Can any of the company-specific risk be diversified away by investing in both Hewlett Packard and Celestica 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 Celestica 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 Celestica, you can compare the effects of market volatilities on Hewlett Packard and Celestica 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 Celestica. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hewlett Packard and Celestica.
Diversification Opportunities for Hewlett Packard and Celestica
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Hewlett and Celestica is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Hewlett Packard Enterprise and Celestica in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Celestica 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 Celestica. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Celestica has no effect on the direction of Hewlett Packard i.e., Hewlett Packard and Celestica go up and down completely randomly.
Pair Corralation between Hewlett Packard and Celestica
Assuming the 90 days trading horizon Hewlett Packard is expected to generate 2.93 times less return on investment than Celestica. But when comparing it to its historical volatility, Hewlett Packard Enterprise is 1.33 times less risky than Celestica. It trades about 0.14 of its potential returns per unit of risk. Celestica is currently generating about 0.31 of returns per unit of risk over similar time horizon. If you would invest 6,794 in Celestica on October 24, 2024 and sell it today you would earn a total of 4,534 from holding Celestica or generate 66.74% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Hewlett Packard Enterprise vs. Celestica
Performance |
Timeline |
Hewlett Packard Ente |
Celestica |
Hewlett Packard and Celestica Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hewlett Packard and Celestica
The main advantage of trading using opposite Hewlett Packard and Celestica positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hewlett Packard position performs unexpectedly, Celestica 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 Celestica will offset losses from the drop in Celestica's long position.Hewlett Packard vs. ASML Holding NV | Hewlett Packard vs. Globalfoundries | Hewlett Packard vs. Valneva SE ADR | Hewlett Packard vs. MACOM Technology Solutions |
Celestica vs. Plexus Corp | Celestica vs. Benchmark Electronics | Celestica vs. Flex | Celestica vs. Jabil Circuit |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
Other Complementary Tools
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |