Correlation Between Boeing and Agilent Technologies

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Boeing and Agilent Technologies 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 Boeing and Agilent Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Boeing and Agilent Technologies, you can compare the effects of market volatilities on Boeing and Agilent Technologies 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 Boeing with a short position of Agilent Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Boeing and Agilent Technologies.

Diversification Opportunities for Boeing and Agilent Technologies

-0.61
  Correlation Coefficient

Excellent diversification

The 3 months correlation between Boeing and Agilent is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding The Boeing and Agilent Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Agilent Technologies and Boeing 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 The Boeing are associated (or correlated) with Agilent Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Agilent Technologies has no effect on the direction of Boeing i.e., Boeing and Agilent Technologies go up and down completely randomly.

Pair Corralation between Boeing and Agilent Technologies

Allowing for the 90-day total investment horizon The Boeing is expected to generate 0.88 times more return on investment than Agilent Technologies. However, The Boeing is 1.13 times less risky than Agilent Technologies. It trades about -0.36 of its potential returns per unit of risk. Agilent Technologies is currently generating about -0.34 per unit of risk. If you would invest  18,778  in The Boeing on January 20, 2024 and sell it today you would lose (1,755) from holding The Boeing or give up 9.35% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

The Boeing  vs.  Agilent Technologies

 Performance 
       Timeline  
Boeing 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days The Boeing has generated negative risk-adjusted returns adding no value to investors with long positions. Despite weak performance in the last few months, the Stock's basic indicators remain somewhat strong which may send shares a bit higher in May 2024. The current disturbance may also be a sign of long term up-swing for the company investors.
Agilent Technologies 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Agilent Technologies has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, Agilent Technologies is not utilizing all of its potentials. The latest stock price disturbance, may contribute to short-term losses for the investors.

Boeing and Agilent Technologies Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Boeing and Agilent Technologies

The main advantage of trading using opposite Boeing and Agilent Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Boeing position performs unexpectedly, Agilent Technologies 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 Agilent Technologies will offset losses from the drop in Agilent Technologies' long position.
The idea behind The Boeing and Agilent Technologies 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.
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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.

Other Complementary Tools

Money Flow Index
Determine momentum by analyzing Money Flow Index and other technical indicators
Fundamentals Comparison
Compare fundamentals across multiple equities to find investing opportunities
Global Correlations
Find global opportunities by holding instruments from different markets
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
Top Crypto Exchanges
Search and analyze digital assets across top global cryptocurrency exchanges
Volatility Analysis
Get historical volatility and risk analysis based on latest market data
Commodity Channel
Use Commodity Channel Index to analyze current equity momentum
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum
Piotroski F Score
Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets
Price Ceiling Movement
Calculate and plot Price Ceiling Movement for different equity instruments
Sectors
List of equity sectors categorizing publicly traded companies based on their primary business activities
Financial Widgets
Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets