Correlation Between Ford and Agilent Technologies

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

Diversification Opportunities for Ford and Agilent Technologies

0.53
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Ford and Agilent is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Agilent Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Agilent Technologies and Ford 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 Ford Motor 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 Ford i.e., Ford and Agilent Technologies go up and down completely randomly.

Pair Corralation between Ford and Agilent Technologies

Taking into account the 90-day investment horizon Ford Motor is expected to generate 1.33 times more return on investment than Agilent Technologies. However, Ford is 1.33 times more volatile than Agilent Technologies. It trades about 0.01 of its potential returns per unit of risk. Agilent Technologies is currently generating about 0.0 per unit of risk. If you would invest  1,241  in Ford Motor on December 20, 2023 and sell it today you would lose (35.00) from holding Ford Motor or give up 2.82% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Ford Motor  vs.  Agilent Technologies

 Performance 
       Timeline  
Ford Motor 

Risk-Adjusted Performance

3 of 100

 
Low
 
High
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in Ford Motor are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. Despite nearly stable technical and fundamental indicators, Ford is not utilizing all of its potentials. The recent stock price disturbance, may contribute to mid-run losses for the stockholders.
Agilent Technologies 

Risk-Adjusted Performance

5 of 100

 
Low
 
High
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in Agilent Technologies are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. Despite somewhat uncertain basic indicators, Agilent Technologies may actually be approaching a critical reversion point that can send shares even higher in April 2024.

Ford and Agilent Technologies Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Ford and Agilent Technologies

The main advantage of trading using opposite Ford and Agilent Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford 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 Ford Motor 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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.

Other Complementary Tools

Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
Portfolio Anywhere
Track or share privately all of your investments from the convenience of any device
Pair Correlation
Compare performance and examine fundamental relationship between any two equity instruments
Positions Ratings
Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance
Latest Portfolios
Quick portfolio dashboard that showcases your latest portfolios
Global Markets Map
Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes
Analyst Advice
Analyst recommendations and target price estimates broken down by several categories
Funds Screener
Find actively-traded funds from around the world traded on over 30 global exchanges
Portfolio Dashboard
Portfolio dashboard that provides centralized access to all your investments
Money Flow Index
Determine momentum by analyzing Money Flow Index and other technical indicators
Economic Indicators
Top statistical indicators that provide insights into how an economy is performing
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Investing Opportunities
Build portfolios using our predefined set of ideas and optimize them against your investing preferences