Correlation Between Ford and Eli Lilly

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

Diversification Opportunities for Ford and Eli Lilly

0.62
  Correlation Coefficient

Poor diversification

The 3 months correlation between Ford and Eli is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Eli Lilly and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eli Lilly 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 Eli Lilly. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eli Lilly has no effect on the direction of Ford i.e., Ford and Eli Lilly go up and down completely randomly.

Pair Corralation between Ford and Eli Lilly

Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the Eli Lilly. In addition to that, Ford is 1.28 times more volatile than Eli Lilly and. It trades about -0.15 of its total potential returns per unit of risk. Eli Lilly and is currently generating about 0.06 per unit of volatility. If you would invest  76,055  in Eli Lilly and on February 1, 2024 and sell it today you would earn a total of  1,620  from holding Eli Lilly and or generate 2.13% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

Ford Motor  vs.  Eli Lilly and

 Performance 
       Timeline  
Ford Motor 

Risk-Adjusted Performance

2 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in Ford Motor are ranked lower than 2 (%) 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.
Eli Lilly 

Risk-Adjusted Performance

12 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Eli Lilly and are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. In spite of fairly sluggish essential indicators, Eli Lilly showed solid returns over the last few months and may actually be approaching a breakup point.

Ford and Eli Lilly Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Ford and Eli Lilly

The main advantage of trading using opposite Ford and Eli Lilly positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Eli Lilly 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 Eli Lilly will offset losses from the drop in Eli Lilly's long position.
The idea behind Ford Motor and Eli Lilly and 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 Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.

Other Complementary Tools

Analyst Advice
Analyst recommendations and target price estimates broken down by several categories
ETF Categories
List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments
Insider Screener
Find insiders across different sectors to evaluate their impact on performance
Commodity Channel
Use Commodity Channel Index to analyze current equity momentum
Alpha Finder
Use alpha and beta coefficients to find investment opportunities after accounting for the risk
Money Flow Index
Determine momentum by analyzing Money Flow Index and other technical indicators
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets
Risk-Return Analysis
View associations between returns expected from investment and the risk you assume
Investing Opportunities
Build portfolios using our predefined set of ideas and optimize them against your investing preferences
Volatility Analysis
Get historical volatility and risk analysis based on latest market data
Bonds Directory
Find actively traded corporate debentures issued by US companies
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
Money Managers
Screen money managers from public funds and ETFs managed around the world