Correlation Between Dana and Lear

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

Diversification Opportunities for Dana and Lear

-0.34
  Correlation Coefficient

Very good diversification

The 3 months correlation between Dana and Lear is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Dana Inc and Lear Corp. in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lear and Dana 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 Dana Inc are associated (or correlated) with Lear. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lear has no effect on the direction of Dana i.e., Dana and Lear go up and down completely randomly.

Pair Corralation between Dana and Lear

Considering the 90-day investment horizon Dana is expected to generate 3.66 times less return on investment than Lear. In addition to that, Dana is 1.38 times more volatile than Lear Corporation. It trades about 0.0 of its total potential returns per unit of risk. Lear Corporation is currently generating about 0.02 per unit of volatility. If you would invest  12,532  in Lear Corporation on January 26, 2024 and sell it today you would earn a total of  985.00  from holding Lear Corporation or generate 7.86% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Dana Inc  vs.  Lear Corp.

 Performance 
       Timeline  
Dana Inc 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Dana Inc has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest unsteady performance, the Stock's basic indicators remain healthy and the recent disarray on Wall Street may also be a sign of long period gains for the firm investors.
Lear 

Risk-Adjusted Performance

2 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in Lear Corporation are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. Despite somewhat strong technical and fundamental indicators, Lear is not utilizing all of its potentials. The latest stock price disturbance, may contribute to short-term losses for the investors.

Dana and Lear Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Dana and Lear

The main advantage of trading using opposite Dana and Lear positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dana position performs unexpectedly, Lear 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 Lear will offset losses from the drop in Lear's long position.
The idea behind Dana Inc and Lear Corporation 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 Commodity Directory module to find actively traded commodities issued by global exchanges.

Other Complementary Tools

AI Portfolio Architect
Use AI to generate optimal portfolios and find profitable investment opportunities
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
Price Ceiling Movement
Calculate and plot Price Ceiling Movement for different equity instruments
Price Exposure Probability
Analyze equity upside and downside potential for a given time horizon across multiple markets
Earnings Calls
Check upcoming earnings announcements updated hourly across public exchanges
Global Correlations
Find global opportunities by holding instruments from different markets
ETFs
Find actively traded Exchange Traded Funds (ETF) from around the world
Odds Of Bankruptcy
Get analysis of equity chance of financial distress in the next 2 years
Insider Screener
Find insiders across different sectors to evaluate their impact on performance
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Content Syndication
Quickly integrate customizable finance content to your own investment portal
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
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum