Correlation Between Sana Biotechnology and Lyell Immunopharma

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

Diversification Opportunities for Sana Biotechnology and Lyell Immunopharma

0.59
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Sana and Lyell is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Sana Biotechnology and Lyell Immunopharma in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lyell Immunopharma and Sana Biotechnology 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 Sana Biotechnology are associated (or correlated) with Lyell Immunopharma. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lyell Immunopharma has no effect on the direction of Sana Biotechnology i.e., Sana Biotechnology and Lyell Immunopharma go up and down completely randomly.

Pair Corralation between Sana Biotechnology and Lyell Immunopharma

Given the investment horizon of 90 days Sana Biotechnology is expected to under-perform the Lyell Immunopharma. But the stock apears to be less risky and, when comparing its historical volatility, Sana Biotechnology is 1.54 times less risky than Lyell Immunopharma. The stock trades about -0.25 of its potential returns per unit of risk. The Lyell Immunopharma is currently generating about -0.06 of returns per unit of risk over similar time horizon. If you would invest  140.00  in Lyell Immunopharma on August 31, 2024 and sell it today you would lose (48.00) from holding Lyell Immunopharma or give up 34.29% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Sana Biotechnology  vs.  Lyell Immunopharma

 Performance 
       Timeline  
Sana Biotechnology 

Risk-Adjusted Performance

0 of 100

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

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Lyell Immunopharma has generated negative risk-adjusted returns adding no value to investors with long positions. Despite unfluctuating performance in the last few months, the Stock's technical and fundamental indicators remain quite persistent which may send shares a bit higher in December 2024. The latest mess may also be a sign of long-standing up-swing for the company institutional investors.

Sana Biotechnology and Lyell Immunopharma Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Sana Biotechnology and Lyell Immunopharma

The main advantage of trading using opposite Sana Biotechnology and Lyell Immunopharma positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sana Biotechnology position performs unexpectedly, Lyell Immunopharma 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 Lyell Immunopharma will offset losses from the drop in Lyell Immunopharma's long position.
The idea behind Sana Biotechnology and Lyell Immunopharma 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 Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.

Other Complementary Tools

Financial Widgets
Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets
Equity Analysis
Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities
Sync Your Broker
Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors.
Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm