Correlation Between Candel Therapeutics and Greenwich Lifesciences

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

Diversification Opportunities for Candel Therapeutics and Greenwich Lifesciences

0.52
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Candel and Greenwich is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Candel Therapeutics and Greenwich Lifesciences in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Greenwich Lifesciences and Candel Therapeutics 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 Candel Therapeutics are associated (or correlated) with Greenwich Lifesciences. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Greenwich Lifesciences has no effect on the direction of Candel Therapeutics i.e., Candel Therapeutics and Greenwich Lifesciences go up and down completely randomly.

Pair Corralation between Candel Therapeutics and Greenwich Lifesciences

Given the investment horizon of 90 days Candel Therapeutics is expected to generate 3.15 times more return on investment than Greenwich Lifesciences. However, Candel Therapeutics is 3.15 times more volatile than Greenwich Lifesciences. It trades about 0.06 of its potential returns per unit of risk. Greenwich Lifesciences is currently generating about -0.02 per unit of risk. If you would invest  657.00  in Candel Therapeutics on September 12, 2024 and sell it today you would earn a total of  118.00  from holding Candel Therapeutics or generate 17.96% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Candel Therapeutics  vs.  Greenwich Lifesciences

 Performance 
       Timeline  
Candel Therapeutics 

Risk-Adjusted Performance

4 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in Candel Therapeutics are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. Despite quite unsteady fundamental indicators, Candel Therapeutics disclosed solid returns over the last few months and may actually be approaching a breakup point.
Greenwich Lifesciences 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Greenwich Lifesciences has generated negative risk-adjusted returns adding no value to investors with long positions. Despite fairly strong basic indicators, Greenwich Lifesciences is not utilizing all of its potentials. The recent stock price confusion, may contribute to short-horizon losses for the traders.

Candel Therapeutics and Greenwich Lifesciences Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Candel Therapeutics and Greenwich Lifesciences

The main advantage of trading using opposite Candel Therapeutics and Greenwich Lifesciences positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Candel Therapeutics position performs unexpectedly, Greenwich Lifesciences 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 Greenwich Lifesciences will offset losses from the drop in Greenwich Lifesciences' long position.
The idea behind Candel Therapeutics and Greenwich Lifesciences 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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..

Other Complementary Tools

Companies Directory
Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals
Funds Screener
Find actively-traded funds from around the world traded on over 30 global exchanges
Portfolio Comparator
Compare the composition, asset allocations and performance of any two portfolios in your account
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
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk