Correlation Between Biodexa Pharmaceticals and Senti Biosciences

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

Diversification Opportunities for Biodexa Pharmaceticals and Senti Biosciences

0.4
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Biodexa and Senti is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Biodexa Pharmaceticals and Senti Biosciences in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Senti Biosciences and Biodexa Pharmaceticals 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 Biodexa Pharmaceticals are associated (or correlated) with Senti Biosciences. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Senti Biosciences has no effect on the direction of Biodexa Pharmaceticals i.e., Biodexa Pharmaceticals and Senti Biosciences go up and down completely randomly.

Pair Corralation between Biodexa Pharmaceticals and Senti Biosciences

Given the investment horizon of 90 days Biodexa Pharmaceticals is expected to under-perform the Senti Biosciences. But the stock apears to be less risky and, when comparing its historical volatility, Biodexa Pharmaceticals is 1.47 times less risky than Senti Biosciences. The stock trades about -0.06 of its potential returns per unit of risk. The Senti Biosciences is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest  1,370  in Senti Biosciences on December 1, 2024 and sell it today you would lose (1,069) from holding Senti Biosciences or give up 78.03% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Biodexa Pharmaceticals  vs.  Senti Biosciences

 Performance 
       Timeline  
Biodexa Pharmaceticals 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Biodexa Pharmaceticals has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of abnormal performance in the last few months, the Stock's basic indicators remain fairly strong which may send shares a bit higher in April 2025. The current disturbance may also be a sign of long term up-swing for the company investors.
Senti Biosciences 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Senti Biosciences 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 basic indicators remain fairly strong which may send shares a bit higher in April 2025. The recent confusion may also be a sign of long-lasting up-swing for the firm traders.

Biodexa Pharmaceticals and Senti Biosciences Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Biodexa Pharmaceticals and Senti Biosciences

The main advantage of trading using opposite Biodexa Pharmaceticals and Senti Biosciences positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Biodexa Pharmaceticals position performs unexpectedly, Senti Biosciences 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 Senti Biosciences will offset losses from the drop in Senti Biosciences' long position.
The idea behind Biodexa Pharmaceticals and Senti Biosciences 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.

Other Complementary Tools

Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Cryptocurrency Center
Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios
Sign In To Macroaxis
Sign in to explore Macroaxis' wealth optimization platform and fintech modules
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