Correlation Between Universe Pharmaceuticals and Sangamo Therapeutics

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

Diversification Opportunities for Universe Pharmaceuticals and Sangamo Therapeutics

-0.47
  Correlation Coefficient

Very good diversification

The 3 months correlation between Universe and Sangamo is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Universe Pharmaceuticals and Sangamo Therapeutics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sangamo Therapeutics and Universe Pharmaceuticals 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 Universe Pharmaceuticals are associated (or correlated) with Sangamo Therapeutics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sangamo Therapeutics has no effect on the direction of Universe Pharmaceuticals i.e., Universe Pharmaceuticals and Sangamo Therapeutics go up and down completely randomly.

Pair Corralation between Universe Pharmaceuticals and Sangamo Therapeutics

Considering the 90-day investment horizon Universe Pharmaceuticals is expected to under-perform the Sangamo Therapeutics. But the stock apears to be less risky and, when comparing its historical volatility, Universe Pharmaceuticals is 2.12 times less risky than Sangamo Therapeutics. The stock trades about -0.45 of its potential returns per unit of risk. The Sangamo Therapeutics is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest  200.00  in Sangamo Therapeutics on October 9, 2024 and sell it today you would lose (63.00) from holding Sangamo Therapeutics or give up 31.5% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

Universe Pharmaceuticals  vs.  Sangamo Therapeutics

 Performance 
       Timeline  
Universe Pharmaceuticals 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Universe Pharmaceuticals has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather unsteady basic indicators, Universe Pharmaceuticals may actually be approaching a critical reversion point that can send shares even higher in February 2025.
Sangamo Therapeutics 

Risk-Adjusted Performance

11 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Sangamo Therapeutics are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. In spite of very uncertain primary indicators, Sangamo Therapeutics displayed solid returns over the last few months and may actually be approaching a breakup point.

Universe Pharmaceuticals and Sangamo Therapeutics Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Universe Pharmaceuticals and Sangamo Therapeutics

The main advantage of trading using opposite Universe Pharmaceuticals and Sangamo Therapeutics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Universe Pharmaceuticals position performs unexpectedly, Sangamo Therapeutics 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 Sangamo Therapeutics will offset losses from the drop in Sangamo Therapeutics' long position.
The idea behind Universe Pharmaceuticals and Sangamo Therapeutics 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.

Other Complementary Tools

Piotroski F Score
Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals
Premium Stories
Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope
Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas
ETFs
Find actively traded Exchange Traded Funds (ETF) from around the world
Portfolio File Import
Quickly import all of your third-party portfolios from your local drive in csv format