Correlation Between Sino Biopharmaceutica and Oxford Cannabinoid

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

Diversification Opportunities for Sino Biopharmaceutica and Oxford Cannabinoid

0.0
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between Sino and Oxford is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Sino Biopharmaceutical Limited and Oxford Cannabinoid Technologie in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oxford Cannabinoid and Sino Biopharmaceutica 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 Sino Biopharmaceutical Limited are associated (or correlated) with Oxford Cannabinoid. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oxford Cannabinoid has no effect on the direction of Sino Biopharmaceutica i.e., Sino Biopharmaceutica and Oxford Cannabinoid go up and down completely randomly.

Pair Corralation between Sino Biopharmaceutica and Oxford Cannabinoid

Assuming the 90 days horizon Sino Biopharmaceutica is expected to generate 17.14 times less return on investment than Oxford Cannabinoid. But when comparing it to its historical volatility, Sino Biopharmaceutical Limited is 6.4 times less risky than Oxford Cannabinoid. It trades about 0.01 of its potential returns per unit of risk. Oxford Cannabinoid Technologies is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest  0.51  in Oxford Cannabinoid Technologies on September 2, 2024 and sell it today you would lose (0.23) from holding Oxford Cannabinoid Technologies or give up 45.1% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy62.1%
ValuesDaily Returns

Sino Biopharmaceutical Limited  vs.  Oxford Cannabinoid Technologie

 Performance 
       Timeline  
Sino Biopharmaceutical 

Risk-Adjusted Performance

5 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in Sino Biopharmaceutical Limited are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. Despite nearly conflicting technical and fundamental indicators, Sino Biopharmaceutica may actually be approaching a critical reversion point that can send shares even higher in January 2025.
Oxford Cannabinoid 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Oxford Cannabinoid Technologies has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable technical indicators, Oxford Cannabinoid is not utilizing all of its potentials. The latest stock price disturbance, may contribute to mid-run losses for the stockholders.

Sino Biopharmaceutica and Oxford Cannabinoid Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Sino Biopharmaceutica and Oxford Cannabinoid

The main advantage of trading using opposite Sino Biopharmaceutica and Oxford Cannabinoid positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sino Biopharmaceutica position performs unexpectedly, Oxford Cannabinoid 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 Oxford Cannabinoid will offset losses from the drop in Oxford Cannabinoid's long position.
The idea behind Sino Biopharmaceutical Limited and Oxford Cannabinoid Technologies 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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.

Other Complementary Tools

Portfolio Center
All portfolio management and optimization tools to improve performance of your portfolios
Idea Breakdown
Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes
Bollinger Bands
Use Bollinger Bands indicator to analyze target price for a given investing horizon
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk
Risk-Return Analysis
View associations between returns expected from investment and the risk you assume