Correlation Between Ocado Group and Wm Morrison

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

Diversification Opportunities for Ocado Group and Wm Morrison

0.0
  Correlation Coefficient

Pay attention - limited upside

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

Pair Corralation between Ocado Group and Wm Morrison

If you would invest (100.00) in Wm Morrison Supermarkets on January 20, 2024 and sell it today you would earn a total of  100.00  from holding Wm Morrison Supermarkets or generate -100.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy0.0%
ValuesDaily Returns

Ocado Group PLC  vs.  Wm Morrison Supermarkets

 Performance 
       Timeline  
Ocado Group PLC 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Ocado Group PLC 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 technical and fundamental indicators remain nearly stable which may send shares a bit higher in May 2024. The current disturbance may also be a sign of long-run up-swing for the company stockholders.
Wm Morrison Supermarkets 

Risk-Adjusted Performance

0 of 100

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

Ocado Group and Wm Morrison Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Ocado Group and Wm Morrison

The main advantage of trading using opposite Ocado Group and Wm Morrison positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ocado Group position performs unexpectedly, Wm Morrison 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 Wm Morrison will offset losses from the drop in Wm Morrison's long position.
The idea behind Ocado Group PLC and Wm Morrison Supermarkets 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 Dashboard module to portfolio dashboard that provides centralized access to all your investments.

Other Complementary Tools

Investing Opportunities
Build portfolios using our predefined set of ideas and optimize them against your investing preferences
Cryptocurrency Center
Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency
Share Portfolio
Track or share privately all of your investments from the convenience of any device
Equity Analysis
Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities
Top Crypto Exchanges
Search and analyze digital assets across top global cryptocurrency exchanges
Risk-Return Analysis
View associations between returns expected from investment and the risk you assume
Equity Valuation
Check real value of public entities based on technical and fundamental data
AI Investment Finder
Use AI to screen and filter profitable investment opportunities
Stocks Directory
Find actively traded stocks across global markets
Money Flow Index
Determine momentum by analyzing Money Flow Index and other technical indicators
Technical Analysis
Check basic technical indicators and analysis based on most latest market data
Global Correlations
Find global opportunities by holding instruments from different markets
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets