Correlation Between McKesson and Zynex

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

Diversification Opportunities for McKesson and Zynex

0.12
  Correlation Coefficient

Average diversification

The 3 months correlation between McKesson and Zynex is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding McKesson and Zynex Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Zynex Inc and McKesson 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 McKesson are associated (or correlated) with Zynex. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Zynex Inc has no effect on the direction of McKesson i.e., McKesson and Zynex go up and down completely randomly.

Pair Corralation between McKesson and Zynex

Considering the 90-day investment horizon McKesson is expected to generate 0.45 times more return on investment than Zynex. However, McKesson is 2.23 times less risky than Zynex. It trades about 0.01 of its potential returns per unit of risk. Zynex Inc is currently generating about -0.29 per unit of risk. If you would invest  53,649  in McKesson on February 1, 2024 and sell it today you would earn a total of  72.00  from holding McKesson or generate 0.13% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

McKesson  vs.  Zynex Inc

 Performance 
       Timeline  
McKesson 

Risk-Adjusted Performance

8 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in McKesson are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. Despite quite inconsistent fundamental indicators, McKesson may actually be approaching a critical reversion point that can send shares even higher in June 2024.
Zynex Inc 

Risk-Adjusted Performance

0 of 100

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

McKesson and Zynex Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with McKesson and Zynex

The main advantage of trading using opposite McKesson and Zynex positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if McKesson position performs unexpectedly, Zynex 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 Zynex will offset losses from the drop in Zynex's long position.
The idea behind McKesson and Zynex Inc 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 Anywhere module to track or share privately all of your investments from the convenience of any device.

Other Complementary Tools

Analyst Advice
Analyst recommendations and target price estimates broken down by several categories
Sign In To Macroaxis
Sign in to explore Macroaxis' wealth optimization platform and fintech modules
Price Ceiling Movement
Calculate and plot Price Ceiling Movement for different equity instruments
Share Portfolio
Track or share privately all of your investments from the convenience of any device
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios
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
Companies Directory
Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals
Balance Of Power
Check stock momentum by analyzing Balance Of Power indicator and other technical ratios
Stocks Directory
Find actively traded stocks across global markets
Positions Ratings
Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance
Equity Valuation
Check real value of public entities based on technical and fundamental data