Correlation Between DATAGROUP and Pure Storage
Can any of the company-specific risk be diversified away by investing in both DATAGROUP and Pure Storage 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 DATAGROUP and Pure Storage into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DATAGROUP SE and Pure Storage, you can compare the effects of market volatilities on DATAGROUP and Pure Storage 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 DATAGROUP with a short position of Pure Storage. Check out your portfolio center. Please also check ongoing floating volatility patterns of DATAGROUP and Pure Storage.
Diversification Opportunities for DATAGROUP and Pure Storage
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between DATAGROUP and Pure is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding DATAGROUP SE and Pure Storage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pure Storage and DATAGROUP 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 DATAGROUP SE are associated (or correlated) with Pure Storage. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pure Storage has no effect on the direction of DATAGROUP i.e., DATAGROUP and Pure Storage go up and down completely randomly.
Pair Corralation between DATAGROUP and Pure Storage
Assuming the 90 days trading horizon DATAGROUP is expected to generate 1.77 times less return on investment than Pure Storage. But when comparing it to its historical volatility, DATAGROUP SE is 1.56 times less risky than Pure Storage. It trades about 0.11 of its potential returns per unit of risk. Pure Storage is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 4,529 in Pure Storage on September 23, 2024 and sell it today you would earn a total of 1,432 from holding Pure Storage or generate 31.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
DATAGROUP SE vs. Pure Storage
Performance |
Timeline |
DATAGROUP SE |
Pure Storage |
DATAGROUP and Pure Storage Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DATAGROUP and Pure Storage
The main advantage of trading using opposite DATAGROUP and Pure Storage positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DATAGROUP position performs unexpectedly, Pure Storage 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 Pure Storage will offset losses from the drop in Pure Storage's long position.DATAGROUP vs. Accenture plc | DATAGROUP vs. International Business Machines | DATAGROUP vs. Infosys Limited | DATAGROUP vs. Cognizant Technology Solutions |
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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Other Complementary Tools
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules |