Correlation Between PPG Industries and DATAGROUP
Can any of the company-specific risk be diversified away by investing in both PPG Industries and DATAGROUP 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 PPG Industries and DATAGROUP into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PPG Industries and DATAGROUP SE, you can compare the effects of market volatilities on PPG Industries and DATAGROUP 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 PPG Industries with a short position of DATAGROUP. Check out your portfolio center. Please also check ongoing floating volatility patterns of PPG Industries and DATAGROUP.
Diversification Opportunities for PPG Industries and DATAGROUP
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between PPG and DATAGROUP is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding PPG Industries and DATAGROUP SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DATAGROUP SE and PPG Industries 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 PPG Industries are associated (or correlated) with DATAGROUP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DATAGROUP SE has no effect on the direction of PPG Industries i.e., PPG Industries and DATAGROUP go up and down completely randomly.
Pair Corralation between PPG Industries and DATAGROUP
Assuming the 90 days horizon PPG Industries is expected to under-perform the DATAGROUP. But the stock apears to be less risky and, when comparing its historical volatility, PPG Industries is 2.08 times less risky than DATAGROUP. The stock trades about -0.02 of its potential returns per unit of risk. The DATAGROUP SE is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 4,370 in DATAGROUP SE on October 5, 2024 and sell it today you would earn a total of 310.00 from holding DATAGROUP SE or generate 7.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
PPG Industries vs. DATAGROUP SE
Performance |
Timeline |
PPG Industries |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
DATAGROUP SE |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Insignificant
PPG Industries and DATAGROUP Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PPG Industries and DATAGROUP
The main advantage of trading using opposite PPG Industries and DATAGROUP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PPG Industries position performs unexpectedly, DATAGROUP 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 DATAGROUP will offset losses from the drop in DATAGROUP's long position.The idea behind PPG Industries and DATAGROUP SE 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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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