Correlation Between EPAM Systems and DXC Technology
Can any of the company-specific risk be diversified away by investing in both EPAM Systems and DXC Technology 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 EPAM Systems and DXC Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between EPAM Systems and DXC Technology Co, you can compare the effects of market volatilities on EPAM Systems and DXC Technology 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 EPAM Systems with a short position of DXC Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of EPAM Systems and DXC Technology.
Diversification Opportunities for EPAM Systems and DXC Technology
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between EPAM and DXC is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding EPAM Systems and DXC Technology Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DXC Technology and EPAM Systems 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 EPAM Systems are associated (or correlated) with DXC Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DXC Technology has no effect on the direction of EPAM Systems i.e., EPAM Systems and DXC Technology go up and down completely randomly.
Pair Corralation between EPAM Systems and DXC Technology
Given the investment horizon of 90 days EPAM Systems is expected to generate 1.04 times more return on investment than DXC Technology. However, EPAM Systems is 1.04 times more volatile than DXC Technology Co. It trades about 0.16 of its potential returns per unit of risk. DXC Technology Co is currently generating about 0.07 per unit of risk. If you would invest 19,534 in EPAM Systems on August 31, 2024 and sell it today you would earn a total of 5,045 from holding EPAM Systems or generate 25.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
EPAM Systems vs. DXC Technology Co
Performance |
Timeline |
EPAM Systems |
DXC Technology |
EPAM Systems and DXC Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with EPAM Systems and DXC Technology
The main advantage of trading using opposite EPAM Systems and DXC Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EPAM Systems position performs unexpectedly, DXC Technology 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 DXC Technology will offset losses from the drop in DXC Technology's long position.EPAM Systems vs. Concentrix | EPAM Systems vs. Gartner | EPAM Systems vs. Accenture plc | EPAM Systems vs. International Business Machines |
DXC Technology vs. Innodata | DXC Technology vs. International Business Machines | DXC Technology vs. Aurora Innovation | DXC Technology vs. BigBearai Holdings |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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