Correlation Between DXC Technology and New Residential
Can any of the company-specific risk be diversified away by investing in both DXC Technology and New Residential 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 DXC Technology and New Residential into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DXC Technology Co and New Residential Investment, you can compare the effects of market volatilities on DXC Technology and New Residential 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 DXC Technology with a short position of New Residential. Check out your portfolio center. Please also check ongoing floating volatility patterns of DXC Technology and New Residential.
Diversification Opportunities for DXC Technology and New Residential
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between DXC and New is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding DXC Technology Co and New Residential Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on New Residential Inve and DXC Technology 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 DXC Technology Co are associated (or correlated) with New Residential. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of New Residential Inve has no effect on the direction of DXC Technology i.e., DXC Technology and New Residential go up and down completely randomly.
Pair Corralation between DXC Technology and New Residential
Assuming the 90 days trading horizon DXC Technology Co is expected to under-perform the New Residential. In addition to that, DXC Technology is 1.53 times more volatile than New Residential Investment. It trades about -0.22 of its total potential returns per unit of risk. New Residential Investment is currently generating about 0.06 per unit of volatility. If you would invest 1,023 in New Residential Investment on December 20, 2024 and sell it today you would earn a total of 45.00 from holding New Residential Investment or generate 4.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
DXC Technology Co vs. New Residential Investment
Performance |
Timeline |
DXC Technology |
New Residential Inve |
DXC Technology and New Residential Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DXC Technology and New Residential
The main advantage of trading using opposite DXC Technology and New Residential positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DXC Technology position performs unexpectedly, New Residential 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 New Residential will offset losses from the drop in New Residential's long position.DXC Technology vs. Tencent Music Entertainment | DXC Technology vs. China Eastern Airlines | DXC Technology vs. JAPAN AIRLINES | DXC Technology vs. Gol Intelligent Airlines |
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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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