Correlation Between New Residential and CDL INVESTMENT
Can any of the company-specific risk be diversified away by investing in both New Residential and CDL INVESTMENT 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 New Residential and CDL INVESTMENT into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between New Residential Investment and CDL INVESTMENT, you can compare the effects of market volatilities on New Residential and CDL INVESTMENT 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 New Residential with a short position of CDL INVESTMENT. Check out your portfolio center. Please also check ongoing floating volatility patterns of New Residential and CDL INVESTMENT.
Diversification Opportunities for New Residential and CDL INVESTMENT
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between New and CDL is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding New Residential Investment and CDL INVESTMENT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CDL INVESTMENT and New Residential 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 New Residential Investment are associated (or correlated) with CDL INVESTMENT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CDL INVESTMENT has no effect on the direction of New Residential i.e., New Residential and CDL INVESTMENT go up and down completely randomly.
Pair Corralation between New Residential and CDL INVESTMENT
Assuming the 90 days trading horizon New Residential Investment is expected to generate 0.55 times more return on investment than CDL INVESTMENT. However, New Residential Investment is 1.82 times less risky than CDL INVESTMENT. It trades about 0.08 of its potential returns per unit of risk. CDL INVESTMENT is currently generating about 0.02 per unit of risk. If you would invest 642.00 in New Residential Investment on September 14, 2024 and sell it today you would earn a total of 419.00 from holding New Residential Investment or generate 65.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
New Residential Investment vs. CDL INVESTMENT
Performance |
Timeline |
New Residential Inve |
CDL INVESTMENT |
New Residential and CDL INVESTMENT Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with New Residential and CDL INVESTMENT
The main advantage of trading using opposite New Residential and CDL INVESTMENT positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if New Residential position performs unexpectedly, CDL INVESTMENT 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 CDL INVESTMENT will offset losses from the drop in CDL INVESTMENT's long position.New Residential vs. ATRYS HEALTH SA | New Residential vs. EHEALTH | New Residential vs. Natural Health Trends | New Residential vs. National Beverage Corp |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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