Correlation Between New Residential and LVMH Mot
Can any of the company-specific risk be diversified away by investing in both New Residential and LVMH Mot 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 LVMH Mot 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 LVMH Mot Hennessy, you can compare the effects of market volatilities on New Residential and LVMH Mot 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 LVMH Mot. Check out your portfolio center. Please also check ongoing floating volatility patterns of New Residential and LVMH Mot.
Diversification Opportunities for New Residential and LVMH Mot
0.03 | Correlation Coefficient |
Significant diversification
The 3 months correlation between New and LVMH is 0.03. Overlapping area represents the amount of risk that can be diversified away by holding New Residential Investment and LVMH Mot Hennessy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LVMH Mot Hennessy 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 LVMH Mot. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LVMH Mot Hennessy has no effect on the direction of New Residential i.e., New Residential and LVMH Mot go up and down completely randomly.
Pair Corralation between New Residential and LVMH Mot
Assuming the 90 days trading horizon New Residential Investment is expected to generate 0.89 times more return on investment than LVMH Mot. However, New Residential Investment is 1.12 times less risky than LVMH Mot. It trades about 0.14 of its potential returns per unit of risk. LVMH Mot Hennessy is currently generating about 0.03 per unit of risk. If you would invest 1,028 in New Residential Investment on October 11, 2024 and sell it today you would earn a total of 32.00 from holding New Residential Investment or generate 3.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
New Residential Investment vs. LVMH Mot Hennessy
Performance |
Timeline |
New Residential Inve |
LVMH Mot Hennessy |
New Residential and LVMH Mot Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with New Residential and LVMH Mot
The main advantage of trading using opposite New Residential and LVMH Mot positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if New Residential position performs unexpectedly, LVMH Mot 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 LVMH Mot will offset losses from the drop in LVMH Mot's long position.New Residential vs. China BlueChemical | New Residential vs. Merit Medical Systems | New Residential vs. ENVVENO MEDICAL DL 00001 | New Residential vs. SCANSOURCE |
LVMH Mot vs. New Residential Investment | LVMH Mot vs. H2O Retailing | LVMH Mot vs. SLR Investment Corp | LVMH Mot vs. PICKN PAY STORES |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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