Correlation Between New Residential and Dalata Hotel
Can any of the company-specific risk be diversified away by investing in both New Residential and Dalata Hotel 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 Dalata Hotel 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 Dalata Hotel Group, you can compare the effects of market volatilities on New Residential and Dalata Hotel 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 Dalata Hotel. Check out your portfolio center. Please also check ongoing floating volatility patterns of New Residential and Dalata Hotel.
Diversification Opportunities for New Residential and Dalata Hotel
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between New and Dalata is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding New Residential Investment and Dalata Hotel Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dalata Hotel Group 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 Dalata Hotel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dalata Hotel Group has no effect on the direction of New Residential i.e., New Residential and Dalata Hotel go up and down completely randomly.
Pair Corralation between New Residential and Dalata Hotel
Assuming the 90 days trading horizon New Residential Investment is expected to generate 0.65 times more return on investment than Dalata Hotel. However, New Residential Investment is 1.53 times less risky than Dalata Hotel. It trades about 0.08 of its potential returns per unit of risk. Dalata Hotel Group is currently generating about 0.03 per unit of risk. If you would invest 922.00 in New Residential Investment on October 9, 2024 and sell it today you would earn a total of 158.00 from holding New Residential Investment or generate 17.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
New Residential Investment vs. Dalata Hotel Group
Performance |
Timeline |
New Residential Inve |
Dalata Hotel Group |
New Residential and Dalata Hotel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with New Residential and Dalata Hotel
The main advantage of trading using opposite New Residential and Dalata Hotel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if New Residential position performs unexpectedly, Dalata Hotel 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 Dalata Hotel will offset losses from the drop in Dalata Hotel's long position.New Residential vs. Ryohin Keikaku Co | New Residential vs. Deutsche Telekom AG | New Residential vs. BE Semiconductor Industries | New Residential vs. CRAWFORD A NV |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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