Correlation Between Ascendas India and Douglas Elliman
Can any of the company-specific risk be diversified away by investing in both Ascendas India and Douglas Elliman 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 Ascendas India and Douglas Elliman into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ascendas India Trust and Douglas Elliman, you can compare the effects of market volatilities on Ascendas India and Douglas Elliman 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 Ascendas India with a short position of Douglas Elliman. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ascendas India and Douglas Elliman.
Diversification Opportunities for Ascendas India and Douglas Elliman
-0.67 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Ascendas and Douglas is -0.67. Overlapping area represents the amount of risk that can be diversified away by holding Ascendas India Trust and Douglas Elliman in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Douglas Elliman and Ascendas India 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 Ascendas India Trust are associated (or correlated) with Douglas Elliman. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Douglas Elliman has no effect on the direction of Ascendas India i.e., Ascendas India and Douglas Elliman go up and down completely randomly.
Pair Corralation between Ascendas India and Douglas Elliman
Assuming the 90 days horizon Ascendas India Trust is expected to under-perform the Douglas Elliman. But the pink sheet apears to be less risky and, when comparing its historical volatility, Ascendas India Trust is 2.62 times less risky than Douglas Elliman. The pink sheet trades about -0.04 of its potential returns per unit of risk. The Douglas Elliman is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 181.00 in Douglas Elliman on September 21, 2024 and sell it today you would lose (11.50) from holding Douglas Elliman or give up 6.35% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Ascendas India Trust vs. Douglas Elliman
Performance |
Timeline |
Ascendas India Trust |
Douglas Elliman |
Ascendas India and Douglas Elliman Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ascendas India and Douglas Elliman
The main advantage of trading using opposite Ascendas India and Douglas Elliman positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ascendas India position performs unexpectedly, Douglas Elliman 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 Douglas Elliman will offset losses from the drop in Douglas Elliman's long position.Ascendas India vs. Asia Pptys | Ascendas India vs. Adler Group SA | Ascendas India vs. Ambase Corp | Ascendas India vs. Bridgemarq Real Estate |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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