Correlation Between Morgan Stanley and Singha Estate
Can any of the company-specific risk be diversified away by investing in both Morgan Stanley and Singha Estate 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 Morgan Stanley and Singha Estate into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Morgan Stanley Direct and Singha Estate Public, you can compare the effects of market volatilities on Morgan Stanley and Singha Estate 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 Morgan Stanley with a short position of Singha Estate. Check out your portfolio center. Please also check ongoing floating volatility patterns of Morgan Stanley and Singha Estate.
Diversification Opportunities for Morgan Stanley and Singha Estate
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Morgan and Singha is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Morgan Stanley Direct and Singha Estate Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Singha Estate Public and Morgan Stanley 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 Morgan Stanley Direct are associated (or correlated) with Singha Estate. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Singha Estate Public has no effect on the direction of Morgan Stanley i.e., Morgan Stanley and Singha Estate go up and down completely randomly.
Pair Corralation between Morgan Stanley and Singha Estate
Given the investment horizon of 90 days Morgan Stanley Direct is expected to generate 0.53 times more return on investment than Singha Estate. However, Morgan Stanley Direct is 1.9 times less risky than Singha Estate. It trades about 0.05 of its potential returns per unit of risk. Singha Estate Public is currently generating about 0.01 per unit of risk. If you would invest 2,080 in Morgan Stanley Direct on September 25, 2024 and sell it today you would earn a total of 21.00 from holding Morgan Stanley Direct or generate 1.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 90.48% |
Values | Daily Returns |
Morgan Stanley Direct vs. Singha Estate Public
Performance |
Timeline |
Morgan Stanley Direct |
Singha Estate Public |
Morgan Stanley and Singha Estate Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Morgan Stanley and Singha Estate
The main advantage of trading using opposite Morgan Stanley and Singha Estate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Morgan Stanley position performs unexpectedly, Singha Estate 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 Singha Estate will offset losses from the drop in Singha Estate's long position.Morgan Stanley vs. Avient Corp | Morgan Stanley vs. Eastman Chemical | Morgan Stanley vs. NL Industries | Morgan Stanley vs. Molson Coors Brewing |
Singha Estate vs. Siri Prime Office | Singha Estate vs. WHA Public | Singha Estate vs. Supalai Public | Singha Estate vs. Quality Houses Public |
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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