Correlation Between Morgan Stanley and Lokman Hekim
Can any of the company-specific risk be diversified away by investing in both Morgan Stanley and Lokman Hekim 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 Lokman Hekim 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 Lokman Hekim Engurusag, you can compare the effects of market volatilities on Morgan Stanley and Lokman Hekim 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 Lokman Hekim. Check out your portfolio center. Please also check ongoing floating volatility patterns of Morgan Stanley and Lokman Hekim.
Diversification Opportunities for Morgan Stanley and Lokman Hekim
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Morgan and Lokman is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Morgan Stanley Direct and Lokman Hekim Engurusag in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lokman Hekim Engurusag 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 Lokman Hekim. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lokman Hekim Engurusag has no effect on the direction of Morgan Stanley i.e., Morgan Stanley and Lokman Hekim go up and down completely randomly.
Pair Corralation between Morgan Stanley and Lokman Hekim
Given the investment horizon of 90 days Morgan Stanley Direct is expected to generate 1.12 times more return on investment than Lokman Hekim. However, Morgan Stanley is 1.12 times more volatile than Lokman Hekim Engurusag. It trades about 0.09 of its potential returns per unit of risk. Lokman Hekim Engurusag is currently generating about -0.09 per unit of risk. If you would invest 2,043 in Morgan Stanley Direct on September 23, 2024 and sell it today you would earn a total of 41.00 from holding Morgan Stanley Direct or generate 2.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.45% |
Values | Daily Returns |
Morgan Stanley Direct vs. Lokman Hekim Engurusag
Performance |
Timeline |
Morgan Stanley Direct |
Lokman Hekim Engurusag |
Morgan Stanley and Lokman Hekim Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Morgan Stanley and Lokman Hekim
The main advantage of trading using opposite Morgan Stanley and Lokman Hekim positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Morgan Stanley position performs unexpectedly, Lokman Hekim 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 Lokman Hekim will offset losses from the drop in Lokman Hekim's long position.Morgan Stanley vs. United Rentals | Morgan Stanley vs. HE Equipment Services | Morgan Stanley vs. Triton International Limited | Morgan Stanley vs. Ryanair Holdings PLC |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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