Correlation Between Morgan Stanley and Makina Takim
Can any of the company-specific risk be diversified away by investing in both Morgan Stanley and Makina Takim 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 Makina Takim 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 Makina Takim Endustrisi, you can compare the effects of market volatilities on Morgan Stanley and Makina Takim 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 Makina Takim. Check out your portfolio center. Please also check ongoing floating volatility patterns of Morgan Stanley and Makina Takim.
Diversification Opportunities for Morgan Stanley and Makina Takim
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Morgan and Makina is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Morgan Stanley Direct and Makina Takim Endustrisi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Makina Takim Endustrisi 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 Makina Takim. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Makina Takim Endustrisi has no effect on the direction of Morgan Stanley i.e., Morgan Stanley and Makina Takim go up and down completely randomly.
Pair Corralation between Morgan Stanley and Makina Takim
Given the investment horizon of 90 days Morgan Stanley is expected to generate 2.41 times less return on investment than Makina Takim. But when comparing it to its historical volatility, Morgan Stanley Direct is 2.74 times less risky than Makina Takim. It trades about 0.13 of its potential returns per unit of risk. Makina Takim Endustrisi is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 625.00 in Makina Takim Endustrisi on October 1, 2024 and sell it today you would earn a total of 118.00 from holding Makina Takim Endustrisi or generate 18.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
Morgan Stanley Direct vs. Makina Takim Endustrisi
Performance |
Timeline |
Morgan Stanley Direct |
Makina Takim Endustrisi |
Morgan Stanley and Makina Takim Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Morgan Stanley and Makina Takim
The main advantage of trading using opposite Morgan Stanley and Makina Takim positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Morgan Stanley position performs unexpectedly, Makina Takim 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 Makina Takim will offset losses from the drop in Makina Takim's long position.Morgan Stanley vs. EMCOR Group | Morgan Stanley vs. Chester Mining | Morgan Stanley vs. Everus Construction Group | Morgan Stanley vs. Highway Holdings Limited |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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