Correlation Between Morgan Stanley and Samchai Steel
Can any of the company-specific risk be diversified away by investing in both Morgan Stanley and Samchai Steel 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 Samchai Steel 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 Samchai Steel Industries, you can compare the effects of market volatilities on Morgan Stanley and Samchai Steel 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 Samchai Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Morgan Stanley and Samchai Steel.
Diversification Opportunities for Morgan Stanley and Samchai Steel
0.14 | Correlation Coefficient |
Average diversification
The 3 months correlation between Morgan and Samchai is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding Morgan Stanley Direct and Samchai Steel Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samchai Steel Industries 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 Samchai Steel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samchai Steel Industries has no effect on the direction of Morgan Stanley i.e., Morgan Stanley and Samchai Steel go up and down completely randomly.
Pair Corralation between Morgan Stanley and Samchai Steel
Given the investment horizon of 90 days Morgan Stanley is expected to generate 33.76 times less return on investment than Samchai Steel. But when comparing it to its historical volatility, Morgan Stanley Direct is 28.84 times less risky than Samchai Steel. It trades about 0.03 of its potential returns per unit of risk. Samchai Steel Industries is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 88.00 in Samchai Steel Industries on October 12, 2024 and sell it today you would lose (70.00) from holding Samchai Steel Industries or give up 79.55% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 50.63% |
Values | Daily Returns |
Morgan Stanley Direct vs. Samchai Steel Industries
Performance |
Timeline |
Morgan Stanley Direct |
Samchai Steel Industries |
Morgan Stanley and Samchai Steel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Morgan Stanley and Samchai Steel
The main advantage of trading using opposite Morgan Stanley and Samchai Steel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Morgan Stanley position performs unexpectedly, Samchai Steel 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 Samchai Steel will offset losses from the drop in Samchai Steel's long position.Morgan Stanley vs. Uber Technologies | Morgan Stanley vs. Cirmaker Technology | Morgan Stanley vs. Arrow Electronics | Morgan Stanley vs. Vestis |
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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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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