Correlation Between Morgan Stanley and Samsung Electronics
Can any of the company-specific risk be diversified away by investing in both Morgan Stanley and Samsung Electronics 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 Samsung Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Morgan Stanley and Samsung Electronics Co, you can compare the effects of market volatilities on Morgan Stanley and Samsung Electronics 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 Samsung Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Morgan Stanley and Samsung Electronics.
Diversification Opportunities for Morgan Stanley and Samsung Electronics
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Morgan and Samsung is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Morgan Stanley and Samsung Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Electronics 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 are associated (or correlated) with Samsung Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung Electronics has no effect on the direction of Morgan Stanley i.e., Morgan Stanley and Samsung Electronics go up and down completely randomly.
Pair Corralation between Morgan Stanley and Samsung Electronics
Assuming the 90 days horizon Morgan Stanley is expected to generate 2.86 times less return on investment than Samsung Electronics. In addition to that, Morgan Stanley is 1.19 times more volatile than Samsung Electronics Co. It trades about 0.02 of its total potential returns per unit of risk. Samsung Electronics Co is currently generating about 0.06 per unit of volatility. If you would invest 1,992,506 in Samsung Electronics Co on December 2, 2024 and sell it today you would earn a total of 90,494 from holding Samsung Electronics Co or generate 4.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.39% |
Values | Daily Returns |
Morgan Stanley vs. Samsung Electronics Co
Performance |
Timeline |
Morgan Stanley |
Samsung Electronics |
Morgan Stanley and Samsung Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Morgan Stanley and Samsung Electronics
The main advantage of trading using opposite Morgan Stanley and Samsung Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Morgan Stanley position performs unexpectedly, Samsung Electronics 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 Samsung Electronics will offset losses from the drop in Samsung Electronics' long position.Morgan Stanley vs. Costco Wholesale | Morgan Stanley vs. Verizon Communications | Morgan Stanley vs. Southern Copper | Morgan Stanley vs. Ross Stores |
Samsung Electronics vs. Verizon Communications | Samsung Electronics vs. FIBRA Storage | Samsung Electronics vs. Delta Air Lines | Samsung Electronics vs. Southern Copper |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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