Correlation Between Microsoft and Samsung Electronics
Can any of the company-specific risk be diversified away by investing in both Microsoft 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 Microsoft and Samsung Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Samsung Electronics Co, you can compare the effects of market volatilities on Microsoft 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 Microsoft with a short position of Samsung Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Samsung Electronics.
Diversification Opportunities for Microsoft and Samsung Electronics
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between Microsoft and Samsung is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Samsung Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Electronics and Microsoft 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 Microsoft 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 Microsoft i.e., Microsoft and Samsung Electronics go up and down completely randomly.
Pair Corralation between Microsoft and Samsung Electronics
Given the investment horizon of 90 days Microsoft is expected to under-perform the Samsung Electronics. But the stock apears to be less risky and, when comparing its historical volatility, Microsoft is 1.4 times less risky than Samsung Electronics. The stock trades about -0.11 of its potential returns per unit of risk. The Samsung Electronics Co is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 87,800 in Samsung Electronics Co on December 30, 2024 and sell it today you would earn a total of 5,400 from holding Samsung Electronics Co or generate 6.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 96.88% |
Values | Daily Returns |
Microsoft vs. Samsung Electronics Co
Performance |
Timeline |
Microsoft |
Samsung Electronics |
Microsoft and Samsung Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and Samsung Electronics
The main advantage of trading using opposite Microsoft and Samsung Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft 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.Microsoft vs. Palo Alto Networks | Microsoft vs. Uipath Inc | Microsoft vs. Adobe Systems Incorporated | Microsoft vs. Crowdstrike Holdings |
Samsung Electronics vs. JD SPORTS FASH | Samsung Electronics vs. InPlay Oil Corp | Samsung Electronics vs. PLAYWAY SA ZY 10 | Samsung Electronics vs. Singapore Airlines Limited |
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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