Correlation Between Samsung Electronics and Big Technologies
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Big Technologies 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 Samsung Electronics and Big Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samsung Electronics Co and Big Technologies PLC, you can compare the effects of market volatilities on Samsung Electronics and Big Technologies 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 Samsung Electronics with a short position of Big Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Big Technologies.
Diversification Opportunities for Samsung Electronics and Big Technologies
-0.83 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Samsung and Big is -0.83. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Big Technologies PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Big Technologies PLC and Samsung Electronics 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 Samsung Electronics Co are associated (or correlated) with Big Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Big Technologies PLC has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Big Technologies go up and down completely randomly.
Pair Corralation between Samsung Electronics and Big Technologies
Assuming the 90 days trading horizon Samsung Electronics Co is expected to under-perform the Big Technologies. In addition to that, Samsung Electronics is 1.02 times more volatile than Big Technologies PLC. It trades about -0.13 of its total potential returns per unit of risk. Big Technologies PLC is currently generating about 0.16 per unit of volatility. If you would invest 11,000 in Big Technologies PLC on September 17, 2024 and sell it today you would earn a total of 2,900 from holding Big Technologies PLC or generate 26.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. Big Technologies PLC
Performance |
Timeline |
Samsung Electronics |
Big Technologies PLC |
Samsung Electronics and Big Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Big Technologies
The main advantage of trading using opposite Samsung Electronics and Big Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Big Technologies 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 Big Technologies will offset losses from the drop in Big Technologies' long position.Samsung Electronics vs. Rockfire Resources plc | Samsung Electronics vs. Tlou Energy | Samsung Electronics vs. Ikigai Ventures | Samsung Electronics vs. Falcon Oil Gas |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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