Correlation Between Samsung Electronics and Bytes Technology
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Bytes Technology 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 Bytes Technology 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 Bytes Technology, you can compare the effects of market volatilities on Samsung Electronics and Bytes Technology 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 Bytes Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Bytes Technology.
Diversification Opportunities for Samsung Electronics and Bytes Technology
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Samsung and Bytes is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Bytes Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bytes Technology 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 Bytes Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bytes Technology has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Bytes Technology go up and down completely randomly.
Pair Corralation between Samsung Electronics and Bytes Technology
Assuming the 90 days trading horizon Samsung Electronics Co is expected to generate 1.37 times more return on investment than Bytes Technology. However, Samsung Electronics is 1.37 times more volatile than Bytes Technology. It trades about -0.04 of its potential returns per unit of risk. Bytes Technology is currently generating about -0.07 per unit of risk. If you would invest 88,600 in Samsung Electronics Co on August 31, 2024 and sell it today you would lose (2,800) from holding Samsung Electronics Co or give up 3.16% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. Bytes Technology
Performance |
Timeline |
Samsung Electronics |
Bytes Technology |
Samsung Electronics and Bytes Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Bytes Technology
The main advantage of trading using opposite Samsung Electronics and Bytes Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Bytes Technology 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 Bytes Technology will offset losses from the drop in Bytes Technology's long position.Samsung Electronics vs. Kaufman Et Broad | Samsung Electronics vs. Allianz Technology Trust | Samsung Electronics vs. Monster Beverage Corp | Samsung Electronics vs. Gaztransport et Technigaz |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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