Correlation Between Samsung Electronics and Haier Smart
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Haier Smart 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 Haier Smart 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 Haier Smart Home, you can compare the effects of market volatilities on Samsung Electronics and Haier Smart 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 Haier Smart. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Haier Smart.
Diversification Opportunities for Samsung Electronics and Haier Smart
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Samsung and Haier is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Haier Smart Home in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Haier Smart Home 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 Haier Smart. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Haier Smart Home has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Haier Smart go up and down completely randomly.
Pair Corralation between Samsung Electronics and Haier Smart
Assuming the 90 days horizon Samsung Electronics Co is expected to generate 1.62 times more return on investment than Haier Smart. However, Samsung Electronics is 1.62 times more volatile than Haier Smart Home. It trades about 0.05 of its potential returns per unit of risk. Haier Smart Home is currently generating about 0.05 per unit of risk. 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 Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. Haier Smart Home
Performance |
Timeline |
Samsung Electronics |
Haier Smart Home |
Samsung Electronics and Haier Smart Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Haier Smart
The main advantage of trading using opposite Samsung Electronics and Haier Smart positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Haier Smart 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 Haier Smart will offset losses from the drop in Haier Smart's long position.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 |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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