Correlation Between Samsung Electronics and Qurate Retail
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Qurate Retail 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 Qurate Retail 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 Qurate Retail Series, you can compare the effects of market volatilities on Samsung Electronics and Qurate Retail 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 Qurate Retail. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Qurate Retail.
Diversification Opportunities for Samsung Electronics and Qurate Retail
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Samsung and Qurate is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Qurate Retail Series in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Qurate Retail Series 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 Qurate Retail. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Qurate Retail Series has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Qurate Retail go up and down completely randomly.
Pair Corralation between Samsung Electronics and Qurate Retail
Assuming the 90 days trading horizon Samsung Electronics Co is expected to under-perform the Qurate Retail. But the stock apears to be less risky and, when comparing its historical volatility, Samsung Electronics Co is 2.39 times less risky than Qurate Retail. The stock trades about -0.2 of its potential returns per unit of risk. The Qurate Retail Series is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 54.00 in Qurate Retail Series on September 4, 2024 and sell it today you would lose (11.00) from holding Qurate Retail Series or give up 20.37% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. Qurate Retail Series
Performance |
Timeline |
Samsung Electronics |
Qurate Retail Series |
Samsung Electronics and Qurate Retail Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Qurate Retail
The main advantage of trading using opposite Samsung Electronics and Qurate Retail positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Qurate Retail 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 Qurate Retail will offset losses from the drop in Qurate Retail's long position.Samsung Electronics vs. MTI Wireless Edge | Samsung Electronics vs. Ecclesiastical Insurance Office | Samsung Electronics vs. Pets at Home | Samsung Electronics vs. Norwegian Air Shuttle |
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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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