Correlation Between Samsung Electronics and Furonteer
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Furonteer 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 Furonteer 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 Furonteer, you can compare the effects of market volatilities on Samsung Electronics and Furonteer 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 Furonteer. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Furonteer.
Diversification Opportunities for Samsung Electronics and Furonteer
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Samsung and Furonteer is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Furonteer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Furonteer 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 Furonteer. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Furonteer has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Furonteer go up and down completely randomly.
Pair Corralation between Samsung Electronics and Furonteer
Assuming the 90 days trading horizon Samsung Electronics Co is expected to under-perform the Furonteer. But the stock apears to be less risky and, when comparing its historical volatility, Samsung Electronics Co is 3.4 times less risky than Furonteer. The stock trades about -0.2 of its potential returns per unit of risk. The Furonteer is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 2,705,000 in Furonteer on September 27, 2024 and sell it today you would lose (90,000) from holding Furonteer or give up 3.33% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. Furonteer
Performance |
Timeline |
Samsung Electronics |
Furonteer |
Samsung Electronics and Furonteer Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Furonteer
The main advantage of trading using opposite Samsung Electronics and Furonteer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Furonteer 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 Furonteer will offset losses from the drop in Furonteer's long position.Samsung Electronics vs. LG Corp | Samsung Electronics vs. Zinus Inc | Samsung Electronics vs. Humasis Co | Samsung Electronics vs. JYP Entertainment |
Furonteer vs. Samsung Electronics Co | Furonteer vs. Samsung Electronics Co | Furonteer vs. LG Energy Solution | Furonteer vs. SK Hynix |
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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