Correlation Between Samsung Electronics and WOOJUNG BIO
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and WOOJUNG BIO 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 WOOJUNG BIO 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 WOOJUNG BIO, you can compare the effects of market volatilities on Samsung Electronics and WOOJUNG BIO 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 WOOJUNG BIO. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and WOOJUNG BIO.
Diversification Opportunities for Samsung Electronics and WOOJUNG BIO
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Samsung and WOOJUNG is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and WOOJUNG BIO in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WOOJUNG BIO 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 WOOJUNG BIO. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WOOJUNG BIO has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and WOOJUNG BIO go up and down completely randomly.
Pair Corralation between Samsung Electronics and WOOJUNG BIO
Assuming the 90 days trading horizon Samsung Electronics Co is expected to under-perform the WOOJUNG BIO. But the stock apears to be less risky and, when comparing its historical volatility, Samsung Electronics Co is 2.21 times less risky than WOOJUNG BIO. The stock trades about -0.02 of its potential returns per unit of risk. The WOOJUNG BIO is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 167,700 in WOOJUNG BIO on October 4, 2024 and sell it today you would earn a total of 2,300 from holding WOOJUNG BIO or generate 1.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. WOOJUNG BIO
Performance |
Timeline |
Samsung Electronics |
WOOJUNG BIO |
Samsung Electronics and WOOJUNG BIO Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and WOOJUNG BIO
The main advantage of trading using opposite Samsung Electronics and WOOJUNG BIO positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, WOOJUNG BIO 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 WOOJUNG BIO will offset losses from the drop in WOOJUNG BIO's long position.Samsung Electronics vs. Shinil Industrial Co | Samsung Electronics vs. Hwasung Industrial Co | Samsung Electronics vs. Hyunwoo Industrial Co | Samsung Electronics vs. Daesung Industrial Co |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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