Correlation Between Samsung Electronics and KPX Green
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and KPX Green 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 KPX Green 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 KPX Green Chemical, you can compare the effects of market volatilities on Samsung Electronics and KPX Green 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 KPX Green. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and KPX Green.
Diversification Opportunities for Samsung Electronics and KPX Green
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Samsung and KPX is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and KPX Green Chemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KPX Green Chemical 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 KPX Green. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KPX Green Chemical has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and KPX Green go up and down completely randomly.
Pair Corralation between Samsung Electronics and KPX Green
Assuming the 90 days trading horizon Samsung Electronics Co is expected to under-perform the KPX Green. But the stock apears to be less risky and, when comparing its historical volatility, Samsung Electronics Co is 1.58 times less risky than KPX Green. The stock trades about -0.08 of its potential returns per unit of risk. The KPX Green Chemical is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 710,427 in KPX Green Chemical on September 20, 2024 and sell it today you would lose (45,427) from holding KPX Green Chemical or give up 6.39% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. KPX Green Chemical
Performance |
Timeline |
Samsung Electronics |
KPX Green Chemical |
Samsung Electronics and KPX Green Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and KPX Green
The main advantage of trading using opposite Samsung Electronics and KPX Green positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, KPX Green 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 KPX Green will offset losses from the drop in KPX Green's long position.Samsung Electronics vs. Cube Entertainment | Samsung Electronics vs. Dreamus Company | Samsung Electronics vs. LG Energy Solution | Samsung Electronics vs. Dongwon System |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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