Correlation Between Samsung Electronics and Insun Environment
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Insun Environment 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 Insun Environment 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 Insun Environment New, you can compare the effects of market volatilities on Samsung Electronics and Insun Environment 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 Insun Environment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Insun Environment.
Diversification Opportunities for Samsung Electronics and Insun Environment
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Samsung and Insun is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Insun Environment New in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Insun Environment New 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 Insun Environment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Insun Environment New has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Insun Environment go up and down completely randomly.
Pair Corralation between Samsung Electronics and Insun Environment
Assuming the 90 days trading horizon Samsung Electronics Co is expected to under-perform the Insun Environment. But the stock apears to be less risky and, when comparing its historical volatility, Samsung Electronics Co is 1.23 times less risky than Insun Environment. The stock trades about -0.11 of its potential returns per unit of risk. The Insun Environment New is currently generating about -0.03 of returns per unit of risk over similar time horizon. If you would invest 583,000 in Insun Environment New on September 21, 2024 and sell it today you would lose (38,000) from holding Insun Environment New or give up 6.52% 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. Insun Environment New
Performance |
Timeline |
Samsung Electronics |
Insun Environment New |
Samsung Electronics and Insun Environment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Insun Environment
The main advantage of trading using opposite Samsung Electronics and Insun Environment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Insun Environment 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 Insun Environment will offset losses from the drop in Insun Environment's long position.Samsung Electronics vs. ABCO Electronics Co | Samsung Electronics vs. SH Energy Chemical | Samsung Electronics vs. Sangshin Electronics Co | Samsung Electronics vs. Namhae Chemical |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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