Correlation Between Samsung Life and Daelim Trading
Can any of the company-specific risk be diversified away by investing in both Samsung Life and Daelim Trading 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 Life and Daelim Trading into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samsung Life Insurance and Daelim Trading Co, you can compare the effects of market volatilities on Samsung Life and Daelim Trading 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 Life with a short position of Daelim Trading. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Life and Daelim Trading.
Diversification Opportunities for Samsung Life and Daelim Trading
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Samsung and Daelim is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Life Insurance and Daelim Trading Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Daelim Trading and Samsung Life 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 Life Insurance are associated (or correlated) with Daelim Trading. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Daelim Trading has no effect on the direction of Samsung Life i.e., Samsung Life and Daelim Trading go up and down completely randomly.
Pair Corralation between Samsung Life and Daelim Trading
Assuming the 90 days trading horizon Samsung Life Insurance is expected to under-perform the Daelim Trading. In addition to that, Samsung Life is 1.27 times more volatile than Daelim Trading Co. It trades about -0.48 of its total potential returns per unit of risk. Daelim Trading Co is currently generating about -0.01 per unit of volatility. If you would invest 260,500 in Daelim Trading Co on October 30, 2024 and sell it today you would lose (1,000.00) from holding Daelim Trading Co or give up 0.38% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Samsung Life Insurance vs. Daelim Trading Co
Performance |
| Timeline |
| Samsung Life Insurance |
| Daelim Trading |
Samsung Life and Daelim Trading Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Samsung Life and Daelim Trading
The main advantage of trading using opposite Samsung Life and Daelim Trading positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Life position performs unexpectedly, Daelim Trading 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 Daelim Trading will offset losses from the drop in Daelim Trading's long position.| Samsung Life vs. Youngchang Chemical Co | Samsung Life vs. Tae Kyung Chemical | Samsung Life vs. DB Insurance Co | Samsung Life vs. Dgb Financial |
| Daelim Trading vs. Infinitt Healthcare Co | Daelim Trading vs. Lotte Chilsung Beverage | Daelim Trading vs. INFINITT Healthcare Co | Daelim Trading vs. LG Household Healthcare |
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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