Correlation Between Daewoo SBI and LG Electronics
Can any of the company-specific risk be diversified away by investing in both Daewoo SBI and LG Electronics 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 Daewoo SBI and LG Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daewoo SBI SPAC and LG Electronics, you can compare the effects of market volatilities on Daewoo SBI and LG Electronics 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 Daewoo SBI with a short position of LG Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daewoo SBI and LG Electronics.
Diversification Opportunities for Daewoo SBI and LG Electronics
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Daewoo and 066570 is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Daewoo SBI SPAC and LG Electronics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LG Electronics and Daewoo SBI 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 Daewoo SBI SPAC are associated (or correlated) with LG Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LG Electronics has no effect on the direction of Daewoo SBI i.e., Daewoo SBI and LG Electronics go up and down completely randomly.
Pair Corralation between Daewoo SBI and LG Electronics
Assuming the 90 days trading horizon Daewoo SBI SPAC is expected to under-perform the LG Electronics. But the stock apears to be less risky and, when comparing its historical volatility, Daewoo SBI SPAC is 1.31 times less risky than LG Electronics. The stock trades about -0.2 of its potential returns per unit of risk. The LG Electronics is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 9,920,000 in LG Electronics on August 25, 2024 and sell it today you would lose (590,000) from holding LG Electronics or give up 5.95% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Daewoo SBI SPAC vs. LG Electronics
Performance |
| Timeline |
| Daewoo SBI SPAC |
| LG Electronics |
Daewoo SBI and LG Electronics Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Daewoo SBI and LG Electronics
The main advantage of trading using opposite Daewoo SBI and LG Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daewoo SBI position performs unexpectedly, LG Electronics 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 LG Electronics will offset losses from the drop in LG Electronics' long position.| Daewoo SBI vs. Deutsch Motors | Daewoo SBI vs. Hanjinkal | Daewoo SBI vs. Busan Industrial Co | Daewoo SBI vs. Busan Ind |
| LG Electronics vs. Korea Information Communications | LG Electronics vs. JC Chemical Co | LG Electronics vs. Seoul Electronics Telecom | LG Electronics vs. Kukdong Oil Chemicals |
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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