Correlation Between Daewoo SBI and Lotte Non
Can any of the company-specific risk be diversified away by investing in both Daewoo SBI and Lotte Non 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 Lotte Non 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 Lotte Non Life Insurance, you can compare the effects of market volatilities on Daewoo SBI and Lotte Non 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 Lotte Non. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daewoo SBI and Lotte Non.
Diversification Opportunities for Daewoo SBI and Lotte Non
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Daewoo and Lotte is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Daewoo SBI SPAC and Lotte Non Life Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lotte Non Life 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 Lotte Non. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lotte Non Life has no effect on the direction of Daewoo SBI i.e., Daewoo SBI and Lotte Non go up and down completely randomly.
Pair Corralation between Daewoo SBI and Lotte Non
Assuming the 90 days trading horizon Daewoo SBI SPAC is expected to under-perform the Lotte Non. But the stock apears to be less risky and, when comparing its historical volatility, Daewoo SBI SPAC is 1.45 times less risky than Lotte Non. The stock trades about -0.28 of its potential returns per unit of risk. The Lotte Non Life Insurance is currently generating about -0.17 of returns per unit of risk over similar time horizon. If you would invest 227,500 in Lotte Non Life Insurance on August 31, 2024 and sell it today you would lose (22,500) from holding Lotte Non Life Insurance or give up 9.89% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Daewoo SBI SPAC vs. Lotte Non Life Insurance
Performance |
Timeline |
Daewoo SBI SPAC |
Lotte Non Life |
Daewoo SBI and Lotte Non Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daewoo SBI and Lotte Non
The main advantage of trading using opposite Daewoo SBI and Lotte Non positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daewoo SBI position performs unexpectedly, Lotte Non 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 Lotte Non will offset losses from the drop in Lotte Non's long position.Daewoo SBI vs. Korea Information Communications | Daewoo SBI vs. Air Busan Co | Daewoo SBI vs. Shinsegae Information Communication | Daewoo SBI vs. Cloud Air CoLtd |
Lotte Non vs. Taegu Broadcasting | Lotte Non vs. Nice Information Telecommunication | Lotte Non vs. Daishin Information Communications | Lotte Non vs. Nam Hwa Construction |
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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