Correlation Between Lotte Non and BNK Financial
Can any of the company-specific risk be diversified away by investing in both Lotte Non and BNK Financial 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 Lotte Non and BNK Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lotte Non Life Insurance and BNK Financial Group, you can compare the effects of market volatilities on Lotte Non and BNK Financial 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 Lotte Non with a short position of BNK Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Non and BNK Financial.
Diversification Opportunities for Lotte Non and BNK Financial
-0.59 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Lotte and BNK is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Non Life Insurance and BNK Financial Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BNK Financial Group and Lotte Non 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 Lotte Non Life Insurance are associated (or correlated) with BNK Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BNK Financial Group has no effect on the direction of Lotte Non i.e., Lotte Non and BNK Financial go up and down completely randomly.
Pair Corralation between Lotte Non and BNK Financial
Assuming the 90 days trading horizon Lotte Non Life Insurance is expected to under-perform the BNK Financial. But the stock apears to be less risky and, when comparing its historical volatility, Lotte Non Life Insurance is 1.39 times less risky than BNK Financial. The stock trades about 0.0 of its potential returns per unit of risk. The BNK Financial Group is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 1,107,000 in BNK Financial Group on October 17, 2024 and sell it today you would earn a total of 52,000 from holding BNK Financial Group or generate 4.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Lotte Non Life Insurance vs. BNK Financial Group
Performance |
Timeline |
Lotte Non Life |
BNK Financial Group |
Lotte Non and BNK Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lotte Non and BNK Financial
The main advantage of trading using opposite Lotte Non and BNK Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Non position performs unexpectedly, BNK Financial 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 BNK Financial will offset losses from the drop in BNK Financial's long position.Lotte Non vs. Miwon Chemicals Co | Lotte Non vs. KB Financial Group | Lotte Non vs. Kukdong Oil Chemicals | Lotte Non vs. BNK Financial Group |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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