Correlation Between Dongbang Ship and BNK Financial
Can any of the company-specific risk be diversified away by investing in both Dongbang Ship 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 Dongbang Ship and BNK Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dongbang Ship Machinery and BNK Financial Group, you can compare the effects of market volatilities on Dongbang Ship 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 Dongbang Ship with a short position of BNK Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dongbang Ship and BNK Financial.
Diversification Opportunities for Dongbang Ship and BNK Financial
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Dongbang and BNK is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding Dongbang Ship Machinery 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 Dongbang Ship 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 Dongbang Ship Machinery 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 Dongbang Ship i.e., Dongbang Ship and BNK Financial go up and down completely randomly.
Pair Corralation between Dongbang Ship and BNK Financial
Assuming the 90 days trading horizon Dongbang Ship is expected to generate 4.32 times less return on investment than BNK Financial. In addition to that, Dongbang Ship is 1.55 times more volatile than BNK Financial Group. It trades about 0.06 of its total potential returns per unit of risk. BNK Financial Group is currently generating about 0.38 per unit of volatility. If you would invest 1,059,000 in BNK Financial Group on October 26, 2024 and sell it today you would earn a total of 132,000 from holding BNK Financial Group or generate 12.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dongbang Ship Machinery vs. BNK Financial Group
Performance |
Timeline |
Dongbang Ship Machinery |
BNK Financial Group |
Dongbang Ship and BNK Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dongbang Ship and BNK Financial
The main advantage of trading using opposite Dongbang Ship and BNK Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dongbang Ship 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.Dongbang Ship vs. Chorokbaem Healthcare Co | Dongbang Ship vs. SeAH Besteel Corp | Dongbang Ship vs. Fine Besteel Co | Dongbang Ship vs. Korea Steel Co |
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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 Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
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