Correlation Between Daesung Hi-Tech and Jeju Bank
Can any of the company-specific risk be diversified away by investing in both Daesung Hi-Tech and Jeju Bank 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 Daesung Hi-Tech and Jeju Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daesung Hi Tech Co and Jeju Bank, you can compare the effects of market volatilities on Daesung Hi-Tech and Jeju Bank 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 Daesung Hi-Tech with a short position of Jeju Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daesung Hi-Tech and Jeju Bank.
Diversification Opportunities for Daesung Hi-Tech and Jeju Bank
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Daesung and Jeju is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Daesung Hi Tech Co and Jeju Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jeju Bank and Daesung Hi-Tech 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 Daesung Hi Tech Co are associated (or correlated) with Jeju Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jeju Bank has no effect on the direction of Daesung Hi-Tech i.e., Daesung Hi-Tech and Jeju Bank go up and down completely randomly.
Pair Corralation between Daesung Hi-Tech and Jeju Bank
Assuming the 90 days trading horizon Daesung Hi Tech Co is expected to generate 1.43 times more return on investment than Jeju Bank. However, Daesung Hi-Tech is 1.43 times more volatile than Jeju Bank. It trades about -0.07 of its potential returns per unit of risk. Jeju Bank is currently generating about -0.1 per unit of risk. If you would invest 403,500 in Daesung Hi Tech Co on September 14, 2024 and sell it today you would lose (53,500) from holding Daesung Hi Tech Co or give up 13.26% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Daesung Hi Tech Co vs. Jeju Bank
Performance |
Timeline |
Daesung Hi Tech |
Jeju Bank |
Daesung Hi-Tech and Jeju Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daesung Hi-Tech and Jeju Bank
The main advantage of trading using opposite Daesung Hi-Tech and Jeju Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daesung Hi-Tech position performs unexpectedly, Jeju Bank 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 Jeju Bank will offset losses from the drop in Jeju Bank's long position.Daesung Hi-Tech vs. Samsung Electronics Co | Daesung Hi-Tech vs. Samsung Electronics Co | Daesung Hi-Tech vs. LG Energy Solution | Daesung Hi-Tech vs. SK Hynix |
Jeju Bank vs. Samsung Electronics Co | Jeju Bank vs. Samsung Electronics Co | Jeju Bank vs. SK Hynix | Jeju Bank vs. POSCO Holdings |
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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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