Correlation Between Jeju Semiconductor and Jeju Bank
Can any of the company-specific risk be diversified away by investing in both Jeju Semiconductor 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 Jeju Semiconductor and Jeju Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jeju Semiconductor Corp and Jeju Bank, you can compare the effects of market volatilities on Jeju Semiconductor 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 Jeju Semiconductor with a short position of Jeju Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jeju Semiconductor and Jeju Bank.
Diversification Opportunities for Jeju Semiconductor and Jeju Bank
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Jeju and Jeju is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Jeju Semiconductor Corp and Jeju Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jeju Bank and Jeju Semiconductor 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 Jeju Semiconductor Corp 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 Jeju Semiconductor i.e., Jeju Semiconductor and Jeju Bank go up and down completely randomly.
Pair Corralation between Jeju Semiconductor and Jeju Bank
Assuming the 90 days trading horizon Jeju Semiconductor Corp is expected to generate 0.98 times more return on investment than Jeju Bank. However, Jeju Semiconductor Corp is 1.02 times less risky than Jeju Bank. It trades about 0.06 of its potential returns per unit of risk. Jeju Bank is currently generating about 0.01 per unit of risk. If you would invest 393,000 in Jeju Semiconductor Corp on October 4, 2024 and sell it today you would earn a total of 499,000 from holding Jeju Semiconductor Corp or generate 126.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Jeju Semiconductor Corp vs. Jeju Bank
Performance |
Timeline |
Jeju Semiconductor Corp |
Jeju Bank |
Jeju Semiconductor and Jeju Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jeju Semiconductor and Jeju Bank
The main advantage of trading using opposite Jeju Semiconductor and Jeju Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jeju Semiconductor 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.Jeju Semiconductor vs. AptaBio Therapeutics | Jeju Semiconductor vs. Daewoo SBI SPAC | Jeju Semiconductor vs. Dream Security co | Jeju Semiconductor vs. Microfriend |
Jeju Bank vs. AptaBio Therapeutics | Jeju Bank vs. Daewoo SBI SPAC | Jeju Bank vs. Dream Security co | Jeju Bank vs. Microfriend |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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