Correlation Between Sejong Telecom and Jeju Semiconductor
Can any of the company-specific risk be diversified away by investing in both Sejong Telecom and Jeju Semiconductor 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 Sejong Telecom and Jeju Semiconductor into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sejong Telecom and Jeju Semiconductor Corp, you can compare the effects of market volatilities on Sejong Telecom and Jeju Semiconductor 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 Sejong Telecom with a short position of Jeju Semiconductor. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sejong Telecom and Jeju Semiconductor.
Diversification Opportunities for Sejong Telecom and Jeju Semiconductor
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Sejong and Jeju is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Sejong Telecom and Jeju Semiconductor Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jeju Semiconductor Corp and Sejong Telecom 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 Sejong Telecom are associated (or correlated) with Jeju Semiconductor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jeju Semiconductor Corp has no effect on the direction of Sejong Telecom i.e., Sejong Telecom and Jeju Semiconductor go up and down completely randomly.
Pair Corralation between Sejong Telecom and Jeju Semiconductor
Assuming the 90 days trading horizon Sejong Telecom is expected to under-perform the Jeju Semiconductor. But the stock apears to be less risky and, when comparing its historical volatility, Sejong Telecom is 2.01 times less risky than Jeju Semiconductor. The stock trades about -0.19 of its potential returns per unit of risk. The Jeju Semiconductor Corp is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 865,000 in Jeju Semiconductor Corp on October 1, 2024 and sell it today you would earn a total of 21,000 from holding Jeju Semiconductor Corp or generate 2.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Sejong Telecom vs. Jeju Semiconductor Corp
Performance |
Timeline |
Sejong Telecom |
Jeju Semiconductor Corp |
Sejong Telecom and Jeju Semiconductor Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sejong Telecom and Jeju Semiconductor
The main advantage of trading using opposite Sejong Telecom and Jeju Semiconductor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sejong Telecom position performs unexpectedly, Jeju Semiconductor 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 Semiconductor will offset losses from the drop in Jeju Semiconductor's long position.Sejong Telecom vs. Sam Chun Dang | Sejong Telecom vs. SAMRYOONG CoLtd | Sejong Telecom vs. BYON Co | Sejong Telecom vs. Sangsangin 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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