Correlation Between Sejong Telecom and Seoul Electronics
Can any of the company-specific risk be diversified away by investing in both Sejong Telecom and Seoul Electronics 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 Seoul Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sejong Telecom and Seoul Electronics Telecom, you can compare the effects of market volatilities on Sejong Telecom and Seoul Electronics 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 Seoul Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sejong Telecom and Seoul Electronics.
Diversification Opportunities for Sejong Telecom and Seoul Electronics
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Sejong and Seoul is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Sejong Telecom and Seoul Electronics Telecom in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Seoul Electronics Telecom 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 Seoul Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Seoul Electronics Telecom has no effect on the direction of Sejong Telecom i.e., Sejong Telecom and Seoul Electronics go up and down completely randomly.
Pair Corralation between Sejong Telecom and Seoul Electronics
Assuming the 90 days trading horizon Sejong Telecom is expected to under-perform the Seoul Electronics. But the stock apears to be less risky and, when comparing its historical volatility, Sejong Telecom is 1.48 times less risky than Seoul Electronics. The stock trades about -0.32 of its potential returns per unit of risk. The Seoul Electronics Telecom is currently generating about -0.19 of returns per unit of risk over similar time horizon. If you would invest 28,700 in Seoul Electronics Telecom on September 4, 2024 and sell it today you would lose (4,600) from holding Seoul Electronics Telecom or give up 16.03% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Sejong Telecom vs. Seoul Electronics Telecom
Performance |
Timeline |
Sejong Telecom |
Seoul Electronics Telecom |
Sejong Telecom and Seoul Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sejong Telecom and Seoul Electronics
The main advantage of trading using opposite Sejong Telecom and Seoul Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sejong Telecom position performs unexpectedly, Seoul Electronics 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 Seoul Electronics will offset losses from the drop in Seoul Electronics' long position.Sejong Telecom vs. Korea New Network | Sejong Telecom vs. ICD Co | Sejong Telecom vs. DYPNF CoLtd | Sejong Telecom vs. Busan Industrial 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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