Correlation Between Sejong Telecom and Seoul Food
Can any of the company-specific risk be diversified away by investing in both Sejong Telecom and Seoul Food 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 Food 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 Food Industrial, you can compare the effects of market volatilities on Sejong Telecom and Seoul Food 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 Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sejong Telecom and Seoul Food.
Diversification Opportunities for Sejong Telecom and Seoul Food
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Sejong and Seoul is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Sejong Telecom and Seoul Food Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Seoul Food Industrial 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 Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Seoul Food Industrial has no effect on the direction of Sejong Telecom i.e., Sejong Telecom and Seoul Food go up and down completely randomly.
Pair Corralation between Sejong Telecom and Seoul Food
Assuming the 90 days trading horizon Sejong Telecom is expected to generate 1.56 times less return on investment than Seoul Food. In addition to that, Sejong Telecom is 1.31 times more volatile than Seoul Food Industrial. It trades about 0.14 of its total potential returns per unit of risk. Seoul Food Industrial is currently generating about 0.28 per unit of volatility. If you would invest 14,000 in Seoul Food Industrial on October 8, 2024 and sell it today you would earn a total of 1,100 from holding Seoul Food Industrial or generate 7.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Sejong Telecom vs. Seoul Food Industrial
Performance |
Timeline |
Sejong Telecom |
Seoul Food Industrial |
Sejong Telecom and Seoul Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sejong Telecom and Seoul Food
The main advantage of trading using opposite Sejong Telecom and Seoul Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sejong Telecom position performs unexpectedly, Seoul Food 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 Food will offset losses from the drop in Seoul Food's long position.Sejong Telecom vs. Sam Chun Dang | Sejong Telecom vs. SAMRYOONG CoLtd | Sejong Telecom vs. BYON Co | Sejong Telecom vs. Sangsangin Co |
Seoul Food vs. AptaBio Therapeutics | Seoul Food vs. Daewoo SBI SPAC | Seoul Food vs. Dream Security co | Seoul Food 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 Transaction History module to view history of all your transactions and understand their impact on performance.
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