Correlation Between Sejong Telecom and Koryo Credit
Can any of the company-specific risk be diversified away by investing in both Sejong Telecom and Koryo Credit 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 Koryo Credit into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sejong Telecom and Koryo Credit Information, you can compare the effects of market volatilities on Sejong Telecom and Koryo Credit 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 Koryo Credit. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sejong Telecom and Koryo Credit.
Diversification Opportunities for Sejong Telecom and Koryo Credit
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Sejong and Koryo is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding Sejong Telecom and Koryo Credit Information in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Koryo Credit Information 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 Koryo Credit. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Koryo Credit Information has no effect on the direction of Sejong Telecom i.e., Sejong Telecom and Koryo Credit go up and down completely randomly.
Pair Corralation between Sejong Telecom and Koryo Credit
Assuming the 90 days trading horizon Sejong Telecom is expected to under-perform the Koryo Credit. In addition to that, Sejong Telecom is 1.25 times more volatile than Koryo Credit Information. It trades about -0.36 of its total potential returns per unit of risk. Koryo Credit Information is currently generating about 0.02 per unit of volatility. If you would invest 1,022,000 in Koryo Credit Information on September 23, 2024 and sell it today you would earn a total of 11,000 from holding Koryo Credit Information or generate 1.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sejong Telecom vs. Koryo Credit Information
Performance |
Timeline |
Sejong Telecom |
Koryo Credit Information |
Sejong Telecom and Koryo Credit Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sejong Telecom and Koryo Credit
The main advantage of trading using opposite Sejong Telecom and Koryo Credit positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sejong Telecom position performs unexpectedly, Koryo Credit 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 Koryo Credit will offset losses from the drop in Koryo Credit's long position.Sejong Telecom vs. Sam Chun Dang | Sejong Telecom vs. SAMRYOONG CoLtd | Sejong Telecom vs. BYON Co | Sejong Telecom vs. Sangsangin Co |
Koryo Credit vs. Busan Industrial Co | Koryo Credit vs. Busan Ind | Koryo Credit vs. Mirae Asset Daewoo | Koryo Credit vs. Shinhan WTI Futures |
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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
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