Correlation Between Koryo Credit and Samsung Card
Can any of the company-specific risk be diversified away by investing in both Koryo Credit and Samsung Card 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 Koryo Credit and Samsung Card into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Koryo Credit Information and Samsung Card Co, you can compare the effects of market volatilities on Koryo Credit and Samsung Card 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 Koryo Credit with a short position of Samsung Card. Check out your portfolio center. Please also check ongoing floating volatility patterns of Koryo Credit and Samsung Card.
Diversification Opportunities for Koryo Credit and Samsung Card
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between Koryo and Samsung is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding Koryo Credit Information and Samsung Card Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Card and Koryo Credit 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 Koryo Credit Information are associated (or correlated) with Samsung Card. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung Card has no effect on the direction of Koryo Credit i.e., Koryo Credit and Samsung Card go up and down completely randomly.
Pair Corralation between Koryo Credit and Samsung Card
Assuming the 90 days trading horizon Koryo Credit Information is expected to under-perform the Samsung Card. But the stock apears to be less risky and, when comparing its historical volatility, Koryo Credit Information is 2.1 times less risky than Samsung Card. The stock trades about -0.13 of its potential returns per unit of risk. The Samsung Card Co is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 3,995,000 in Samsung Card Co on October 21, 2024 and sell it today you would earn a total of 60,000 from holding Samsung Card Co or generate 1.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Koryo Credit Information vs. Samsung Card Co
Performance |
Timeline |
Koryo Credit Information |
Samsung Card |
Koryo Credit and Samsung Card Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Koryo Credit and Samsung Card
The main advantage of trading using opposite Koryo Credit and Samsung Card positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Koryo Credit position performs unexpectedly, Samsung Card 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 Samsung Card will offset losses from the drop in Samsung Card's long position.Koryo Credit vs. Daou Data Corp | Koryo Credit vs. Busan Industrial Co | Koryo Credit vs. Busan Ind | Koryo Credit vs. Mirae Asset Daewoo |
Samsung Card vs. Sempio Foods Co | Samsung Card vs. Hyundai Home Shopping | Samsung Card vs. iNtRON Biotechnology | Samsung Card vs. Korean Drug Co |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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