Correlation Between Kyung Chang and Samsung Card
Can any of the company-specific risk be diversified away by investing in both Kyung Chang 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 Kyung Chang and Samsung Card into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kyung Chang Industrial and Samsung Card Co, you can compare the effects of market volatilities on Kyung Chang 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 Kyung Chang with a short position of Samsung Card. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kyung Chang and Samsung Card.
Diversification Opportunities for Kyung Chang and Samsung Card
-0.07 | Correlation Coefficient |
Good diversification
The 3 months correlation between Kyung and Samsung is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding Kyung Chang Industrial and Samsung Card Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Card and Kyung Chang 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 Kyung Chang Industrial 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 Kyung Chang i.e., Kyung Chang and Samsung Card go up and down completely randomly.
Pair Corralation between Kyung Chang and Samsung Card
Assuming the 90 days trading horizon Kyung Chang Industrial is expected to generate 1.52 times more return on investment than Samsung Card. However, Kyung Chang is 1.52 times more volatile than Samsung Card Co. It trades about 0.4 of its potential returns per unit of risk. Samsung Card Co is currently generating about -0.06 per unit of risk. If you would invest 177,409 in Kyung Chang Industrial on October 9, 2024 and sell it today you would earn a total of 37,091 from holding Kyung Chang Industrial or generate 20.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Kyung Chang Industrial vs. Samsung Card Co
Performance |
Timeline |
Kyung Chang Industrial |
Samsung Card |
Kyung Chang and Samsung Card Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kyung Chang and Samsung Card
The main advantage of trading using opposite Kyung Chang and Samsung Card positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kyung Chang 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.Kyung Chang vs. NewFlex Technology Co | Kyung Chang vs. Nice Information Telecommunication | Kyung Chang vs. Digital Imaging Technology | Kyung Chang vs. Korea Information Communications |
Samsung Card vs. Kisan Telecom Co | Samsung Card vs. CJ Seafood Corp | Samsung Card vs. Samlip General Foods | Samsung Card vs. SK Telecom 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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