Correlation Between Hankukpackage and Shinhan Inverse
Can any of the company-specific risk be diversified away by investing in both Hankukpackage and Shinhan Inverse 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 Hankukpackage and Shinhan Inverse into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hankukpackage Co and Shinhan Inverse WTI, you can compare the effects of market volatilities on Hankukpackage and Shinhan Inverse 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 Hankukpackage with a short position of Shinhan Inverse. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hankukpackage and Shinhan Inverse.
Diversification Opportunities for Hankukpackage and Shinhan Inverse
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Hankukpackage and Shinhan is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding Hankukpackage Co and Shinhan Inverse WTI in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shinhan Inverse WTI and Hankukpackage 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 Hankukpackage Co are associated (or correlated) with Shinhan Inverse. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shinhan Inverse WTI has no effect on the direction of Hankukpackage i.e., Hankukpackage and Shinhan Inverse go up and down completely randomly.
Pair Corralation between Hankukpackage and Shinhan Inverse
Assuming the 90 days trading horizon Hankukpackage Co is expected to generate 1.78 times more return on investment than Shinhan Inverse. However, Hankukpackage is 1.78 times more volatile than Shinhan Inverse WTI. It trades about -0.03 of its potential returns per unit of risk. Shinhan Inverse WTI is currently generating about -0.17 per unit of risk. If you would invest 179,976 in Hankukpackage Co on October 30, 2024 and sell it today you would lose (7,976) from holding Hankukpackage Co or give up 4.43% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Hankukpackage Co vs. Shinhan Inverse WTI
Performance |
| Timeline |
| Hankukpackage |
| Shinhan Inverse WTI |
Hankukpackage and Shinhan Inverse Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Hankukpackage and Shinhan Inverse
The main advantage of trading using opposite Hankukpackage and Shinhan Inverse positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hankukpackage position performs unexpectedly, Shinhan Inverse 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 Shinhan Inverse will offset losses from the drop in Shinhan Inverse's long position.| Hankukpackage vs. SeAH Besteel Corp | Hankukpackage vs. Hyundai Engineering Plastics | Hankukpackage vs. Daehan Steel | Hankukpackage vs. Daejoo Electronic Materials |
| Shinhan Inverse vs. Dongbang Ship Machinery | Shinhan Inverse vs. Samick Musical Instruments | Shinhan Inverse vs. Aprogen Healthcare Games | Shinhan Inverse vs. Kyeryong Construction Industrial |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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