Correlation Between Tae Kyung and Hankukpackage
Can any of the company-specific risk be diversified away by investing in both Tae Kyung and Hankukpackage 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 Tae Kyung and Hankukpackage into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tae Kyung Chemical and Hankukpackage Co, you can compare the effects of market volatilities on Tae Kyung and Hankukpackage 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 Tae Kyung with a short position of Hankukpackage. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tae Kyung and Hankukpackage.
Diversification Opportunities for Tae Kyung and Hankukpackage
-0.03 | Correlation Coefficient |
Good diversification
The 3 months correlation between Tae and Hankukpackage is -0.03. Overlapping area represents the amount of risk that can be diversified away by holding Tae Kyung Chemical and Hankukpackage Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hankukpackage and Tae Kyung 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 Tae Kyung Chemical are associated (or correlated) with Hankukpackage. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hankukpackage has no effect on the direction of Tae Kyung i.e., Tae Kyung and Hankukpackage go up and down completely randomly.
Pair Corralation between Tae Kyung and Hankukpackage
Assuming the 90 days trading horizon Tae Kyung Chemical is expected to generate 0.79 times more return on investment than Hankukpackage. However, Tae Kyung Chemical is 1.26 times less risky than Hankukpackage. It trades about 0.06 of its potential returns per unit of risk. Hankukpackage Co is currently generating about -0.08 per unit of risk. If you would invest 1,075,671 in Tae Kyung Chemical on October 26, 2024 and sell it today you would earn a total of 56,329 from holding Tae Kyung Chemical or generate 5.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Tae Kyung Chemical vs. Hankukpackage Co
Performance |
Timeline |
Tae Kyung Chemical |
Hankukpackage |
Tae Kyung and Hankukpackage Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tae Kyung and Hankukpackage
The main advantage of trading using opposite Tae Kyung and Hankukpackage positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tae Kyung position performs unexpectedly, Hankukpackage 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 Hankukpackage will offset losses from the drop in Hankukpackage's long position.Tae Kyung vs. Sung Bo Chemicals | Tae Kyung vs. Nice Information Telecommunication | Tae Kyung vs. Nable Communications | Tae Kyung vs. Kukdong Oil Chemicals |
Hankukpackage vs. Stic Investments | Hankukpackage vs. Infinitt Healthcare Co | Hankukpackage vs. TS Investment Corp | Hankukpackage vs. Coloray International Investment |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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