Correlation Between Han Kook and Lotte Data
Can any of the company-specific risk be diversified away by investing in both Han Kook and Lotte Data 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 Han Kook and Lotte Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Han Kook Steel and Lotte Data Communication, you can compare the effects of market volatilities on Han Kook and Lotte Data 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 Han Kook with a short position of Lotte Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Han Kook and Lotte Data.
Diversification Opportunities for Han Kook and Lotte Data
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Han and Lotte is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Han Kook Steel and Lotte Data Communication in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lotte Data Communication and Han Kook 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 Han Kook Steel are associated (or correlated) with Lotte Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lotte Data Communication has no effect on the direction of Han Kook i.e., Han Kook and Lotte Data go up and down completely randomly.
Pair Corralation between Han Kook and Lotte Data
Assuming the 90 days trading horizon Han Kook Steel is expected to under-perform the Lotte Data. In addition to that, Han Kook is 1.13 times more volatile than Lotte Data Communication. It trades about -0.16 of its total potential returns per unit of risk. Lotte Data Communication is currently generating about 0.01 per unit of volatility. If you would invest 1,990,000 in Lotte Data Communication on October 30, 2024 and sell it today you would lose (8,000) from holding Lotte Data Communication or give up 0.4% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Han Kook Steel vs. Lotte Data Communication
Performance |
| Timeline |
| Han Kook Steel |
| Lotte Data Communication |
Han Kook and Lotte Data Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Han Kook and Lotte Data
The main advantage of trading using opposite Han Kook and Lotte Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Han Kook position performs unexpectedly, Lotte Data 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 Lotte Data will offset losses from the drop in Lotte Data's long position.| Han Kook vs. V One Tech Co | Han Kook vs. Hanshin Construction Co | Han Kook vs. Dongkuk Structures Construction | Han Kook vs. Woorim Machinery Co |
| Lotte Data vs. Daiyang Metal Co | Lotte Data vs. CKH Food Health | Lotte Data vs. Seoyon Topmetal Co | Lotte Data vs. Korea Industrial 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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