Correlation Between Hana Financial and LG Electronics
Can any of the company-specific risk be diversified away by investing in both Hana Financial and LG Electronics 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 Hana Financial and LG Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hana Financial and LG Electronics, you can compare the effects of market volatilities on Hana Financial and LG Electronics 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 Hana Financial with a short position of LG Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hana Financial and LG Electronics.
Diversification Opportunities for Hana Financial and LG Electronics
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Hana and 066570 is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Hana Financial and LG Electronics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LG Electronics and Hana Financial 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 Hana Financial are associated (or correlated) with LG Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LG Electronics has no effect on the direction of Hana Financial i.e., Hana Financial and LG Electronics go up and down completely randomly.
Pair Corralation between Hana Financial and LG Electronics
Assuming the 90 days trading horizon Hana Financial is expected to generate 1.32 times more return on investment than LG Electronics. However, Hana Financial is 1.32 times more volatile than LG Electronics. It trades about -0.01 of its potential returns per unit of risk. LG Electronics is currently generating about -0.06 per unit of risk. If you would invest 5,910,000 in Hana Financial on October 16, 2024 and sell it today you would lose (110,000) from holding Hana Financial or give up 1.86% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Hana Financial vs. LG Electronics
Performance |
| Timeline |
| Hana Financial |
| LG Electronics |
Hana Financial and LG Electronics Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Hana Financial and LG Electronics
The main advantage of trading using opposite Hana Financial and LG Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hana Financial position performs unexpectedly, LG Electronics 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 LG Electronics will offset losses from the drop in LG Electronics' long position.| Hana Financial vs. Daewon Media Co | Hana Financial vs. T3 Entertainment Co | Hana Financial vs. Lotte Data Communication | Hana Financial vs. GS Retail Co |
| LG Electronics vs. Shinhan Inverse Silver | LG Electronics vs. Hana Financial | LG Electronics vs. Shinhan Financial Group | LG Electronics vs. Digital Power Communications |
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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