Correlation Between Hanjoo Light and LB Investment
Can any of the company-specific risk be diversified away by investing in both Hanjoo Light and LB Investment 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 Hanjoo Light and LB Investment into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hanjoo Light Metal and LB Investment, you can compare the effects of market volatilities on Hanjoo Light and LB Investment 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 Hanjoo Light with a short position of LB Investment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hanjoo Light and LB Investment.
Diversification Opportunities for Hanjoo Light and LB Investment
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Hanjoo and 309960 is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Hanjoo Light Metal and LB Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LB Investment and Hanjoo Light 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 Hanjoo Light Metal are associated (or correlated) with LB Investment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LB Investment has no effect on the direction of Hanjoo Light i.e., Hanjoo Light and LB Investment go up and down completely randomly.
Pair Corralation between Hanjoo Light and LB Investment
Assuming the 90 days trading horizon Hanjoo Light Metal is expected to under-perform the LB Investment. In addition to that, Hanjoo Light is 2.22 times more volatile than LB Investment. It trades about -0.33 of its total potential returns per unit of risk. LB Investment is currently generating about -0.13 per unit of volatility. If you would invest 387,000 in LB Investment on August 29, 2024 and sell it today you would lose (11,000) from holding LB Investment or give up 2.84% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Hanjoo Light Metal vs. LB Investment
Performance |
| Timeline |
| Hanjoo Light Metal |
| LB Investment |
Hanjoo Light and LB Investment Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Hanjoo Light and LB Investment
The main advantage of trading using opposite Hanjoo Light and LB Investment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hanjoo Light position performs unexpectedly, LB Investment 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 LB Investment will offset losses from the drop in LB Investment's long position.| Hanjoo Light vs. Samsung Electronics Co | Hanjoo Light vs. Samsung Electronics Co | Hanjoo Light vs. LG Energy Solution | Hanjoo Light vs. SK Hynix |
| LB Investment vs. Samsung Electronics Co | LB Investment vs. Samsung Electronics Co | LB Investment vs. LG Energy Solution | LB Investment vs. SK Hynix |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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