Correlation Between Daedong Metals and LG Innotek
Can any of the company-specific risk be diversified away by investing in both Daedong Metals and LG Innotek 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 Daedong Metals and LG Innotek into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daedong Metals Co and LG Innotek Co, you can compare the effects of market volatilities on Daedong Metals and LG Innotek 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 Daedong Metals with a short position of LG Innotek. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daedong Metals and LG Innotek.
Diversification Opportunities for Daedong Metals and LG Innotek
0.01 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Daedong and 011070 is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding Daedong Metals Co and LG Innotek Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LG Innotek and Daedong Metals 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 Daedong Metals Co are associated (or correlated) with LG Innotek. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LG Innotek has no effect on the direction of Daedong Metals i.e., Daedong Metals and LG Innotek go up and down completely randomly.
Pair Corralation between Daedong Metals and LG Innotek
Assuming the 90 days trading horizon Daedong Metals Co is expected to generate 4.38 times more return on investment than LG Innotek. However, Daedong Metals is 4.38 times more volatile than LG Innotek Co. It trades about 0.13 of its potential returns per unit of risk. LG Innotek Co is currently generating about -0.19 per unit of risk. If you would invest 632,000 in Daedong Metals Co on September 3, 2024 and sell it today you would earn a total of 110,000 from holding Daedong Metals Co or generate 17.41% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Daedong Metals Co vs. LG Innotek Co
Performance |
| Timeline |
| Daedong Metals |
| LG Innotek |
Daedong Metals and LG Innotek Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Daedong Metals and LG Innotek
The main advantage of trading using opposite Daedong Metals and LG Innotek positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daedong Metals position performs unexpectedly, LG Innotek 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 Innotek will offset losses from the drop in LG Innotek's long position.| Daedong Metals vs. Ecocab Co | Daedong Metals vs. Daedong Gear Co | Daedong Metals vs. Hwashin Precision Engineering | Daedong Metals vs. YOUNGHWA TECH Co |
| LG Innotek vs. Hyundai Home Shopping | LG Innotek vs. LG Display Co | LG Innotek vs. Cuckoo Homesys Co | LG Innotek vs. LG Household Healthcare |
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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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