Correlation Between Incar Financial and LG Household
Can any of the company-specific risk be diversified away by investing in both Incar Financial and LG Household 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 Incar Financial and LG Household into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Incar Financial Service and LG Household Healthcare, you can compare the effects of market volatilities on Incar Financial and LG Household 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 Incar Financial with a short position of LG Household. Check out your portfolio center. Please also check ongoing floating volatility patterns of Incar Financial and LG Household.
Diversification Opportunities for Incar Financial and LG Household
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Incar and 051900 is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding Incar Financial Service and LG Household Healthcare in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LG Household Healthcare and Incar 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 Incar Financial Service are associated (or correlated) with LG Household. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LG Household Healthcare has no effect on the direction of Incar Financial i.e., Incar Financial and LG Household go up and down completely randomly.
Pair Corralation between Incar Financial and LG Household
Assuming the 90 days trading horizon Incar Financial Service is expected to generate 2.56 times more return on investment than LG Household. However, Incar Financial is 2.56 times more volatile than LG Household Healthcare. It trades about 0.18 of its potential returns per unit of risk. LG Household Healthcare is currently generating about -0.19 per unit of risk. If you would invest 551,000 in Incar Financial Service on October 26, 2024 and sell it today you would earn a total of 47,000 from holding Incar Financial Service or generate 8.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.0% |
Values | Daily Returns |
Incar Financial Service vs. LG Household Healthcare
Performance |
Timeline |
Incar Financial Service |
LG Household Healthcare |
Incar Financial and LG Household Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Incar Financial and LG Household
The main advantage of trading using opposite Incar Financial and LG Household positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Incar Financial position performs unexpectedly, LG Household 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 Household will offset losses from the drop in LG Household's long position.Incar Financial vs. Busan Industrial Co | Incar Financial vs. Busan Ind | Incar Financial vs. RPBio Inc | Incar Financial vs. Finebesteel |
LG Household vs. Nice Information Telecommunication | LG Household vs. Haitai Confectionery Foods | LG Household vs. Moadata Co | LG Household vs. DataSolution |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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