Correlation Between LG Household and Insung Information
Can any of the company-specific risk be diversified away by investing in both LG Household and Insung Information 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 LG Household and Insung Information into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LG Household Healthcare and Insung Information Co, you can compare the effects of market volatilities on LG Household and Insung Information 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 LG Household with a short position of Insung Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of LG Household and Insung Information.
Diversification Opportunities for LG Household and Insung Information
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between 051905 and Insung is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding LG Household Healthcare and Insung Information Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Insung Information and LG Household 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 LG Household Healthcare are associated (or correlated) with Insung Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Insung Information has no effect on the direction of LG Household i.e., LG Household and Insung Information go up and down completely randomly.
Pair Corralation between LG Household and Insung Information
Assuming the 90 days trading horizon LG Household Healthcare is expected to under-perform the Insung Information. But the stock apears to be less risky and, when comparing its historical volatility, LG Household Healthcare is 2.73 times less risky than Insung Information. The stock trades about -0.02 of its potential returns per unit of risk. The Insung Information Co is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 278,296 in Insung Information Co on September 20, 2024 and sell it today you would lose (85,696) from holding Insung Information Co or give up 30.79% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
LG Household Healthcare vs. Insung Information Co
Performance |
Timeline |
LG Household Healthcare |
Insung Information |
LG Household and Insung Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LG Household and Insung Information
The main advantage of trading using opposite LG Household and Insung Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LG Household position performs unexpectedly, Insung Information 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 Insung Information will offset losses from the drop in Insung Information's long position.LG Household vs. Eagon Industrial Co | LG Household vs. Green Cross Medical | LG Household vs. Display Tech Co | LG Household vs. Kbi Metal Co |
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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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