Correlation Between LG Chemicals and Organic Tea
Can any of the company-specific risk be diversified away by investing in both LG Chemicals and Organic Tea 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 Chemicals and Organic Tea into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LG Chemicals and Organic Tea Cosmetics, you can compare the effects of market volatilities on LG Chemicals and Organic Tea 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 Chemicals with a short position of Organic Tea. Check out your portfolio center. Please also check ongoing floating volatility patterns of LG Chemicals and Organic Tea.
Diversification Opportunities for LG Chemicals and Organic Tea
-0.67 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between 051910 and Organic is -0.67. Overlapping area represents the amount of risk that can be diversified away by holding LG Chemicals and Organic Tea Cosmetics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Organic Tea Cosmetics and LG Chemicals 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 Chemicals are associated (or correlated) with Organic Tea. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Organic Tea Cosmetics has no effect on the direction of LG Chemicals i.e., LG Chemicals and Organic Tea go up and down completely randomly.
Pair Corralation between LG Chemicals and Organic Tea
Assuming the 90 days trading horizon LG Chemicals is expected to under-perform the Organic Tea. But the stock apears to be less risky and, when comparing its historical volatility, LG Chemicals is 42.68 times less risky than Organic Tea. The stock trades about -0.2 of its potential returns per unit of risk. The Organic Tea Cosmetics is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 9,000 in Organic Tea Cosmetics on September 27, 2024 and sell it today you would earn a total of 40,800 from holding Organic Tea Cosmetics or generate 453.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
LG Chemicals vs. Organic Tea Cosmetics
Performance |
Timeline |
LG Chemicals |
Organic Tea Cosmetics |
LG Chemicals and Organic Tea Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LG Chemicals and Organic Tea
The main advantage of trading using opposite LG Chemicals and Organic Tea positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LG Chemicals position performs unexpectedly, Organic Tea 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 Organic Tea will offset losses from the drop in Organic Tea's long position.LG Chemicals vs. POSCO Holdings | LG Chemicals vs. Hanwha Solutions | LG Chemicals vs. Lotte Chemical Corp | LG Chemicals vs. Hyundai Steel |
Organic Tea vs. Samsung Electronics Co | Organic Tea vs. Samsung Electronics Co | Organic Tea vs. LG Energy Solution | Organic Tea 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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