Correlation Between LG Electronics and Citic Telecom
Can any of the company-specific risk be diversified away by investing in both LG Electronics and Citic Telecom 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 Electronics and Citic Telecom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LG Electronics and Citic Telecom International, you can compare the effects of market volatilities on LG Electronics and Citic Telecom 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 Electronics with a short position of Citic Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of LG Electronics and Citic Telecom.
Diversification Opportunities for LG Electronics and Citic Telecom
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between LGLG and Citic is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding LG Electronics and Citic Telecom International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Citic Telecom Intern and LG Electronics 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 Electronics are associated (or correlated) with Citic Telecom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Citic Telecom Intern has no effect on the direction of LG Electronics i.e., LG Electronics and Citic Telecom go up and down completely randomly.
Pair Corralation between LG Electronics and Citic Telecom
Assuming the 90 days trading horizon LG Electronics is expected to under-perform the Citic Telecom. But the stock apears to be less risky and, when comparing its historical volatility, LG Electronics is 3.46 times less risky than Citic Telecom. The stock trades about -0.01 of its potential returns per unit of risk. The Citic Telecom International is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 4.04 in Citic Telecom International on October 13, 2024 and sell it today you would earn a total of 22.96 from holding Citic Telecom International or generate 568.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
LG Electronics vs. Citic Telecom International
Performance |
Timeline |
LG Electronics |
Citic Telecom Intern |
LG Electronics and Citic Telecom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LG Electronics and Citic Telecom
The main advantage of trading using opposite LG Electronics and Citic Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LG Electronics position performs unexpectedly, Citic Telecom 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 Citic Telecom will offset losses from the drop in Citic Telecom's long position.LG Electronics vs. Insurance Australia Group | LG Electronics vs. WIMFARM SA EO | LG Electronics vs. Tokyu Construction Co | LG Electronics vs. VARIOUS EATERIES LS |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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