Correlation Between Ssangyong Information and LG Electronics
Can any of the company-specific risk be diversified away by investing in both Ssangyong Information and LG Electronics 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 Ssangyong Information and LG Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ssangyong Information Communication and LG Electronics, you can compare the effects of market volatilities on Ssangyong Information and LG Electronics 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 Ssangyong Information with a short position of LG Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ssangyong Information and LG Electronics.
Diversification Opportunities for Ssangyong Information and LG Electronics
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between Ssangyong and 066570 is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding Ssangyong Information Communic and LG Electronics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LG Electronics and Ssangyong Information 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 Ssangyong Information Communication are associated (or correlated) with LG Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LG Electronics has no effect on the direction of Ssangyong Information i.e., Ssangyong Information and LG Electronics go up and down completely randomly.
Pair Corralation between Ssangyong Information and LG Electronics
Assuming the 90 days trading horizon Ssangyong Information Communication is expected to generate 0.86 times more return on investment than LG Electronics. However, Ssangyong Information Communication is 1.17 times less risky than LG Electronics. It trades about 0.05 of its potential returns per unit of risk. LG Electronics is currently generating about -0.17 per unit of risk. If you would invest 61,600 in Ssangyong Information Communication on October 6, 2024 and sell it today you would earn a total of 2,700 from holding Ssangyong Information Communication or generate 4.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ssangyong Information Communic vs. LG Electronics
Performance |
Timeline |
Ssangyong Information |
LG Electronics |
Ssangyong Information and LG Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ssangyong Information and LG Electronics
The main advantage of trading using opposite Ssangyong Information and LG Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ssangyong Information position performs unexpectedly, LG Electronics 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 Electronics will offset losses from the drop in LG Electronics' long position.Ssangyong Information vs. PJ Metal Co | Ssangyong Information vs. Shinhan Inverse Copper | Ssangyong Information vs. Hanjoo Light Metal | Ssangyong Information vs. Handok Clean Tech |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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