Correlation Between Sungchang Autotech and LB Investment
Can any of the company-specific risk be diversified away by investing in both Sungchang Autotech and LB Investment 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 Sungchang Autotech and LB Investment into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sungchang Autotech Co and LB Investment, you can compare the effects of market volatilities on Sungchang Autotech and LB Investment 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 Sungchang Autotech with a short position of LB Investment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sungchang Autotech and LB Investment.
Diversification Opportunities for Sungchang Autotech and LB Investment
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Sungchang and 309960 is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Sungchang Autotech Co and LB Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LB Investment and Sungchang Autotech 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 Sungchang Autotech Co are associated (or correlated) with LB Investment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LB Investment has no effect on the direction of Sungchang Autotech i.e., Sungchang Autotech and LB Investment go up and down completely randomly.
Pair Corralation between Sungchang Autotech and LB Investment
Assuming the 90 days trading horizon Sungchang Autotech Co is expected to under-perform the LB Investment. But the stock apears to be less risky and, when comparing its historical volatility, Sungchang Autotech Co is 1.81 times less risky than LB Investment. The stock trades about -0.05 of its potential returns per unit of risk. The LB Investment is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest 443,924 in LB Investment on September 23, 2024 and sell it today you would lose (128,424) from holding LB Investment or give up 28.93% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Sungchang Autotech Co vs. LB Investment
Performance |
Timeline |
Sungchang Autotech |
LB Investment |
Sungchang Autotech and LB Investment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sungchang Autotech and LB Investment
The main advantage of trading using opposite Sungchang Autotech and LB Investment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sungchang Autotech position performs unexpectedly, LB Investment 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 LB Investment will offset losses from the drop in LB Investment's long position.Sungchang Autotech vs. LB Investment | Sungchang Autotech vs. DB Financial Investment | Sungchang Autotech vs. E Investment Development | Sungchang Autotech vs. Grand Korea Leisure |
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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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