Correlation Between CG Hi and KCC Engineering
Can any of the company-specific risk be diversified away by investing in both CG Hi and KCC Engineering 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 CG Hi and KCC Engineering into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CG Hi Tech and KCC Engineering Construction, you can compare the effects of market volatilities on CG Hi and KCC Engineering 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 CG Hi with a short position of KCC Engineering. Check out your portfolio center. Please also check ongoing floating volatility patterns of CG Hi and KCC Engineering.
Diversification Opportunities for CG Hi and KCC Engineering
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between 264660 and KCC is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding CG Hi Tech and KCC Engineering Construction in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KCC Engineering Cons and CG Hi 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 CG Hi Tech are associated (or correlated) with KCC Engineering. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KCC Engineering Cons has no effect on the direction of CG Hi i.e., CG Hi and KCC Engineering go up and down completely randomly.
Pair Corralation between CG Hi and KCC Engineering
Assuming the 90 days trading horizon CG Hi Tech is expected to under-perform the KCC Engineering. In addition to that, CG Hi is 2.2 times more volatile than KCC Engineering Construction. It trades about -0.22 of its total potential returns per unit of risk. KCC Engineering Construction is currently generating about -0.01 per unit of volatility. If you would invest 410,297 in KCC Engineering Construction on October 6, 2024 and sell it today you would lose (4,797) from holding KCC Engineering Construction or give up 1.17% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
CG Hi Tech vs. KCC Engineering Construction
Performance |
Timeline |
CG Hi Tech |
KCC Engineering Cons |
CG Hi and KCC Engineering Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CG Hi and KCC Engineering
The main advantage of trading using opposite CG Hi and KCC Engineering positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CG Hi position performs unexpectedly, KCC Engineering 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 KCC Engineering will offset losses from the drop in KCC Engineering's long position.CG Hi vs. Atinum Investment Co | CG Hi vs. LB Investment | CG Hi vs. Golden Bridge Investment | CG Hi vs. Coloray International Investment |
KCC Engineering vs. Stic Investments | KCC Engineering vs. Samsung Life Insurance | KCC Engineering vs. Korea Investment Holdings | KCC Engineering vs. Lotte Non Life Insurance |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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