Correlation Between CG Hi and Kyung-In Synthetic
Can any of the company-specific risk be diversified away by investing in both CG Hi and Kyung-In Synthetic 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 Kyung-In Synthetic 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 Kyung In Synthetic Corp, you can compare the effects of market volatilities on CG Hi and Kyung-In Synthetic 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 Kyung-In Synthetic. Check out your portfolio center. Please also check ongoing floating volatility patterns of CG Hi and Kyung-In Synthetic.
Diversification Opportunities for CG Hi and Kyung-In Synthetic
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between 264660 and Kyung-In is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding CG Hi Tech and Kyung In Synthetic Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kyung In Synthetic 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 Kyung-In Synthetic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kyung In Synthetic has no effect on the direction of CG Hi i.e., CG Hi and Kyung-In Synthetic go up and down completely randomly.
Pair Corralation between CG Hi and Kyung-In Synthetic
Assuming the 90 days trading horizon CG Hi Tech is expected to under-perform the Kyung-In Synthetic. In addition to that, CG Hi is 1.38 times more volatile than Kyung In Synthetic Corp. It trades about -0.09 of its total potential returns per unit of risk. Kyung In Synthetic Corp is currently generating about -0.08 per unit of volatility. If you would invest 338,282 in Kyung In Synthetic Corp on September 30, 2024 and sell it today you would lose (67,782) from holding Kyung In Synthetic Corp or give up 20.04% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
CG Hi Tech vs. Kyung In Synthetic Corp
Performance |
Timeline |
CG Hi Tech |
Kyung In Synthetic |
CG Hi and Kyung-In Synthetic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CG Hi and Kyung-In Synthetic
The main advantage of trading using opposite CG Hi and Kyung-In Synthetic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CG Hi position performs unexpectedly, Kyung-In Synthetic 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 Kyung-In Synthetic will offset losses from the drop in Kyung-In Synthetic's long position.The idea behind CG Hi Tech and Kyung In Synthetic Corp pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Kyung-In Synthetic vs. AptaBio Therapeutics | Kyung-In Synthetic vs. Wonbang Tech Co | Kyung-In Synthetic vs. Busan Industrial Co | Kyung-In Synthetic vs. Busan Ind |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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