Correlation Between CG Hi and Sung Bo
Can any of the company-specific risk be diversified away by investing in both CG Hi and Sung Bo 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 Sung Bo 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 Sung Bo Chemicals, you can compare the effects of market volatilities on CG Hi and Sung Bo 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 Sung Bo. Check out your portfolio center. Please also check ongoing floating volatility patterns of CG Hi and Sung Bo.
Diversification Opportunities for CG Hi and Sung Bo
Almost no diversification
The 3 months correlation between 264660 and Sung is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding CG Hi Tech and Sung Bo Chemicals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sung Bo Chemicals 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 Sung Bo. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sung Bo Chemicals has no effect on the direction of CG Hi i.e., CG Hi and Sung Bo go up and down completely randomly.
Pair Corralation between CG Hi and Sung Bo
Assuming the 90 days trading horizon CG Hi Tech is expected to generate 1.35 times more return on investment than Sung Bo. However, CG Hi is 1.35 times more volatile than Sung Bo Chemicals. It trades about 0.0 of its potential returns per unit of risk. Sung Bo Chemicals is currently generating about -0.02 per unit of risk. If you would invest 1,124,375 in CG Hi Tech on September 2, 2024 and sell it today you would lose (136,375) from holding CG Hi Tech or give up 12.13% 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. Sung Bo Chemicals
Performance |
| Timeline |
| CG Hi Tech |
| Sung Bo Chemicals |
CG Hi and Sung Bo Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with CG Hi and Sung Bo
The main advantage of trading using opposite CG Hi and Sung Bo positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CG Hi position performs unexpectedly, Sung Bo 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 Sung Bo will offset losses from the drop in Sung Bo's long position.The idea behind CG Hi Tech and Sung Bo Chemicals 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.| Sung Bo vs. AptaBio Therapeutics | Sung Bo vs. Daewoo SBI SPAC | Sung Bo vs. Dream Security co | Sung Bo vs. Microfriend |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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