Correlation Between CU Medical and Guyoung Technology
Can any of the company-specific risk be diversified away by investing in both CU Medical and Guyoung Technology 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 CU Medical and Guyoung Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CU Medical Systems and Guyoung Technology Co, you can compare the effects of market volatilities on CU Medical and Guyoung Technology 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 CU Medical with a short position of Guyoung Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of CU Medical and Guyoung Technology.
Diversification Opportunities for CU Medical and Guyoung Technology
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between 115480 and Guyoung is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding CU Medical Systems and Guyoung Technology Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guyoung Technology and CU Medical 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 CU Medical Systems are associated (or correlated) with Guyoung Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guyoung Technology has no effect on the direction of CU Medical i.e., CU Medical and Guyoung Technology go up and down completely randomly.
Pair Corralation between CU Medical and Guyoung Technology
Assuming the 90 days trading horizon CU Medical Systems is expected to under-perform the Guyoung Technology. But the stock apears to be less risky and, when comparing its historical volatility, CU Medical Systems is 1.64 times less risky than Guyoung Technology. The stock trades about -0.17 of its potential returns per unit of risk. The Guyoung Technology Co is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 201,500 in Guyoung Technology Co on December 25, 2024 and sell it today you would earn a total of 21,000 from holding Guyoung Technology Co or generate 10.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CU Medical Systems vs. Guyoung Technology Co
Performance |
Timeline |
CU Medical Systems |
Guyoung Technology |
CU Medical and Guyoung Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CU Medical and Guyoung Technology
The main advantage of trading using opposite CU Medical and Guyoung Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CU Medical position performs unexpectedly, Guyoung Technology 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 Guyoung Technology will offset losses from the drop in Guyoung Technology's long position.CU Medical vs. Anam Electronics Co | CU Medical vs. Vissem Electronics Co | CU Medical vs. Fine Besteel Co | CU Medical vs. Dongbu Steel Co |
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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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