Correlation Between Korea Investment and CU Tech
Can any of the company-specific risk be diversified away by investing in both Korea Investment and CU Tech 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 Korea Investment and CU Tech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Korea Investment Holdings and CU Tech Corp, you can compare the effects of market volatilities on Korea Investment and CU Tech 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 Korea Investment with a short position of CU Tech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Korea Investment and CU Tech.
Diversification Opportunities for Korea Investment and CU Tech
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Korea and 376290 is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Korea Investment Holdings and CU Tech Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CU Tech Corp and Korea Investment 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 Korea Investment Holdings are associated (or correlated) with CU Tech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CU Tech Corp has no effect on the direction of Korea Investment i.e., Korea Investment and CU Tech go up and down completely randomly.
Pair Corralation between Korea Investment and CU Tech
Assuming the 90 days trading horizon Korea Investment Holdings is expected to generate 0.6 times more return on investment than CU Tech. However, Korea Investment Holdings is 1.68 times less risky than CU Tech. It trades about 0.1 of its potential returns per unit of risk. CU Tech Corp is currently generating about -0.13 per unit of risk. If you would invest 5,300,000 in Korea Investment Holdings on August 31, 2024 and sell it today you would earn a total of 100,000 from holding Korea Investment Holdings or generate 1.89% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Korea Investment Holdings vs. CU Tech Corp
Performance |
| Timeline |
| Korea Investment Holdings |
| CU Tech Corp |
Korea Investment and CU Tech Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Korea Investment and CU Tech
The main advantage of trading using opposite Korea Investment and CU Tech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Korea Investment position performs unexpectedly, CU Tech 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 CU Tech will offset losses from the drop in CU Tech's long position.| Korea Investment vs. AptaBio Therapeutics | Korea Investment vs. Daewoo SBI SPAC | Korea Investment vs. Dream Security co | Korea Investment vs. Microfriend |
| CU Tech vs. Atinum Investment Co | CU Tech vs. Coloray International Investment | CU Tech vs. DB Financial Investment | CU Tech vs. NH Investment Securities |
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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