Correlation Between UET United and UMC Electronics
Can any of the company-specific risk be diversified away by investing in both UET United and UMC Electronics 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 UET United and UMC Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between UET United Electronic and UMC Electronics Co, you can compare the effects of market volatilities on UET United and UMC Electronics 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 UET United with a short position of UMC Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of UET United and UMC Electronics.
Diversification Opportunities for UET United and UMC Electronics
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between UET and UMC is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding UET United Electronic and UMC Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UMC Electronics and UET United 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 UET United Electronic are associated (or correlated) with UMC Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UMC Electronics has no effect on the direction of UET United i.e., UET United and UMC Electronics go up and down completely randomly.
Pair Corralation between UET United and UMC Electronics
Assuming the 90 days trading horizon UET United Electronic is expected to generate 1.4 times more return on investment than UMC Electronics. However, UET United is 1.4 times more volatile than UMC Electronics Co. It trades about 0.01 of its potential returns per unit of risk. UMC Electronics Co is currently generating about -0.02 per unit of risk. If you would invest 92.00 in UET United Electronic on October 4, 2024 and sell it today you would lose (4.00) from holding UET United Electronic or give up 4.35% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
UET United Electronic vs. UMC Electronics Co
Performance |
Timeline |
UET United Electronic |
UMC Electronics |
UET United and UMC Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with UET United and UMC Electronics
The main advantage of trading using opposite UET United and UMC Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if UET United position performs unexpectedly, UMC Electronics 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 UMC Electronics will offset losses from the drop in UMC Electronics' long position.UET United vs. SIVERS SEMICONDUCTORS AB | UET United vs. Talanx AG | UET United vs. Norsk Hydro ASA | UET United vs. Volkswagen AG |
UMC Electronics vs. MEDICAL FACILITIES NEW | UMC Electronics vs. SEKISUI CHEMICAL | UMC Electronics vs. IMAGIN MEDICAL INC | UMC Electronics vs. China BlueChemical |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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