Correlation Between Air Transport and UMC Electronics
Can any of the company-specific risk be diversified away by investing in both Air Transport 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 Air Transport and UMC Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Air Transport Services and UMC Electronics Co, you can compare the effects of market volatilities on Air Transport 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 Air Transport with a short position of UMC Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Air Transport and UMC Electronics.
Diversification Opportunities for Air Transport and UMC Electronics
-0.25 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Air and UMC is -0.25. Overlapping area represents the amount of risk that can be diversified away by holding Air Transport Services and UMC Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UMC Electronics and Air Transport 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 Air Transport Services 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 Air Transport i.e., Air Transport and UMC Electronics go up and down completely randomly.
Pair Corralation between Air Transport and UMC Electronics
Assuming the 90 days horizon Air Transport Services is expected to under-perform the UMC Electronics. But the stock apears to be less risky and, when comparing its historical volatility, Air Transport Services is 4.51 times less risky than UMC Electronics. The stock trades about -0.08 of its potential returns per unit of risk. The UMC Electronics Co is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 171.00 in UMC Electronics Co on December 20, 2024 and sell it today you would earn a total of 20.00 from holding UMC Electronics Co or generate 11.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Air Transport Services vs. UMC Electronics Co
Performance |
Timeline |
Air Transport Services |
UMC Electronics |
Air Transport and UMC Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Air Transport and UMC Electronics
The main advantage of trading using opposite Air Transport and UMC Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Air Transport 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.Air Transport vs. New Residential Investment | Air Transport vs. Yunnan Water Investment | Air Transport vs. Perdoceo Education | Air Transport vs. JLF INVESTMENT |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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