Correlation Between Auto Trader and UMC Electronics
Can any of the company-specific risk be diversified away by investing in both Auto Trader 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 Auto Trader and UMC Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Auto Trader Group and UMC Electronics Co, you can compare the effects of market volatilities on Auto Trader 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 Auto Trader with a short position of UMC Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Auto Trader and UMC Electronics.
Diversification Opportunities for Auto Trader and UMC Electronics
-0.38 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Auto and UMC is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding Auto Trader Group and UMC Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UMC Electronics and Auto Trader 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 Auto Trader Group 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 Auto Trader i.e., Auto Trader and UMC Electronics go up and down completely randomly.
Pair Corralation between Auto Trader and UMC Electronics
Assuming the 90 days trading horizon Auto Trader Group is expected to under-perform the UMC Electronics. But the stock apears to be less risky and, when comparing its historical volatility, Auto Trader Group is 2.53 times less risky than UMC Electronics. The stock trades about -0.06 of its potential returns per unit of risk. The UMC Electronics Co is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 174.00 in UMC Electronics Co on December 27, 2024 and sell it today you would earn a total of 17.00 from holding UMC Electronics Co or generate 9.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Auto Trader Group vs. UMC Electronics Co
Performance |
Timeline |
Auto Trader Group |
UMC Electronics |
Auto Trader and UMC Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Auto Trader and UMC Electronics
The main advantage of trading using opposite Auto Trader and UMC Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Auto Trader 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.Auto Trader vs. East Africa Metals | Auto Trader vs. PARKEN Sport Entertainment | Auto Trader vs. SIERRA METALS | Auto Trader vs. TROPHY GAMES DEV |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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