Correlation Between United Microelectronics and HUNTINGTON
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By analyzing existing cross correlation between United Microelectronics and HUNTINGTON BANCSHARES INC, you can compare the effects of market volatilities on United Microelectronics and HUNTINGTON 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 United Microelectronics with a short position of HUNTINGTON. Check out your portfolio center. Please also check ongoing floating volatility patterns of United Microelectronics and HUNTINGTON.
Diversification Opportunities for United Microelectronics and HUNTINGTON
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between United and HUNTINGTON is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding United Microelectronics and HUNTINGTON BANCSHARES INC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HUNTINGTON BANCSHARES INC and United Microelectronics 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 United Microelectronics are associated (or correlated) with HUNTINGTON. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HUNTINGTON BANCSHARES INC has no effect on the direction of United Microelectronics i.e., United Microelectronics and HUNTINGTON go up and down completely randomly.
Pair Corralation between United Microelectronics and HUNTINGTON
Considering the 90-day investment horizon United Microelectronics is expected to under-perform the HUNTINGTON. In addition to that, United Microelectronics is 5.87 times more volatile than HUNTINGTON BANCSHARES INC. It trades about -0.12 of its total potential returns per unit of risk. HUNTINGTON BANCSHARES INC is currently generating about -0.22 per unit of volatility. If you would invest 9,956 in HUNTINGTON BANCSHARES INC on September 22, 2024 and sell it today you would lose (110.00) from holding HUNTINGTON BANCSHARES INC or give up 1.1% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
United Microelectronics vs. HUNTINGTON BANCSHARES INC
Performance |
Timeline |
United Microelectronics |
HUNTINGTON BANCSHARES INC |
United Microelectronics and HUNTINGTON Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United Microelectronics and HUNTINGTON
The main advantage of trading using opposite United Microelectronics and HUNTINGTON positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United Microelectronics position performs unexpectedly, HUNTINGTON 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 HUNTINGTON will offset losses from the drop in HUNTINGTON's long position.The idea behind United Microelectronics and HUNTINGTON BANCSHARES INC pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.HUNTINGTON vs. Everspin Technologies | HUNTINGTON vs. United Microelectronics | HUNTINGTON vs. Lucid Group | HUNTINGTON vs. Visteon Corp |
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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