Correlation Between United Microelectronics and Stepan
Can any of the company-specific risk be diversified away by investing in both United Microelectronics and Stepan 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 United Microelectronics and Stepan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between United Microelectronics and Stepan Company, you can compare the effects of market volatilities on United Microelectronics and Stepan 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 Stepan. Check out your portfolio center. Please also check ongoing floating volatility patterns of United Microelectronics and Stepan.
Diversification Opportunities for United Microelectronics and Stepan
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between United and Stepan is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding United Microelectronics and Stepan Company in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stepan Company 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 Stepan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stepan Company has no effect on the direction of United Microelectronics i.e., United Microelectronics and Stepan go up and down completely randomly.
Pair Corralation between United Microelectronics and Stepan
Considering the 90-day investment horizon United Microelectronics is expected to under-perform the Stepan. But the stock apears to be less risky and, when comparing its historical volatility, United Microelectronics is 1.13 times less risky than Stepan. The stock trades about -0.21 of its potential returns per unit of risk. The Stepan Company is currently generating about -0.08 of returns per unit of risk over similar time horizon. If you would invest 7,319 in Stepan Company on September 21, 2024 and sell it today you would lose (530.00) from holding Stepan Company or give up 7.24% 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. Stepan Company
Performance |
Timeline |
United Microelectronics |
Stepan Company |
United Microelectronics and Stepan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United Microelectronics and Stepan
The main advantage of trading using opposite United Microelectronics and Stepan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United Microelectronics position performs unexpectedly, Stepan 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 Stepan will offset losses from the drop in Stepan's long position.United Microelectronics vs. Silicon Motion Technology | United Microelectronics vs. ASE Industrial Holding | United Microelectronics vs. ChipMOS Technologies | United Microelectronics vs. SemiLEDS |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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