Correlation Between Rafael Microelectronics and Chung Hwa
Can any of the company-specific risk be diversified away by investing in both Rafael Microelectronics and Chung Hwa 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 Rafael Microelectronics and Chung Hwa into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Rafael Microelectronics and Chung Hwa Food, you can compare the effects of market volatilities on Rafael Microelectronics and Chung Hwa 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 Rafael Microelectronics with a short position of Chung Hwa. Check out your portfolio center. Please also check ongoing floating volatility patterns of Rafael Microelectronics and Chung Hwa.
Diversification Opportunities for Rafael Microelectronics and Chung Hwa
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Rafael and Chung is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Rafael Microelectronics and Chung Hwa Food in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chung Hwa Food and Rafael 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 Rafael Microelectronics are associated (or correlated) with Chung Hwa. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chung Hwa Food has no effect on the direction of Rafael Microelectronics i.e., Rafael Microelectronics and Chung Hwa go up and down completely randomly.
Pair Corralation between Rafael Microelectronics and Chung Hwa
Assuming the 90 days trading horizon Rafael Microelectronics is expected to under-perform the Chung Hwa. In addition to that, Rafael Microelectronics is 7.59 times more volatile than Chung Hwa Food. It trades about -0.09 of its total potential returns per unit of risk. Chung Hwa Food is currently generating about -0.14 per unit of volatility. If you would invest 8,800 in Chung Hwa Food on October 4, 2024 and sell it today you would lose (60.00) from holding Chung Hwa Food or give up 0.68% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.65% |
Values | Daily Returns |
Rafael Microelectronics vs. Chung Hwa Food
Performance |
Timeline |
Rafael Microelectronics |
Chung Hwa Food |
Rafael Microelectronics and Chung Hwa Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Rafael Microelectronics and Chung Hwa
The main advantage of trading using opposite Rafael Microelectronics and Chung Hwa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Rafael Microelectronics position performs unexpectedly, Chung Hwa 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 Chung Hwa will offset losses from the drop in Chung Hwa's long position.Rafael Microelectronics vs. Charoen Pokphand Enterprise | Rafael Microelectronics vs. Taiwan Secom Co | Rafael Microelectronics vs. Ruentex Development Co | Rafael Microelectronics vs. Symtek Automation Asia |
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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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