Correlation Between Onyx Healthcare and Formosa Chemicals
Can any of the company-specific risk be diversified away by investing in both Onyx Healthcare and Formosa Chemicals 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 Onyx Healthcare and Formosa Chemicals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Onyx Healthcare and Formosa Chemicals Fibre, you can compare the effects of market volatilities on Onyx Healthcare and Formosa Chemicals 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 Onyx Healthcare with a short position of Formosa Chemicals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Onyx Healthcare and Formosa Chemicals.
Diversification Opportunities for Onyx Healthcare and Formosa Chemicals
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Onyx and Formosa is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Onyx Healthcare and Formosa Chemicals Fibre in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Formosa Chemicals Fibre and Onyx Healthcare 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 Onyx Healthcare are associated (or correlated) with Formosa Chemicals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Formosa Chemicals Fibre has no effect on the direction of Onyx Healthcare i.e., Onyx Healthcare and Formosa Chemicals go up and down completely randomly.
Pair Corralation between Onyx Healthcare and Formosa Chemicals
Assuming the 90 days trading horizon Onyx Healthcare is expected to generate 1.13 times more return on investment than Formosa Chemicals. However, Onyx Healthcare is 1.13 times more volatile than Formosa Chemicals Fibre. It trades about 0.04 of its potential returns per unit of risk. Formosa Chemicals Fibre is currently generating about -0.28 per unit of risk. If you would invest 15,200 in Onyx Healthcare on September 13, 2024 and sell it today you would earn a total of 200.00 from holding Onyx Healthcare or generate 1.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Onyx Healthcare vs. Formosa Chemicals Fibre
Performance |
Timeline |
Onyx Healthcare |
Formosa Chemicals Fibre |
Onyx Healthcare and Formosa Chemicals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Onyx Healthcare and Formosa Chemicals
The main advantage of trading using opposite Onyx Healthcare and Formosa Chemicals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Onyx Healthcare position performs unexpectedly, Formosa Chemicals 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 Formosa Chemicals will offset losses from the drop in Formosa Chemicals' long position.Onyx Healthcare vs. YuantaP shares Taiwan Mid Cap | Onyx Healthcare vs. Fubon MSCI Taiwan | Onyx Healthcare vs. YuantaP shares Taiwan Top | Onyx Healthcare vs. YuantaP shares Taiwan Electronics |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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