Correlation Between Formosa Petrochemical and Chun Yuan
Can any of the company-specific risk be diversified away by investing in both Formosa Petrochemical and Chun Yuan 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 Formosa Petrochemical and Chun Yuan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Formosa Petrochemical Corp and Chun Yuan Steel, you can compare the effects of market volatilities on Formosa Petrochemical and Chun Yuan 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 Formosa Petrochemical with a short position of Chun Yuan. Check out your portfolio center. Please also check ongoing floating volatility patterns of Formosa Petrochemical and Chun Yuan.
Diversification Opportunities for Formosa Petrochemical and Chun Yuan
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Formosa and Chun is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding Formosa Petrochemical Corp and Chun Yuan Steel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chun Yuan Steel and Formosa Petrochemical 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 Formosa Petrochemical Corp are associated (or correlated) with Chun Yuan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chun Yuan Steel has no effect on the direction of Formosa Petrochemical i.e., Formosa Petrochemical and Chun Yuan go up and down completely randomly.
Pair Corralation between Formosa Petrochemical and Chun Yuan
Assuming the 90 days trading horizon Formosa Petrochemical Corp is expected to under-perform the Chun Yuan. In addition to that, Formosa Petrochemical is 1.79 times more volatile than Chun Yuan Steel. It trades about -0.5 of its total potential returns per unit of risk. Chun Yuan Steel is currently generating about -0.07 per unit of volatility. If you would invest 1,850 in Chun Yuan Steel on September 29, 2024 and sell it today you would lose (30.00) from holding Chun Yuan Steel or give up 1.62% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.65% |
Values | Daily Returns |
Formosa Petrochemical Corp vs. Chun Yuan Steel
Performance |
Timeline |
Formosa Petrochemical |
Chun Yuan Steel |
Formosa Petrochemical and Chun Yuan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Formosa Petrochemical and Chun Yuan
The main advantage of trading using opposite Formosa Petrochemical and Chun Yuan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Formosa Petrochemical position performs unexpectedly, Chun Yuan 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 Chun Yuan will offset losses from the drop in Chun Yuan's long position.Formosa Petrochemical vs. Advanced Wireless Semiconductor | Formosa Petrochemical vs. Ibase Gaming | Formosa Petrochemical vs. STARLUX Airlines Co | Formosa Petrochemical vs. Union Insurance Co |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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