Correlation Between Formosa Plastics and WIN Semiconductors
Can any of the company-specific risk be diversified away by investing in both Formosa Plastics and WIN Semiconductors 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 Plastics and WIN Semiconductors into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Formosa Plastics Corp and WIN Semiconductors, you can compare the effects of market volatilities on Formosa Plastics and WIN Semiconductors 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 Plastics with a short position of WIN Semiconductors. Check out your portfolio center. Please also check ongoing floating volatility patterns of Formosa Plastics and WIN Semiconductors.
Diversification Opportunities for Formosa Plastics and WIN Semiconductors
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Formosa and WIN is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Formosa Plastics Corp and WIN Semiconductors in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WIN Semiconductors and Formosa Plastics 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 Plastics Corp are associated (or correlated) with WIN Semiconductors. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WIN Semiconductors has no effect on the direction of Formosa Plastics i.e., Formosa Plastics and WIN Semiconductors go up and down completely randomly.
Pair Corralation between Formosa Plastics and WIN Semiconductors
Assuming the 90 days trading horizon Formosa Plastics Corp is expected to generate 1.07 times more return on investment than WIN Semiconductors. However, Formosa Plastics is 1.07 times more volatile than WIN Semiconductors. It trades about -0.11 of its potential returns per unit of risk. WIN Semiconductors is currently generating about -0.14 per unit of risk. If you would invest 5,050 in Formosa Plastics Corp on August 31, 2024 and sell it today you would lose (780.00) from holding Formosa Plastics Corp or give up 15.45% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Formosa Plastics Corp vs. WIN Semiconductors
Performance |
Timeline |
Formosa Plastics Corp |
WIN Semiconductors |
Formosa Plastics and WIN Semiconductors Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Formosa Plastics and WIN Semiconductors
The main advantage of trading using opposite Formosa Plastics and WIN Semiconductors positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Formosa Plastics position performs unexpectedly, WIN Semiconductors 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 WIN Semiconductors will offset losses from the drop in WIN Semiconductors' long position.Formosa Plastics vs. Basso Industry Corp | Formosa Plastics vs. Chung Hsin Electric Machinery | Formosa Plastics vs. TYC Brother Industrial | Formosa Plastics vs. TECO Electric Machinery |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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