Correlation Between Formosa Plastics and Nan Ya
Can any of the company-specific risk be diversified away by investing in both Formosa Plastics and Nan Ya 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 Nan Ya 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 Nan Ya Plastics, you can compare the effects of market volatilities on Formosa Plastics and Nan Ya 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 Nan Ya. Check out your portfolio center. Please also check ongoing floating volatility patterns of Formosa Plastics and Nan Ya.
Diversification Opportunities for Formosa Plastics and Nan Ya
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Formosa and Nan is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Formosa Plastics Corp and Nan Ya Plastics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nan Ya Plastics 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 Nan Ya. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nan Ya Plastics has no effect on the direction of Formosa Plastics i.e., Formosa Plastics and Nan Ya go up and down completely randomly.
Pair Corralation between Formosa Plastics and Nan Ya
Assuming the 90 days trading horizon Formosa Plastics Corp is expected to generate 1.07 times more return on investment than Nan Ya. However, Formosa Plastics is 1.07 times more volatile than Nan Ya Plastics. It trades about 0.05 of its potential returns per unit of risk. Nan Ya Plastics is currently generating about 0.03 per unit of risk. If you would invest 3,550 in Formosa Plastics Corp on December 30, 2024 and sell it today you would earn a total of 200.00 from holding Formosa Plastics Corp or generate 5.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Formosa Plastics Corp vs. Nan Ya Plastics
Performance |
Timeline |
Formosa Plastics Corp |
Nan Ya Plastics |
Formosa Plastics and Nan Ya Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Formosa Plastics and Nan Ya
The main advantage of trading using opposite Formosa Plastics and Nan Ya positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Formosa Plastics position performs unexpectedly, Nan Ya 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 Nan Ya will offset losses from the drop in Nan Ya's long position.Formosa Plastics vs. Nan Ya Plastics | Formosa Plastics vs. Formosa Chemicals Fibre | Formosa Plastics vs. China Steel Corp | Formosa Plastics vs. Formosa Petrochemical Corp |
Nan Ya vs. Formosa Plastics Corp | Nan Ya vs. Formosa Chemicals Fibre | Nan Ya vs. China Steel Corp | Nan Ya vs. Formosa Petrochemical Corp |
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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