Correlation Between Nan Ya and Formosa Plastics
Can any of the company-specific risk be diversified away by investing in both Nan Ya and Formosa Plastics 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 Nan Ya and Formosa Plastics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nan Ya Plastics and Formosa Plastics Corp, you can compare the effects of market volatilities on Nan Ya and Formosa Plastics 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 Nan Ya with a short position of Formosa Plastics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nan Ya and Formosa Plastics.
Diversification Opportunities for Nan Ya and Formosa Plastics
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Nan and Formosa is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Nan Ya Plastics and Formosa Plastics Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Formosa Plastics Corp and Nan Ya 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 Nan Ya Plastics are associated (or correlated) with Formosa Plastics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Formosa Plastics Corp has no effect on the direction of Nan Ya i.e., Nan Ya and Formosa Plastics go up and down completely randomly.
Pair Corralation between Nan Ya and Formosa Plastics
Assuming the 90 days trading horizon Nan Ya is expected to generate 1.58 times less return on investment than Formosa Plastics. But when comparing it to its historical volatility, Nan Ya Plastics is 1.07 times less risky than Formosa Plastics. It trades about 0.03 of its potential returns per unit of risk. Formosa Plastics Corp is currently generating about 0.05 of returns per unit of risk over similar time horizon. 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 |
Nan Ya Plastics vs. Formosa Plastics Corp
Performance |
Timeline |
Nan Ya Plastics |
Formosa Plastics Corp |
Nan Ya and Formosa Plastics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nan Ya and Formosa Plastics
The main advantage of trading using opposite Nan Ya and Formosa Plastics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nan Ya position performs unexpectedly, Formosa Plastics 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 Plastics will offset losses from the drop in Formosa Plastics' long position.Nan Ya vs. Formosa Plastics Corp | Nan Ya vs. Formosa Chemicals Fibre | Nan Ya vs. China Steel Corp | Nan Ya vs. Formosa Petrochemical Corp |
Formosa Plastics vs. Nan Ya Plastics | Formosa Plastics vs. Formosa Chemicals Fibre | Formosa Plastics vs. China Steel Corp | Formosa Plastics 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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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