Correlation Between Sunko Ink and Formosa Chemicals
Can any of the company-specific risk be diversified away by investing in both Sunko Ink 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 Sunko Ink and Formosa Chemicals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sunko Ink Co and Formosa Chemicals Fibre, you can compare the effects of market volatilities on Sunko Ink 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 Sunko Ink with a short position of Formosa Chemicals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sunko Ink and Formosa Chemicals.
Diversification Opportunities for Sunko Ink and Formosa Chemicals
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Sunko and Formosa is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding Sunko Ink Co 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 Sunko Ink 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 Sunko Ink Co 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 Sunko Ink i.e., Sunko Ink and Formosa Chemicals go up and down completely randomly.
Pair Corralation between Sunko Ink and Formosa Chemicals
Assuming the 90 days trading horizon Sunko Ink Co is expected to generate 1.91 times more return on investment than Formosa Chemicals. However, Sunko Ink is 1.91 times more volatile than Formosa Chemicals Fibre. It trades about 0.02 of its potential returns per unit of risk. Formosa Chemicals Fibre is currently generating about -0.13 per unit of risk. If you would invest 1,475 in Sunko Ink Co on September 26, 2024 and sell it today you would earn a total of 165.00 from holding Sunko Ink Co or generate 11.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 99.79% |
Values | Daily Returns |
Sunko Ink Co vs. Formosa Chemicals Fibre
Performance |
Timeline |
Sunko Ink |
Formosa Chemicals Fibre |
Sunko Ink and Formosa Chemicals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sunko Ink and Formosa Chemicals
The main advantage of trading using opposite Sunko Ink and Formosa Chemicals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sunko Ink 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.Sunko Ink vs. Formosa Chemicals Fibre | Sunko Ink vs. China Steel Corp | Sunko Ink vs. Formosa Petrochemical Corp | Sunko Ink vs. Cathay Financial Holding |
Formosa Chemicals vs. China Steel Corp | Formosa Chemicals vs. Formosa Petrochemical Corp | Formosa Chemicals vs. Cathay Financial Holding |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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