Correlation Between Formosa Chemicals and Est Global
Can any of the company-specific risk be diversified away by investing in both Formosa Chemicals and Est Global 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 Chemicals and Est Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Formosa Chemicals Fibre and Est Global Apparel, you can compare the effects of market volatilities on Formosa Chemicals and Est Global 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 Chemicals with a short position of Est Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Formosa Chemicals and Est Global.
Diversification Opportunities for Formosa Chemicals and Est Global
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Formosa and Est is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Formosa Chemicals Fibre and Est Global Apparel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Est Global Apparel and Formosa Chemicals 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 Chemicals Fibre are associated (or correlated) with Est Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Est Global Apparel has no effect on the direction of Formosa Chemicals i.e., Formosa Chemicals and Est Global go up and down completely randomly.
Pair Corralation between Formosa Chemicals and Est Global
Assuming the 90 days trading horizon Formosa Chemicals Fibre is expected to under-perform the Est Global. But the stock apears to be less risky and, when comparing its historical volatility, Formosa Chemicals Fibre is 1.88 times less risky than Est Global. The stock trades about -0.48 of its potential returns per unit of risk. The Est Global Apparel is currently generating about -0.05 of returns per unit of risk over similar time horizon. If you would invest 1,800 in Est Global Apparel on October 11, 2024 and sell it today you would lose (110.00) from holding Est Global Apparel or give up 6.11% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Formosa Chemicals Fibre vs. Est Global Apparel
Performance |
Timeline |
Formosa Chemicals Fibre |
Est Global Apparel |
Formosa Chemicals and Est Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Formosa Chemicals and Est Global
The main advantage of trading using opposite Formosa Chemicals and Est Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Formosa Chemicals position performs unexpectedly, Est Global 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 Est Global will offset losses from the drop in Est Global's long position.Formosa Chemicals vs. Formosa Plastics Corp | Formosa Chemicals vs. Nan Ya Plastics | Formosa Chemicals vs. Formosa Petrochemical Corp | Formosa Chemicals vs. Cathay Financial Holding |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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