Correlation Between Formosa Plastics and Mayer Steel
Can any of the company-specific risk be diversified away by investing in both Formosa Plastics and Mayer Steel 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 Mayer Steel 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 Mayer Steel Pipe, you can compare the effects of market volatilities on Formosa Plastics and Mayer Steel 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 Mayer Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Formosa Plastics and Mayer Steel.
Diversification Opportunities for Formosa Plastics and Mayer Steel
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Formosa and Mayer is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Formosa Plastics Corp and Mayer Steel Pipe in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mayer Steel Pipe 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 Mayer Steel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mayer Steel Pipe has no effect on the direction of Formosa Plastics i.e., Formosa Plastics and Mayer Steel go up and down completely randomly.
Pair Corralation between Formosa Plastics and Mayer Steel
Assuming the 90 days trading horizon Formosa Plastics Corp is expected to under-perform the Mayer Steel. But the stock apears to be less risky and, when comparing its historical volatility, Formosa Plastics Corp is 1.09 times less risky than Mayer Steel. The stock trades about -0.19 of its potential returns per unit of risk. The Mayer Steel Pipe is currently generating about -0.09 of returns per unit of risk over similar time horizon. If you would invest 3,610 in Mayer Steel Pipe on September 22, 2024 and sell it today you would lose (845.00) from holding Mayer Steel Pipe or give up 23.41% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Formosa Plastics Corp vs. Mayer Steel Pipe
Performance |
Timeline |
Formosa Plastics Corp |
Mayer Steel Pipe |
Formosa Plastics and Mayer Steel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Formosa Plastics and Mayer Steel
The main advantage of trading using opposite Formosa Plastics and Mayer Steel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Formosa Plastics position performs unexpectedly, Mayer Steel 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 Mayer Steel will offset losses from the drop in Mayer Steel'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 |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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