Correlation Between Pou Chen and Formosa Optical
Can any of the company-specific risk be diversified away by investing in both Pou Chen and Formosa Optical 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 Pou Chen and Formosa Optical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pou Chen Corp and Formosa Optical Technology, you can compare the effects of market volatilities on Pou Chen and Formosa Optical 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 Pou Chen with a short position of Formosa Optical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pou Chen and Formosa Optical.
Diversification Opportunities for Pou Chen and Formosa Optical
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Pou and Formosa is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Pou Chen Corp and Formosa Optical Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Formosa Optical Tech and Pou Chen 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 Pou Chen Corp are associated (or correlated) with Formosa Optical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Formosa Optical Tech has no effect on the direction of Pou Chen i.e., Pou Chen and Formosa Optical go up and down completely randomly.
Pair Corralation between Pou Chen and Formosa Optical
Assuming the 90 days trading horizon Pou Chen is expected to generate 3.88 times less return on investment than Formosa Optical. In addition to that, Pou Chen is 1.18 times more volatile than Formosa Optical Technology. It trades about 0.03 of its total potential returns per unit of risk. Formosa Optical Technology is currently generating about 0.13 per unit of volatility. If you would invest 5,223 in Formosa Optical Technology on September 24, 2024 and sell it today you would earn a total of 5,627 from holding Formosa Optical Technology or generate 107.74% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Pou Chen Corp vs. Formosa Optical Technology
Performance |
Timeline |
Pou Chen Corp |
Formosa Optical Tech |
Pou Chen and Formosa Optical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pou Chen and Formosa Optical
The main advantage of trading using opposite Pou Chen and Formosa Optical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pou Chen position performs unexpectedly, Formosa Optical 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 Optical will offset losses from the drop in Formosa Optical's long position.Pou Chen vs. Merida Industry Co | Pou Chen vs. Cheng Shin Rubber | Pou Chen vs. Uni President Enterprises Corp |
Formosa Optical vs. Merida Industry Co | Formosa Optical vs. Cheng Shin Rubber | Formosa Optical vs. Uni President Enterprises Corp | Formosa Optical vs. Pou Chen 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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