Correlation Between Formosa Plastics and Senao Networks
Can any of the company-specific risk be diversified away by investing in both Formosa Plastics and Senao Networks 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 Senao Networks 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 Senao Networks, you can compare the effects of market volatilities on Formosa Plastics and Senao Networks 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 Senao Networks. Check out your portfolio center. Please also check ongoing floating volatility patterns of Formosa Plastics and Senao Networks.
Diversification Opportunities for Formosa Plastics and Senao Networks
-0.77 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Formosa and Senao is -0.77. Overlapping area represents the amount of risk that can be diversified away by holding Formosa Plastics Corp and Senao Networks in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Senao Networks 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 Senao Networks. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Senao Networks has no effect on the direction of Formosa Plastics i.e., Formosa Plastics and Senao Networks go up and down completely randomly.
Pair Corralation between Formosa Plastics and Senao Networks
Assuming the 90 days trading horizon Formosa Plastics Corp is expected to under-perform the Senao Networks. But the stock apears to be less risky and, when comparing its historical volatility, Formosa Plastics Corp is 2.26 times less risky than Senao Networks. The stock trades about -0.13 of its potential returns per unit of risk. The Senao Networks is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 20,450 in Senao Networks on September 25, 2024 and sell it today you would earn a total of 0.00 from holding Senao Networks or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Formosa Plastics Corp vs. Senao Networks
Performance |
Timeline |
Formosa Plastics Corp |
Senao Networks |
Formosa Plastics and Senao Networks Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Formosa Plastics and Senao Networks
The main advantage of trading using opposite Formosa Plastics and Senao Networks positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Formosa Plastics position performs unexpectedly, Senao Networks 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 Senao Networks will offset losses from the drop in Senao Networks' long position.Formosa Plastics vs. Formosa Chemicals Fibre | Formosa Plastics vs. China Steel Corp | Formosa Plastics vs. Formosa Petrochemical Corp | Formosa Plastics 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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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