Correlation Between Shieh Yih and Formosa International
Can any of the company-specific risk be diversified away by investing in both Shieh Yih and Formosa International 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 Shieh Yih and Formosa International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shieh Yih Machinery and Formosa International Hotels, you can compare the effects of market volatilities on Shieh Yih and Formosa International 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 Shieh Yih with a short position of Formosa International. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shieh Yih and Formosa International.
Diversification Opportunities for Shieh Yih and Formosa International
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Shieh and Formosa is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Shieh Yih Machinery and Formosa International Hotels in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Formosa International and Shieh Yih 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 Shieh Yih Machinery are associated (or correlated) with Formosa International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Formosa International has no effect on the direction of Shieh Yih i.e., Shieh Yih and Formosa International go up and down completely randomly.
Pair Corralation between Shieh Yih and Formosa International
Assuming the 90 days trading horizon Shieh Yih Machinery is expected to generate 2.9 times more return on investment than Formosa International. However, Shieh Yih is 2.9 times more volatile than Formosa International Hotels. It trades about -0.01 of its potential returns per unit of risk. Formosa International Hotels is currently generating about -0.11 per unit of risk. If you would invest 4,025 in Shieh Yih Machinery on September 21, 2024 and sell it today you would lose (125.00) from holding Shieh Yih Machinery or give up 3.11% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Shieh Yih Machinery vs. Formosa International Hotels
Performance |
Timeline |
Shieh Yih Machinery |
Formosa International |
Shieh Yih and Formosa International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shieh Yih and Formosa International
The main advantage of trading using opposite Shieh Yih and Formosa International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shieh Yih position performs unexpectedly, Formosa International 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 International will offset losses from the drop in Formosa International's long position.Shieh Yih vs. Great China Metal | Shieh Yih vs. BRIM Biotechnology | Shieh Yih vs. Asia Metal Industries | Shieh Yih vs. Golden Biotechnology |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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