Correlation Between Tehmag Foods and Formosa International
Can any of the company-specific risk be diversified away by investing in both Tehmag Foods 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 Tehmag Foods and Formosa International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tehmag Foods and Formosa International Hotels, you can compare the effects of market volatilities on Tehmag Foods 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 Tehmag Foods with a short position of Formosa International. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tehmag Foods and Formosa International.
Diversification Opportunities for Tehmag Foods and Formosa International
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Tehmag and Formosa is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Tehmag Foods and Formosa International Hotels in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Formosa International and Tehmag Foods 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 Tehmag Foods 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 Tehmag Foods i.e., Tehmag Foods and Formosa International go up and down completely randomly.
Pair Corralation between Tehmag Foods and Formosa International
Assuming the 90 days trading horizon Tehmag Foods is expected to generate 0.51 times more return on investment than Formosa International. However, Tehmag Foods is 1.96 times less risky than Formosa International. It trades about -0.03 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 31,450 in Tehmag Foods on September 21, 2024 and sell it today you would lose (250.00) from holding Tehmag Foods or give up 0.79% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
Tehmag Foods vs. Formosa International Hotels
Performance |
Timeline |
Tehmag Foods |
Formosa International |
Tehmag Foods and Formosa International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tehmag Foods and Formosa International
The main advantage of trading using opposite Tehmag Foods and Formosa International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tehmag Foods 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.Tehmag Foods vs. MediaTek | Tehmag Foods vs. Feng Ching Metal | Tehmag Foods vs. U Tech Media Corp | Tehmag Foods vs. China Metal Products |
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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 Valuation module to check real value of public entities based on technical and fundamental data.
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