Correlation Between Uni President and Feng Tay
Can any of the company-specific risk be diversified away by investing in both Uni President and Feng Tay 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 Uni President and Feng Tay into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Uni President Enterprises Corp and Feng Tay Enterprises, you can compare the effects of market volatilities on Uni President and Feng Tay 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 Uni President with a short position of Feng Tay. Check out your portfolio center. Please also check ongoing floating volatility patterns of Uni President and Feng Tay.
Diversification Opportunities for Uni President and Feng Tay
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Uni and Feng is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Uni President Enterprises Corp and Feng Tay Enterprises in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Feng Tay Enterprises and Uni President 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 Uni President Enterprises Corp are associated (or correlated) with Feng Tay. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Feng Tay Enterprises has no effect on the direction of Uni President i.e., Uni President and Feng Tay go up and down completely randomly.
Pair Corralation between Uni President and Feng Tay
Assuming the 90 days trading horizon Uni President Enterprises Corp is expected to generate 0.54 times more return on investment than Feng Tay. However, Uni President Enterprises Corp is 1.84 times less risky than Feng Tay. It trades about 0.08 of its potential returns per unit of risk. Feng Tay Enterprises is currently generating about 0.03 per unit of risk. If you would invest 8,210 in Uni President Enterprises Corp on September 5, 2024 and sell it today you would earn a total of 440.00 from holding Uni President Enterprises Corp or generate 5.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Uni President Enterprises Corp vs. Feng Tay Enterprises
Performance |
Timeline |
Uni President Enterp |
Feng Tay Enterprises |
Uni President and Feng Tay Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Uni President and Feng Tay
The main advantage of trading using opposite Uni President and Feng Tay positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Uni President position performs unexpectedly, Feng Tay 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 Feng Tay will offset losses from the drop in Feng Tay's long position.Uni President vs. President Chain Store | Uni President vs. Formosa Plastics Corp | Uni President vs. Nan Ya Plastics | Uni President vs. Taiwan Cement Corp |
Feng Tay vs. Pou Chen Corp | Feng Tay vs. Eclat Textile Co | Feng Tay vs. Hotai Motor Co | Feng Tay vs. Giant Manufacturing Co |
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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