Correlation Between Uni President and Merida Industry
Can any of the company-specific risk be diversified away by investing in both Uni President and Merida Industry 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 Merida Industry 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 Merida Industry Co, you can compare the effects of market volatilities on Uni President and Merida Industry 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 Merida Industry. Check out your portfolio center. Please also check ongoing floating volatility patterns of Uni President and Merida Industry.
Diversification Opportunities for Uni President and Merida Industry
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Uni and Merida is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Uni President Enterprises Corp and Merida Industry Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Merida Industry 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 Merida Industry. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Merida Industry has no effect on the direction of Uni President i.e., Uni President and Merida Industry go up and down completely randomly.
Pair Corralation between Uni President and Merida Industry
Assuming the 90 days trading horizon Uni President Enterprises Corp is expected to generate 0.51 times more return on investment than Merida Industry. However, Uni President Enterprises Corp is 1.94 times less risky than Merida Industry. It trades about -0.01 of its potential returns per unit of risk. Merida Industry Co is currently generating about -0.1 per unit of risk. If you would invest 8,290 in Uni President Enterprises Corp on September 22, 2024 and sell it today you would lose (190.00) from holding Uni President Enterprises Corp or give up 2.29% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Uni President Enterprises Corp vs. Merida Industry Co
Performance |
Timeline |
Uni President Enterp |
Merida Industry |
Uni President and Merida Industry Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Uni President and Merida Industry
The main advantage of trading using opposite Uni President and Merida Industry positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Uni President position performs unexpectedly, Merida Industry 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 Merida Industry will offset losses from the drop in Merida Industry's long position.Uni President vs. AGV Products Corp | Uni President vs. Taisun Enterprise Co | Uni President vs. De Licacy Industrial | Uni President vs. Wisher Industrial Co |
Merida Industry vs. Cheng Shin Rubber | Merida Industry vs. Uni President Enterprises Corp | Merida Industry 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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