Correlation Between Tong Yang and Merida Industry
Can any of the company-specific risk be diversified away by investing in both Tong Yang 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 Tong Yang and Merida Industry into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tong Yang Industry and Merida Industry Co, you can compare the effects of market volatilities on Tong Yang 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 Tong Yang with a short position of Merida Industry. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tong Yang and Merida Industry.
Diversification Opportunities for Tong Yang and Merida Industry
-0.64 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Tong and Merida is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding Tong Yang Industry and Merida Industry Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Merida Industry and Tong Yang 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 Tong Yang Industry 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 Tong Yang i.e., Tong Yang and Merida Industry go up and down completely randomly.
Pair Corralation between Tong Yang and Merida Industry
Assuming the 90 days trading horizon Tong Yang Industry is expected to generate 1.07 times more return on investment than Merida Industry. However, Tong Yang is 1.07 times more volatile than Merida Industry Co. It trades about 0.09 of its potential returns per unit of risk. Merida Industry Co is currently generating about 0.0 per unit of risk. If you would invest 4,395 in Tong Yang Industry on October 13, 2024 and sell it today you would earn a total of 6,605 from holding Tong Yang Industry or generate 150.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 99.79% |
Values | Daily Returns |
Tong Yang Industry vs. Merida Industry Co
Performance |
Timeline |
Tong Yang Industry |
Merida Industry |
Tong Yang and Merida Industry Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tong Yang and Merida Industry
The main advantage of trading using opposite Tong Yang and Merida Industry positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tong Yang 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.Tong Yang vs. TYC Brother Industrial | Tong Yang vs. Hota Industrial Mfg | Tong Yang vs. Yulon Motor Co | Tong Yang vs. Far Eastern New |
Merida Industry vs. Giant Manufacturing Co | Merida Industry vs. Cheng Shin Rubber | Merida Industry vs. Feng Tay Enterprises | Merida Industry vs. President Chain Store |
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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