Correlation Between Lealea Enterprise and Tang Eng
Can any of the company-specific risk be diversified away by investing in both Lealea Enterprise and Tang Eng 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 Lealea Enterprise and Tang Eng into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lealea Enterprise Co and Tang Eng Iron, you can compare the effects of market volatilities on Lealea Enterprise and Tang Eng 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 Lealea Enterprise with a short position of Tang Eng. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lealea Enterprise and Tang Eng.
Diversification Opportunities for Lealea Enterprise and Tang Eng
-0.29 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Lealea and Tang is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding Lealea Enterprise Co and Tang Eng Iron in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tang Eng Iron and Lealea Enterprise 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 Lealea Enterprise Co are associated (or correlated) with Tang Eng. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tang Eng Iron has no effect on the direction of Lealea Enterprise i.e., Lealea Enterprise and Tang Eng go up and down completely randomly.
Pair Corralation between Lealea Enterprise and Tang Eng
Assuming the 90 days trading horizon Lealea Enterprise Co is expected to under-perform the Tang Eng. In addition to that, Lealea Enterprise is 1.23 times more volatile than Tang Eng Iron. It trades about -0.01 of its total potential returns per unit of risk. Tang Eng Iron is currently generating about 0.03 per unit of volatility. If you would invest 3,185 in Tang Eng Iron on September 18, 2024 and sell it today you would earn a total of 45.00 from holding Tang Eng Iron or generate 1.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Lealea Enterprise Co vs. Tang Eng Iron
Performance |
Timeline |
Lealea Enterprise |
Tang Eng Iron |
Lealea Enterprise and Tang Eng Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lealea Enterprise and Tang Eng
The main advantage of trading using opposite Lealea Enterprise and Tang Eng positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lealea Enterprise position performs unexpectedly, Tang Eng 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 Tang Eng will offset losses from the drop in Tang Eng's long position.Lealea Enterprise vs. Feng Tay Enterprises | Lealea Enterprise vs. Ruentex Development Co | Lealea Enterprise vs. WiseChip Semiconductor | Lealea Enterprise vs. Novatek Microelectronics Corp |
Tang Eng vs. Tainan Spinning Co | Tang Eng vs. Lealea Enterprise Co | Tang Eng vs. China Petrochemical Development | Tang Eng vs. Ruentex Development 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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