Correlation Between Macauto Industrial and E Lead
Can any of the company-specific risk be diversified away by investing in both Macauto Industrial and E Lead 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 Macauto Industrial and E Lead into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Macauto Industrial Co and E Lead Electronic Co, you can compare the effects of market volatilities on Macauto Industrial and E Lead 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 Macauto Industrial with a short position of E Lead. Check out your portfolio center. Please also check ongoing floating volatility patterns of Macauto Industrial and E Lead.
Diversification Opportunities for Macauto Industrial and E Lead
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Macauto and 2497 is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Macauto Industrial Co and E Lead Electronic Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on E Lead Electronic and Macauto Industrial 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 Macauto Industrial Co are associated (or correlated) with E Lead. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of E Lead Electronic has no effect on the direction of Macauto Industrial i.e., Macauto Industrial and E Lead go up and down completely randomly.
Pair Corralation between Macauto Industrial and E Lead
Assuming the 90 days trading horizon Macauto Industrial Co is expected to under-perform the E Lead. In addition to that, Macauto Industrial is 1.8 times more volatile than E Lead Electronic Co. It trades about -0.26 of its total potential returns per unit of risk. E Lead Electronic Co is currently generating about -0.47 per unit of volatility. If you would invest 6,450 in E Lead Electronic Co on September 30, 2024 and sell it today you would lose (490.00) from holding E Lead Electronic Co or give up 7.6% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Macauto Industrial Co vs. E Lead Electronic Co
Performance |
Timeline |
Macauto Industrial |
E Lead Electronic |
Macauto Industrial and E Lead Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Macauto Industrial and E Lead
The main advantage of trading using opposite Macauto Industrial and E Lead positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Macauto Industrial position performs unexpectedly, E Lead 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 E Lead will offset losses from the drop in E Lead's long position.Macauto Industrial vs. Hota Industrial Mfg | Macauto Industrial vs. BizLink Holding | Macauto Industrial vs. Cub Elecparts | Macauto Industrial vs. Hu Lane Associate |
E Lead vs. Merida Industry Co | E Lead vs. Cheng Shin Rubber | E Lead vs. Uni President Enterprises Corp | E Lead 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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