Correlation Between Cheng Shin and Makalot Industrial
Can any of the company-specific risk be diversified away by investing in both Cheng Shin and Makalot Industrial 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 Cheng Shin and Makalot Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cheng Shin Rubber and Makalot Industrial Co, you can compare the effects of market volatilities on Cheng Shin and Makalot Industrial 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 Cheng Shin with a short position of Makalot Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cheng Shin and Makalot Industrial.
Diversification Opportunities for Cheng Shin and Makalot Industrial
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Cheng and Makalot is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding Cheng Shin Rubber and Makalot Industrial Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Makalot Industrial and Cheng Shin 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 Cheng Shin Rubber are associated (or correlated) with Makalot Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Makalot Industrial has no effect on the direction of Cheng Shin i.e., Cheng Shin and Makalot Industrial go up and down completely randomly.
Pair Corralation between Cheng Shin and Makalot Industrial
Assuming the 90 days trading horizon Cheng Shin Rubber is expected to generate 0.8 times more return on investment than Makalot Industrial. However, Cheng Shin Rubber is 1.25 times less risky than Makalot Industrial. It trades about 0.01 of its potential returns per unit of risk. Makalot Industrial Co is currently generating about -0.07 per unit of risk. If you would invest 4,970 in Cheng Shin Rubber on September 25, 2024 and sell it today you would earn a total of 30.00 from holding Cheng Shin Rubber or generate 0.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 99.21% |
Values | Daily Returns |
Cheng Shin Rubber vs. Makalot Industrial Co
Performance |
Timeline |
Cheng Shin Rubber |
Makalot Industrial |
Cheng Shin and Makalot Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cheng Shin and Makalot Industrial
The main advantage of trading using opposite Cheng Shin and Makalot Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cheng Shin position performs unexpectedly, Makalot Industrial 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 Makalot Industrial will offset losses from the drop in Makalot Industrial's long position.Cheng Shin vs. Merida Industry Co | Cheng Shin vs. Uni President Enterprises Corp | Cheng Shin vs. Pou Chen Corp |
Makalot Industrial vs. Merida Industry Co | Makalot Industrial vs. Cheng Shin Rubber | Makalot Industrial vs. Uni President Enterprises Corp | Makalot Industrial 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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