Correlation Between ANJI Technology and Singtex Industrial
Can any of the company-specific risk be diversified away by investing in both ANJI Technology and Singtex 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 ANJI Technology and Singtex Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ANJI Technology Co and Singtex Industrial Co, you can compare the effects of market volatilities on ANJI Technology and Singtex 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 ANJI Technology with a short position of Singtex Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of ANJI Technology and Singtex Industrial.
Diversification Opportunities for ANJI Technology and Singtex Industrial
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between ANJI and Singtex is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding ANJI Technology Co and Singtex Industrial Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Singtex Industrial and ANJI Technology 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 ANJI Technology Co are associated (or correlated) with Singtex Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Singtex Industrial has no effect on the direction of ANJI Technology i.e., ANJI Technology and Singtex Industrial go up and down completely randomly.
Pair Corralation between ANJI Technology and Singtex Industrial
Assuming the 90 days trading horizon ANJI Technology Co is expected to under-perform the Singtex Industrial. In addition to that, ANJI Technology is 3.71 times more volatile than Singtex Industrial Co. It trades about -0.12 of its total potential returns per unit of risk. Singtex Industrial Co is currently generating about -0.07 per unit of volatility. If you would invest 2,835 in Singtex Industrial Co on September 15, 2024 and sell it today you would lose (75.00) from holding Singtex Industrial Co or give up 2.65% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
ANJI Technology Co vs. Singtex Industrial Co
Performance |
Timeline |
ANJI Technology |
Singtex Industrial |
ANJI Technology and Singtex Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ANJI Technology and Singtex Industrial
The main advantage of trading using opposite ANJI Technology and Singtex Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ANJI Technology position performs unexpectedly, Singtex 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 Singtex Industrial will offset losses from the drop in Singtex Industrial's long position.ANJI Technology vs. AU Optronics | ANJI Technology vs. Innolux Corp | ANJI Technology vs. Ruentex Development Co | ANJI Technology vs. WiseChip Semiconductor |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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