Correlation Between ANJI Technology and Sea Sonic
Can any of the company-specific risk be diversified away by investing in both ANJI Technology and Sea Sonic 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 Sea Sonic 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 Sea Sonic Electronics, you can compare the effects of market volatilities on ANJI Technology and Sea Sonic 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 Sea Sonic. Check out your portfolio center. Please also check ongoing floating volatility patterns of ANJI Technology and Sea Sonic.
Diversification Opportunities for ANJI Technology and Sea Sonic
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between ANJI and Sea is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding ANJI Technology Co and Sea Sonic Electronics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sea Sonic Electronics 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 Sea Sonic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sea Sonic Electronics has no effect on the direction of ANJI Technology i.e., ANJI Technology and Sea Sonic go up and down completely randomly.
Pair Corralation between ANJI Technology and Sea Sonic
Assuming the 90 days trading horizon ANJI Technology Co is expected to generate 1.28 times more return on investment than Sea Sonic. However, ANJI Technology is 1.28 times more volatile than Sea Sonic Electronics. It trades about 0.13 of its potential returns per unit of risk. Sea Sonic Electronics is currently generating about -0.06 per unit of risk. If you would invest 3,130 in ANJI Technology Co on October 6, 2024 and sell it today you would earn a total of 270.00 from holding ANJI Technology Co or generate 8.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ANJI Technology Co vs. Sea Sonic Electronics
Performance |
Timeline |
ANJI Technology |
Sea Sonic Electronics |
ANJI Technology and Sea Sonic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ANJI Technology and Sea Sonic
The main advantage of trading using opposite ANJI Technology and Sea Sonic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ANJI Technology position performs unexpectedly, Sea Sonic 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 Sea Sonic will offset losses from the drop in Sea Sonic's long position.ANJI Technology vs. United Microelectronics | ANJI Technology vs. MediaTek | ANJI Technology vs. Chunghwa Telecom Co | ANJI Technology vs. Delta Electronics |
Sea Sonic vs. Hon Hai Precision | Sea Sonic vs. Delta Electronics | Sea Sonic vs. LARGAN Precision Co | Sea Sonic vs. E Ink Holdings |
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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