Correlation Between Golden Bridge and SEOWONINTECHCoLtd
Can any of the company-specific risk be diversified away by investing in both Golden Bridge and SEOWONINTECHCoLtd 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 Golden Bridge and SEOWONINTECHCoLtd into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Golden Bridge Investment and SEOWONINTECHCoLtd, you can compare the effects of market volatilities on Golden Bridge and SEOWONINTECHCoLtd 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 Golden Bridge with a short position of SEOWONINTECHCoLtd. Check out your portfolio center. Please also check ongoing floating volatility patterns of Golden Bridge and SEOWONINTECHCoLtd.
Diversification Opportunities for Golden Bridge and SEOWONINTECHCoLtd
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Golden and SEOWONINTECHCoLtd is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Golden Bridge Investment and SEOWONINTECHCoLtd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SEOWONINTECHCoLtd and Golden Bridge 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 Golden Bridge Investment are associated (or correlated) with SEOWONINTECHCoLtd. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SEOWONINTECHCoLtd has no effect on the direction of Golden Bridge i.e., Golden Bridge and SEOWONINTECHCoLtd go up and down completely randomly.
Pair Corralation between Golden Bridge and SEOWONINTECHCoLtd
Assuming the 90 days trading horizon Golden Bridge Investment is expected to under-perform the SEOWONINTECHCoLtd. In addition to that, Golden Bridge is 1.6 times more volatile than SEOWONINTECHCoLtd. It trades about -0.07 of its total potential returns per unit of risk. SEOWONINTECHCoLtd is currently generating about 0.01 per unit of volatility. If you would invest 516,628 in SEOWONINTECHCoLtd on October 30, 2024 and sell it today you would earn a total of 21,372 from holding SEOWONINTECHCoLtd or generate 4.14% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Golden Bridge Investment vs. SEOWONINTECHCoLtd
Performance |
| Timeline |
| Golden Bridge Investment |
| SEOWONINTECHCoLtd |
Golden Bridge and SEOWONINTECHCoLtd Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Golden Bridge and SEOWONINTECHCoLtd
The main advantage of trading using opposite Golden Bridge and SEOWONINTECHCoLtd positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Golden Bridge position performs unexpectedly, SEOWONINTECHCoLtd 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 SEOWONINTECHCoLtd will offset losses from the drop in SEOWONINTECHCoLtd's long position.| Golden Bridge vs. Lotte Data Communication | Golden Bridge vs. Nice Information Telecommunication | Golden Bridge vs. Dongwoo Farm To | Golden Bridge vs. Keyang Electric Machinery |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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