Correlation Between Golden Bridge and Vissem Electronics
Can any of the company-specific risk be diversified away by investing in both Golden Bridge and Vissem Electronics 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 Vissem Electronics 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 Vissem Electronics Co, you can compare the effects of market volatilities on Golden Bridge and Vissem Electronics 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 Vissem Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Golden Bridge and Vissem Electronics.
Diversification Opportunities for Golden Bridge and Vissem Electronics
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Golden and Vissem is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Golden Bridge Investment and Vissem Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vissem Electronics 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 Vissem Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vissem Electronics has no effect on the direction of Golden Bridge i.e., Golden Bridge and Vissem Electronics go up and down completely randomly.
Pair Corralation between Golden Bridge and Vissem Electronics
Assuming the 90 days trading horizon Golden Bridge Investment is expected to generate 0.74 times more return on investment than Vissem Electronics. However, Golden Bridge Investment is 1.35 times less risky than Vissem Electronics. It trades about -0.06 of its potential returns per unit of risk. Vissem Electronics Co is currently generating about -0.1 per unit of risk. If you would invest 45,100 in Golden Bridge Investment on October 6, 2024 and sell it today you would lose (1,900) from holding Golden Bridge Investment or give up 4.21% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Golden Bridge Investment vs. Vissem Electronics Co
Performance |
Timeline |
Golden Bridge Investment |
Vissem Electronics |
Golden Bridge and Vissem Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Golden Bridge and Vissem Electronics
The main advantage of trading using opposite Golden Bridge and Vissem Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Golden Bridge position performs unexpectedly, Vissem Electronics 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 Vissem Electronics will offset losses from the drop in Vissem Electronics' long position.Golden Bridge vs. Wonbang Tech Co | Golden Bridge vs. Daiyang Metal Co | Golden Bridge vs. Solution Advanced Technology | Golden Bridge vs. Busan Industrial Co |
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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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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