Correlation Between Golden Biotechnology and Shan Loong
Can any of the company-specific risk be diversified away by investing in both Golden Biotechnology and Shan Loong 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 Biotechnology and Shan Loong into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Golden Biotechnology and Shan Loong Transportation Co, you can compare the effects of market volatilities on Golden Biotechnology and Shan Loong 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 Biotechnology with a short position of Shan Loong. Check out your portfolio center. Please also check ongoing floating volatility patterns of Golden Biotechnology and Shan Loong.
Diversification Opportunities for Golden Biotechnology and Shan Loong
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Golden and Shan is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Golden Biotechnology and Shan Loong Transportation Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shan Loong Transport and Golden Biotechnology 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 Biotechnology are associated (or correlated) with Shan Loong. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shan Loong Transport has no effect on the direction of Golden Biotechnology i.e., Golden Biotechnology and Shan Loong go up and down completely randomly.
Pair Corralation between Golden Biotechnology and Shan Loong
Assuming the 90 days trading horizon Golden Biotechnology is expected to generate 2.35 times more return on investment than Shan Loong. However, Golden Biotechnology is 2.35 times more volatile than Shan Loong Transportation Co. It trades about -0.11 of its potential returns per unit of risk. Shan Loong Transportation Co is currently generating about -0.32 per unit of risk. If you would invest 1,825 in Golden Biotechnology on October 5, 2024 and sell it today you would lose (320.00) from holding Golden Biotechnology or give up 17.53% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Golden Biotechnology vs. Shan Loong Transportation Co
Performance |
Timeline |
Golden Biotechnology |
Shan Loong Transport |
Golden Biotechnology and Shan Loong Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Golden Biotechnology and Shan Loong
The main advantage of trading using opposite Golden Biotechnology and Shan Loong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Golden Biotechnology position performs unexpectedly, Shan Loong 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 Shan Loong will offset losses from the drop in Shan Loong's long position.Golden Biotechnology vs. Grape King Bio | Golden Biotechnology vs. ScinoPharm Taiwan | Golden Biotechnology vs. TTY Biopharm Co | Golden Biotechnology vs. YungShin Global Holding |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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