Correlation Between ThinTech Materials and Baotek Industrial
Can any of the company-specific risk be diversified away by investing in both ThinTech Materials and Baotek 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 ThinTech Materials and Baotek Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ThinTech Materials Technology and Baotek Industrial Materials, you can compare the effects of market volatilities on ThinTech Materials and Baotek 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 ThinTech Materials with a short position of Baotek Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of ThinTech Materials and Baotek Industrial.
Diversification Opportunities for ThinTech Materials and Baotek Industrial
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between ThinTech and Baotek is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding ThinTech Materials Technology and Baotek Industrial Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Baotek Industrial and ThinTech Materials 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 ThinTech Materials Technology are associated (or correlated) with Baotek Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Baotek Industrial has no effect on the direction of ThinTech Materials i.e., ThinTech Materials and Baotek Industrial go up and down completely randomly.
Pair Corralation between ThinTech Materials and Baotek Industrial
Assuming the 90 days trading horizon ThinTech Materials Technology is expected to under-perform the Baotek Industrial. In addition to that, ThinTech Materials is 1.1 times more volatile than Baotek Industrial Materials. It trades about -0.18 of its total potential returns per unit of risk. Baotek Industrial Materials is currently generating about -0.11 per unit of volatility. If you would invest 4,425 in Baotek Industrial Materials on October 9, 2024 and sell it today you would lose (545.00) from holding Baotek Industrial Materials or give up 12.32% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ThinTech Materials Technology vs. Baotek Industrial Materials
Performance |
Timeline |
ThinTech Materials |
Baotek Industrial |
ThinTech Materials and Baotek Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ThinTech Materials and Baotek Industrial
The main advantage of trading using opposite ThinTech Materials and Baotek Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ThinTech Materials position performs unexpectedly, Baotek 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 Baotek Industrial will offset losses from the drop in Baotek Industrial's long position.ThinTech Materials vs. Catcher Technology Co | ThinTech Materials vs. Solar Applied Materials | ThinTech Materials vs. Evergreen Steel Corp | ThinTech Materials vs. Shin Zu Shing |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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