Correlation Between Genovate Biotechnology and Min Aik
Can any of the company-specific risk be diversified away by investing in both Genovate Biotechnology and Min Aik 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 Genovate Biotechnology and Min Aik into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Genovate Biotechnology Co and Min Aik Technology, you can compare the effects of market volatilities on Genovate Biotechnology and Min Aik 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 Genovate Biotechnology with a short position of Min Aik. Check out your portfolio center. Please also check ongoing floating volatility patterns of Genovate Biotechnology and Min Aik.
Diversification Opportunities for Genovate Biotechnology and Min Aik
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Genovate and Min is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Genovate Biotechnology Co and Min Aik Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Min Aik Technology and Genovate 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 Genovate Biotechnology Co are associated (or correlated) with Min Aik. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Min Aik Technology has no effect on the direction of Genovate Biotechnology i.e., Genovate Biotechnology and Min Aik go up and down completely randomly.
Pair Corralation between Genovate Biotechnology and Min Aik
Assuming the 90 days trading horizon Genovate Biotechnology Co is expected to generate 1.02 times more return on investment than Min Aik. However, Genovate Biotechnology is 1.02 times more volatile than Min Aik Technology. It trades about 0.06 of its potential returns per unit of risk. Min Aik Technology is currently generating about 0.02 per unit of risk. If you would invest 2,195 in Genovate Biotechnology Co on December 4, 2024 and sell it today you would earn a total of 140.00 from holding Genovate Biotechnology Co or generate 6.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Genovate Biotechnology Co vs. Min Aik Technology
Performance |
Timeline |
Genovate Biotechnology |
Min Aik Technology |
Genovate Biotechnology and Min Aik Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Genovate Biotechnology and Min Aik
The main advantage of trading using opposite Genovate Biotechnology and Min Aik positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Genovate Biotechnology position performs unexpectedly, Min Aik 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 Min Aik will offset losses from the drop in Min Aik's long position.Genovate Biotechnology vs. Chun Yuan Steel | Genovate Biotechnology vs. Advanced Wireless Semiconductor | Genovate Biotechnology vs. Forest Water Environmental | Genovate Biotechnology vs. Quintain Steel 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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