Correlation Between Airtac International and Ta Liang
Can any of the company-specific risk be diversified away by investing in both Airtac International and Ta Liang 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 Airtac International and Ta Liang into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Airtac International Group and Ta Liang Technology, you can compare the effects of market volatilities on Airtac International and Ta Liang 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 Airtac International with a short position of Ta Liang. Check out your portfolio center. Please also check ongoing floating volatility patterns of Airtac International and Ta Liang.
Diversification Opportunities for Airtac International and Ta Liang
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Airtac and 3167 is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Airtac International Group and Ta Liang Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ta Liang Technology and Airtac International 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 Airtac International Group are associated (or correlated) with Ta Liang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ta Liang Technology has no effect on the direction of Airtac International i.e., Airtac International and Ta Liang go up and down completely randomly.
Pair Corralation between Airtac International and Ta Liang
Assuming the 90 days trading horizon Airtac International Group is expected to generate 0.73 times more return on investment than Ta Liang. However, Airtac International Group is 1.37 times less risky than Ta Liang. It trades about 0.0 of its potential returns per unit of risk. Ta Liang Technology is currently generating about -0.06 per unit of risk. If you would invest 80,243 in Airtac International Group on September 24, 2024 and sell it today you would lose (1,443) from holding Airtac International Group or give up 1.8% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Airtac International Group vs. Ta Liang Technology
Performance |
Timeline |
Airtac International |
Ta Liang Technology |
Airtac International and Ta Liang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Airtac International and Ta Liang
The main advantage of trading using opposite Airtac International and Ta Liang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Airtac International position performs unexpectedly, Ta Liang 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 Ta Liang will offset losses from the drop in Ta Liang's long position.Airtac International vs. Yang Ming Marine | Airtac International vs. Evergreen Marine Corp | Airtac International vs. Eva Airways Corp | Airtac International vs. U Ming Marine Transport |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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