Correlation Between Farglory FTZ and YuantaP Shares
Can any of the company-specific risk be diversified away by investing in both Farglory FTZ and YuantaP Shares 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 Farglory FTZ and YuantaP Shares into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Farglory FTZ Investment and YuantaP shares Taiwan Top, you can compare the effects of market volatilities on Farglory FTZ and YuantaP Shares 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 Farglory FTZ with a short position of YuantaP Shares. Check out your portfolio center. Please also check ongoing floating volatility patterns of Farglory FTZ and YuantaP Shares.
Diversification Opportunities for Farglory FTZ and YuantaP Shares
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Farglory and YuantaP is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Farglory FTZ Investment and YuantaP shares Taiwan Top in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on YuantaP shares Taiwan and Farglory FTZ 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 Farglory FTZ Investment are associated (or correlated) with YuantaP Shares. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of YuantaP shares Taiwan has no effect on the direction of Farglory FTZ i.e., Farglory FTZ and YuantaP Shares go up and down completely randomly.
Pair Corralation between Farglory FTZ and YuantaP Shares
Assuming the 90 days trading horizon Farglory FTZ is expected to generate 110.79 times less return on investment than YuantaP Shares. But when comparing it to its historical volatility, Farglory FTZ Investment is 1.01 times less risky than YuantaP Shares. It trades about 0.0 of its potential returns per unit of risk. YuantaP shares Taiwan Top is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 17,830 in YuantaP shares Taiwan Top on September 12, 2024 and sell it today you would earn a total of 1,630 from holding YuantaP shares Taiwan Top or generate 9.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 95.16% |
Values | Daily Returns |
Farglory FTZ Investment vs. YuantaP shares Taiwan Top
Performance |
Timeline |
Farglory FTZ Investment |
YuantaP shares Taiwan |
Farglory FTZ and YuantaP Shares Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Farglory FTZ and YuantaP Shares
The main advantage of trading using opposite Farglory FTZ and YuantaP Shares positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Farglory FTZ position performs unexpectedly, YuantaP Shares 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 YuantaP Shares will offset losses from the drop in YuantaP Shares' long position.Farglory FTZ vs. Yang Ming Marine | Farglory FTZ vs. Wan Hai Lines | Farglory FTZ vs. U Ming Marine Transport | Farglory FTZ vs. Taiwan Navigation 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 Valuation module to check real value of public entities based on technical and fundamental data.
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