Correlation Between YuantaP Shares and Yeong Guan
Can any of the company-specific risk be diversified away by investing in both YuantaP Shares and Yeong Guan 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 YuantaP Shares and Yeong Guan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between YuantaP shares Taiwan Electronics and Yeong Guan Energy, you can compare the effects of market volatilities on YuantaP Shares and Yeong Guan 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 YuantaP Shares with a short position of Yeong Guan. Check out your portfolio center. Please also check ongoing floating volatility patterns of YuantaP Shares and Yeong Guan.
Diversification Opportunities for YuantaP Shares and Yeong Guan
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between YuantaP and Yeong is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding YuantaP shares Taiwan Electron and Yeong Guan Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yeong Guan Energy and YuantaP Shares 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 YuantaP shares Taiwan Electronics are associated (or correlated) with Yeong Guan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yeong Guan Energy has no effect on the direction of YuantaP Shares i.e., YuantaP Shares and Yeong Guan go up and down completely randomly.
Pair Corralation between YuantaP Shares and Yeong Guan
Assuming the 90 days trading horizon YuantaP shares Taiwan Electronics is expected to generate 0.82 times more return on investment than Yeong Guan. However, YuantaP shares Taiwan Electronics is 1.22 times less risky than Yeong Guan. It trades about 0.09 of its potential returns per unit of risk. Yeong Guan Energy is currently generating about -0.15 per unit of risk. If you would invest 9,640 in YuantaP shares Taiwan Electronics on September 15, 2024 and sell it today you would earn a total of 700.00 from holding YuantaP shares Taiwan Electronics or generate 7.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
YuantaP shares Taiwan Electron vs. Yeong Guan Energy
Performance |
Timeline |
YuantaP shares Taiwan |
Yeong Guan Energy |
YuantaP Shares and Yeong Guan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with YuantaP Shares and Yeong Guan
The main advantage of trading using opposite YuantaP Shares and Yeong Guan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if YuantaP Shares position performs unexpectedly, Yeong Guan 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 Yeong Guan will offset losses from the drop in Yeong Guan's long position.YuantaP Shares vs. YuantaP shares Taiwan Top | YuantaP Shares vs. Yuanta Daily Taiwan | YuantaP Shares vs. Cathay Taiwan 5G | YuantaP Shares vs. Yuanta Daily CSI |
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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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